八斗学院大数据开发 师徒班 高薪就业+项目实战

八斗学院深耕IT职业培训近7年，依托合规化运营与企业级服务经验，已帮助数千名学员实现转行、进阶、高薪就业，学员满意度超92%。不同于普通培训班的“批量授课、无人管”，我们的师徒班，每一位学员都有专属双导师全程护航，从入门到就业，每一步都有专业指导，让你不用自学摸索，不用踩坑试错，快速掌握大数据开发核心技能，轻松拿到高薪offer。

*   badou_project_data.zip (703.92 MB)

*   draw.io-12.3.2-windows-no-installer.exe (58.07 MB)

*   【01day】开学典礼+hadoop/

  *   code/

    *   hadoop_badou.zip (38.21 MB)

  *   data.zip (79.87 MB)

  *   ppt/

    *   01hadoop+hdfs.pptx (1.54 MB)

    *   02hadpop+MapReduce.pptx (2.28 MB)

    *   03hadoop案例分析.pptx (1.21 MB)

    *   04数据类型以及常用数据处理.pptx (1.63 MB)

  *   作业/

    *   作业1.txt (0.00 MB)

  *   笔记/

    *   01开学典礼.drawio (0.12 MB)

    *   2.hdfs.drawio (0.00 MB)

    *   03Reduce+shuffle+代码分析.drawio (0.85 MB)

  *   视频/

    *   01开学典礼.mp4 (551.57 MB), 51:20

    *   02hadoop之hdfs分布式存储.mp4 (1.08 GB), 01:24:57

    *   03MapReduce详解.mp4 (814.22 MB), 01:08:50

    *   04Mr案例代码分析.mp4 (933.87 MB), 01:18:32

*   【02day】hadoop案例+项目介绍/

  *   homework_24/

    *   count_click1_1/

      *   UserClickCountDriver.java (0.00 MB)

      *   UserClickMapper.java (0.00 MB)

      *   UserClickReducer.java (0.00 MB)

    *   count_click1_2/

      *   Prior.java (0.00 MB)

      *   UserClickListDriver.java (0.00 MB)

      *   UserClickListMapper.java (0.00 MB)

      *   UserClickReducerList.java (0.00 MB)

    *   count_click3/

      *   UserCtrCombine.java (0.00 MB)

      *   UserCtrDriver.java (0.00 MB)

      *   UserCtrMapper.java (0.00 MB)

      *   UserCtrReducer.java (0.00 MB)

  *   【02】hadoop案例+项目介绍.zip (7.63 MB)

  *   视频/

    *   01回归mapreduce.mp4 (1.00 GB), 01:26:42

    *   02作业分析.mp4 (947.88 MB), 01:03:57

    *   03案例分析（分区、序列化）.mp4 (1008.92 MB), 01:39:45

    *   04案例分析（combiner）.mp4 (574.08 MB), 53:35

*   【03day】hadoop案例下/

  *   code/

    *   hadoop_badou.zip (38.21 MB)

  *   ppt/

    *   01hadoop+hdfs.pptx (1.54 MB)

    *   02hadpop+MapReduce.pptx (2.28 MB)

    *   03hadoop案例分析.pptx (1.21 MB)

    *   04数据类型以及常用数据处理.pptx (1.63 MB)

    *   05推荐算法_协同过滤_kmenas聚类.pdf (2.60 MB)

  *   作业/

    *   作业.txt (0.00 MB)

  *   绘图/

    *   上午绘图.drawio (0.40 MB)

    *   下午绘图.drawio (3.14 MB)

  *   视频/

    *   01hadoop案例下_多级mr_多文件mr.mp4 (468.07 MB), 44:52

    *   02_hadoop案例相似好友推荐案例.mp4 (1.15 GB), 01:34:50

    *   03hadoop案例聚类-距离.mp4 (1022.11 MB), 01:22:23

    *   04hadoop案例聚类算法代码解析.mp4 (1.11 GB), 01:06:18

*   【04day】hive/

  *   Hivedata/

    *   1.txt (0.00 MB)

    *   Hally.txt (0.42 MB)

    *   json.txt (0.00 MB)

    *   little_file/

      *   brand/

        *   1_.txt (0.48 MB)

        *   2_.txt (0.48 MB)

        *   3_.txt (0.49 MB)

        *   4_.txt (0.49 MB)

        *   5_.txt (0.49 MB)

        *   6_.txt (0.49 MB)

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        *   85_.txt (0.49 MB)

        *   86_.txt (0.49 MB)

        *   87_.txt (0.49 MB)

        *   88_.txt (0.49 MB)

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        *   91_.txt (0.49 MB)

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        *   94_.txt (0.49 MB)

        *   95_.txt (0.49 MB)

        *   96_.txt (0.49 MB)

        *   97_.txt (0.49 MB)

        *   98_.txt (0.49 MB)

        *   99_.txt (0.49 MB)

      *   hiveData.zip (8.65 MB)

      *   init_course.py (0.00 MB)

      *   init_student.py (0.00 MB)

      *   user_info/

        *   1_.txt (1.70 MB)

        *   2_.txt (1.70 MB)

        *   3_.txt (1.68 MB)

        *   4_.txt (1.73 MB)

        *   5_.txt (1.72 MB)

        *   6_.txt (1.73 MB)

        *   7_.txt (1.73 MB)

        *   8_.txt (1.70 MB)

        *   9_.txt (1.72 MB)

        *   10_.txt (1.73 MB)

        *   11_.txt (1.71 MB)

        *   12_.txt (1.71 MB)

        *   13_.txt (1.71 MB)

        *   14_.txt (1.72 MB)

        *   15_.txt (1.71 MB)

        *   16_.txt (1.70 MB)

        *   17_.txt (1.70 MB)

        *   18_.txt (1.71 MB)

        *   19_.txt (1.73 MB)

        *   20_.txt (1.73 MB)

        *   21_.txt (1.70 MB)

        *   22_.txt (1.71 MB)

        *   23_.txt (1.71 MB)

        *   24_.txt (1.71 MB)

        *   25_.txt (1.73 MB)

        *   26_.txt (1.71 MB)

        *   27_.txt (1.73 MB)

        *   28_.txt (1.71 MB)

        *   29_.txt (1.71 MB)

        *   30_.txt (1.74 MB)

        *   31_.txt (1.71 MB)

        *   32_.txt (1.72 MB)

        *   33_.txt (1.73 MB)

        *   34_.txt (1.73 MB)

        *   35_.txt (1.72 MB)

        *   36_.txt (1.72 MB)

        *   37_.txt (1.71 MB)

        *   38_.txt (1.70 MB)

        *   39_.txt (1.71 MB)

        *   40_.txt (1.68 MB)

        *   41_.txt (1.73 MB)

        *   42_.txt (1.68 MB)

        *   43_.txt (1.72 MB)

        *   44_.txt (1.73 MB)

        *   45_.txt (1.72 MB)

        *   46_.txt (1.70 MB)

        *   47_.txt (1.74 MB)

        *   48_.txt (1.72 MB)

        *   49_.txt (1.72 MB)

        *   50_.txt (1.73 MB)

        *   51_.txt (1.69 MB)

        *   52_.txt (1.69 MB)

        *   53_.txt (1.70 MB)

        *   54_.txt (1.71 MB)

        *   55_.txt (1.71 MB)

        *   56_.txt (1.72 MB)

        *   57_.txt (1.70 MB)

        *   58_.txt (1.71 MB)

        *   59_.txt (1.74 MB)

        *   60_.txt (1.74 MB)

        *   61_.txt (1.73 MB)

        *   62_.txt (1.73 MB)

        *   63_.txt (1.72 MB)

        *   64_.txt (1.69 MB)

        *   65_.txt (1.72 MB)

        *   66_.txt (1.74 MB)

        *   67_.txt (1.71 MB)

        *   68_.txt (1.73 MB)

        *   69_.txt (1.70 MB)

        *   70_.txt (1.74 MB)

        *   71_.txt (1.70 MB)

        *   72_.txt (1.70 MB)

        *   73_.txt (1.70 MB)

        *   74_.txt (1.71 MB)

        *   75_.txt (1.68 MB)

        *   76_.txt (1.72 MB)

        *   77_.txt (1.70 MB)

        *   78_.txt (1.69 MB)

        *   79_.txt (1.73 MB)

        *   80_.txt (1.72 MB)

        *   81_.txt (1.71 MB)

        *   82_.txt (1.70 MB)

        *   83_.txt (1.70 MB)

        *   84_.txt (1.68 MB)

        *   85_.txt (1.70 MB)

        *   86_.txt (1.71 MB)

        *   87_.txt (1.73 MB)

        *   88_.txt (1.69 MB)

        *   89_.txt (1.71 MB)

        *   90_.txt (1.72 MB)

        *   91_.txt (1.73 MB)

        *   92_.txt (1.71 MB)

        *   93_.txt (1.72 MB)

        *   94_.txt (1.72 MB)

        *   95_.txt (1.70 MB)

        *   96_.txt (1.68 MB)

        *   97_.txt (1.71 MB)

        *   98_.txt (1.70 MB)

        *   99_.txt (1.70 MB)

    *   movies/

      *   test1.base (0.00 MB)

      *   ua.base (1.71 MB)

    *   udf/

      *   java_udf/

        *   hiveudf-1.0-SNAPSHOT-jar-with-dependencies.jar (72.80 MB)

      *   python_udf/

        *   run.sh (0.00 MB)

        *   udf.py (0.00 MB)

  *   code/

    *   hiveudf/

      *   .idea/

        *   compiler.xml (0.00 MB)

        *   misc.xml (0.00 MB)

        *   uiDesigner.xml (0.01 MB)

        *   workspace.xml (0.05 MB)

      *   hiveudf.iml (0.00 MB)

      *   pom.xml (0.01 MB)

      *   src/

        *   main/

          *   java/

            *   hbase_server/

              *   GetData.java (0.00 MB)

              *   HbaseUtil.java (0.00 MB)

            *   lib/

              *   Counter.java (0.00 MB)

              *   SetOps.java (0.00 MB)

            *   predict/

              *   PmmlPredict.java (0.00 MB)

              *   TfPredict.java (0.00 MB)

              *   pom.xml (0.01 MB)

              *   rf.pb (0.01 MB)

              *   tree_version_test.pmml (0.00 MB)

            *   udaf/

              *   GenericUDAFAverage.java (0.01 MB)

              *   MaxiNumber.java (0.00 MB)

              *   TotalNumOfLettersGenericUDAF.java (0.01 MB)

              *   UDAFAll.java (0.00 MB)

              *   UDAFAny.java (0.00 MB)

              *   UDAFChooseOne.java (0.00 MB)

              *   UDAFCollect.java (0.00 MB)

              *   UDAFCollectMap.java (0.00 MB)

              *   UDAFCollectWhere.java (0.00 MB)

              *   UDAFCountWhere.java (0.00 MB)

              *   UDAFEntropy.java (0.00 MB)

              *   UDAFGroupLongest.java (0.00 MB)

              *   UDAFHistogram.java (0.00 MB)

              *   UDAFSumWhere.java (0.00 MB)

              *   UDAFTop.java (0.00 MB)

              *   UDAFTopN.java (0.00 MB)

              *   UDAFUnionMap.java (0.00 MB)

              *   UDAFUnionSet.java (0.00 MB)

              *   UDAFWeightedAvg.java (0.00 MB)

              *   UDAFWeightedPercentile.java (0.01 MB)

            *   udf/

              *   HelloUdf.java (0.00 MB)

              *   UDFArgMax.java (0.00 MB)

              *   UDFArgMin.java (0.00 MB)

              *   UDFArrayAggregate.java (0.00 MB)

              *   UDFArrayConcat.java (0.00 MB)

              *   UDFArrayCountOverlap.java (0.00 MB)

              *   UDFArrayExclude.java (0.00 MB)

              *   UDFArrayIntersect.java (0.00 MB)

              *   UDFArrayJoin.java (0.00 MB)

              *   UDFArraySlice.java (0.00 MB)

              *   UDFArraySort.java (0.00 MB)

              *   UDFArrayUnion.java (0.00 MB)

              *   UDFBucket.java (0.00 MB)

              *   UDFCast.java (0.00 MB)

              *   UDFChoose.java (0.00 MB)

              *   UDFCumprod.java (0.00 MB)

              *   UDFCumsum.java (0.00 MB)

              *   UDFDayOfWeek.java (0.00 MB)

              *   UDFDstOffset.java (0.00 MB)

              *   UDFEndsWith.java (0.00 MB)

              *   UDFFill.java (0.00 MB)

              *   UDFFindInArray.java (0.00 MB)

              *   UDFFindInString.java (0.00 MB)

              *   UDFFindSequenceInArray.java (0.00 MB)

              *   UDFGreatCircleDist.java (0.00 MB)

              *   UDFHex2Dec.java (0.00 MB)

              *   UDFIsFinite.java (0.00 MB)

              *   UDFJaccard.java (0.00 MB)

              *   UDFJsonAsArray.java (0.00 MB)

              *   UDFJsonAsMap.java (0.00 MB)

              *   UDFKmeans.java (0.01 MB)

              *   UDFLDA.java (0.00 MB)

              *   UDFLevenshtein.java (0.00 MB)

              *   UDFLogisticRegression.java (0.00 MB)

              *   UDFLongest.java (0.00 MB)

              *   UDFLtrim.java (0.00 MB)

              *   UDFMD5.java (0.00 MB)

              *   UDFMakeJSONArray.java (0.00 MB)

              *   UDFMakeJSONObj.java (0.00 MB)

              *   UDFMapEntropy.java (0.00 MB)

              *   UDFMapExclude.java (0.00 MB)

              *   UDFNormalizeUnicode.java (0.00 MB)

              *   UDFNumberRows.java (0.00 MB)

              *   UDFPmax.java (0.00 MB)

              *   UDFPmin.java (0.00 MB)

              *   UDFPpois.java (0.00 MB)

              *   UDFPrev.java (0.00 MB)

              *   UDFPsum.java (0.00 MB)

              *   UDFRegexpExtractAll.java (0.00 MB)

              *   UDFRtrim.java (0.00 MB)

              *   UDFSample.java (0.00 MB)

              *   UDFStartsWith.java (0.00 MB)

              *   UDFTitleCase.java (0.00 MB)

              *   UDFTrim.java (0.00 MB)

              *   UDFUnescape.java (0.00 MB)

              *   UDFUrlQuote.java (0.00 MB)

              *   UDFWhich.java (0.00 MB)

              *   Wilson.java (0.00 MB)

            *   udtf/

              *   UDTFExplodeIndex.java (0.00 MB)

              *   UDTFExplodeMap.java (0.00 MB)

              *   UDTFRepeatRows.java (0.00 MB)

          *   resources

        *   test/

          *   java

      *   target/

        *   archive-tmp

        *   classes/

          *   hbase_server/

            *   GetData.class (0.00 MB)

            *   HbaseUtil.class (0.01 MB)

          *   lib/

            *   Counter.class (0.00 MB)

            *   SetOps$SetPair.class (0.00 MB)

            *   SetOps.class (0.00 MB)

          *   predict/

            *   PmmlPredict.class (0.01 MB)

            *   TfPredict.class (0.00 MB)

          *   udaf/

            *   GenericUDAFAverage$1.class (0.00 MB)

            *   GenericUDAFAverage$GenericUDAFAverageEvaluator$AverageAgg.class (0.00 MB)

            *   GenericUDAFAverage$GenericUDAFAverageEvaluator.class (0.01 MB)

            *   GenericUDAFAverage.class (0.00 MB)

            *   MaxiNumber$MaxiNumberIntUDAFEvaluator.class (0.00 MB)

            *   MaxiNumber.class (0.00 MB)

            *   TotalNumOfLettersGenericUDAF$TotalNumOfLettersEvaluator$LetterSumAgg.class (0.00 MB)

            *   TotalNumOfLettersGenericUDAF$TotalNumOfLettersEvaluator.class (0.00 MB)

            *   TotalNumOfLettersGenericUDAF.class (0.00 MB)

            *   UDAFAll$UDAFAllEvaluator.class (0.00 MB)

            *   UDAFAll.class (0.00 MB)

            *   UDAFAny$UDAFAnyEvaluator.class (0.00 MB)

            *   UDAFAny.class (0.00 MB)

            *   UDAFChooseOne$Evaluator$State.class (0.00 MB)

            *   UDAFChooseOne$Evaluator.class (0.00 MB)

            *   UDAFChooseOne.class (0.00 MB)

            *   UDAFCollect$GenericUDAFCollectEvaluator$UDAFCollectState.class (0.00 MB)

            *   UDAFCollect$GenericUDAFCollectEvaluator.class (0.00 MB)

            *   UDAFCollect.class (0.00 MB)

            *   UDAFCollectMap$UDAFCollectMapEvaluator.class (0.00 MB)

            *   UDAFCollectMap$UDAFCollectMapState.class (0.00 MB)

            *   UDAFCollectMap.class (0.00 MB)

            *   UDAFCollectWhere$Evaluator.class (0.00 MB)

            *   UDAFCollectWhere$State.class (0.00 MB)

            *   UDAFCollectWhere.class (0.00 MB)

            *   UDAFCountWhere$UDAFCountWhereEvaluator.class (0.00 MB)

            *   UDAFCountWhere.class (0.00 MB)

            *   UDAFEntropy$UDAFEntropyEvaluator.class (0.00 MB)

            *   UDAFEntropy$UDAFEntropyState.class (0.00 MB)

            *   UDAFEntropy.class (0.00 MB)

            *   UDAFGroupLongest$UDAFLongestEvaluator.class (0.00 MB)

            *   UDAFGroupLongest$UDAFLongestState.class (0.00 MB)

            *   UDAFGroupLongest.class (0.00 MB)

            *   UDAFHistogram$UDAFHistogramEvaluator.class (0.00 MB)

            *   UDAFHistogram$UDAFHistogramState.class (0.00 MB)

            *   UDAFHistogram.class (0.00 MB)

