http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/b8a847fa/userguide/multiclass/iris_randomforest.html ---------------------------------------------------------------------- diff --git a/userguide/multiclass/iris_randomforest.html b/userguide/multiclass/iris_randomforest.html index 151a218..b3c275b 100644 --- a/userguide/multiclass/iris_randomforest.html +++ b/userguide/multiclass/iris_randomforest.html @@ -221,13 +221,28 @@ </li> - <li class="chapter " data-level="1.3" data-path="../tips/"> + <li class="chapter " data-level="1.3" data-path="../misc/funcs.html"> - <a href="../tips/"> + <a href="../misc/funcs.html"> <b>1.3.</b> + List of Functions + + </a> + + + + </li> + + <li class="chapter " data-level="1.4" data-path="../tips/"> + + <a href="../tips/"> + + + <b>1.4.</b> + Tips for Effective Hivemall </a> @@ -237,12 +252,12 @@ <ul class="articles"> - <li class="chapter " data-level="1.3.1" data-path="../tips/addbias.html"> + <li class="chapter " data-level="1.4.1" data-path="../tips/addbias.html"> <a href="../tips/addbias.html"> - <b>1.3.1.</b> + <b>1.4.1.</b> Explicit add_bias() for better prediction @@ -252,12 +267,12 @@ </li> - <li class="chapter " data-level="1.3.2" data-path="../tips/rand_amplify.html"> + <li class="chapter " data-level="1.4.2" data-path="../tips/rand_amplify.html"> <a href="../tips/rand_amplify.html"> - <b>1.3.2.</b> + <b>1.4.2.</b> Use rand_amplify() to better prediction results @@ -267,14 +282,14 @@ </li> - <li class="chapter " data-level="1.3.3" data-path="../tips/rt_prediction.html"> + <li class="chapter " data-level="1.4.3" data-path="../tips/rt_prediction.html"> <a href="../tips/rt_prediction.html"> - <b>1.3.3.</b> + <b>1.4.3.</b> - Real-time Prediction on RDBMS + Real-time prediction on RDBMS </a> @@ -282,12 +297,12 @@ </li> - <li class="chapter " data-level="1.3.4" data-path="../tips/ensemble_learning.html"> + <li class="chapter " data-level="1.4.4" data-path="../tips/ensemble_learning.html"> <a href="../tips/ensemble_learning.html"> - <b>1.3.4.</b> + <b>1.4.4.</b> Ensemble learning for stable prediction @@ -297,12 +312,12 @@ </li> - <li class="chapter " data-level="1.3.5" data-path="../tips/mixserver.html"> + <li class="chapter " data-level="1.4.5" data-path="../tips/mixserver.html"> <a href="../tips/mixserver.html"> - <b>1.3.5.</b> + <b>1.4.5.</b> Mixing models for a better prediction convergence (MIX server) @@ -312,12 +327,12 @@ </li> - <li class="chapter " data-level="1.3.6" data-path="../tips/emr.html"> + <li class="chapter " data-level="1.4.6" data-path="../tips/emr.html"> <a href="../tips/emr.html"> - <b>1.3.6.</b> + <b>1.4.6.</b> Run Hivemall on Amazon Elastic MapReduce @@ -332,14 +347,14 @@ </li> - <li class="chapter " data-level="1.4" data-path="../tips/general_tips.html"> + <li class="chapter " data-level="1.5" data-path="../tips/general_tips.html"> <a href="../tips/general_tips.html"> - <b>1.4.</b> + <b>1.5.</b> - General Hive/Hadoop tips + General Hive/Hadoop Tips </a> @@ -348,12 +363,12 @@ <ul class="articles"> - <li class="chapter " data-level="1.4.1" data-path="../tips/rowid.html"> + <li class="chapter " data-level="1.5.1" data-path="../tips/rowid.html"> <a href="../tips/rowid.html"> - <b>1.4.1.</b> + <b>1.5.1.</b> Adding rowid for each row @@ -363,12 +378,12 @@ </li> - <li class="chapter " data-level="1.4.2" data-path="../tips/hadoop_tuning.html"> + <li class="chapter " data-level="1.5.2" data-path="../tips/hadoop_tuning.html"> <a href="../tips/hadoop_tuning.html"> - <b>1.4.2.</b> + <b>1.5.2.</b> Hadoop tuning for Hivemall @@ -383,12 +398,12 @@ </li> - <li class="chapter " data-level="1.5" data-path="../troubleshooting/"> + <li class="chapter " data-level="1.6" data-path="../troubleshooting/"> <a href="../troubleshooting/"> - <b>1.5.