            *   UDAFSumWhere$UDAFCountWhereEvaluator.class (0.00 MB)

            *   UDAFSumWhere.class (0.00 MB)

            *   UDAFTop$UDAFTopEvaluator.class (0.00 MB)

            *   UDAFTop$UDAFTopState.class (0.00 MB)

            *   UDAFTop.class (0.00 MB)

            *   UDAFTopN$StringDoublePair.class (0.00 MB)

            *   UDAFTopN$UDAFTopNEvaluator.class (0.00 MB)

            *   UDAFTopN$UDAFTopNState.class (0.00 MB)

            *   UDAFTopN.class (0.00 MB)

            *   UDAFUnionMap$Evaluator.class (0.00 MB)

            *   UDAFUnionMap$State.class (0.00 MB)

            *   UDAFUnionMap.class (0.00 MB)

            *   UDAFUnionSet$Evaluator.class (0.00 MB)

            *   UDAFUnionSet$State.class (0.00 MB)

            *   UDAFUnionSet.class (0.00 MB)

            *   UDAFWeightedAvg$UDAFWeightedAvgEvaluator$State.class (0.00 MB)

            *   UDAFWeightedAvg$UDAFWeightedAvgEvaluator.class (0.00 MB)

            *   UDAFWeightedAvg.class (0.00 MB)

            *   UDAFWeightedPercentile$MyComparator.class (0.00 MB)

            *   UDAFWeightedPercentile$PercentileLongArrayEvaluator.class (0.00 MB)

            *   UDAFWeightedPercentile$State.class (0.00 MB)

            *   UDAFWeightedPercentile.class (0.00 MB)

          *   udf/

            *   HelloUdf.class (0.00 MB)

            *   UDFArgMax.class (0.00 MB)

            *   UDFArgMin.class (0.00 MB)

            *   UDFArrayAggregate.class (0.01 MB)

            *   UDFArrayConcat.class (0.00 MB)

            *   UDFArrayCountOverlap.class (0.00 MB)

            *   UDFArrayExclude.class (0.00 MB)

            *   UDFArrayIntersect.class (0.00 MB)

            *   UDFArrayJoin.class (0.00 MB)

            *   UDFArraySlice.class (0.00 MB)

            *   UDFArraySort.class (0.00 MB)

            *   UDFArrayUnion.class (0.00 MB)

            *   UDFBucket.class (0.00 MB)

            *   UDFCast.class (0.00 MB)

            *   UDFChoose.class (0.00 MB)

            *   UDFCumprod.class (0.00 MB)

            *   UDFCumsum.class (0.00 MB)

            *   UDFDayOfWeek.class (0.00 MB)

            *   UDFDstOffset.class (0.00 MB)

            *   UDFEndsWith.class (0.00 MB)

            *   UDFFill.class (0.00 MB)

            *   UDFFindInArray.class (0.00 MB)

            *   UDFFindInString.class (0.00 MB)

            *   UDFFindSequenceInArray.class (0.00 MB)

            *   UDFGreatCircleDist.class (0.00 MB)

            *   UDFHex2Dec.class (0.00 MB)

            *   UDFIsFinite.class (0.00 MB)

            *   UDFJaccard.class (0.00 MB)

            *   UDFJsonAsArray.class (0.00 MB)

            *   UDFJsonAsMap.class (0.00 MB)

            *   UDFKmeans.class (0.00 MB)

            *   UDFLDA.class (0.00 MB)

            *   UDFLevenshtein.class (0.00 MB)

            *   UDFLogisticRegression.class (0.00 MB)

            *   UDFLongest.class (0.00 MB)

            *   UDFLtrim.class (0.00 MB)

            *   UDFMD5.class (0.00 MB)

            *   UDFMakeJSONArray.class (0.00 MB)

            *   UDFMakeJSONObj.class (0.00 MB)

            *   UDFMapEntropy.class (0.00 MB)

            *   UDFMapExclude.class (0.00 MB)

            *   UDFNormalizeUnicode.class (0.00 MB)

            *   UDFNumberRows.class (0.00 MB)

            *   UDFPmax.class (0.00 MB)

            *   UDFPmin.class (0.00 MB)

            *   UDFPpois.class (0.00 MB)

            *   UDFPrev.class (0.00 MB)

            *   UDFPsum.class (0.00 MB)

            *   UDFRegexpExtractAll.class (0.00 MB)

            *   UDFRtrim.class (0.00 MB)

            *   UDFSample.class (0.00 MB)

            *   UDFStartsWith.class (0.00 MB)

            *   UDFTitleCase.class (0.00 MB)

            *   UDFTrim.class (0.00 MB)

            *   UDFUnescape.class (0.00 MB)

            *   UDFUrlQuote.class (0.00 MB)

            *   UDFWhich.class (0.00 MB)

            *   Wilson.class (0.00 MB)

          *   udtf/

            *   UDTFExplodeIndex.class (0.00 MB)

            *   UDTFExplodeMap.class (0.00 MB)

            *   UDTFRepeatRows.class (0.00 MB)

        *   generated-sources/

          *   annotations

        *   hiveudf-1.0-SNAPSHOT-jar-with-dependencies.jar (122.37 MB)

        *   hiveudf-1.0-SNAPSHOT.jar (0.12 MB)

        *   maven-archiver/

          *   pom.properties (0.00 MB)

        *   maven-status/

          *   maven-compiler-plugin/

            *   compile/

              *   default-compile/

                *   createdFiles.lst (0.00 MB)

                *   inputFiles.lst (0.00 MB)

            *   testCompile/

              *   default-testCompile/

                *   inputFiles.lst

        *   test-classes

  *   git.txt (0.00 MB)

  *   ppt/

    *   hive优化.pptx (1.58 MB)

    *   hive大数据利器.pptx (1.98 MB)

  *   作业

  *   绘图笔记/

    *   作业开端.drawio (0.11 MB)

    *   全天笔记.drawio (0.41 MB)

  *   视频/

    *   01hive作业布置+简介.mp4 (866.04 MB), 01:08:31

    *   02常用hive函数.mp4 (863.16 MB), 01:11:10

    *   03hive的json处理.mp4 (979.06 MB), 01:17:45

    *   04hive的分区表、内部表外部表.mp4 (941.66 MB), 01:04:29

*   【05day】hive下作业+优化/

  *   code/

    *   hiveudf/

      *   .idea/

        *   compiler.xml (0.00 MB)

        *   misc.xml (0.00 MB)

        *   uiDesigner.xml (0.01 MB)

        *   workspace.xml (0.05 MB)

      *   hiveudf.iml (0.00 MB)

      *   pom.xml (0.01 MB)

      *   src/

        *   main/

          *   java/

            *   hbase_server/

              *   GetData.java (0.00 MB)

              *   HbaseUtil.java (0.00 MB)

            *   lib/

              *   Counter.java (0.00 MB)

              *   SetOps.java (0.00 MB)

            *   predict/

              *   PmmlPredict.java (0.00 MB)

              *   TfPredict.java (0.00 MB)

              *   pom.xml (0.01 MB)

              *   rf.pb (0.01 MB)

              *   tree_version_test.pmml (0.00 MB)

            *   udaf/

              *   GenericUDAFAverage.java (0.01 MB)

              *   MaxiNumber.java (0.00 MB)

              *   TotalNumOfLettersGenericUDAF.java (0.01 MB)

              *   UDAFAll.java (0.00 MB)

              *   UDAFAny.java (0.00 MB)

              *   UDAFChooseOne.java (0.00 MB)

              *   UDAFCollect.java (0.00 MB)

              *   UDAFCollectMap.java (0.00 MB)

              *   UDAFCollectWhere.java (0.00 MB)

              *   UDAFCountWhere.java (0.00 MB)

              *   UDAFEntropy.java (0.00 MB)

              *   UDAFGroupLongest.java (0.00 MB)

              *   UDAFHistogram.java (0.00 MB)

              *   UDAFSumWhere.java (0.00 MB)

              *   UDAFTop.java (0.00 MB)

              *   UDAFTopN.java (0.00 MB)

              *   UDAFUnionMap.java (0.00 MB)

              *   UDAFUnionSet.java (0.00 MB)

              *   UDAFWeightedAvg.java (0.00 MB)

              *   UDAFWeightedPercentile.java (0.01 MB)

            *   udf/

              *   HelloUdf.java (0.00 MB)

              *   UDFArgMax.java (0.00 MB)

              *   UDFArgMin.java (0.00 MB)

              *   UDFArrayAggregate.java (0.00 MB)

              *   UDFArrayConcat.java (0.00 MB)

              *   UDFArrayCountOverlap.java (0.00 MB)

              *   UDFArrayExclude.java (0.00 MB)

              *   UDFArrayIntersect.java (0.00 MB)

              *   UDFArrayJoin.java (0.00 MB)

              *   UDFArraySlice.java (0.00 MB)

              *   UDFArraySort.java (0.00 MB)

              *   UDFArrayUnion.java (0.00 MB)

              *   UDFBucket.java (0.00 MB)

              *   UDFCast.java (0.00 MB)

              *   UDFChoose.java (0.00 MB)

              *   UDFCumprod.java (0.00 MB)

              *   UDFCumsum.java (0.00 MB)

              *   UDFDayOfWeek.java (0.00 MB)

              *   UDFDstOffset.java (0.00 MB)

              *   UDFEndsWith.java (0.00 MB)

              *   UDFFill.java (0.00 MB)

              *   UDFFindInArray.java (0.00 MB)

              *   UDFFindInString.java (0.00 MB)

              *   UDFFindSequenceInArray.java (0.00 MB)

              *   UDFGreatCircleDist.java (0.00 MB)

              *   UDFHex2Dec.java (0.00 MB)

              *   UDFIsFinite.java (0.00 MB)

              *   UDFJaccard.java (0.00 MB)

              *   UDFJsonAsArray.java (0.00 MB)

              *   UDFJsonAsMap.java (0.00 MB)

              *   UDFKmeans.java (0.01 MB)

              *   UDFLDA.java (0.00 MB)

              *   UDFLevenshtein.java (0.00 MB)

              *   UDFLogisticRegression.java (0.00 MB)

              *   UDFLongest.java (0.00 MB)

              *   UDFLtrim.java (0.00 MB)

              *   UDFMD5.java (0.00 MB)

              *   UDFMakeJSONArray.java (0.00 MB)

              *   UDFMakeJSONObj.java (0.00 MB)

              *   UDFMapEntropy.java (0.00 MB)

              *   UDFMapExclude.java (0.00 MB)

              *   UDFNormalizeUnicode.java (0.00 MB)

              *   UDFNumberRows.java (0.00 MB)

              *   UDFPmax.java (0.00 MB)

              *   UDFPmin.java (0.00 MB)

              *   UDFPpois.java (0.00 MB)

              *   UDFPrev.java (0.00 MB)

              *   UDFPsum.java (0.00 MB)

              *   UDFRegexpExtractAll.java (0.00 MB)

              *   UDFRtrim.java (0.00 MB)

              *   UDFSample.java (0.00 MB)

              *   UDFStartsWith.java (0.00 MB)

              *   UDFTitleCase.java (0.00 MB)

              *   UDFTrim.java (0.00 MB)

              *   UDFUnescape.java (0.00 MB)

              *   UDFUrlQuote.java (0.00 MB)

              *   UDFWhich.java (0.00 MB)

              *   Wilson.java (0.00 MB)

              *   helloudtf.java (0.00 MB)

            *   udtf/

              *   UDTFExplodeIndex.java (0.00 MB)

              *   UDTFExplodeMap.java (0.00 MB)

              *   UDTFRepeatRows.java (0.00 MB)

          *   resources

        *   test/

          *   java

      *   target/

        *   archive-tmp

        *   classes/

          *   hbase_server/

            *   GetData.class (0.00 MB)

            *   HbaseUtil.class (0.01 MB)

          *   lib/

            *   Counter.class (0.00 MB)

            *   SetOps$SetPair.class (0.00 MB)

            *   SetOps.class (0.00 MB)

          *   predict/

            *   PmmlPredict.class (0.01 MB)

            *   TfPredict.class (0.00 MB)

          *   udaf/

            *   GenericUDAFAverage$1.class (0.00 MB)

            *   GenericUDAFAverage$GenericUDAFAverageEvaluator$AverageAgg.class (0.00 MB)

            *   GenericUDAFAverage$GenericUDAFAverageEvaluator.class (0.01 MB)

            *   GenericUDAFAverage.class (0.00 MB)

            *   MaxiNumber$MaxiNumberIntUDAFEvaluator.class (0.00 MB)

            *   MaxiNumber.class (0.00 MB)

            *   TotalNumOfLettersGenericUDAF$TotalNumOfLettersEvaluator$LetterSumAgg.class (0.00 MB)

            *   TotalNumOfLettersGenericUDAF$TotalNumOfLettersEvaluator.class (0.00 MB)

            *   TotalNumOfLettersGenericUDAF.class (0.00 MB)

            *   UDAFAll$UDAFAllEvaluator.class (0.00 MB)

            *   UDAFAll.class (0.00 MB)

            *   UDAFAny$UDAFAnyEvaluator.class (0.00 MB)

            *   UDAFAny.class (0.00 MB)

            *   UDAFChooseOne$Evaluator$State.class (0.00 MB)

            *   UDAFChooseOne$Evaluator.class (0.00 MB)

            *   UDAFChooseOne.class (0.00 MB)

            *   UDAFCollect$GenericUDAFCollectEvaluator$UDAFCollectState.class (0.00 MB)

            *   UDAFCollect$GenericUDAFCollectEvaluator.class (0.00 MB)

            *   UDAFCollect.class (0.00 MB)

            *   UDAFCollectMap$UDAFCollectMapEvaluator.class (0.00 MB)

            *   UDAFCollectMap$UDAFCollectMapState.class (0.00 MB)

            *   UDAFCollectMap.class (0.00 MB)

            *   UDAFCollectWhere$Evaluator.class (0.00 MB)

            *   UDAFCollectWhere$State.class (0.00 MB)

            *   UDAFCollectWhere.class (0.00 MB)

            *   UDAFCountWhere$UDAFCountWhereEvaluator.class (0.00 MB)

            *   UDAFCountWhere.class (0.00 MB)

            *   UDAFEntropy$UDAFEntropyEvaluator.class (0.00 MB)

            *   UDAFEntropy$UDAFEntropyState.class (0.00 MB)

            *   UDAFEntropy.class (0.00 MB)

            *   UDAFGroupLongest$UDAFLongestEvaluator.class (0.00 MB)

            *   UDAFGroupLongest$UDAFLongestState.class (0.00 MB)

            *   UDAFGroupLongest.class (0.00 MB)

            *   UDAFHistogram$UDAFHistogramEvaluator.class (0.00 MB)

            *   UDAFHistogram$UDAFHistogramState.class (0.00 MB)

            *   UDAFHistogram.class (0.00 MB)

            *   UDAFSumWhere$UDAFCountWhereEvaluator.class (0.00 MB)

            *   UDAFSumWhere.class (0.00 MB)

            *   UDAFTop$UDAFTopEvaluator.class (0.00 MB)

            *   UDAFTop$UDAFTopState.class (0.00 MB)

            *   UDAFTop.class (0.00 MB)

            *   UDAFTopN$StringDoublePair.class (0.00 MB)

            *   UDAFTopN$UDAFTopNEvaluator.class (0.00 MB)

            *   UDAFTopN$UDAFTopNState.class (0.00 MB)

            *   UDAFTopN.class (0.00 MB)

            *   UDAFUnionMap$Evaluator.class (0.00 MB)

            *   UDAFUnionMap$State.class (0.00 MB)

            *   UDAFUnionMap.class (0.00 MB)

            *   UDAFUnionSet$Evaluator.class (0.00 MB)

            *   UDAFUnionSet$State.class (0.00 MB)

            *   UDAFUnionSet.class (0.00 MB)

            *   UDAFWeightedAvg$UDAFWeightedAvgEvaluator$State.class (0.00 MB)

            *   UDAFWeightedAvg$UDAFWeightedAvgEvaluator.class (0.00 MB)

            *   UDAFWeightedAvg.class (0.00 MB)

            *   UDAFWeightedPercentile$MyComparator.class (0.00 MB)

            *   UDAFWeightedPercentile$PercentileLongArrayEvaluator.class (0.00 MB)

            *   UDAFWeightedPercentile$State.class (0.00 MB)

            *   UDAFWeightedPercentile.class (0.00 MB)

          *   udf/

            *   HelloUdf.class (0.00 MB)

            *   UDFArgMax.class (0.00 MB)

            *   UDFArgMin.class (0.00 MB)

            *   UDFArrayAggregate.class (0.01 MB)

            *   UDFArrayConcat.class (0.00 MB)

            *   UDFArrayCountOverlap.class (0.00 MB)

            *   UDFArrayExclude.class (0.00 MB)

            *   UDFArrayIntersect.class (0.00 MB)

            *   UDFArrayJoin.class (0.00 MB)

            *   UDFArraySlice.class (0.00 MB)

            *   UDFArraySort.class (0.00 MB)

            *   UDFArrayUnion.class (0.00 MB)

            *   UDFBucket.class (0.00 MB)

            *   UDFCast.class (0.00 MB)

            *   UDFChoose.class (0.00 MB)

            *   UDFCumprod.class (0.00 MB)

            *   UDFCumsum.class (0.00 MB)

            *   UDFDayOfWeek.class (0.00 MB)

            *   UDFDstOffset.class (0.00 MB)

            *   UDFEndsWith.class (0.00 MB)

            *   UDFFill.class (0.00 MB)

            *   UDFFindInArray.class (0.00 MB)

            *   UDFFindInString.class (0.00 MB)

            *   UDFFindSequenceInArray.class (0.00 MB)

            *   UDFGreatCircleDist.class (0.00 MB)

            *   UDFHex2Dec.class (0.00 MB)

            *   UDFIsFinite.class (0.00 MB)

            *   UDFJaccard.class (0.00 MB)

            *   UDFJsonAsArray.class (0.00 MB)