</b> + <b>1.6.</b> Troubleshooting @@ -399,12 +414,12 @@ <ul class="articles"> - <li class="chapter " data-level="1.5.1" data-path="../troubleshooting/oom.html"> + <li class="chapter " data-level="1.6.1" data-path="../troubleshooting/oom.html"> <a href="../troubleshooting/oom.html"> - <b>1.5.1.</b> + <b>1.6.1.</b> OutOfMemoryError in training @@ -414,14 +429,14 @@ </li> - <li class="chapter " data-level="1.5.2" data-path="../troubleshooting/mapjoin_task_error.html"> + <li class="chapter " data-level="1.6.2" data-path="../troubleshooting/mapjoin_task_error.html"> <a href="../troubleshooting/mapjoin_task_error.html"> - <b>1.5.2.</b> + <b>1.6.2.</b> - SemanticException Generate Map Join Task Error: Cannot serialize object + SemanticException generate map join task error: Cannot serialize object </a> @@ -429,12 +444,12 @@ </li> - <li class="chapter " data-level="1.5.3" data-path="../troubleshooting/asterisk.html"> + <li class="chapter " data-level="1.6.3" data-path="../troubleshooting/asterisk.html"> <a href="../troubleshooting/asterisk.html"> - <b>1.5.3.</b> + <b>1.6.3.</b> Asterisk argument for UDTF does not work @@ -444,12 +459,12 @@ </li> - <li class="chapter " data-level="1.5.4" data-path="../troubleshooting/num_mappers.html"> + <li class="chapter " data-level="1.6.4" data-path="../troubleshooting/num_mappers.html"> <a href="../troubleshooting/num_mappers.html"> - <b>1.5.4.</b> + <b>1.6.4.</b> The number of mappers is less than input splits in Hadoop 2.x @@ -459,14 +474,14 @@ </li> - <li class="chapter " data-level="1.5.5" data-path="../troubleshooting/mapjoin_classcastex.html"> + <li class="chapter " data-level="1.6.5" data-path="../troubleshooting/mapjoin_classcastex.html"> <a href="../troubleshooting/mapjoin_classcastex.html"> - <b>1.5.5.</b> + <b>1.6.5.</b> - Map-side Join causes ClassCastException on Tez + Map-side join causes ClassCastException on Tez </a> @@ -493,7 +508,7 @@ <b>2.1.</b> - List of generic Hivemall functions + List of Generic Hivemall Functions </a> @@ -508,7 +523,7 @@ <b>2.2.</b> - Efficient Top-K query processing + Efficient Top-K Query Processing </a> @@ -620,7 +635,7 @@ <b>3.5.</b> - FEATURE PAIRING + Feature Paring </a> @@ -636,7 +651,7 @@ <b>3.5.1.</b> - Polynomial Features + Polynomial features </a> @@ -656,7 +671,7 @@ <b>3.6.</b> - FEATURE TRANSFORMATION + Feature Transformation </a> @@ -672,7 +687,7 @@ <b>3.6.1.</b> - Feature Vectorization + Feature vectorization </a> @@ -745,7 +760,7 @@ <b>4.1.1.</b> - Area Under the ROC Curve + Area under the ROC curve </a> @@ -780,7 +795,7 @@ <b>4.3.</b> - Regression metrics + Regression Metrics </a> @@ -864,7 +879,7 @@ - <li class="header">Part VI - Binary classification</li> + <li class="header">Part VI - Binary Classification</li> @@ -890,7 +905,7 @@ <b>6.2.</b> - a9a tutorial + a9a Tutorial </a> @@ -936,7 +951,7 @@ <b>6.2.3.</b> - Mini-batch Gradient Descent + Mini-batch gradient descent </a> @@ -956,7 +971,7 @@ <b>6.3.</b> - News20 tutorial + News20 Tutorial </a> @@ -1052,7 +1067,7 @@ <b>6.4.</b> - KDD2010a tutorial + KDD2010a Tutorial </a> @@ -1103,7 +1118,7 @@ <b>6.5.</b> - KDD2010b tutorial + KDD2010b Tutorial </a> @@ -1154,7 +1169,7 @@ <b>6.6.</b> - Webspam tutorial + Webspam Tutorial </a> @@ -1205,7 +1220,7 @@ <b>6.7.</b> - Kaggle Titanic tutorial + Kaggle Titanic Tutorial </a> @@ -1216,7 +1231,7 @@ - <li class="header">Part VII - Multiclass classification</li> + <li class="header">Part VII - Multiclass Classification</li> @@ -1227,7 +1242,7 @@ <b>7.1.</b> - News20 Multiclass tutorial + News20 Multiclass Tutorial </a> @@ -1338,7 +1353,7 @@ <b>7.2.</b> - Iris tutorial + Iris Tutorial </a> @@ -1426,7 +1441,7 @@ <b>8.2.</b> - E2006-tfidf regression tutorial + E2006-tfidf Regression Tutorial </a> @@ -1477,7 +1492,7 @@ <b>8.3.