            *   UDFJsonAsMap.class (0.00 MB)

            *   UDFKmeans.class (0.00 MB)

            *   UDFLDA.class (0.00 MB)

            *   UDFLevenshtein.class (0.00 MB)

            *   UDFLogisticRegression.class (0.00 MB)

            *   UDFLongest.class (0.00 MB)

            *   UDFLtrim.class (0.00 MB)

            *   UDFMD5.class (0.00 MB)

            *   UDFMakeJSONArray.class (0.00 MB)

            *   UDFMakeJSONObj.class (0.00 MB)

            *   UDFMapEntropy.class (0.00 MB)

            *   UDFMapExclude.class (0.00 MB)

            *   UDFNormalizeUnicode.class (0.00 MB)

            *   UDFNumberRows.class (0.00 MB)

            *   UDFPmax.class (0.00 MB)

            *   UDFPmin.class (0.00 MB)

            *   UDFPpois.class (0.00 MB)

            *   UDFPrev.class (0.00 MB)

            *   UDFPsum.class (0.00 MB)

            *   UDFRegexpExtractAll.class (0.00 MB)

            *   UDFRtrim.class (0.00 MB)

            *   UDFSample.class (0.00 MB)

            *   UDFStartsWith.class (0.00 MB)

            *   UDFTitleCase.class (0.00 MB)

            *   UDFTrim.class (0.00 MB)

            *   UDFUnescape.class (0.00 MB)

            *   UDFUrlQuote.class (0.00 MB)

            *   UDFWhich.class (0.00 MB)

            *   Wilson.class (0.00 MB)

            *   helloudtf.class (0.00 MB)

          *   udtf/

            *   UDTFExplodeIndex.class (0.00 MB)

            *   UDTFExplodeMap.class (0.00 MB)

            *   UDTFRepeatRows.class (0.00 MB)

        *   generated-sources/

          *   annotations

        *   hiveudf-1.0-SNAPSHOT-jar-with-dependencies.jar (147.05 MB)

        *   hiveudf-1.0-SNAPSHOT.jar (0.12 MB)

        *   maven-archiver/

          *   pom.properties (0.00 MB)

        *   maven-status/

          *   maven-compiler-plugin/

            *   compile/

              *   default-compile/

                *   createdFiles.lst (0.00 MB)

                *   inputFiles.lst (0.00 MB)

            *   testCompile/

              *   default-testCompile/

                *   inputFiles.lst

        *   test-classes

  *   ppt/

    *   hive优化.pptx (1.58 MB)

    *   hive大数据利器.pptx (1.98 MB)

  *   作业/

    *   hadoop作业讲解.drawio (0.00 MB)

    *   hive作业讲解.txt (0.00 MB)

    *   上次作业.txt (0.00 MB)

    *   作业开端.drawio (0.11 MB)

    *   本次作业.txt (0.00 MB)

  *   笔记/

    *   hive优化笔记.drawio (6.46 MB)

  *   视频/

    *   hive01作业讲解.mp4 (693.61 MB), 01:17:42

    *   hive02优化案例.mp4 (745.90 MB), 01:09:47

    *   hive03数据倾斜.mp4 (914.92 MB), 01:24:20

    *   hive04解决数据倾斜的方法+udf.mp4 (671.13 MB), 01:03:09

*   【06day】推荐系统架构+spark开端/

  *   ppt/

    *   01scala教程.pptx (1.53 MB)

    *   01推荐系统.pdf (1.45 MB)

    *   02推荐系统架构.pdf (0.80 MB)

    *   03spark.pptx (6.16 MB)

    *   03yarn.pptx (3.37 MB)

    *   04推荐算法_协同过滤_kmenas聚类.pdf (2.60 MB)

  *   recommand/

    *   .idea/

      *   compiler.xml (0.00 MB)

      *   encodings.xml (0.00 MB)

      *   hydra.xml (0.00 MB)

      *   misc.xml (0.00 MB)

      *   scala_compiler.xml (0.00 MB)

      *   uiDesigner.xml (0.01 MB)

      *   workspace.xml (0.06 MB)

    *   ReadMe.txt (0.00 MB)

    *   pom.xml (0.01 MB)

    *   spark-warehouse

    *   src/

      *   main/

        *   resources/

          *   core-site.xml (0.00 MB)

          *   hdfs-site.xml (0.00 MB)

          *   hive-site.xml (0.00 MB)

          *   log4j2.properties (0.00 MB)

        *   scala/

          *   com/

            *   badou/

              *   eges/

                *   .idea/

                  *   compiler.xml (0.00 MB)

                  *   hydra.xml (0.00 MB)

                  *   libraries/

                    *   scala_sdk_2_11_8.xml (0.00 MB)

                  *   misc.xml (0.00 MB)

                  *   scala_compiler.xml (0.00 MB)

                  *   uiDesigner.xml (0.01 MB)

                  *   workspace.xml (0.04 MB)

                *   pom.xml (0.01 MB)

                *   src/

                  *   main/

                    *   scala/

                      *   eges/

                        *   embedding/

                          *   WeightedSkipGram.scala (0.02 MB)

                          *   WeightedSkipGramBatch.scala (0.02 MB)

                        *   random/

                          *   sample/

                            *   Alias.scala (0.00 MB)

                          *   walk/

                            *   Attributes.scala (0.00 MB)

                            *   RandomWalk.scala (0.01 MB)

                      *   example/

                        *   graph.scala (0.01 MB)

                        *   merge_g.scala (0.00 MB)

                      *   main/

                        *   Main1.scala (0.00 MB)

                        *   Main2.scala (0.00 MB)

                        *   Main3.scala (0.00 MB)

                      *   sparkapplication/

                        *   BaseSparkLocal.scala (0.00 MB)

                        *   BaseSparkOnline.scala (0.00 MB)

              *   hbase/

                *   SparkHbase.scala (0.00 MB)

                *   hbase_server/

                  *   GetData.java (0.00 MB)

                  *   HbaseUtil.java (0.00 MB)

              *   hbase_server/

                *   GetData.java (0.00 MB)

                *   HbaseUtil.java (0.00 MB)

              *   proj/

                *   data/

                  *   DBDataLoader.scala (0.00 MB)

                  *   DataLoader.scala (0.00 MB)

                  *   FileDataLoader.scala (0.00 MB)

                  *   Perprocessing.scala (0.00 MB)

                *   engine/

                  *   CFItemEngine.scala (0.00 MB)

                  *   CFUserEngine.scala (0.00 MB)

                  *   training/

                    *   ItemCF.scala (0.03 MB)

                    *   ItemCFTraining.scala (0.00 MB)

                    *   UserCF.scala (0.00 MB)

                    *   UserCFTraining.scala (0.00 MB)

                *   init/

                  *   start.scala (0.00 MB)

                *   model/

                  *   training/

                    *   FeatConfig.scala (0.00 MB)

                    *   FeatureData.scala (0.01 MB)

                    *   LRModel.scala (0.00 MB)

                    *   TrainingModel.scala (0.00 MB)

                *   rank/

                  *   RankItems.scala (0.00 MB)

                *   recall/

                  *   RecallItem.scala (0.00 MB)

                *   util/

                  *   SparkSessionUtil.scala (0.00 MB)

                  *   Util.scala (0.00 MB)

              *   recommand_recall/

                *   graphX

                *   item_profile/

                  *   LR.scala (0.00 MB)

                  *   Word2Vec.scala (0.00 MB)

                  *   jiebaCut.scala (0.00 MB)

                  *   tf_idfDemp.scala (0.00 MB)

                *   order/

                  *   Feat.scala (0.00 MB)

                  *   jieBa.scala (0.00 MB)

                *   recall_path/

                  *   RecallALS.scala (0.01 MB)

                  *   RecallUserCf.scala (0.01 MB)

                  *   RecallUserCfType1.scala (0.01 MB)

                  *   Utils.java (0.00 MB)

                  *   item2Vec.scala (0.00 MB)

                  *   recallItemCF.scala (0.01 MB)

                *   sparkCore/

                  *   Action.scala (0.00 MB)

                  *   TransFormer.scala (0.01 MB)

                  *   repartitionAndSort/

                    *   User.scala (0.00 MB)

                  *   test/

                    *   demo.scala (0.00 MB)

                *   sparkSQL/

                  *   DataFrameDemo.scala (0.00 MB)

                  *   SparkSqlDemo.scala (0.00 MB)

                  *   hiveHomeWork/

                    *   Feat.scala (0.00 MB)

                    *   jieBa.scala (0.00 MB)

                  *   udf/

                    *   AggregatorUdf.scala (0.00 MB)

                    *   AvgScore.scala (0.00 MB)

                    *   Udf.scala (0.00 MB)

                    *   UdfMain.scala (0.00 MB)

                    *   User.scala (0.00 MB)

      *   test/

        *   resources

        *   scala/

          *   com/

            *   badou

  *   作业/

    *   上次作业讲解.txt (0.01 MB)

    *   作业讲解.drawio (0.00 MB)

    *   本次作业.txt (0.00 MB)

  *   笔记/

    *   spark (0.29 MB)

    *   业务背景.drawio (3.05 MB)

  *   视频/

    *   01.作业讲解.mp4 (581.45 MB), 50:39

    *   02,推荐系统上.mp4 (1.41 GB), 01:37:11

    *   03推荐系统下.mp4 (1.07 GB), 01:18:06

    *   04spark开端.mp4 (900.66 MB), 01:09:59

*   【07day】推荐系统基于用户、物品的召回/

  *   code/

    *   kmeans.scala (0.00 MB)

    *   run_feat.sh (0.00 MB)

  *   ppt/

    *   01scala教程.pptx (1.53 MB)

    *   02spark.pptx (6.16 MB)

    *   spark优化.doc (0.45 MB)

    *   yarn.pptx (3.37 MB)

    *   召回&粗排.pdf (1.53 MB)

  *   作业/

    *   06作业.txt (0.00 MB)

    *   本次作业.txt (0.00 MB)

  *   绘图/

    *   spark+scala.drawio (0.16 MB)

    *   yarn.drawio (0.00 MB)

    *   下午绘图笔记.drawio (0.03 MB)

  *   视频/

    *   01作业讲解+yarn.mp4 (1.19 GB), 01:18:39

    *   02spark宽窄依赖.mp4 (927.33 MB), 01:20:57

    *   03spark算子讲解.mp4 (970.53 MB), 01:32:59

    *   04spark分区算子讲解+召回部分.mp4 (412.86 MB), 43:06

*   【08day】推荐系统基于用户、物品的召回下/

  *   ppt/

    *   04推荐算法_协同过滤_kmenas聚类.pdf (2.60 MB)

  *   作业/

    *   sad.txt

    *   下午作业.txt (0.00 MB)

  *   绘图/

    *   spark实现基于用户的协同过滤案例.drawio (1.10 MB)

    *   spark实现基于用户的协同过滤案例下.drawio (1.84 MB)

  *   视频/

    *   01kmeans重讲+协同过滤.mp4 (929.26 MB), 01:22:59

    *   02spark实现用户协同过滤上.mp4 (661.72 MB), 53:13

    *   03复习基于用户的协同过滤.mp4 (1.20 GB), 01:21:24

    *   04如何进行过滤之df实例.mp4 (681.45 MB), 01:10:40

*   【09day】推荐系统基于模型的召回/

  *   code/

    *   all_path_for_recall/

      *   LR/

        *   LR1.py (0.00 MB)

        *   data/

          *   data.csv (9.48 MB)

      *   MF/

        *   BiasSvd.py (0.00 MB)

        *   __init__.py

        *   lfm.py (0.00 MB)

      *   NCF/

        *   Demo.py (0.00 MB)

        *   NCF.py (0.01 MB)

        *   NCF_input.py (0.00 MB)

        *   main.py (0.00 MB)

        *   metrics.py (0.00 MB)

        *   tf_data_demo.py (0.00 MB)

      *   data/

        *   cut_ua.base (0.34 MB)

        *   lr_demo.py (0.00 MB)

        *   ua.base (1.71 MB)

      *   i2i/

        *   data/

          *   cut_ua.base (1.36 MB)

          *   ua.base (1.71 MB)

        *   deepwalker/

          *   graph_data/

            *   user_graph.txt (0.71 MB)

        *   item2vector/

          *   sd.py

          *   tfidf+word2vector.ipynb (0.07 MB)

      *   iterm_profile/

        *   __pycache__/

          *   load_data.cpython-36.pyc (0.00 MB)

        *   data/

          *   movies.csv (0.47 MB)

          *   tags.csv (0.11 MB)

        *   load_data.py (0.00 MB)

        *   tf_idf.py (0.00 MB)

      *   u2i/

        *   __pycache__/

          *   preprocess.cpython-36.pyc (0.00 MB)

        *   fm_model/

          *   FM_model.py (0.00 MB)

          *   data/

            *   ua.base (1.71 MB)

            *   ua.test (0.18 MB)

        *   metrics/

          *   AUC.py (0.00 MB)

          *   AUC_test.py (0.00 MB)

          *   HR.py (0.00 MB)

          *   MAP.py (0.00 MB)

          *   MRR.py (0.00 MB)

          *   NDCG.py (0.00 MB)

          *   mertics.py (0.00 MB)

        *   movielens_sample.txt (0.02 MB)

        *   preprocess.py (0.00 MB)

        *   run_dssm_negsampling.py (0.00 MB)

        *   run_fm.py (0.00 MB)

        *   run_youtubednn.py (0.00 MB)

        *   softmax.py (0.00 MB)

        *   test.py

  *   作业/

    *   作业.txt (0.00 MB)

    *   第8期作业.txt (0.00 MB)

  *   绘图/

    *   03.召回指标.drawio (0.58 MB)

    *   04als讲解.drawio (0.22 MB)

    *   u2i之基于模型的的矩阵分析.drawio (0.54 MB)

  *   视频/

    *   01基于模型的召回.mp4 (839.85 MB), 01:08:24

    *   02机器学习基础知识.mp4 (759.65 MB), 01:16:21

    *   03召回评价指标.mp4 (323.25 MB), 41:56

    *   04召回中的基于als的协同过滤.mp4 (1.47 GB), 01:57:57

*   【10day】推荐系统之数据挖掘方法论/

  *   code代码/

    *   rank/

      *   DCN/

        *   DCN.py (0.01 MB)

        *   DataLoader.py (0.00 MB)

        *   config.py (0.00 MB)

        *   data/

          *   test.csv (0.35 MB)

          *   train.csv (1.80 MB)

        *   main.py (0.00 MB)

      *   DIN/

        *   Dice.py (0.00 MB)

        *   README.md (0.00 MB)

        *   __pycache__/

          *   Dice.cpython-36.pyc (0.00 MB)

          *   input.cpython-36.pyc (0.00 MB)

          *   model.cpython-36.pyc (0.01 MB)

        *   build_dataset.py (0.00 MB)

        *   convert_pd.py (0.00 MB)

        *   input.py (0.00 MB)

        *   model.py (0.01 MB)

        *   raw_data

        *   remap_id.py (0.00 MB)

        *   train.py (0.00 MB)

        *   utils/

          *   0_download_raw.sh (0.00 MB)

          *   1_convert_pd.py (0.00 MB)

          *   2_remap_id.py (0.00 MB)

          *   raw_data/

            *   cat_voc.pkl (0.04 MB)

            *   item-info (41.80 MB)

            *   local_test_splitByUser (33.71 MB)

            *   local_train_splitByUser (299.76 MB)

            *   mid_voc.pkl (10.67 MB)

            *   reviews-info (345.52 MB)

            *   uid_voc.pkl (17.78 MB)

      *   GBDT+LR/

        *   GBDT_LR.py (0.00 MB)

        *   model.txt (0.61 MB)

        *   save.txt (0.66 MB)

        *   train_data/

          *   test.csv (0.35 MB)

          *   train.csv (1.80 MB)

      *   Transformer/

        *   __pycache__/

          *   data_load.cpython-36.pyc (0.00 MB)

          *   hyperparams.cpython-36.pyc (0.00 MB)

          *   modules.cpython-36.pyc (0.01 MB)

          *   train.cpython-36.pyc (0.00 MB)

        *   data_load.py (0.00 MB)

        *   data_path (0.00 MB)

        *   eval.py (0.00 MB)

        *   hyperparams.py (0.00 MB)

        *   logdir/

          *   checkpoint (0.00 MB)

          *   events.out.tfevents.1564970221.AI-DEV (19.05 MB)

          *   events.out.tfevents.1564992537.AI-DEV (19.30 MB)

          *   events.out.tfevents.1608304362.DESKTOP-3RMSERG (18.79 MB)

          *   events.out.tfevents.1608432012.DESKTOP-3RMSERG (18.79 MB)

          *   events.out.tfevents.1610262907.DESKTOP-3RMSERG (14.06 MB)

          *   graph.pbtxt (18.56 MB)

          *   model_epoch_16_gs_34060.data-00000-of-00001 (611.37 MB)

          *   model_epoch_16_gs_34060.index (0.02 MB)

          *   model_epoch_16_gs_34060.meta (9.75 MB)

          *   model_epoch_17_gs_35763.data-00000-of-00001 (611.37 MB)

          *   model_epoch_17_gs_35763.index (0.02 MB)

          *   model_epoch_17_gs_35763.meta (9.75 MB)

          *   model_epoch_18_gs_37466.data-00000-of-00001 (611.37 MB)

          *   model_epoch_18_gs_37466.index (0.02 MB)

          *   model_epoch_18_gs_37466.meta (9.75 MB)

          *   model_epoch_19_gs_39169.data-00000-of-00001 (611.37 MB)

          *   model_epoch_19_gs_39169.index (0.02 MB)

          *   model_epoch_19_gs_39169.meta (9.75 MB)

          *   model_epoch_20_gs_40872.data-00000-of-00001 (611.37 MB)

          *   model_epoch_20_gs_40872.index (0.02 MB)

          *   model_epoch_20_gs_40872.meta (9.75 MB)

        *   modules.py (0.02 MB)

        *   results/

          *   model_epoch_20_gs_40872 (0.04 MB)

        *   test1.py (0.00 MB)

        *   train.py (0.01 MB)

        *   train_data/

          *   IWSLT16.TED.dev2010.de-en.de.xml (0.13 MB)

          *   IWSLT16.TED.dev2010.de-en.en.xml (0.11 MB)

          *   IWSLT16.TED.tst2010.de-en.de.xml (0.20 MB)

          *   IWSLT16.TED.tst2010.de-en.en.xml (0.18 MB)

          *   IWSLT16.TED.tst2011.de-en.de.xml (0.18 MB)

          *   IWSLT16.TED.tst2011.de-en.en.xml (0.16 MB)

          *   IWSLT16.TED.tst2012.de-en.de.xml (0.20 MB)

          *   IWSLT16.TED.tst2012.de-en.en.xml (0.18 MB)

          *   IWSLT16.TED.tst2013.de-en.de.xml (0.13 MB)

          *   IWSLT16.TED.tst2013.de-en.en.xml (0.12 MB)

          *   IWSLT16.TED.tst2014.de-en.de.xml (0.16 MB)

          *   IWSLT16.TED.tst2014.de-en.en.xml (0.15 MB)

          *   IWSLT16.TEDX.dev2012.de-en.de.xml (0.14 MB)

          *   IWSLT16.TEDX.dev2012.de-en.en.xml (0.13 MB)

          *   IWSLT16.TEDX.tst2013.de-en.de.xml (0.15 MB)

          *   IWSLT16.TEDX.tst2013.de-en.en.xml (0.14 MB)

          *   IWSLT16.TEDX.tst2014.de-en.de.xml (0.17 MB)

          *   IWSLT16.TEDX.tst2014.de-en.en.xml (0.16 MB)

          *   README (0.00 MB)

          *   de-en

          *   de.vocab.tsv (2.03 MB)

          *   en.vocab.tsv (0.90 MB)

          *   train.en (21.96 MB)

          *   train.tags.de-en.de (20.84 MB)

          *   train.tags.de-en.en (18.82 MB)

      *   __init__.py (0.00 MB)

      *   deepFM/

        *   .ipynb_checkpoints/

          *   DeepFM-StepByStep-checkpoint.ipynb (0.04 MB)

        *   DataReader.py (0.00 MB)

        *   DeepFM-StepByStep.ipynb (0.04 MB)

        *   DeepFM.py (0.02 MB)

        *   __pycache__/

          *   DataReader.cpython-36.pyc (0.00 MB)

          *   DeepFM.cpython-36.pyc (0.01 MB)

          *   config.cpython-36.pyc (0.00 MB)

          *   metrics.cpython-36.pyc (0.00 MB)

        *   config.py (0.00 MB)

        *   data/

          *   test.csv (0.35 MB)

          *   train.csv (1.80 MB)

        *   fig

        *   main.py (0.01 MB)

        *   metrics.py (0.00 MB)

        *   output/

          *   DNN_Mean0.14649_Std0.04774.csv (0.03 MB)

          *   DNN_Mean-0.31183_Std0.29369.csv (0.00 MB)

          *   DeepFM_Mean0.01434_Std0.10176.csv (0.00 MB)

          *   DeepFM_Mean0.05735_Std0.20027.csv (0.00 MB)

          *   DeepFM_Mean0.15298_Std0.07982.csv (0.03 MB)

          *   DeepFM_Mean0.26137_Std0.00210.csv

          *   DeepFM_Mean-0.11470_Std0.37335.csv (0.00 MB)

          *   FM_Mean0.21334_Std0.05244.csv (0.03 MB)

          *   FM_Mean0.23297_Std0.05576.csv (0.00 MB)

        *   test_dataprocess.py (0.00 MB)

        *   test_wide&deep.py (0.00 MB)

      *   demo.py (0.00 MB)

      *   mmoe.py (0.01 MB)

      *   project/

        *   __init__.py

        *   __pycache__/

          *   deepfm.cpython-36.pyc (0.00 MB)

          *   inputs.cpython-36.pyc (0.01 MB)

        *   data/

          *   app.csv (21.20 MB)

          *   test.csv (564.29 MB)

          *   train.csv (1.75 GB)

          *   user.csv (144.52 MB)

        *   deepfm.py (0.01 MB)

        *   inputs.py (0.01 MB)

        *   train_fm.py (0.01 MB)

      *   tree_demo/

        *   filename.txt (0.00 MB)

        *   gbdt.py (0.00 MB)

        *   train_modified.csv (2.35 MB)

        *   tree.py (0.00 MB)

        *   xgb.py (0.00 MB)

      *   wide&deep/

        *   wide&deep.py (0.00 MB)

  *   tf读取hdfs.txt (0.00 MB)

  *   作业/

    *   SgdLearningCore.java (0.01 MB)

    *   作业.txt (0.00 MB)

  *   绘图/

    *   全天绘图 (0.12 MB)

  *   视频/

    *   01召回融合上.mp4 (236.51 MB), 30:40

    *   02补录.mp4 (33.77 MB), 03:18

    *   03逻辑回归原理上.mp4 (490.49 MB), 58:47

    *   04逻辑回归原理下.mp4 (307.44 MB), 25:56

    *   05逻辑回归如何分布式.mp4 (973.53 MB), 01:18:22

    *   06数据方法论.mp4 (661.26 MB), 01:07:01

*   【11day】推荐系统之双塔召回服务/

  *   code/

    *   nlp/

      *   Transformer/

        *   __pycache__/

          *   data_load.cpython-36.pyc (0.00 MB)

          *   hyperparams.cpython-36.pyc (0.00 MB)

          *   modules.cpython-36.pyc (0.01 MB)

        *   data_load.py (0.00 MB)

        *   eval.py (0.00 MB)

        *   hyperparams.py (0.00 MB)

        *   logdir/

          *   checkpoint (0.00 MB)

          *   events.out.tfevents.1564970221.AI-DEV (19.05 MB)

          *   events.out.tfevents.1564992537.AI-DEV (19.30 MB)

          *   events.out.tfevents.1608304362.DESKTOP-3RMSERG (18.79 MB)

          *   events.out.tfevents.1608432012.DESKTOP-3RMSERG (18.79 MB)

          *   graph.pbtxt (27.60 MB)

          *   model_epoch_16_gs_34060.data-00000-of-00001 (611.37 MB)

          *   model_epoch_16_gs_34060.index (0.02 MB)

          *   model_epoch_16_gs_34060.meta (9.75 MB)

          *   model_epoch_17_gs_35763.data-00000-of-00001 (611.37 MB)

          *   model_epoch_17_gs_35763.index (0.02 MB)

          *   model_epoch_17_gs_35763.meta (9.75 MB)

          *   model_epoch_18_gs_37466.data-00000-of-00001 (611.37 MB)

          *   model_epoch_18_gs_37466.index (0.02 MB)

          *   model_epoch_18_gs_37466.meta (9.75 MB)

          *   model_epoch_19_gs_39169.data-00000-of-00001 (611.37 MB)

          *   model_epoch_19_gs_39169.index (0.02 MB)

          *   model_epoch_19_gs_39169.meta (9.75 MB)

          *   model_epoch_20_gs_40872.data-00000-of-00001 (611.37 MB)

          *   model_epoch_20_gs_40872.index (0.02 MB)

          *   model_epoch_20_gs_40872.meta (9.75 MB)

        *   modules.py (0.01 MB)

        *   results/

          *   model_epoch_20_gs_40872 (0.04 MB)

        *   train.py (0.01 MB)

        *   train_data/

          *   IWSLT16.TED.dev2010.de-en.de.xml (0.13 MB)

          *   IWSLT16.TED.dev2010.de-en.en.xml (0.11 MB)

          *   IWSLT16.TED.tst2010.de-en.de.xml (0.20 MB)

          *   IWSLT16.TED.tst2010.de-en.en.xml (0.18 MB)

          *   IWSLT16.TED.tst2011.de-en.de.xml (0.18 MB)

          *   IWSLT16.TED.tst2011.de-en.en.xml (0.16 MB)

          *   IWSLT16.TED.tst2012.de-en.de.xml (0.20 MB)

          *   IWSLT16.TED.tst2012.de-en.en.xml (0.18 MB)

          *   IWSLT16.TED.tst2013.de-en.de.xml (0.13 MB)

          *   IWSLT16.TED.tst2013.de-en.en.xml (0.12 MB)

          *   IWSLT16.TED.tst2014.de-en.de.xml (0.16 MB)

          *   IWSLT16.TED.tst2014.de-en.en.xml (0.15 MB)

          *   IWSLT16.TEDX.dev2012.de-en.de.xml (0.14 MB)

          *   IWSLT16.TEDX.dev2012.de-en.en.xml (0.13 MB)

          *   IWSLT16.TEDX.tst2013.de-en.de.xml (0.15 MB)

          *   IWSLT16.TEDX.tst2013.de-en.en.xml (0.14 MB)

          *   IWSLT16.TEDX.tst2014.de-en.de.xml (0.17 MB)

          *   IWSLT16.TEDX.tst2014.de-en.en.xml (0.16 MB)

          *   README (0.00 MB)

          *   de-en

          *   de.vocab.tsv (2.03 MB)

          *   en.vocab.tsv (0.90 MB)

          *   train.en (21.96 MB)

          *   train.tags.de-en.de (20.84 MB)

          *   train.tags.de-en.en (18.82 MB)

      *   class_code/

        *   __init__.py

        *   __pycache__/

          *   a_Data_preprocessing.cpython-36.pyc (0.00 MB)

          *   b_metrics.cpython-36.pyc (0.00 MB)

        *   a_Data_preprocessing.py (0.00 MB)

        *   a_word2vec_tfidf.py (0.00 MB)

        *   b_metrics.py (0.00 MB)

        *   demo.py (0.00 MB)

        *   test.py (0.00 MB)

      *   dkt_plus_attention/

        *   .idea/

          *   dkt_plus.iml (0.00 MB)

          *   modules.xml (0.00 MB)

          *   workspace.xml (0.02 MB)

        *   README.md (0.00 MB)

        *   Visualization.ipynb (0.57 MB)

        *   a2009/

          *   logs/

            *   n200.lo0.0.lw10.0.lw20.0/

              *   LSTM-200_1566735994.8646502.log (0.00 MB)

              *   LSTM-200_1566742404.3572085.log (0.00 MB)

            *   n200.lo1.0.lw12.0.lw22.0/

              *   LSTM-200_1552394740.7403498.log (0.00 MB)

        *   data/

          *   A2012_skill_id_test.csv (2.67 MB)

          *   A2012_skill_id_train.csv (10.26 MB)

          *   STATICS/

            *   Qmatrix.csv (0.23 MB)

            *   STATICS_qid_qname (0.05 MB)

            *   STATICS_qid_sid_sname (0.03 MB)

            *   STATICS_sid_sname (0.00 MB)

            *   STATICS_test.csv (0.34 MB)

            *   STATICS_train1.csv (0.62 MB)

            *   STATICS_train2.csv (0.59 MB)

            *   STATICS_train3.csv (0.59 MB)

            *   STATICS_train4.csv (0.59 MB)

            *   STATICS_train5.csv (0.59 MB)

            *   STATICS_train.csv (0.74 MB)

            *   STATICS_valid1.csv (0.12 MB)

            *   STATICS_valid2.csv (0.15 MB)

            *   STATICS_valid3.csv (0.16 MB)

            *   STATICS_valid4.csv (0.16 MB)

            *   STATICS_valid5.csv (0.15 MB)

            *   data_log (0.00 MB)

          *   assist2009_updated/

            *   assist2009_updated_qid_sid (0.00 MB)

            *   assist2009_updated_qname_qid (0.00 MB)

            *   assist2009_updated_skill_mapping.txt (0.00 MB)

            *   assist2009_updated_sname_sid (0.00 MB)

            *   assist2009_updated_test.csv (0.48 MB)

            *   assist2009_updated_train1.csv (0.83 MB)

            *   assist2009_updated_train2.csv (0.84 MB)

            *   assist2009_updated_train3.csv (0.89 MB)

            *   assist2009_updated_train4.csv (0.83 MB)

            *   assist2009_updated_train5.csv (0.83 MB)

            *   assist2009_updated_train.csv (1.05 MB)

            *   assist2009_updated_valid1.csv (0.22 MB)

            *   assist2009_updated_valid2.csv (0.22 MB)

            *   assist2009_updated_valid3.csv (0.16 MB)

            *   assist2009_updated_valid4.csv (0.22 MB)

            *   assist2009_updated_valid5.csv (0.22 MB)

            *   clustered_skill_name.txt (0.00 MB)

          *   assist2015/

            *   assist2015_qid_sid (0.00 MB)

            *   assist2015_qname_qid (0.00 MB)

            *   assist2015_sname_sid (0.00 MB)

            *   assist2015_test.csv (0.66 MB)

            *   assist2015_train1.csv (1.82 MB)

            *   assist2015_train2.csv (1.83 MB)

            *   assist2015_train3.csv (1.83 MB)

            *   assist2015_train4.csv (1.83 MB)

            *   assist2015_train5.csv (1.86 MB)

            *   assist2015_train.csv (2.65 MB)

            *   assist2015_valid1.csv (0.47 MB)

            *   assist2015_valid2.csv (0.46 MB)

            *   assist2015_valid3.csv (0.46 MB)

            *   assist2015_valid4.csv (0.47 MB)

            *   assist2015_valid5.csv (0.43 MB)

          *   assistment_challenge/

            *   assistment_challenge_test.csv (0.88 MB)

            *   assistment_challenge_train.csv (3.35 MB)

          *   assistment_challenge_test.csv (0.88 MB)

          *   assistment_challenge_train.csv (3.35 MB)

          *   skill_id_test.csv (0.31 MB)

          *   skill_id_train.csv (1.25 MB)

          *   synthetic/

            *   cluster_info_0 (0.00 MB)

            *   cluster_info_1 (0.00 MB)

            *   cluster_info_2 (0.00 MB)

            *   cluster_info_3 (0.00 MB)

            *   cluster_info_4 (0.00 MB)

            *   cluster_info_5 (0.00 MB)

            *   cluster_info_6 (0.00 MB)

            *   cluster_info_7 (0.00 MB)

            *   cluster_info_8 (0.00 MB)

            *   cluster_info_9 (0.00 MB)

            *   cluster_info_10 (0.00 MB)

            *   cluster_info_11 (0.00 MB)

            *   cluster_info_12 (0.00 MB)

            *   cluster_info_13 (0.00 MB)

            *   cluster_info_14 (0.00 MB)

            *   cluster_info_15 (0.00 MB)

            *   cluster_info_16 (0.00 MB)

            *   cluster_info_17 (0.00 MB)

            *   cluster_info_18 (0.00 MB)

            *   cluster_info_19 (0.00 MB)

            *   naive_c5_q50_s4000_v0_test.csv (0.47 MB)

            *   naive_c5_q50_s4000_v0_train1.csv (0.33 MB)

            *   naive_c5_q50_s4000_v0_train.csv (0.47 MB)

            *   naive_c5_q50_s4000_v0_valid1.csv (0.14 MB)

            *   naive_c5_q50_s4000_v1_test.csv (0.47 MB)

            *   naive_c5_q50_s4000_v1_train1.csv (0.33 MB)

            *   naive_c5_q50_s4000_v1_train.csv (0.47 MB)

            *   naive_c5_q50_s4000_v1_valid1.csv (0.14 MB)

            *   naive_c5_q50_s4000_v2_test.csv (0.47 MB)

            *   naive_c5_q50_s4000_v2_train1.csv (0.33 MB)

            *   naive_c5_q50_s4000_v2_train.csv (0.47 MB)

            *   naive_c5_q50_s4000_v2_valid1.csv (0.14 MB)

            *   naive_c5_q50_s4000_v3_test.csv (0.47 MB)

            *   naive_c5_q50_s4000_v3_train1.csv (0.33 MB)

            *   naive_c5_q50_s4000_v3_train.csv (0.47 MB)

            *   naive_c5_q50_s4000_v3_valid1.csv (0.14 MB)

            *   naive_c5_q50_s4000_v4_test.csv (0.47 MB)

            *   naive_c5_q50_s4000_v4_train1.csv (0.33 MB)

            *   naive_c5_q50_s4000_v4_train.csv (0.47 MB)

            *   naive_c5_q50_s4000_v4_valid1.csv (0.14 MB)

            *   naive_c5_q50_s4000_v5_test.csv (0.47 MB)

            *   naive_c5_q50_s4000_v5_train1.csv (0.33 MB)

            *   naive_c5_q50_s4000_v5_train.csv (0.47 MB)

            *   naive_c5_q50_s4000_v5_valid1.csv (0.14 MB)

            *   naive_c5_q50_s4000_v6_test.csv (0.47 MB)

            *   naive_c5_q50_s4000_v6_train1.csv (0.33 MB)

            *   naive_c5_q50_s4000_v6_train.csv (0.47 MB)

            *   naive_c5_q50_s4000_v6_valid1.csv (0.14 MB)

            *   naive_c5_q50_s4000_v7_test.csv (0.47 MB)

            *   naive_c5_q50_s4000_v7_train1.csv (0.33 MB)

            *   naive_c5_q50_s4000_v7_train.csv (0.47 MB)

            *   naive_c5_q50_s4000_v7_valid1.csv (0.14 MB)

            *   naive_c5_q50_s4000_v8_test.csv (0.47 MB)

            *   naive_c5_q50_s4000_v8_train1.csv (0.33 MB)

            *   naive_c5_q50_s4000_v8_train.csv (0.47 MB)

            *   naive_c5_q50_s4000_v8_valid1.csv (0.14 MB)

            *   naive_c5_q50_s4000_v9_test.csv (0.47 MB)

            *   naive_c5_q50_s4000_v9_train1.csv (0.33 MB)

            *   naive_c5_q50_s4000_v9_train.csv (0.47 MB)

            *   naive_c5_q50_s4000_v9_valid1.csv (0.14 MB)