</b> - KDDCup 2012 track 2 CTR prediction tutorial + KDDCup 2012 Track 2 CTR Prediction Tutorial </a> @@ -1523,7 +1538,7 @@ <b>8.3.3.</b> - Logistic Regression with Amplifier + Logistic Regression with amplifier </a> @@ -1581,7 +1596,7 @@ <b>9.1.1.</b> - Item-based Collaborative Filtering + Item-based collaborative filtering </a> @@ -1601,7 +1616,7 @@ <b>9.2.</b> - News20 related article recommendation Tutorial + News20 Related Article Recommendation Tutorial </a> @@ -1632,7 +1647,7 @@ <b>9.2.2.</b> - LSH/Minhash and Jaccard Similarity + LSH/MinHash and Jaccard similarity </a> @@ -1647,7 +1662,7 @@ <b>9.2.3.</b> - LSH/Minhash and Brute-Force Search + LSH/MinHash and brute-force search </a> @@ -1662,7 +1677,7 @@ <b>9.2.4.</b> - kNN search using b-Bits Minhash + kNN search using b-Bits MinHash </a> @@ -1682,7 +1697,7 @@ <b>9.3.</b> - MovieLens movie recommendation Tutorial + MovieLens Movie Recommendation Tutorial </a> @@ -1713,7 +1728,7 @@ <b>9.3.2.</b> - Item-based Collaborative Filtering + Item-based collaborative filtering </a> @@ -1758,7 +1773,7 @@ <b>9.3.5.</b> - SLIM for Fast Top-K Recommendation + SLIM for fast top-k recommendation </a> @@ -1773,7 +1788,7 @@ <b>9.3.6.</b> - 10-fold Cross Validation (Matrix Factorization) + 10-fold cross validation (Matrix Factorization) </a> @@ -1878,7 +1893,7 @@ - <li class="header">Part XII - GeoSpatial functions</li> + <li class="header">Part XII - GeoSpatial Functions</li> @@ -1963,7 +1978,7 @@ <b>13.2.1.</b> - a9a Tutorial for DataFrame + a9a tutorial for DataFrame </a> @@ -1978,7 +1993,7 @@ <b>13.2.2.</b> - a9a Tutorial for SQL + a9a tutorial for SQL </a> @@ -2014,7 +2029,7 @@ <b>13.3.1.</b> - E2006-tfidf regression Tutorial for DataFrame + E2006-tfidf regression tutorial for DataFrame </a> @@ -2029,7 +2044,7 @@ <b>13.3.2.</b> - E2006-tfidf regression Tutorial for SQL + E2006-tfidf regression tutorial for SQL </a> @@ -2065,7 +2080,7 @@ <b>13.4.1.</b> - Top-k Join processing + Top-k join processing </a> @@ -2124,25 +2139,10 @@ <li class="chapter " data-level="15.1" > - <a target="_blank" href="https://github.com/maropu/hivemall-spark";> - - - <b>15.1.</b> - - Hivemall on Apache Spark - - </a> - - - - </li> - - <li class="chapter " data-level="15.2" > - <a target="_blank" href="https://github.com/daijyc/hivemall/wiki/PigHome";> - <b>15.2.</b> + <b>15.1.</b> Hivemall on Apache Pig @@ -2631,7 +2631,7 @@ Apache Hivemall is an effort 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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/b8a847fa/userguide/multiclass/iris_scw.html ---------------------------------------------------------------------- diff --git a/userguide/multiclass/iris_scw.html b/userguide/multiclass/iris_scw.html index 207349a..c2b2c0b 100644 --- a/userguide/multiclass/iris_scw.html +++ b/userguide/multiclass/iris_scw.html @@ -221,13 +221,28 @@ </li> - <li class="chapter " data-level="1.3" data-path="../tips/"> + <li class="chapter " data-level="1.3" data-path="../misc/funcs.html"> - <a href="../tips/"> + <a href="../misc/funcs.html"> <b>1.3.</b> + List of Functions + + </a> + + + + </li> + + <li class="chapter " data-level="1.4" data-path="../tips/"> + + <a href="../tips/"> + + + <b>1.4.</b> + Tips for Effective Hivemall </a> @@ -237,12 +252,12 @@ <ul class="articles"> - <li class="chapter " data-level="1.3.1" data-path="../tips/addbias.html"> + <li class="chapter " data-level="1.4.1" data-path="../tips/addbias.html"> <a href="../tips/addbias.html"> - <b>1.3.1.</b> + <b>1.4.1.</b> Explicit add_bias() for better prediction @@ -252,12 +267,12 @@ </li> - <li class="chapter " data-level="1.3.2" data-path="../tips/rand_amplify.html"> + <li class="chapter " data-level="1.4.2" data-path="../tips/rand_amplify.html"> <a href="../tips/rand_amplify.html"> - <b>1.3.2.