            *   naive_c5_q50_s4000_v10_test.csv (0.47 MB)

            *   naive_c5_q50_s4000_v10_train1.csv (0.33 MB)

            *   naive_c5_q50_s4000_v10_train.csv (0.47 MB)

            *   naive_c5_q50_s4000_v10_valid1.csv (0.14 MB)

            *   naive_c5_q50_s4000_v11_test.csv (0.47 MB)

            *   naive_c5_q50_s4000_v11_train1.csv (0.33 MB)

            *   naive_c5_q50_s4000_v11_train.csv (0.47 MB)

            *   naive_c5_q50_s4000_v11_valid1.csv (0.14 MB)

            *   naive_c5_q50_s4000_v12_test.csv (0.47 MB)

            *   naive_c5_q50_s4000_v12_train1.csv (0.33 MB)

            *   naive_c5_q50_s4000_v12_train.csv (0.47 MB)

            *   naive_c5_q50_s4000_v12_valid1.csv (0.14 MB)

            *   naive_c5_q50_s4000_v13_test.csv (0.47 MB)

            *   naive_c5_q50_s4000_v13_train1.csv (0.33 MB)

            *   naive_c5_q50_s4000_v13_train.csv (0.47 MB)

            *   naive_c5_q50_s4000_v13_valid1.csv (0.14 MB)

            *   naive_c5_q50_s4000_v14_test.csv (0.47 MB)

            *   naive_c5_q50_s4000_v14_train1.csv (0.33 MB)

            *   naive_c5_q50_s4000_v14_train.csv (0.47 MB)

            *   naive_c5_q50_s4000_v14_valid1.csv (0.14 MB)

            *   naive_c5_q50_s4000_v15_test.csv (0.47 MB)

            *   naive_c5_q50_s4000_v15_train1.csv (0.33 MB)

            *   naive_c5_q50_s4000_v15_train.csv (0.47 MB)

            *   naive_c5_q50_s4000_v15_valid1.csv (0.14 MB)

            *   naive_c5_q50_s4000_v16_test.csv (0.47 MB)

            *   naive_c5_q50_s4000_v16_train1.csv (0.33 MB)

            *   naive_c5_q50_s4000_v16_train.csv (0.47 MB)

            *   naive_c5_q50_s4000_v16_valid1.csv (0.14 MB)

            *   naive_c5_q50_s4000_v17_test.csv (0.47 MB)

            *   naive_c5_q50_s4000_v17_train1.csv (0.33 MB)

            *   naive_c5_q50_s4000_v17_train.csv (0.47 MB)

            *   naive_c5_q50_s4000_v17_valid1.csv (0.14 MB)

            *   naive_c5_q50_s4000_v18_test.csv (0.47 MB)

            *   naive_c5_q50_s4000_v18_train1.csv (0.33 MB)

            *   naive_c5_q50_s4000_v18_train.csv (0.47 MB)

            *   naive_c5_q50_s4000_v18_valid1.csv (0.14 MB)

            *   naive_c5_q50_s4000_v19_test.csv (0.47 MB)

            *   naive_c5_q50_s4000_v19_train1.csv (0.33 MB)

            *   naive_c5_q50_s4000_v19_train.csv (0.47 MB)

            *   naive_c5_q50_s4000_v19_valid1.csv (0.14 MB)

          *   toy_data_test.csv (0.02 MB)

          *   toy_data_train.csv (0.02 MB)

        *   dkt+attention.doc (0.37 MB)

        *   load_data.py (0.01 MB)

        *   main.py (0.01 MB)

        *   model.py (0.01 MB)

        *   modules.py (0.01 MB)

        *   result

        *   search_hyperparameter.py (0.01 MB)

        *   utils.py (0.02 MB)

      *   lstm+gru/

        *   __init__.py

        *   lstm.py (0.00 MB)

        *   mutil+lstm.py (0.00 MB)

      *   news_class/

        *   __pycache__

        *   data_file/

          *   clear_data

          *   data/

            *   car.txt (5.00 MB)

            *   education.txt (6.15 MB)

            *   entertainment.txt (3.35 MB)

            *   fashion.txt (2.19 MB)

            *   finance.txt (7.99 MB)

            *   military.txt (6.35 MB)

            *   politics.txt (4.48 MB)

            *   science.txt (5.84 MB)

            *   sports.txt (4.71 MB)

          *   data2/

            *   id2label (0.00 MB)

            *   xy (67.54 MB)

            *   xy_id (11.72 MB)

            *   xy_vec (1.85 GB)

          *   stopwords.txt (0.01 MB)

        *   lr.py (0.00 MB)

        *   lr_class.py (0.01 MB)

        *   test.py (0.00 MB)

      *   word2vector/

        *   __init__.py

        *   bulid_graph.py (0.00 MB)

        *   data/

          *   stopwords.txt (0.01 MB)

          *   人民的名义.txt (0.76 MB)

          *   人民的名义_cut.txt (0.78 MB)

        *   demo.py (0.00 MB)

        *   embedding_look_up.py (0.00 MB)

        *   gensim_word2vector.py (0.00 MB)

        *   onehot.py (0.00 MB)

        *   tf_word2vector.py (0.01 MB)

    *   recall.zip (0.09 MB)

  *   作业/

    *   作业.txt (0.00 MB)

  *   绘图/

    *   dssm源码+服务.drawio (1.30 MB)

    *   dssm绘图.drawio (0.65 MB)

  *   视频/

    *   01回顾+神经网络.mp4 (660.52 MB), 01:04:42

    *   02dssm双塔.mp4 (1.70 GB), 01:18:13

    *   03embeddig简介+dssm源码.mp4 (720.06 MB), 01:05:25

    *   04dssm源码+实时召回服务.mp4 (876.93 MB), 01:16:22

*   【12day】推荐系统之i2i召回/

  *   作业/

    *   作业.txt (0.00 MB)

  *   绘图/

    *   1.召回之i2i上（nlp+word2vector）.drawio (0.11 MB)

    *   2_tf+item2vector+eges.drawio (1.79 MB)

  *   视频/

    *   01word2vetcor+nlp.mp4 (967.60 MB), 01:24:12

    *   02word2vector源码分析.mp4 (899.49 MB), 01:22:21

    *   03如何将w2v转化为item2vector.mp4 (865.44 MB), 01:13:46

    *   04借助sideInfoMation解决物品冷启动.mp4 (927.18 MB), 01:15:14

*   【13day】eges源码分析+排序lr+fm/

  *   code/

    *   recommand/

      *   .idea/

        *   compiler.xml (0.00 MB)

        *   encodings.xml (0.00 MB)

        *   hydra.xml (0.00 MB)

        *   misc.xml (0.00 MB)

        *   scala_compiler.xml (0.00 MB)

        *   uiDesigner.xml (0.01 MB)

        *   workspace.xml (0.05 MB)

      *   ReadMe.txt (0.00 MB)

      *   pom.xml (0.01 MB)

      *   spark-warehouse

      *   src/

        *   main/

          *   resources/

            *   core-site.xml (0.00 MB)

            *   hdfs-site.xml (0.00 MB)

            *   hive-site.xml (0.00 MB)

            *   log4j2.properties (0.00 MB)

          *   scala/

            *   com/

              *   badou/

                *   eges/

                  *   .idea/

                    *   compiler.xml (0.00 MB)

                    *   hydra.xml (0.00 MB)

                    *   libraries/

                      *   scala_sdk_2_11_8.xml (0.00 MB)

                    *   misc.xml (0.00 MB)

                    *   scala_compiler.xml (0.00 MB)

                    *   uiDesigner.xml (0.01 MB)

                    *   workspace.xml (0.04 MB)

                  *   pom.xml (0.01 MB)

                  *   src/

                    *   main/

                      *   scala/

                        *   eges/

                          *   embedding/

                            *   WeightedSkipGram.scala (0.02 MB)

                            *   WeightedSkipGramBatch.scala (0.02 MB)

                          *   random/

                            *   sample/

                              *   Alias.scala (0.00 MB)

                            *   walk/

                              *   Attributes.scala (0.00 MB)

                              *   RandomWalk.scala (0.01 MB)

                        *   example/

                          *   graph.scala (0.01 MB)

                          *   merge_g.scala (0.00 MB)

                        *   main/

                          *   Main1.scala (0.00 MB)

                          *   Main2.scala (0.00 MB)

                          *   Main3.scala (0.00 MB)

                        *   sparkapplication/

                          *   BaseSparkLocal.scala (0.00 MB)

                          *   BaseSparkOnline.scala (0.00 MB)

                *   hbase/

                  *   SparkHbase.scala (0.00 MB)

                  *   hbase_server/

                    *   GetData.java (0.00 MB)

                    *   HbaseUtil.java (0.00 MB)

                *   hbase_server/

                  *   GetData.java (0.00 MB)

                  *   HbaseUtil.java (0.00 MB)

                *   homework/

                  *   kmeans.scala (0.00 MB)

                *   proj/

                  *   data/

                    *   DBDataLoader.scala (0.00 MB)

                    *   DataLoader.scala (0.00 MB)

                    *   FileDataLoader.scala (0.00 MB)

                    *   Perprocessing.scala (0.00 MB)

                  *   engine/

                    *   CFItemEngine.scala (0.00 MB)

                    *   CFUserEngine.scala (0.00 MB)

                    *   training/

                      *   ItemCF.scala (0.03 MB)

                      *   ItemCFTraining.scala (0.00 MB)

                      *   UserCF.scala (0.00 MB)

                      *   UserCFTraining.scala (0.00 MB)

                  *   init/

                    *   start.scala (0.00 MB)

                  *   model/

                    *   training/

                      *   FeatConfig.scala (0.00 MB)

                      *   FeatureData.scala (0.01 MB)

                      *   LRModel.scala (0.00 MB)

                      *   TrainingModel.scala (0.00 MB)

                  *   rank/

                    *   RankItems.scala (0.00 MB)

                  *   recall/

                    *   RecallItem.scala (0.00 MB)

                  *   util/

                    *   SparkSessionUtil.scala (0.00 MB)

                    *   Util.scala (0.00 MB)

                *   recommand_recall/

                  *   graphX

                  *   item_profile/

                    *   LR.scala (0.00 MB)

                    *   Word2Vec.scala (0.00 MB)

                    *   jiebaCut.scala (0.00 MB)

                    *   tf_idfDemp.scala (0.00 MB)

                  *   order/

                    *   Feat.scala (0.00 MB)

                    *   jieBa.scala (0.00 MB)

                  *   recall_path/

                    *   RecallALS.scala (0.01 MB)

                    *   RecallUserCf.scala (0.01 MB)

                    *   RecallUserCfType1.scala (0.01 MB)

                    *   Utils.java (0.00 MB)

                    *   item2Vec.scala (0.00 MB)

                    *   recallItemCF.scala (0.01 MB)

                  *   sparkCore/

                    *   Action.scala (0.00 MB)

                    *   TransFormer.scala (0.01 MB)

                    *   repartitionAndSort/

                      *   User.scala (0.00 MB)

                    *   test/

                      *   demo.scala (0.00 MB)

                  *   sparkSQL/

                    *   DataFrameDemo.scala (0.00 MB)

                    *   SparkSqlDemo.scala (0.00 MB)

                    *   hiveHomeWork/

                      *   Feat.scala (0.00 MB)

                      *   jieBa.scala (0.00 MB)

                    *   udf/

                      *   AggregatorUdf.scala (0.00 MB)

                      *   AvgScore.scala (0.00 MB)

                      *   Udf.scala (0.00 MB)

                      *   UdfMain.scala (0.00 MB)

                      *   User.scala (0.00 MB)

        *   test/

          *   resources

          *   scala/

            *   com/

              *   badou

      *   target/

        *   archive-tmp

        *   classes/

          *   com/

            *   badou/

              *   eges/

                *   src/

                  *   main/

                    *   scala/

                      *   eges/

                        *   embedding/

                          *   WeightedSkipGram$$anonfun$6.class (0.00 MB)

                          *   WeightedSkipGram$$anonfun$7.class (0.00 MB)

                          *   WeightedSkipGram$$anonfun$8.class (0.00 MB)

                          *   WeightedSkipGram$$anonfun$9.class (0.00 MB)

                          *   WeightedSkipGram$$anonfun$10$$anonfun$apply$1.class (0.00 MB)

                          *   WeightedSkipGram$$anonfun$10.class (0.00 MB)

                          *   WeightedSkipGram$$anonfun$11.class (0.00 MB)

                          *   WeightedSkipGram$$anonfun$12.class (0.00 MB)

                          *   WeightedSkipGram$$anonfun$13$$anonfun$apply$2.class (0.00 MB)

                          *   WeightedSkipGram$$anonfun$13.class (0.00 MB)

                          *   WeightedSkipGram$$anonfun$14.class (0.00 MB)

                          *   WeightedSkipGram$$anonfun$15.class (0.00 MB)

                          *   WeightedSkipGram$$anonfun$16$$anonfun$apply$3.class (0.00 MB)

                          *   WeightedSkipGram$$anonfun$16.class (0.00 MB)

                          *   WeightedSkipGram$$anonfun$30.class (0.00 MB)

                          *   WeightedSkipGram$$anonfun$31$$anonfun$4.class (0.00 MB)

                          *   WeightedSkipGram$$anonfun$31$$anonfun$32$$anonfun$apply$4.class (0.00 MB)

                          *   WeightedSkipGram$$anonfun$31$$anonfun$32.class (0.00 MB)

                          *   WeightedSkipGram$$anonfun$31$$anonfun$apply$5$$anonfun$33$$anonfun$apply$6.class (0.00 MB)

                          *   WeightedSkipGram$$anonfun$31$$anonfun$apply$5$$anonfun$33.class (0.00 MB)

                          *   WeightedSkipGram$$anonfun$31$$anonfun$apply$5.class (0.00 MB)

                          *   WeightedSkipGram$$anonfun$31.class (0.00 MB)

                          *   WeightedSkipGram$$anonfun$34.class (0.00 MB)

                          *   WeightedSkipGram$$anonfun$36$$anonfun$apply$8.class (0.00 MB)

                          *   WeightedSkipGram$$anonfun$36.class (0.00 MB)

                          *   WeightedSkipGram$$anonfun$37$$anonfun$apply$9.class (0.00 MB)

                          *   WeightedSkipGram$$anonfun$37.class (0.00 MB)

                          *   WeightedSkipGram$$anonfun$38$$anonfun$apply$10.class (0.00 MB)

                          *   WeightedSkipGram$$anonfun$38.class (0.00 MB)

                          *   WeightedSkipGram$$anonfun$39$$anonfun$apply$11.class (0.00 MB)

                          *   WeightedSkipGram$$anonfun$39.class (0.00 MB)

                          *   WeightedSkipGram$$anonfun$embeddingUpdate$1$$anonfun$40$$anonfun$apply$12.class (0.00 MB)

                          *   WeightedSkipGram$$anonfun$embeddingUpdate$1$$anonfun$40.class (0.00 MB)

                          *   WeightedSkipGram$$anonfun$embeddingUpdate$1$$anonfun$41$$anonfun$apply$13.class (0.00 MB)

                          *   WeightedSkipGram$$anonfun$embeddingUpdate$1$$anonfun$41.class (0.00 MB)

                          *   WeightedSkipGram$$anonfun$embeddingUpdate$1.class (0.01 MB)

                          *   WeightedSkipGram$$anonfun$fit$1$$anonfun$1.class (0.00 MB)

                          *   WeightedSkipGram$$anonfun$fit$1$$anonfun$2.class (0.00 MB)

                          *   WeightedSkipGram$$anonfun$fit$1$$anonfun$3.class (0.00 MB)

                          *   WeightedSkipGram$$anonfun$fit$1$$anonfun$17.class (0.00 MB)

                          *   WeightedSkipGram$$anonfun$fit$1$$anonfun$18.class (0.00 MB)

                          *   WeightedSkipGram$$anonfun$fit$1$$anonfun$19.class (0.00 MB)

                          *   WeightedSkipGram$$anonfun$fit$1$$anonfun$20.class (0.00 MB)

                          *   WeightedSkipGram$$anonfun$fit$1$$anonfun$21.class (0.00 MB)

                          *   WeightedSkipGram$$anonfun$fit$1$$anonfun$22.class (0.00 MB)

                          *   WeightedSkipGram$$anonfun$fit$1$$anonfun$23.class (0.00 MB)

                          *   WeightedSkipGram$$anonfun$fit$1$$anonfun$24.class (0.00 MB)

                          *   WeightedSkipGram$$anonfun$fit$1$$anonfun$25.class (0.00 MB)

                          *   WeightedSkipGram$$anonfun$fit$1$$anonfun$26.class (0.00 MB)

                          *   WeightedSkipGram$$anonfun$fit$1$$anonfun$27.class (0.00 MB)

                          *   WeightedSkipGram$$anonfun$fit$1$$anonfun$28.class (0.00 MB)

                          *   WeightedSkipGram$$anonfun$fit$1$$anonfun$29.class (0.00 MB)

                          *   WeightedSkipGram$$anonfun$fit$1.class (0.01 MB)

                          *   WeightedSkipGram$$anonfun$initWeightedSkipGram$1.class (0.00 MB)

                          *   WeightedSkipGram$$anonfun$initWeightedSkipGram$2.class (0.00 MB)

                          *   WeightedSkipGram$$anonfun$initWeightedSkipGram$3.class (0.00 MB)

                          *   WeightedSkipGram$$anonfun$initWeightedSkipGram$4.class (0.00 MB)

                          *   WeightedSkipGram$$anonfun$initWeightedSkipGram$5.class (0.00 MB)

                          *   WeightedSkipGram$$anonfun$setIterationNum$1.class (0.00 MB)

                          *   WeightedSkipGram$$anonfun$setLearningRate$1.class (0.00 MB)

                          *   WeightedSkipGram$$anonfun$setNegativeSampleNum$1.class (0.00 MB)

                          *   WeightedSkipGram$$anonfun$setNumPartitions$1.class (0.00 MB)

                          *   WeightedSkipGram$$anonfun$setPerSampleMaxNum$1.class (0.00 MB)

                          *   WeightedSkipGram$$anonfun$setSampleTableNum$1.class (0.00 MB)

                          *   WeightedSkipGram$$anonfun$setSubSample$1.class (0.00 MB)

                          *   WeightedSkipGram$$anonfun$setVectorSize$1.class (0.00 MB)

                          *   WeightedSkipGram$$anonfun$setWindowSize$1.class (0.00 MB)

                          *   WeightedSkipGram$$anonfun$trainWeightedSkipGram$1$$anonfun$apply$7$$anonfun$5.class (0.00 MB)

                          *   WeightedSkipGram$$anonfun$trainWeightedSkipGram$1$$anonfun$apply$7$$anonfun$35.class (0.00 MB)

                          *   WeightedSkipGram$$anonfun$trainWeightedSkipGram$1$$anonfun$apply$7$$anonfun$apply$mcVI$sp$1.class (0.00 MB)

                          *   WeightedSkipGram$$anonfun$trainWeightedSkipGram$1$$anonfun$apply$7$$anonfun$apply$mcVI$sp$2$$anonfun$apply$mcVI$sp$3.class (0.01 MB)

                          *   WeightedSkipGram$$anonfun$trainWeightedSkipGram$1$$anonfun$apply$7$$anonfun$apply$mcVI$sp$2.class (0.01 MB)

                          *   WeightedSkipGram$$anonfun$trainWeightedSkipGram$1$$anonfun$apply$7.class (0.01 MB)

                          *   WeightedSkipGram$$anonfun$trainWeightedSkipGram$1$$anonfun$apply$14.class (0.00 MB)

                          *   WeightedSkipGram$$anonfun$trainWeightedSkipGram$1.class (0.00 MB)

                          *   WeightedSkipGram.class (0.03 MB)

                          *   WeightedSkipGramBatch$$anonfun$1.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$2.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$8.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$9.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$10.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$11.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$12$$anonfun$apply$1.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$12.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$13.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$14.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$15$$anonfun$apply$2.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$15.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$16.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$17.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$18$$anonfun$apply$3.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$18.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$34.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$35$$anonfun$6.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$35$$anonfun$36$$anonfun$apply$4.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$35$$anonfun$36.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$35$$anonfun$apply$5$$anonfun$37$$anonfun$apply$6.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$35$$anonfun$apply$5$$anonfun$37.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$35$$anonfun$apply$5.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$35.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$38.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$40$$anonfun$apply$8.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$40.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$41$$anonfun$apply$9.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$41.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$42$$anonfun$apply$10.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$42.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$43$$anonfun$apply$11.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$43.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$embeddingUpdate$1$$anonfun$44$$anonfun$apply$12.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$embeddingUpdate$1$$anonfun$44.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$embeddingUpdate$1$$anonfun$45$$anonfun$apply$13.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$embeddingUpdate$1$$anonfun$45.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$embeddingUpdate$1.class (0.01 MB)

                          *   WeightedSkipGramBatch$$anonfun$fit$1$$anonfun$apply$mcVI$sp$4$$anonfun$3.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$fit$1$$anonfun$apply$mcVI$sp$4$$anonfun$4.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$fit$1$$anonfun$apply$mcVI$sp$4$$anonfun$5.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$fit$1$$anonfun$apply$mcVI$sp$4$$anonfun$19.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$fit$1$$anonfun$apply$mcVI$sp$4$$anonfun$20.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$fit$1$$anonfun$apply$mcVI$sp$4$$anonfun$21.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$fit$1$$anonfun$apply$mcVI$sp$4$$anonfun$22.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$fit$1$$anonfun$apply$mcVI$sp$4$$anonfun$23.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$fit$1$$anonfun$apply$mcVI$sp$4$$anonfun$24.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$fit$1$$anonfun$apply$mcVI$sp$4$$anonfun$25.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$fit$1$$anonfun$apply$mcVI$sp$4$$anonfun$26.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$fit$1$$anonfun$apply$mcVI$sp$4$$anonfun$27.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$fit$1$$anonfun$apply$mcVI$sp$4$$anonfun$28.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$fit$1$$anonfun$apply$mcVI$sp$4$$anonfun$29.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$fit$1$$anonfun$apply$mcVI$sp$4$$anonfun$30.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$fit$1$$anonfun$apply$mcVI$sp$4$$anonfun$31.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$fit$1$$anonfun$apply$mcVI$sp$4$$anonfun$32.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$fit$1$$anonfun$apply$mcVI$sp$4$$anonfun$33.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$fit$1$$anonfun$apply$mcVI$sp$4.class (0.01 MB)

                          *   WeightedSkipGramBatch$$anonfun$fit$1.class (0.01 MB)

                          *   WeightedSkipGramBatch$$anonfun$fit$2.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$fit$3.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$initWeightedSkipGram$1.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$initWeightedSkipGram$2.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$initWeightedSkipGram$3.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$initWeightedSkipGram$4.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$initWeightedSkipGram$5.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$setBatchNum$1.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$setIterationNum$1.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$setLearningRate$1.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$setNegativeSampleNum$1.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$setNumPartitions$1.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$setPerSampleMaxNum$1.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$setSampleTableNum$1.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$setSubSample$1.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$setVectorSize$1.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$setWindowSize$1.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$trainWeightedSkipGram$1$$anonfun$apply$7$$anonfun$7.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$trainWeightedSkipGram$1$$anonfun$apply$7$$anonfun$39.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$trainWeightedSkipGram$1$$anonfun$apply$7$$anonfun$apply$mcVI$sp$1.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$trainWeightedSkipGram$1$$anonfun$apply$7$$anonfun$apply$mcVI$sp$2$$anonfun$apply$mcVI$sp$3.class (0.01 MB)

                          *   WeightedSkipGramBatch$$anonfun$trainWeightedSkipGram$1$$anonfun$apply$7$$anonfun$apply$mcVI$sp$2.class (0.01 MB)

                          *   WeightedSkipGramBatch$$anonfun$trainWeightedSkipGram$1$$anonfun$apply$7.class (0.01 MB)

                          *   WeightedSkipGramBatch$$anonfun$trainWeightedSkipGram$1$$anonfun$apply$14.class (0.00 MB)

                          *   WeightedSkipGramBatch$$anonfun$trainWeightedSkipGram$1.class (0.00 MB)

                          *   WeightedSkipGramBatch.class (0.03 MB)

                        *   random/

                          *   sample/

                            *   Alias$$anonfun$1.class (0.00 MB)

                            *   Alias$$anonfun$2.class (0.00 MB)

                            *   Alias$$anonfun$3.class (0.00 MB)

                            *   Alias$$anonfun$4$$anonfun$apply$1.class (0.00 MB)

                            *   Alias$$anonfun$4.class (0.00 MB)

                            *   Alias$$anonfun$setupAlias$1.class (0.00 MB)

                            *   Alias$.class (0.00 MB)

                            *   Alias.class (0.00 MB)

                          *   walk/

                            *   Attributes$.class (0.00 MB)

                            *   Attributes$EdgeAttr$.class (0.00 MB)

                            *   Attributes$EdgeAttr.class (0.00 MB)

                            *   Attributes$NodeAttr$.class (0.00 MB)

                            *   Attributes$NodeAttr.class (0.00 MB)

                            *   Attributes.class (0.00 MB)

                            *   RandomWalk$$anonfun$3.class (0.00 MB)

                            *   RandomWalk$$anonfun$4$ord$2$.class (0.00 MB)

                            *   RandomWalk$$anonfun$4.class (0.00 MB)

                            *   RandomWalk$$anonfun$5.class (0.00 MB)

                            *   RandomWalk$$anonfun$6.class (0.00 MB)

                            *   RandomWalk$$anonfun$7.class (0.00 MB)

                            *   RandomWalk$$anonfun$8.class (0.00 MB)

                            *   RandomWalk$$anonfun$9$$anonfun$apply$2.class (0.00 MB)

                            *   RandomWalk$$anonfun$9.class (0.00 MB)

                            *   RandomWalk$$anonfun$10.class (0.00 MB)

                            *   RandomWalk$$anonfun$13.class (0.00 MB)

                            *   RandomWalk$$anonfun$14.class (0.00 MB)

                            *   RandomWalk$$anonfun$15.class (0.00 MB)

                            *   RandomWalk$$anonfun$18.class (0.00 MB)

                            *   RandomWalk$$anonfun$19.class (0.00 MB)

                            *   RandomWalk$$anonfun$20.class (0.00 MB)

                            *   RandomWalk$$anonfun$21$$anonfun$22.class (0.00 MB)

                            *   RandomWalk$$anonfun$21.class (0.00 MB)

                            *   RandomWalk$$anonfun$fit$1.class (0.00 MB)

                            *   RandomWalk$$anonfun$fit$2.class (0.00 MB)

                            *   RandomWalk$$anonfun$fit$3$$anonfun$apply$1.class (0.00 MB)

                            *   RandomWalk$$anonfun$fit$3.class (0.00 MB)

                            *   RandomWalk$$anonfun$fit$4$$anonfun$11.class (0.00 MB)

                            *   RandomWalk$$anonfun$fit$4$$anonfun$12.class (0.00 MB)

                            *   RandomWalk$$anonfun$fit$4$$anonfun$apply$3.class (0.00 MB)

                            *   RandomWalk$$anonfun$fit$4.class (0.00 MB)

                            *   RandomWalk$$anonfun$fit$5$$anonfun$16$$anonfun$1.class (0.00 MB)

                            *   RandomWalk$$anonfun$fit$5$$anonfun$16$$anonfun$2.class (0.00 MB)

                            *   RandomWalk$$anonfun$fit$5$$anonfun$16.class (0.00 MB)

                            *   RandomWalk$$anonfun$fit$5$$anonfun$17.class (0.00 MB)

                            *   RandomWalk$$anonfun$fit$5$$anonfun$apply$4$$anonfun$apply$5.class (0.00 MB)

                            *   RandomWalk$$anonfun$fit$5$$anonfun$apply$4$$anonfun$apply$6.class (0.00 MB)

                            *   RandomWalk$$anonfun$fit$5$$anonfun$apply$4.class (0.00 MB)

                            *   RandomWalk$$anonfun$fit$5.class (0.00 MB)

                            *   RandomWalk$$anonfun$setInOutParameter$1.class (0.00 MB)

                            *   RandomWalk$$anonfun$setNodeIterationNum$1.class (0.00 MB)

                            *   RandomWalk$$anonfun$setNodeMaxDegree$1.class (0.00 MB)

                            *   RandomWalk$$anonfun$setNodeWalkLength$1.class (0.00 MB)

                            *   RandomWalk$$anonfun$setNumPartitions$1.class (0.00 MB)

                            *   RandomWalk$$anonfun$setReturnParameter$1.class (0.00 MB)

                            *   RandomWalk.class (0.02 MB)

                      *   example/

                        *   graph$$anonfun$1.class (0.00 MB)

                        *   graph$$anonfun$2.class (0.00 MB)

                        *   graph$$anonfun$3.class (0.00 MB)

                        *   graph$$anonfun$4.class (0.00 MB)

                        *   graph$$anonfun$5$$anonfun$apply$1.class (0.00 MB)

                        *   graph$$anonfun$5.class (0.00 MB)

                        *   graph$$anonfun$6$$anonfun$apply$2.class (0.00 MB)

                        *   graph$$anonfun$6.class (0.00 MB)

                        *   graph$$anonfun$7.class (0.00 MB)

                        *   graph$$anonfun$8.class (0.00 MB)

                        *   graph$$anonfun$9.class (0.00 MB)

                        *   graph$$anonfun$main$1.class (0.00 MB)

                        *   graph$$anonfun$main$2.class (0.00 MB)

                        *   graph$$anonfun$main$3.class (0.00 MB)

                        *   graph$$anonfun$main$4.class (0.00 MB)

                        *   graph$$anonfun$main$5.class (0.00 MB)

                        *   graph$$anonfun$main$6.class (0.00 MB)

                        *   graph$$anonfun$main$7.class (0.00 MB)

                        *   graph$$anonfun$main$8.class (0.00 MB)

                        *   graph$$anonfun$main$9.class (0.00 MB)

                        *   graph$$anonfun$main$10.class (0.00 MB)

                        *   graph$$anonfun$main$11.class (0.00 MB)

                        *   graph$$anonfun$main$12.class (0.00 MB)

                        *   graph$$anonfun$main$13.class (0.00 MB)

                        *   graph$$anonfun$main$14.class (0.00 MB)

                        *   graph$$anonfun$main$15.class (0.00 MB)

                        *   graph$$anonfun$main$16.class (0.00 MB)

                        *   graph$$anonfun$main$17.class (0.00 MB)

                        *   graph$.class (0.01 MB)

                        *   graph$User$3.class (0.00 MB)

                        *   graph$User$4$.class (0.00 MB)

                        *   graph.class (0.00 MB)

                        *   merge_g$$anonfun$1.class (0.00 MB)

                        *   merge_g$$anonfun$2.class (0.00 MB)

                        *   merge_g$$anonfun$edgesWithNewVertexIds$1$1.class (0.00 MB)

                        *   merge_g$$anonfun$edgesWithNewVertexIds$1$2.class (0.00 MB)

                        *   merge_g$$anonfun$edgesWithNewVertexIds$1$3.class (0.00 MB)

                        *   merge_g$$anonfun$main$1.class (0.00 MB)

                        *   merge_g$$anonfun$mergeGraphs$1.class (0.00 MB)

                        *   merge_g$.class (0.01 MB)

                        *   merge_g.class (0.00 MB)

                      *   main/

                        *   Main1$$anonfun$main$1.class (0.00 MB)

                        *   Main1$$anonfun$main$2.class (0.00 MB)

                        *   Main1$.class (0.00 MB)

                        *   Main1.class (0.00 MB)

                        *   Main2$$anonfun$1$$anonfun$apply$1.class (0.00 MB)

                        *   Main2$$anonfun$1.class (0.00 MB)

                        *   Main2$$anonfun$2$$anonfun$apply$2.class (0.00 MB)

                        *   Main2$$anonfun$2.class (0.00 MB)

                        *   Main2$$anonfun$main$1.class (0.00 MB)

                        *   Main2$$anonfun$main$2.class (0.00 MB)

                        *   Main2$$anonfun$main$3.class (0.00 MB)

                        *   Main2$$anonfun$main$4.class (0.00 MB)

                        *   Main2$$anonfun$main$5$$anonfun$apply$3.class (0.00 MB)

                        *   Main2$$anonfun$main$5.class (0.00 MB)

                        *   Main2$$anonfun$main$6.class (0.00 MB)

                        *   Main2$$anonfun$main$7$$anonfun$apply$4.class (0.00 MB)

                        *   Main2$$anonfun$main$7.class (0.00 MB)

                        *   Main2$$anonfun$main$8.class (0.00 MB)

                        *   Main2$.class (0.01 MB)

                        *   Main2.class (0.00 MB)

                        *   Main3$$anonfun$1$$anonfun$apply$1.class (0.00 MB)

                        *   Main3$$anonfun$1.class (0.00 MB)

                        *   Main3$$anonfun$2$$anonfun$apply$2.class (0.00 MB)

                        *   Main3$$anonfun$2.class (0.00 MB)

                        *   Main3$$anonfun$main$1.class (0.00 MB)

                        *   Main3$$anonfun$main$2.class (0.00 MB)

                        *   Main3$$anonfun$main$3$$anonfun$apply$3.class (0.00 MB)

                        *   Main3$$anonfun$main$3.class (0.00 MB)

                        *   Main3$$anonfun$main$4.class (0.00 MB)

                        *   Main3$$anonfun$main$5$$anonfun$apply$4.class (0.00 MB)

                        *   Main3$$anonfun$main$5.class (0.00 MB)

                        *   Main3$$anonfun$main$6.class (0.00 MB)

                        *   Main3$.class (0.01 MB)

                        *   Main3.class (0.00 MB)

                      *   sparkapplication/

                        *   BaseSparkLocal$class.class (0.00 MB)

                        *   BaseSparkLocal.class (0.00 MB)

                        *   BaseSparkOnline$class.class (0.00 MB)

                        *   BaseSparkOnline.class (0.00 MB)

              *   hbase/

                *   SparkHbase$$anonfun$main$1.class (0.00 MB)

                *   SparkHbase$$anonfun$main$2.class (0.00 MB)

                *   SparkHbase$$anonfun$main$3.class (0.00 MB)

                *   SparkHbase$.class (0.00 MB)

                *   SparkHbase.class (0.00 MB)

                *   hbase_server/

                  *   GetData.class (0.00 MB)

                  *   HbaseUtil.class (0.01 MB)

              *   hbase_server/

                *   GetData.class (0.00 MB)

                *   HbaseUtil.class (0.01 MB)

              *   homework/

                *   kmeans$$anonfun$1.class (0.00 MB)

                *   kmeans$$anonfun$2$$anonfun$apply$1.class (0.00 MB)

                *   kmeans$$anonfun$2.class (0.00 MB)

                *   kmeans$$anonfun$3.class (0.00 MB)

                *   kmeans$$anonfun$4$$anonfun$apply$2.class (0.00 MB)

                *   kmeans$$anonfun$4.class (0.00 MB)

                *   kmeans$$anonfun$5.class (0.00 MB)

                *   kmeans$$typecreator2$1.class (0.00 MB)

                *   kmeans$$typecreator3$1.class (0.00 MB)

                *   kmeans$.class (0.01 MB)

                *   kmeans.class (0.00 MB)

              *   proj/

                *   data/

                  *   DBDataLoader$.class (0.00 MB)

                  *   DBDataLoader.class (0.00 MB)

                  *   DataLoader.class (0.00 MB)

                  *   FileDataLoader$$anonfun$1.class (0.00 MB)

                  *   FileDataLoader$$anonfun$2.class (0.00 MB)

                  *   FileDataLoader$$anonfun$3.class (0.00 MB)