</b> + <b>1.4.2.</b> Use rand_amplify() to better prediction results @@ -267,14 +282,14 @@ </li> - <li class="chapter " data-level="1.3.3" data-path="../tips/rt_prediction.html"> + <li class="chapter " data-level="1.4.3" data-path="../tips/rt_prediction.html"> <a href="../tips/rt_prediction.html"> - <b>1.3.3.</b> + <b>1.4.3.</b> - Real-time Prediction on RDBMS + Real-time prediction on RDBMS </a> @@ -282,12 +297,12 @@ </li> - <li class="chapter " data-level="1.3.4" data-path="../tips/ensemble_learning.html"> + <li class="chapter " data-level="1.4.4" data-path="../tips/ensemble_learning.html"> <a href="../tips/ensemble_learning.html"> - <b>1.3.4.</b> + <b>1.4.4.</b> Ensemble learning for stable prediction @@ -297,12 +312,12 @@ </li> - <li class="chapter " data-level="1.3.5" data-path="../tips/mixserver.html"> + <li class="chapter " data-level="1.4.5" data-path="../tips/mixserver.html"> <a href="../tips/mixserver.html"> - <b>1.3.5.</b> + <b>1.4.5.</b> Mixing models for a better prediction convergence (MIX server) @@ -312,12 +327,12 @@ </li> - <li class="chapter " data-level="1.3.6" data-path="../tips/emr.html"> + <li class="chapter " data-level="1.4.6" data-path="../tips/emr.html"> <a href="../tips/emr.html"> - <b>1.3.6.</b> + <b>1.4.6.</b> Run Hivemall on Amazon Elastic MapReduce @@ -332,14 +347,14 @@ </li> - <li class="chapter " data-level="1.4" data-path="../tips/general_tips.html"> + <li class="chapter " data-level="1.5" data-path="../tips/general_tips.html"> <a href="../tips/general_tips.html"> - <b>1.4.</b> + <b>1.5.</b> - General Hive/Hadoop tips + General Hive/Hadoop Tips </a> @@ -348,12 +363,12 @@ <ul class="articles"> - <li class="chapter " data-level="1.4.1" data-path="../tips/rowid.html"> + <li class="chapter " data-level="1.5.1" data-path="../tips/rowid.html"> <a href="../tips/rowid.html"> - <b>1.4.1.</b> + <b>1.5.1.</b> Adding rowid for each row @@ -363,12 +378,12 @@ </li> - <li class="chapter " data-level="1.4.2" data-path="../tips/hadoop_tuning.html"> + <li class="chapter " data-level="1.5.2" data-path="../tips/hadoop_tuning.html"> <a href="../tips/hadoop_tuning.html"> - <b>1.4.2.</b> + <b>1.5.2.</b> Hadoop tuning for Hivemall @@ -383,12 +398,12 @@ </li> - <li class="chapter " data-level="1.5" data-path="../troubleshooting/"> + <li class="chapter " data-level="1.6" data-path="../troubleshooting/"> <a href="../troubleshooting/"> - <b>1.5.</b> + <b>1.6.</b> Troubleshooting @@ -399,12 +414,12 @@ <ul class="articles"> - <li class="chapter " data-level="1.5.1" data-path="../troubleshooting/oom.html"> + <li class="chapter " data-level="1.6.1" data-path="../troubleshooting/oom.html"> <a href="../troubleshooting/oom.html"> - <b>1.5.1.</b> + <b>1.6.1.</b> OutOfMemoryError in training @@ -414,14 +429,14 @@ </li> - <li class="chapter " data-level="1.5.2" data-path="../troubleshooting/mapjoin_task_error.html"> + <li class="chapter " data-level="1.6.2" data-path="../troubleshooting/mapjoin_task_error.html"> <a href="../troubleshooting/mapjoin_task_error.html"> - <b>1.5.2.</b> + <b>1.6.2.</b> - SemanticException Generate Map Join Task Error: Cannot serialize object + SemanticException generate map join task error: Cannot serialize object </a> @@ -429,12 +444,12 @@ </li> - <li class="chapter " data-level="1.5.3" data-path="../troubleshooting/asterisk.html"> + <li class="chapter " data-level="1.6.3" data-path="../troubleshooting/asterisk.html"> <a href="../troubleshooting/asterisk.html"> - <b>1.5.3.</b> + <b>1.6.3.</b> Asterisk argument for UDTF does not work @@ -444,12 +459,12 @@ </li> - <li class="chapter " data-level="1.5.4" data-path="../troubleshooting/num_mappers.html"> + <li class="chapter " data-level="1.6.4" data-path="../troubleshooting/num_mappers.html"> <a href="../troubleshooting/num_mappers.html"> - <b>1.5.4.