                  *   FileDataLoader$$anonfun$4.class (0.00 MB)

                  *   FileDataLoader$$anonfun$5.class (0.00 MB)

                  *   FileDataLoader$$anonfun$6.class (0.00 MB)

                  *   FileDataLoader$$typecreator1$1.class (0.00 MB)

                  *   FileDataLoader$$typecreator2$1.class (0.00 MB)

                  *   FileDataLoader$$typecreator3$1.class (0.00 MB)

                  *   FileDataLoader$.class (0.01 MB)

                  *   FileDataLoader$AssessData$.class (0.00 MB)

                  *   FileDataLoader$AssessData.class (0.00 MB)

                  *   FileDataLoader$Item$.class (0.00 MB)

                  *   FileDataLoader$Item.class (0.00 MB)

                  *   FileDataLoader$User$.class (0.00 MB)

                  *   FileDataLoader$User.class (0.00 MB)

                  *   FileDataLoader.class (0.00 MB)

                  *   Perprocessing.class (0.00 MB)

                *   engine/

                  *   CFItemEngine.class (0.00 MB)

                  *   CFUserEngine$$anonfun$1.class (0.00 MB)

                  *   CFUserEngine$$anonfun$getItemsBySimilarUser$1.class (0.00 MB)

                  *   CFUserEngine$$anonfun$getItemsBySimilarUser$2.class (0.00 MB)

                  *   CFUserEngine.class (0.01 MB)

                  *   training/

                    *   ItemCF$$anonfun$1.class (0.00 MB)

                    *   ItemCF$$anonfun$2$$anonfun$apply$1.class (0.00 MB)

                    *   ItemCF$$anonfun$2.class (0.00 MB)

                    *   ItemCF$$anonfun$3.class (0.00 MB)

                    *   ItemCF$$typecreator1$1.class (0.00 MB)

                    *   ItemCF$$typecreator2$1.class (0.00 MB)

                    *   ItemCF$$typecreator4$1.class (0.00 MB)

                    *   ItemCF.class (0.01 MB)

                    *   ItemCFTraining.class (0.00 MB)

                    *   UserCF$$anonfun$1.class (0.00 MB)

                    *   UserCF$$anonfun$2.class (0.00 MB)

                    *   UserCF$$anonfun$3$$anonfun$apply$1.class (0.00 MB)

                    *   UserCF$$anonfun$3.class (0.00 MB)

                    *   UserCF$$typecreator1$1.class (0.00 MB)

                    *   UserCF$$typecreator3$1.class (0.00 MB)

                    *   UserCF.class (0.01 MB)

                    *   UserCFTraining.class (0.00 MB)

                *   init/

                  *   start$.class (0.00 MB)

                  *   start.class (0.00 MB)

                *   model/

                  *   training/

                    *   FeatConfig$.class (0.00 MB)

                    *   FeatConfig$AssessData$.class (0.00 MB)

                    *   FeatConfig$AssessData.class (0.00 MB)

                    *   FeatConfig$Item$.class (0.00 MB)

                    *   FeatConfig$Item.class (0.00 MB)

                    *   FeatConfig$User$.class (0.00 MB)

                    *   FeatConfig$User.class (0.00 MB)

                    *   FeatConfig.class (0.00 MB)

                    *   FeatureData$$anonfun$1.class (0.00 MB)

                    *   FeatureData$$anonfun$2.class (0.00 MB)

                    *   FeatureData$$anonfun$3.class (0.00 MB)

                    *   FeatureData$$anonfun$4.class (0.00 MB)

                    *   FeatureData$$anonfun$5.class (0.00 MB)

                    *   FeatureData$$anonfun$6.class (0.00 MB)

                    *   FeatureData$$anonfun$7.class (0.00 MB)

                    *   FeatureData$$anonfun$8.class (0.00 MB)

                    *   FeatureData$$anonfun$9.class (0.00 MB)

                    *   FeatureData$$anonfun$10.class (0.00 MB)

                    *   FeatureData$$anonfun$11.class (0.00 MB)

                    *   FeatureData$$anonfun$12.class (0.00 MB)

                    *   FeatureData$$anonfun$13.class (0.00 MB)

                    *   FeatureData$$anonfun$14.class (0.00 MB)

                    *   FeatureData$$anonfun$15.class (0.00 MB)

                    *   FeatureData$$anonfun$16.class (0.00 MB)

                    *   FeatureData.class (0.01 MB)

                    *   LRModel$$anonfun$1.class (0.00 MB)

                    *   LRModel$$anonfun$trainingLRModel$1.class (0.00 MB)

                    *   LRModel$$anonfun$trainingLRModel$2.class (0.00 MB)

                    *   LRModel.class (0.01 MB)

                    *   TrainingModel$.class (0.00 MB)

                    *   TrainingModel.class (0.00 MB)

                *   rank/

                  *   RankItems$.class (0.00 MB)

                  *   RankItems.class (0.00 MB)

                *   recall/

                  *   RecallItem.class (0.00 MB)

                *   util/

                  *   SparkSessionUtil$.class (0.00 MB)

                  *   SparkSessionUtil.class (0.00 MB)

                  *   Util$.class (0.00 MB)

                  *   Util.class (0.00 MB)

              *   recommand_recall/

                *   item_profile/

                  *   LR$$anonfun$1.class (0.00 MB)

                  *   LR$$anonfun$main$1.class (0.00 MB)

                  *   LR$.class (0.01 MB)

                  *   LR.class (0.00 MB)

                  *   Word2Vec$.class (0.00 MB)

                  *   Word2Vec.class (0.00 MB)

                  *   jiebaCut$$anonfun$1$$anonfun$apply$1.class (0.00 MB)

                  *   jiebaCut$$anonfun$1$$anonfun$apply$2.class (0.00 MB)

                  *   jiebaCut$$anonfun$1.class (0.00 MB)

                  *   jiebaCut$$anonfun$2.class (0.00 MB)

                  *   jiebaCut$$anonfun$3.class (0.00 MB)

                  *   jiebaCut$$typecreator1$1.class (0.00 MB)

                  *   jiebaCut$$typecreator2$1.class (0.00 MB)

                  *   jiebaCut$.class (0.01 MB)

                  *   jiebaCut.class (0.00 MB)

                  *   tf_idfDemp$$anonfun$main$1.class (0.00 MB)

                  *   tf_idfDemp$$typecreator1$1.class (0.00 MB)

                  *   tf_idfDemp$.class (0.01 MB)

                  *   tf_idfDemp.class (0.00 MB)

                *   order/

                  *   Feat$$anonfun$1.class (0.00 MB)

                  *   Feat$$anonfun$2.class (0.00 MB)

                  *   Feat$$typecreator2$1.class (0.00 MB)

                  *   Feat$.class (0.01 MB)

                  *   Feat.class (0.00 MB)

                  *   jieBa$$anonfun$1$$anonfun$apply$1.class (0.00 MB)

                  *   jieBa$$anonfun$1$$anonfun$apply$2.class (0.00 MB)

                  *   jieBa$$anonfun$1.class (0.00 MB)

                  *   jieBa$$typecreator1$1.class (0.00 MB)

                  *   jieBa$$typecreator2$1.class (0.00 MB)

                  *   jieBa$.class (0.00 MB)

                  *   jieBa.class (0.00 MB)

                *   recall_path/

                  *   RecallALS$$anonfun$1.class (0.00 MB)

                  *   RecallALS$$anonfun$2.class (0.00 MB)

                  *   RecallALS$$anonfun$3.class (0.00 MB)

                  *   RecallALS$$anonfun$4$$anonfun$5.class (0.00 MB)

                  *   RecallALS$$anonfun$4.class (0.00 MB)

                  *   RecallALS$$anonfun$6.class (0.00 MB)

                  *   RecallALS$$anonfun$7.class (0.00 MB)

                  *   RecallALS$$typecreator2$1.class (0.00 MB)

                  *   RecallALS$.class (0.01 MB)

                  *   RecallALS$temp_class$.class (0.00 MB)

                  *   RecallALS$temp_class.class (0.00 MB)

                  *   RecallALS.class (0.00 MB)

                  *   RecallUserCf$$anonfun$1.class (0.00 MB)

                  *   RecallUserCf$$anonfun$2.class (0.00 MB)

                  *   RecallUserCf$$anonfun$3$$anonfun$apply$2.class (0.00 MB)

                  *   RecallUserCf$$anonfun$3.class (0.00 MB)

                  *   RecallUserCf$$anonfun$4.class (0.00 MB)

                  *   RecallUserCf$$anonfun$5$$anonfun$apply$3.class (0.00 MB)

                  *   RecallUserCf$$anonfun$5.class (0.00 MB)

                  *   RecallUserCf$$anonfun$6.class (0.00 MB)

                  *   RecallUserCf$$anonfun$7.class (0.00 MB)

                  *   RecallUserCf$$anonfun$8.class (0.00 MB)

                  *   RecallUserCf$$anonfun$9$$anonfun$10.class (0.00 MB)

                  *   RecallUserCf$$anonfun$9$$anonfun$apply$4$$anonfun$apply$1.class (0.00 MB)

                  *   RecallUserCf$$anonfun$9$$anonfun$apply$4.class (0.00 MB)

                  *   RecallUserCf$$anonfun$9.class (0.00 MB)

                  *   RecallUserCf$$anonfun$11$$anonfun$apply$5.class (0.00 MB)

                  *   RecallUserCf$$anonfun$11.class (0.00 MB)

                  *   RecallUserCf$$typecreator2$1.class (0.00 MB)

                  *   RecallUserCf$$typecreator4$1.class (0.00 MB)

                  *   RecallUserCf$$typecreator6$1.class (0.00 MB)

                  *   RecallUserCf$$typecreator7$1.class (0.00 MB)

                  *   RecallUserCf$$typecreator8$1.class (0.00 MB)

                  *   RecallUserCf$$typecreator9$1.class (0.00 MB)

                  *   RecallUserCf$$typecreator10$1.class (0.00 MB)

                  *   RecallUserCf$$typecreator11$1.class (0.00 MB)

                  *   RecallUserCf$.class (0.01 MB)

                  *   RecallUserCf.class (0.00 MB)

                  *   RecallUserCfType1$$anonfun$1.class (0.00 MB)

                  *   RecallUserCfType1$$anonfun$2$$anonfun$apply$2.class (0.00 MB)

                  *   RecallUserCfType1$$anonfun$2.class (0.00 MB)

                  *   RecallUserCfType1$$anonfun$3.class (0.00 MB)

                  *   RecallUserCfType1$$anonfun$4.class (0.00 MB)

                  *   RecallUserCfType1$$anonfun$5$$anonfun$6.class (0.00 MB)

                  *   RecallUserCfType1$$anonfun$5$$anonfun$apply$3$$anonfun$apply$1.class (0.00 MB)

                  *   RecallUserCfType1$$anonfun$5$$anonfun$apply$3.class (0.00 MB)

                  *   RecallUserCfType1$$anonfun$5.class (0.00 MB)

                  *   RecallUserCfType1$$anonfun$7$$anonfun$apply$4.class (0.00 MB)

                  *   RecallUserCfType1$$anonfun$7.class (0.00 MB)

                  *   RecallUserCfType1$$typecreator2$1.class (0.00 MB)

                  *   RecallUserCfType1$$typecreator4$1.class (0.00 MB)

                  *   RecallUserCfType1$$typecreator5$1.class (0.00 MB)

                  *   RecallUserCfType1$$typecreator6$1.class (0.00 MB)

                  *   RecallUserCfType1$$typecreator7$1.class (0.00 MB)

                  *   RecallUserCfType1$$typecreator8$1.class (0.00 MB)

                  *   RecallUserCfType1$$typecreator9$1.class (0.00 MB)

                  *   RecallUserCfType1$.class (0.01 MB)

                  *   RecallUserCfType1.class (0.00 MB)

                  *   Utils.class (0.00 MB)

                  *   item2Vec$$anon$1.class (0.00 MB)

                  *   item2Vec$.class (0.01 MB)

                  *   item2Vec.class (0.00 MB)

                  *   recallItemCF$$anonfun$1.class (0.00 MB)

                  *   recallItemCF$$anonfun$2$$anonfun$apply$1.class (0.00 MB)

                  *   recallItemCF$$anonfun$2.class (0.00 MB)

                  *   recallItemCF$$typecreator2$1.class (0.00 MB)

                  *   recallItemCF$.class (0.01 MB)

                  *   recallItemCF.class (0.00 MB)

                *   sparkCore/

                  *   Action$$anonfun$1.class (0.00 MB)

                  *   Action$$anonfun$2.class (0.00 MB)

                  *   Action$$anonfun$3.class (0.00 MB)

                  *   Action$$anonfun$4.class (0.00 MB)

                  *   Action$$anonfun$5.class (0.00 MB)

                  *   Action$$anonfun$6.class (0.00 MB)

                  *   Action$$anonfun$7.class (0.00 MB)

                  *   Action$$anonfun$8.class (0.00 MB)

                  *   Action$$anonfun$9$$anonfun$apply$1.class (0.00 MB)

                  *   Action$$anonfun$9.class (0.00 MB)

                  *   Action$.class (0.00 MB)

                  *   Action.class (0.00 MB)

                  *   TransFormer$$anonfun$1.class (0.00 MB)

                  *   TransFormer$$anonfun$2.class (0.00 MB)

                  *   TransFormer$$anonfun$3.class (0.00 MB)

                  *   TransFormer$$anonfun$4.class (0.00 MB)

                  *   TransFormer$$anonfun$5.class (0.00 MB)

                  *   TransFormer$$anonfun$6.class (0.00 MB)

                  *   TransFormer$$anonfun$7.class (0.00 MB)

                  *   TransFormer$$anonfun$8.class (0.00 MB)

                  *   TransFormer$$anonfun$com$badou$recommand_recall$sparkCore$TransFormer$$B_string$1$1.class (0.00 MB)

                  *   TransFormer$$anonfun$com$badou$recommand_recall$sparkCore$TransFormer$$func2$1$1.class (0.00 MB)

                  *   TransFormer$$anonfun$main$1.class (0.00 MB)

                  *   TransFormer$$anonfun$main$2.class (0.00 MB)

                  *   TransFormer$$anonfun$main$3.class (0.00 MB)

                  *   TransFormer$$anonfun$main$4.class (0.00 MB)

                  *   TransFormer$$anonfun$main$5.class (0.00 MB)

                  *   TransFormer$$anonfun$main$6.class (0.00 MB)

                  *   TransFormer$$anonfun$main$7.class (0.00 MB)

                  *   TransFormer$$anonfun$main$8.class (0.00 MB)

                  *   TransFormer$$anonfun$main$9.class (0.00 MB)

                  *   TransFormer$$anonfun$main$10.class (0.00 MB)

                  *   TransFormer$$anonfun$main$11.class (0.00 MB)

                  *   TransFormer$$anonfun$main$12.class (0.00 MB)

                  *   TransFormer$$anonfun$main$13.class (0.00 MB)

                  *   TransFormer$$anonfun$main$14.class (0.00 MB)

                  *   TransFormer$$anonfun$main$15.class (0.00 MB)

                  *   TransFormer$$anonfun$main$16$$anonfun$apply$1.class (0.00 MB)

                  *   TransFormer$$anonfun$main$16.class (0.00 MB)

                  *   TransFormer$$anonfun$main$17.class (0.00 MB)

                  *   TransFormer$$anonfun$main$18.class (0.00 MB)

                  *   TransFormer$$anonfun$main$19.class (0.00 MB)

                  *   TransFormer$$anonfun$main$20.class (0.00 MB)

                  *   TransFormer$$anonfun$main$21.class (0.00 MB)

                  *   TransFormer$$anonfun$main$22.class (0.00 MB)

                  *   TransFormer$$anonfun$main$23.class (0.00 MB)

                  *   TransFormer$$anonfun$main$24.class (0.00 MB)

                  *   TransFormer$$anonfun$main$25.class (0.00 MB)

                  *   TransFormer$$anonfun$main$26.class (0.00 MB)

                  *   TransFormer$$anonfun$main$27.class (0.00 MB)

                  *   TransFormer$$anonfun$main$28.class (0.00 MB)

                  *   TransFormer$$anonfun$main$29.class (0.00 MB)

                  *   TransFormer$$anonfun$main$30.class (0.00 MB)

                  *   TransFormer$$anonfun$main$31$$anonfun$apply$2.class (0.00 MB)

                  *   TransFormer$$anonfun$main$31.class (0.00 MB)

                  *   TransFormer$$anonfun$main$32.class (0.00 MB)

                  *   TransFormer$$anonfun$main$33.class (0.00 MB)

                  *   TransFormer$$anonfun$main$34$$anonfun$apply$3.class (0.00 MB)

                  *   TransFormer$$anonfun$main$34.class (0.00 MB)

                  *   TransFormer$$anonfun$main$35.class (0.00 MB)

                  *   TransFormer$$anonfun$main$36.class (0.00 MB)

                  *   TransFormer$$anonfun$main$37.class (0.00 MB)

                  *   TransFormer$$anonfun$main$38.class (0.00 MB)

                  *   TransFormer$$anonfun$main$39.class (0.00 MB)

                  *   TransFormer$.class (0.02 MB)

                  *   TransFormer.class (0.00 MB)

                  *   repartitionAndSort/

                    *   User$$anonfun$2.class (0.00 MB)

                    *   User$$anonfun$3.class (0.00 MB)

                    *   User$$anonfun$main$1.class (0.00 MB)

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                    *   User$UserKey$$anonfun$orderingBy$1.class (0.00 MB)

                    *   User$UserKey$.class (0.00 MB)

                    *   User$UserKey.class (0.00 MB)

                    *   User$UserPartitioner$$anonfun$1.class (0.00 MB)

                    *   User$UserPartitioner.class (0.00 MB)

                    *   User.class (0.00 MB)

                  *   test/

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                    *   demo$$anonfun$play$1.class (0.00 MB)

                    *   demo$.class (0.00 MB)

                    *   demo$A.class (0.00 MB)

                    *   demo$B.class (0.00 MB)

                    *   demo$C.class (0.00 MB)

                    *   demo.class (0.00 MB)

                *   sparkSQL/

                  *   DataFrameDemo$$typecreator1$1.class (0.00 MB)

                  *   DataFrameDemo$.class (0.01 MB)

                  *   DataFrameDemo.class (0.00 MB)

                  *   SparkSqlDemo$$anonfun$1.class (0.00 MB)

                  *   SparkSqlDemo$$anonfun$2.class (0.00 MB)

                  *   SparkSqlDemo$$anonfun$3.class (0.00 MB)

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                  *   SparkSqlDemo$$anonfun$7.class (0.00 MB)

                  *   SparkSqlDemo$$typecreator2$1.class (0.00 MB)

                  *   SparkSqlDemo$.class (0.01 MB)

                  *   SparkSqlDemo$User$3.class (0.00 MB)

                  *   SparkSqlDemo$User$4$.class (0.00 MB)

                  *   SparkSqlDemo.class (0.00 MB)

                  *   hiveHomeWork/

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                    *   Feat.class (0.00 MB)

                    *   jieBa$$anonfun$1$$anonfun$apply$1.class (0.00 MB)

                    *   jieBa$$anonfun$1$$anonfun$apply$2.class (0.00 MB)

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                    *   jieBa$$typecreator2$1.class (0.00 MB)

                    *   jieBa$.class (0.00 MB)

                    *   jieBa.class (0.00 MB)

                  *   udf/

                    *   AggregatorUdf$$typecreator1$1.class (0.00 MB)

                    *   AggregatorUdf$.class (0.00 MB)

                    *   AggregatorUdf.class (0.00 MB)

                    *   AvgScore$.class (0.00 MB)

                    *   AvgScore.class (0.00 MB)

                    *   Udf$.class (0.00 MB)

                    *   Udf.class (0.00 MB)

                    *   UdfMain$.class (0.00 MB)

                    *   UdfMain.class (0.00 MB)

                    *   User$.class (0.00 MB)

                    *   User.class (0.01 MB)

          *   core-site.xml (0.00 MB)

          *   hdfs-site.xml (0.00 MB)

          *   hive-site.xml (0.00 MB)

          *   log4j2.properties (0.00 MB)

        *   classes.timestamp (0.00 MB)

        *   generated-sources/

          *   annotations

        *   maven-archiver/

          *   pom.properties (0.00 MB)

        *   recommand-1.0-SNAPSHOT-jar-with-dependencies.jar (247.82 MB)

        *   recommand-1.0-SNAPSHOT.jar (0.77 MB)

        *   test-classes

  *   绘图/

    *   01eges源码分析.drawio (1.81 MB)

    *   02fm+lr.drawio (0.80 MB)

  *   视频/

    *   01eges（基于图的item2vector）源码分析（上）.mp4 (750.23 MB), 56:24

    *   02eges（基于图的item2vector源码分析（下）.mp4 (1.36 GB), 01:33:53

    *   03.排序开始即数据准备+模型构建.mp4 (444.20 MB), 53:30

    *   04排序模型lr以及FM的讲解.mp4 (1.31 GB), 01:28:09

*   【14day】fm+dnn+deepfm+引入lstm+attention的deepfm/

  *   code/

    *   rank/

      *   DCN/

        *   DCN.py (0.01 MB)

        *   DataLoader.py (0.00 MB)

        *   __pycache__/

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          *   DataLoader.cpython-36.pyc (0.00 MB)

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        *   config.py (0.00 MB)

        *   data/

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          *   train.csv (1.80 MB)

        *   main.py (0.00 MB)

      *   DIN/

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        *   README.md (0.00 MB)

        *   build_dataset.py (0.00 MB)

        *   convert_pd.py (0.00 MB)

        *   input.py (0.00 MB)

        *   model.py (0.01 MB)

        *   raw_data

        *   remap_id.py (0.00 MB)

        *   train.py (0.00 MB)

        *   utils/

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          *   1_convert_pd.py (0.00 MB)

          *   2_remap_id.py (0.00 MB)

          *   raw_data/

            *   cat_voc.pkl (0.04 MB)

            *   item-info (41.80 MB)

            *   local_test_splitByUser (33.71 MB)

            *   local_train_splitByUser (299.76 MB)

            *   mid_voc.pkl (10.67 MB)

            *   reviews-info (345.52 MB)

            *   uid_voc.pkl (17.78 MB)

      *   GBDT+LR/

        *   GBDT_LR.py (0.00 MB)

        *   model.txt (0.61 MB)

        *   save.txt (0.66 MB)

        *   train_data/

          *   test.csv (0.35 MB)

          *   train.csv (1.80 MB)

      *   Transformer/

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        *   data_path (0.00 MB)

        *   eval.py (0.00 MB)

        *   hyperparams.py (0.00 MB)

        *   logdir/

          *   checkpoint (0.00 MB)

          *   events.out.tfevents.1564970221.AI-DEV (19.05 MB)

          *   events.out.tfevents.1564992537.AI-DEV (19.30 MB)

          *   events.out.tfevents.1608304362.DESKTOP-3RMSERG (18.79 MB)

          *   events.out.tfevents.1608432012.DESKTOP-3RMSERG (18.79 MB)

          *   events.out.tfevents.1610262907.DESKTOP-3RMSERG (14.06 MB)

          *   graph.pbtxt (18.56 MB)

          *   model_epoch_16_gs_34060.data-00000-of-00001 (611.37 MB)

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          *   model_epoch_17_gs_35763.data-00000-of-00001 (611.37 MB)

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          *   model_epoch_17_gs_35763.meta (9.75 MB)

          *   model_epoch_18_gs_37466.data-00000-of-00001 (611.37 MB)

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          *   model_epoch_18_gs_37466.meta (9.75 MB)

          *   model_epoch_19_gs_39169.data-00000-of-00001 (611.37 MB)

          *   model_epoch_19_gs_39169.index (0.02 MB)

          *   model_epoch_19_gs_39169.meta (9.75 MB)

          *   model_epoch_20_gs_40872.data-00000-of-00001 (611.37 MB)

          *   model_epoch_20_gs_40872.index (0.02 MB)

          *   model_epoch_20_gs_40872.meta (9.75 MB)

        *   modules.py (0.02 MB)

        *   results/

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        *   train.py (0.01 MB)

        *   train_data/

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          *   IWSLT16.TED.dev2010.de-en.en.xml (0.11 MB)

          *   IWSLT16.TED.tst2010.de-en.de.xml (0.20 MB)

          *   IWSLT16.TED.tst2010.de-en.en.xml (0.18 MB)

          *   IWSLT16.TED.tst2011.de-en.de.xml (0.18 MB)

          *   IWSLT16.TED.tst2011.de-en.en.xml (0.16 MB)

          *   IWSLT16.TED.tst2012.de-en.de.xml (0.20 MB)

          *   IWSLT16.TED.tst2012.de-en.en.xml (0.18 MB)

          *   IWSLT16.TED.tst2013.de-en.de.xml (0.13 MB)

          *   IWSLT16.TED.tst2013.de-en.en.xml (0.12 MB)

          *   IWSLT16.TED.tst2014.de-en.de.xml (0.16 MB)

          *   IWSLT16.TED.tst2014.de-en.en.xml (0.15 MB)

          *   IWSLT16.TEDX.dev2012.de-en.de.xml (0.14 MB)

          *   IWSLT16.TEDX.dev2012.de-en.en.xml (0.13 MB)

          *   IWSLT16.TEDX.tst2013.de-en.de.xml (0.15 MB)

          *   IWSLT16.TEDX.tst2013.de-en.en.xml (0.14 MB)

          *   IWSLT16.TEDX.tst2014.de-en.de.xml (0.17 MB)

          *   IWSLT16.TEDX.tst2014.de-en.en.xml (0.16 MB)

          *   README (0.00 MB)

          *   de-en

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          *   en.vocab.tsv (0.90 MB)

          *   train.en (21.96 MB)

          *   train.tags.de-en.de (20.84 MB)

          *   train.tags.de-en.en (18.82 MB)

      *   __init__.py (0.00 MB)

      *   deepFM/

        *   .ipynb_checkpoints/

          *   DeepFM-StepByStep-checkpoint.ipynb (0.04 MB)

        *   DataReader.py (0.00 MB)

        *   DeepFM-StepByStep.ipynb (0.04 MB)

        *   DeepFM.py (0.02 MB)

        *   __pycache__/

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          *   DeepFM.cpython-36.pyc (0.01 MB)

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          *   main.cpython-36.pyc (0.01 MB)

          *   metrics.cpython-36.pyc (0.00 MB)

        *   config.py (0.00 MB)

        *   data/

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          *   train.csv (1.80 MB)

        *   fig

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        *   metrics.py (0.00 MB)

        *   output/

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          *   DNN_Mean-0.05281_Std0.04612.csv (0.03 MB)

          *   DeepFM_Mean0.02730_Std0.04104.csv (0.03 MB)

          *   DeepFM_Mean0.04933_Std0.09427.csv (0.03 MB)

          *   FM_Mean0.01414_Std0.09555.csv (0.03 MB)

          *   FM_Mean-0.09141_Std0.04476.csv (0.03 MB)

        *   test_dataprocess.py (0.00 MB)

        *   test_wide&deep.py (0.00 MB)

      *   demo.py (0.00 MB)

      *   mmoe.py (0.01 MB)

      *   project/

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        *   X_side.txt.npy (0.00 MB)

        *   __init__.py

        *   __pycache__/

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          *   inputs.cpython-36.pyc (0.01 MB)

        *   data/

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          *   test.csv (564.29 MB)

          *   train.csv (1.75 GB)

          *   user.csv (144.52 MB)

        *   deepfm.py (0.01 MB)

        *   demo.py (0.00 MB)

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      *   tree_demo/

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        *   train_modified.csv (2.35 MB)

        *   tree.py (0.00 MB)

        *   xgb.py (0.00 MB)

      *   wide&deep/

        *   wide&deep.py (0.00 MB)

  *   作业/

    *   作业.txt (0.00 MB)

  *   绘图/

    *   widedeep+deepfm.drawio (1.78 MB)

  *   视频/

    *   01wideDeep+源码.mp4 (636.76 MB), 01:10:00

    *   02deepfm+源码.mp4 (550.90 MB), 01:02:19

    *   03auc的原理+lstm.mp4 (718.83 MB), 01:09:19

    *   04引入lstm+bitattention的deepfm源码.mp4 (749.60 MB), 01:10:03

*   【15day】attention+实时部分/

  *   ppt/

    *   01Flume.pdf (0.85 MB)

    *   02Kafka.pdf (0.85 MB)

    *   03Hbase.pdf (1.88 MB)

    *   05数据采集业务.pdf (0.51 MB)

    *   06Zookeeper.pdf (0.44 MB)

    *   07Spark Streaming.pdf (0.93 MB)

  *   作业/

    *   作业.txt (0.00 MB)

  *   绘图/

    *   01.transformer.drawio (1.10 MB)

    *   02.flume.drawio (0.66 MB)

    *   03.kafka.drawio (0.18 MB)

    *   Hbase.drawio (1.50 MB)

  *   视频/

    *   01.transformer.mp4 (1.28 GB), 01:15:35

    *   02.flume.mp4 (852.94 MB), 01:04:04

    *   03kafka.mp4 (576.27 MB), 47:40

    *   04日志收集+hbase.mp4 (1.15 GB), 01:27:44

*   【16day】sparkstreaming/

  *   code/

    *   sparkStreaming/

      *   .idea/

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      *   metastore_db/

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        *   log/

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          *   cb1.dat (0.02 MB)

          *   cc0.dat (0.01 MB)

          *   cd1.dat (0.01 MB)

          *   ce1.dat (0.01 MB)

          *   cf0.dat (0.02 MB)

        *   service.properties (0.00 MB)

        *   tmp

      *   pom.xml (0.01 MB)

      *   spark-warehouse

      *   sparkStreaming.iml (0.00 MB)

      *   src/

        *   main/

          *   resources/

            *   core-site.xml (0.00 MB)

            *   hdfs-site.xml (0.00 MB)

            *   hive-site.xml (0.00 MB)

            *   log4j2.properties (0.00 MB)

          *   scala/

            *   hbase_server/

              *   GetData.java (0.00 MB)

              *   HbaseUtil.java (0.00 MB)

            *   org/

              *   apache/

                *   spark/

                  *   streaming/

                    *   kafka/

                      *   KafkaManager.scala (0.01 MB)

            *   streaming/

              *   DirectKafaTest.scala (0.00 MB)

              *   JsonTest.scala (0.00 MB)

              *   LocalStreamTest.scala (0.00 MB)

              *   Orders.java (0.00 MB)

              *   ReceiverTest.scala (0.00 MB)

        *   test/

          *   scala/

            *   sparkStreaming

      *   target/

        *   archive-tmp

        *   classes/

          *   core-site.xml (0.00 MB)

          *   hbase_server/

            *   GetData.class (0.00 MB)

            *   HbaseUtil.class (0.01 MB)

          *   hdfs-site.xml (0.00 MB)

          *   hive-site.xml (0.00 MB)

          *   log4j2.properties (0.00 MB)

          *   org/

            *   apache/

              *   spark/

                *   streaming/

                  *   kafka/

                    *   KafkaManager$$anonfun$1.class (0.00 MB)

                    *   KafkaManager$$anonfun$2.class (0.00 MB)

                    *   KafkaManager$$anonfun$5.class (0.00 MB)

                    *   KafkaManager$$anonfun$6.class (0.00 MB)

                    *   KafkaManager$$anonfun$7.class (0.00 MB)

                    *   KafkaManager$$anonfun$8.class (0.00 MB)

                    *   KafkaManager$$anonfun$9.class (0.00 MB)

                    *   KafkaManager$$anonfun$commitOffsetsToZK$1.class (0.00 MB)

                    *   KafkaManager$$anonfun$commitOffsetsToZK$2$$anonfun$apply$7.class (0.00 MB)

                    *   KafkaManager$$anonfun$commitOffsetsToZK$2.class (0.00 MB)

                    *   KafkaManager$$anonfun$commitOffsetsToZK$3$$anonfun$apply$8.class (0.00 MB)

                    *   KafkaManager$$anonfun$commitOffsetsToZK$3.class (0.00 MB)

                    *   KafkaManager$$anonfun$createDirectStream$1$$anonfun$apply$1.class (0.00 MB)

                    *   KafkaManager$$anonfun$createDirectStream$1.class (0.00 MB)

                    *   KafkaManager$$anonfun$createDirectStream$2$$anonfun$apply$2.class (0.00 MB)

                    *   KafkaManager$$anonfun$createDirectStream$2.class (0.00 MB)

                    *   KafkaManager$$anonfun$createJavaDirectStream$1.class (0.00 MB)

                    *   KafkaManager$$anonfun$getStartOffsets$1$$anonfun$3.class (0.00 MB)

                    *   KafkaManager$$anonfun$getStartOffsets$1$$anonfun$4.class (0.00 MB)

                    *   KafkaManager$$anonfun$getStartOffsets$1$$anonfun$apply$3.class (0.00 MB)

                    *   KafkaManager$$anonfun$getStartOffsets$1$$anonfun$apply$4.class (0.00 MB)

                    *   KafkaManager$$anonfun$getStartOffsets$1.class (0.00 MB)

                    *   KafkaManager$$anonfun$org$apache$spark$streaming$kafka$KafkaManager$$checkConsumerOffsets$1$$anonfun$apply$5.class (0.00 MB)

                    *   KafkaManager$$anonfun$org$apache$spark$streaming$kafka$KafkaManager$$checkConsumerOffsets$1$$anonfun$apply$6.class (0.00 MB)

                    *   KafkaManager$$anonfun$org$apache$spark$streaming$kafka$KafkaManager$$checkConsumerOffsets$1.class (0.00 MB)

                    *   KafkaManager$.class (0.00 MB)

                    *   KafkaManager.class (0.02 MB)

          *   streaming/

            *   JsonTest$.class (0.00 MB)

            *   JsonTest.class (0.00 MB)

            *   LocalStreamTest$$anonfun$2.class (0.00 MB)

            *   LocalStreamTest$$anonfun$3.class (0.00 MB)

            *   LocalStreamTest$$anonfun$4$$anonfun$1.class (0.00 MB)

            *   LocalStreamTest$$anonfun$4.class (0.00 MB)

            *   LocalStreamTest$$anonfun$5.class (0.00 MB)

            *   LocalStreamTest$.class (0.00 MB)

            *   LocalStreamTest.class (0.00 MB)

            *   Orders.class (0.00 MB)

        *   classes.timestamp (0.00 MB)

        *   generated-sources/

          *   annotations

        *   maven-archiver/

          *   pom.properties (0.00 MB)

        *   sparkStreaming-1.0-SNAPSHOT-jar-with-dependencies.jar (194.63 MB)

        *   sparkStreaming-1.0-SNAPSHOT.jar (0.06 MB)

        *   test-classes

  *   ppt/

    *   01Flume.pdf (0.85 MB)

    *   02Kafka.pdf (0.85 MB)

    *   03Hbase.pdf (1.88 MB)

    *   05数据采集业务.pdf (0.51 MB)

    *   06Zookeeper.pdf (0.44 MB)

    *   07Spark Streaming.pdf (0.93 MB)

  *   简历/

    *   MOX商城个性化推荐系统(1).docx (0.24 MB)

    *   小达人个性化短视频推荐系统.docx (0.25 MB)

  *   绘图/

    *   sparkstreaming.drawio (0.19 MB)

    *   sparkstreaming消费kafka.drawio (0.92 MB)

  *   视频/

    *   01hbase下.mp4 (615.69 MB), 53:08

    *   02sparkstreaming.mp4 (1.09 GB), 01:30:16

    *   03sparkstreaming消费kafka的两种模式.mp4 (509.20 MB), 50:59

    *   04案例+优秀简历.mp4 (1016.90 MB), 01:33:59