</b> + <b>1.6.4.</b> The number of mappers is less than input splits in Hadoop 2.x @@ -459,14 +474,14 @@ </li> - <li class="chapter " data-level="1.5.5" data-path="../troubleshooting/mapjoin_classcastex.html"> + <li class="chapter " data-level="1.6.5" data-path="../troubleshooting/mapjoin_classcastex.html"> <a href="../troubleshooting/mapjoin_classcastex.html"> - <b>1.5.5.</b> + <b>1.6.5.</b> - Map-side Join causes ClassCastException on Tez + Map-side join causes ClassCastException on Tez </a> @@ -493,7 +508,7 @@ <b>2.1.</b> - List of generic Hivemall functions + List of Generic Hivemall Functions </a> @@ -508,7 +523,7 @@ <b>2.2.</b> - Efficient Top-K query processing + Efficient Top-K Query Processing </a> @@ -620,7 +635,7 @@ <b>3.5.</b> - FEATURE PAIRING + Feature Paring </a> @@ -636,7 +651,7 @@ <b>3.5.1.</b> - Polynomial Features + Polynomial features </a> @@ -656,7 +671,7 @@ <b>3.6.</b> - FEATURE TRANSFORMATION + Feature Transformation </a> @@ -672,7 +687,7 @@ <b>3.6.1.</b> - Feature Vectorization + Feature vectorization </a> @@ -745,7 +760,7 @@ <b>4.1.1.</b> - Area Under the ROC Curve + Area under the ROC curve </a> @@ -780,7 +795,7 @@ <b>4.3.</b> - Regression metrics + Regression Metrics </a> @@ -864,7 +879,7 @@ - <li class="header">Part VI - Binary classification</li> + <li class="header">Part VI - Binary Classification</li> @@ -890,7 +905,7 @@ <b>6.2.</b> - a9a tutorial + a9a Tutorial </a> @@ -936,7 +951,7 @@ <b>6.2.3.</b> - Mini-batch Gradient Descent + Mini-batch gradient descent </a> @@ -956,7 +971,7 @@ <b>6.3.</b> - News20 tutorial + News20 Tutorial </a> @@ -1052,7 +1067,7 @@ <b>6.4.</b> - KDD2010a tutorial + KDD2010a Tutorial </a> @@ -1103,7 +1118,7 @@ <b>6.5.</b> - KDD2010b tutorial + KDD2010b Tutorial </a> @@ -1154,7 +1169,7 @@ <b>6.6.</b> - Webspam tutorial + Webspam Tutorial </a> @@ -1205,7 +1220,7 @@ <b>6.7.</b> - Kaggle Titanic tutorial + Kaggle Titanic Tutorial </a> @@ -1216,7 +1231,7 @@ - <li class="header">Part VII - Multiclass classification</li> + <li class="header">Part VII - Multiclass Classification</li> @@ -1227,7 +1242,7 @@ <b>7.1.</b> - News20 Multiclass tutorial + News20 Multiclass Tutorial </a> @@ -1338,7 +1353,7 @@ <b>7.2.</b> - Iris tutorial + Iris Tutorial </a> @@ -1426,7 +1441,7 @@ <b>8.2.</b> - E2006-tfidf regression tutorial + E2006-tfidf Regression Tutorial </a> @@ -1477,7 +1492,7 @@ <b>8.3.</b> - KDDCup 2012 track 2 CTR prediction tutorial + KDDCup 2012 Track 2 CTR Prediction Tutorial </a> @@ -1523,7 +1538,7 @@ <b>8.3.3.</b> - Logistic Regression with Amplifier + Logistic Regression with amplifier </a> @@ -1581,7 +1596,7 @@ <b>9.1.1.</b> - Item-based Collaborative Filtering + Item-based collaborative filtering </a> @@ -1601,7 +1616,7 @@ <b>9.2.</b> - News20 related article recommendation Tutorial + News20 Related Article Recommendation Tutorial </a> @@ -1632,7 +1647,7 @@ <b>9.2.2.</b> - LSH/Minhash and Jaccard Similarity + LSH/MinHash and Jaccard similarity </a> @@ -1647,7 +1662,7 @@ <b>9.2.3.</b> - LSH/Minhash and Brute-Force Search + LSH/MinHash and brute-force search </a> @@ -1662,7 +1677,7 @@ <b>9.2.4.</b> - kNN search using b-Bits Minhash + kNN search using b-Bits MinHash </a> @@ -1682,7 +1697,7 @@ <b>9.3.</b> - MovieLens movie recommendation Tutorial + MovieLens Movie Recommendation Tutorial </a> @@ -1713,7 +1728,7 @@ <b>9.3.2.</b> - Item-based Collaborative Filtering + Item-based collaborative filtering </a> @@ -1758,7 +1773,7 @@ <b>9.3.5.</b> - SLIM for Fast Top-K Recommendation + SLIM for fast top-k recommendation </a> @@ -1773,7 +1788,7 @@ <b>9.3.6.</b> - 10-fold Cross Validation (Matrix Factorization) + 10-fold cross validation (Matrix Factorization) </a> @@ -1878,7 +1893,7 @@ - <li class="header">Part XII - GeoSpatial functions</li> + <li class="header">Part XII - GeoSpatial Functions</li> @@ -1963,7 +1978,7 @@ <b>13.2.1.</b> - a9a Tutorial for DataFrame + a9a tutorial for DataFrame </a> @@ -1978,7 +1993,7 @@ <b>13.2.2.</b> - a9a Tutorial for SQL + a9a tutorial for SQL </a> @@ -2014,7 +2029,7 @@ <b>13.3.1.</b> - E2006-tfidf regression Tutorial for DataFrame + E2006-tfidf regression tutorial for DataFrame </a> @@ -2029,7 +2044,7 @@ <b>13.3.2.</b> - E2006-tfidf regression Tutorial for SQL + E2006-tfidf regression tutorial for SQL </a> @@ -2065,7 +2080,7 @@ <b>13.4.1.</b> - Top-k Join processing + Top-k join processing </a> @@ -2124,25 +2139,10 @@ <li class="chapter " data-level="15.1" > - <a target="_blank" href="https://github.com/maropu/hivemall-spark";> - - - <b>15.1.</b> - - Hivemall on Apache Spark - - </a> - - - - </li> - - <li class="chapter " data-level="15.2" > - <a target="_blank" href="https://github.com/daijyc/hivemall/wiki/PigHome";> - <b>15.2.</b> + <b>15.1.</b> Hivemall on Apache Pig @@ -2324,7 +2324,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software 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---------------------------------------------------------------------- diff --git a/userguide/multiclass/news20.html b/userguide/multiclass/news20.html index 1c0b3ce..69d87a8 100644 --- a/userguide/multiclass/news20.html +++ b/userguide/multiclass/news20.html @@ -4,7 +4,7 @@ <head> <meta charset="UTF-8"> <meta content="text/html; charset=utf-8" http-equiv="Content-Type"> - <title>News20 Multiclass tutorial · Hivemall User Manual</title> + <title>News20 Multiclass Tutorial · Hivemall User Manual</title> <meta http-equiv="X-UA-Compatible" content="IE=edge" /> <meta name="description" content=""> <meta name="generator" content="GitBook 3.2.3"> @@ -221,13 +221,28 @@ </li> - <li class="chapter " data-level="1.3" data-path="../tips/"> + <li class="chapter " data-level="1.3" data-path="../misc/funcs.html"> - <a href="../tips/"> + <a href="../misc/funcs.html"> <b>1.3.</b> + List of Functions + + </a> + + + + </li> + + <li class="chapter " data-level="1.4" data-path="../tips/"> + + <a href="../tips/"> + + + <b>1.4.</b> + Tips for Effective Hivemall </a> @@ -237,12 +252,12 @@ <ul class="articles"> - <li class="chapter " data-level="1.3.1" data-path="../tips/addbias.html"> + <li class="chapter " data-level="1.4.1" data-path="../tips/addbias.html"> <a href="../tips/addbias.html"> - <b>1.3.1.</b> + <b>1.4.1.</b> Explicit add_bias() for better prediction @@ -252,12 +267,12 @@ </li> - <li class="chapter " data-level="1.3.2" data-path="../tips/rand_amplify.html"> + <li class="chapter " data-level="1.4.2" data-path="../tips/rand_amplify.html"> <a href="../tips/rand_amplify.html"> - <b>1.3.2.</b> + <b>1.4.2.</b> Use rand_amplify() to better prediction results @@ -267,14 +282,14 @@ </li> - <li class="chapter " data-level="1.3.3" data-path="../tips/rt_prediction.html"> + <li class="chapter " data-level="1.4.3" data-path="../tips/rt_prediction.html"> <a href="../tips/rt_prediction.html"> - <b>1.3.3.</b> + <b>1.4.3.</b> - Real-time Prediction on RDBMS + Real-time prediction on RDBMS </a> @@ -282,12 +297,12 @@ </li> - <li class="chapter " data-level="1.3.4" data-path="../tips/ensemble_learning.html"> + <li class="chapter " data-level="1.4.4" data-path="../tips/ensemble_learning.html"> <a href="../tips/ensemble_learning.html"> - <b>1.3.4.</b> + <b>1.4.4.</b> Ensemble learning for stable prediction @@ -297,12 +312,12 @@ </li> - <li class="chapter " data-level="1.3.5" data-path="../tips/mixserver.html"> + <li class="chapter " data-level="1.4.5" data-path="../tips/mixserver.html"> <a href="../tips/mixserver.html"> - <b>1.3.5.</b> + <b>1.4.5.</b> Mixing models for a better prediction convergence (MIX server) @@ -312,12 +327,12 @@ </li> - <li class="chapter " data-level="1.3.6" data-path="../tips/emr.html"> + <li class="chapter " data-level="1.4.6" data-path="../tips/emr.html"> <a href="../tips/emr.html"> - <b>1.3.6.</b> + <b>1.4.6.</b> Run Hivemall on Amazon Elastic MapReduce @@ -332,14 +347,14 @@ </li> - <li class="chapter " data-level="1.4" data-path="../tips/general_tips.html"> + <li class="chapter " data-level="1.5" data-path="../tips/general_tips.html"> <a href="../tips/general_tips.html"> - <b>1.4.</b> + <b>1.5.</b> - General Hive/Hadoop tips + General Hive/Hadoop Tips </a> @@ -348,12 +363,12 @@ <ul class="articles"> - <li class="chapter " data-level="1.4.1" data-path="../tips/rowid.html"> + <li class="chapter " data-level="1.5.1" data-path="../tips/rowid.html"> <a href="../tips/rowid.html"> - <b>1.4.1.</b> + <b>1.5.1.</b> Adding rowid for each row @@ -363,12 +378,12 @@ </li> - <li class="chapter " data-level="1.4.2" data-path="../tips/hadoop_tuning.html"> + <li class="chapter " data-level="1.5.2" data-path="../tips/hadoop_tuning.html"> <a href="../tips/hadoop_tuning.html"> - <b>1.4.2.</b> + <b>1.5.2.</b> Hadoop tuning for Hivemall @@ -383,12 +398,12 @@ </li> - <li class="chapter " data-level="1.5" data-path="../troubleshooting/"> + <li class="chapter " data-level="1.6" data-path="../troubleshooting/"> <a href="../troubleshooting/"> - <b>1.5.</b> + <b>1.6.</b> Troubleshooting @@ -399,12 +414,12 @@ <ul class="articles"> - <li class="chapter " data-level="1.5.1" data-path="../troubleshooting/oom.html"> + <li class="chapter " data-level="1.6.1" data-path="../troubleshooting/oom.html"> <a href="../troubleshooting/oom.html"> - <b>1.5.1.</b> + <b>1.6.1.</b> OutOfMemoryError in training @@ -414,14 +429,14 @@ </li> - <li class="chapter " data-level="1.5.2" data-path="../troubleshooting/mapjoin_task_error.html"> + <li class="chapter " data-level="1.6.2" data-path="../troubleshooting/mapjoin_task_error.html"> <a href="../troubleshooting/mapjoin_task_error.html"> - <b>1.5.2.</b> + <b>1.6.2.</b> - SemanticException Generate Map Join Task Error: Cannot serialize object + SemanticException generate map join task error: Cannot serialize object </a> @@ -429,12 +444,12 @@ </li> - <li class="chapter " data-level="1.5.3" data-path="../troubleshooting/asterisk.html"> + <li class="chapter " data-level="1.6.3" data-path="../troubleshooting/asterisk.html"> <a href="../troubleshooting/asterisk.html"> - <b>1.5.3.</b> + <b>1.6.3.</b> Asterisk argument for UDTF does not work @@ -444,12 +459,12 @@ </li> - <li class="chapter " data-level="1.5.4" data-path="../troubleshooting/num_mappers.html"> + <li class="chapter " data-level="1.6.4" data-path="../troubleshooting/num_mappers.html"> <a href="../troubleshooting/num_mappers.html"> - <b>1.5.4.</b> + <b>1.6.4.</b> The number of mappers is less than input splits in Hadoop 2.x @@ -459,14 +474,14 @@ </li> - <li class="chapter " data-level="1.5.5" data-path="../troubleshooting/mapjoin_classcastex.html"> + <li class="chapter " data-level="1.6.5" data-path="../troubleshooting/mapjoin_classcastex.html"> <a href="../troubleshooting/mapjoin_classcastex.html"> - <b>1.5.5.</b> + <b>1.6.5.</b> - Map-side Join causes ClassCastException on Tez + Map-side join causes ClassCastException on Tez </a> @@ -493,7 +508,7 @@ <b>2.1.</b> - List of generic Hivemall functions + List of Generic Hivemall Functions </a> @@ -508,7 +523,7 @@ <b>2.2.</b> - Efficient Top-K query processing + Efficient Top-K Query Processing </a> @@ -620,7 +635,7 @@ <b>3.5.</b> - FEATURE PAIRING + Feature Paring </a> @@ -636,7 +651,7 @@ <b>3.5.1.</b> - Polynomial Features + Polynomial features </a> @@ -656,7 +671,7 @@ <b>3.6.</b> - FEATURE TRANSFORMATION + Feature Transformation </a> @@ -672,7 +687,7 @@ <b>3.6.1.</b> - Feature Vectorization + Feature vectorization </a> @@ -745,7 +760,7 @@ <b>4.1.1.</b> - Area Under the ROC Curve + Area under the ROC curve </a> @@ -780,7 +795,7 @@ <b>4.3.</b> - Regression metrics + Regression Metrics </a> @@ -864,7 +879,7 @@ - <li class="header">Part VI - Binary classification</li> + <li class="header">Part VI - Binary Classification</li> @@ -890,7 +905,7 @@ <b>6.2.</b> - a9a tutorial + a9a Tutorial </a> @@ -936,7 +951,7 @@ <b>6.2.3.</b> - Mini-batch Gradient Descent + Mini-batch gradient descent </a> @@ -956,7 +971,7 @@ <b>6.3.</b> - News20 tutorial + News20 Tutorial </a> @@ -1052,7 +1067,7 @@ <b>6.4.</b> - KDD2010a tutorial + KDD2010a Tutorial </a> @@ -1103,7 +1118,7 @@ <b>6.5.</b> - KDD2010b tutorial + KDD2010b Tutorial </a> @@ -1154,7 +1169,7 @@ <b>6.6.</b> - Webspam tutorial + Webspam Tutorial </a> @@ -1205,7 +1220,7 @@ <b>6.7.</b> - Kaggle Titanic tutorial + Kaggle Titanic Tutorial </a> @@ -1216,7 +1231,7 @@ - <li class="header">Part VII - Multiclass classification</li> + <li class="header">Part VII - Multiclass Classification</li> @@ -1227,7 +1242,7 @@ <b>7.1.</b> - News20 Multiclass tutorial + News20 Multiclass Tutorial </a> @@ -1338,7 +1353,7 @@ <b>7.2.</b> - Iris tutorial + Iris Tutorial </a> @@ -1426,7 +1441,7 @@ <b>8.2.</b> - E2006-tfidf regression tutorial + E2006-tfidf Regression Tutorial </a> @@ -1477,7 +1492,7 @@ <b>8.3.</b> - KDDCup 2012 track 2 CTR prediction tutorial + KDDCup 2012 Track 2 CTR Prediction Tutorial </a> @@ -1523,7 +1538,7 @@ <b>8.3.3.</b> - Logistic Regression with Amplifier + Logistic Regression with amplifier </a> @@ -1581,7 +1596,7 @@ <b>9.1.1.</b> - Item-based Collaborative Filtering + Item-based collaborative filtering </a> @@ -1601,7 +1616,7 @@ <b>9.2.</b> - News20 related article recommendation Tutorial + News20 Related Article Recommendation Tutorial </a> @@ -1632,7 +1647,7 @@ <b>9.2.2.</b> - LSH/Minhash and Jaccard Similarity + LSH/MinHash and Jaccard similarity </a> @@ -1647,7 +1662,7 @@ <b>9.2.3.</b> - LSH/Minhash and Brute-Force Search + LSH/MinHash and brute-force search </a> @@ -1662,7 +1677,7 @@ <b>9.2.4.</b> - kNN search using b-Bits Minhash + kNN search using b-Bits MinHash </a> @@ -1682,7 +1697,7 @@ <b>9.3.</b> - MovieLens movie recommendation Tutorial + MovieLens Movie Recommendation Tutorial </a> @@ -1713,7 +1728,7 @@ <b>9.3.2.</b> - Item-based Collaborative Filtering + Item-based collaborative filtering </a> @@ -1758,7 +1773,7 @@ <b>9.3.5.</b> - SLIM for Fast Top-K Recommendation + SLIM for fast top-k recommendation </a> @@ -1773,7 +1788,7 @@ <b>9.3.6.</b> - 10-fold Cross Validation (Matrix Factorization) + 10-fold cross validation (Matrix Factorization) </a> @@ -1878,7 +1893,7 @@ - <li class="header">Part XII - GeoSpatial functions</li> + <li class="header">Part XII - GeoSpatial Functions</li> @@ -1963,7 +1978,7 @@ <b>13.2.1.</b> - a9a Tutorial for DataFrame + a9a tutorial for DataFrame </a> @@ -1978,7 +1993,7 @@ <b>13.2.2.</b> - a9a Tutorial for SQL + a9a tutorial for SQL </a> @@ -2014,7 +2029,7 @@ <b>13.3.1.</b> - E2006-tfidf regression Tutorial for DataFrame + E2006-tfidf regression tutorial for DataFrame </a> @@ -2029,7 +2044,7 @@ <b>13.3.2.</b> - E2006-tfidf regression Tutorial for SQL + E2006-tfidf regression tutorial for SQL </a> @@ -2065,7 +2080,7 @@ <b>13.4.1.</b> - Top-k Join processing + Top-k join processing </a> @@ -2124,25 +2139,10 @@ <li class="chapter " data-level="15.1" > - <a target="_blank" href="https://github.com/maropu/hivemall-spark";> - - - <b>15.1.</b> - - Hivemall on Apache 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