{"push_id":844756041,"size":11,"distinct_size":11,"ref":"refs/heads/master","head":"20dfd46743401a528b70dfb7862e50ce9a3f8e02","before":"b960a890561eaf3795b93c621bd95be81e56f5b7","commits":[{"sha":"d9c6039897236c3f1e4503aa95c5c9b07b32eadd","author":{"email":"50c4b4c4c26f83ee4bbc45a85db1c3c80b5aecdb@intel.com","name":"Cheng Hao"},"message":"[SPARK-10484] [SQL] Optimize the cartesian join with broadcast join for some cases\n\nIn some cases, we can broadcast the smaller relation in cartesian join, which improve the performance significantly.\n\nAuthor: Cheng Hao <hao.cheng@intel.com>\n\nCloses #8652 from chenghao-intel/cartesian.","distinct":true,"url":"https://api.github.com/repos/cybermaster/spark/commits/d9c6039897236c3f1e4503aa95c5c9b07b32eadd"},{"sha":"826e1e304b57abbc56b8b7ffd663d53942ab3c7c","author":{"email":"291c18f3fb7528c712d9098b0e50a515ea0b91d5@cloudera.com","name":"Sean Owen"},"message":"[SPARK-11302][MLLIB] 2) Multivariate Gaussian Model with Covariance matrix returns incorrect answer in some cases\n\nFix computation of root-sigma-inverse in multivariate Gaussian; add a test and fix related Python mixture model test.\n\nSupersedes https://github.com/apache/spark/pull/9293\n\nAuthor: Sean Owen <sowen@cloudera.com>\n\nCloses #9309 from srowen/SPARK-11302.2.","distinct":true,"url":"https://api.github.com/repos/cybermaster/spark/commits/826e1e304b57abbc56b8b7ffd663d53942ab3c7c"},{"sha":"82c1c5772817785709b0289f7d836beba812c791","author":{"email":"9616cf314f60cbadfd3d5d51110130ad7923defb@databricks.com","name":"Xiangrui Meng"},"message":"[MINOR][ML] fix compile warns\n\nThis fixes some compile time warnings.\n\nAuthor: Xiangrui Meng <meng@databricks.com>\n\nCloses #9319 from mengxr/mllib-compile-warn-20151027.","distinct":true,"url":"https://api.github.com/repos/cybermaster/spark/commits/82c1c5772817785709b0289f7d836beba812c791"},{"sha":"5f1cee6f158adb1f9f485ed1d529c56bace68adc","author":{"email":"0b0deb5eb3f500d85a72e7cd9257ea267c74c59b@us.ibm.com","name":"Nakul Jindal"},"message":"[SPARK-11332] [ML] Refactored to use ml.feature.Instance instead of WeightedLeastSquare.Instance\n\nWeightedLeastSquares now uses the common Instance class in ml.feature instead of a private one.\n\nAuthor: Nakul Jindal <njindal@us.ibm.com>\n\nCloses #9325 from nakul02/SPARK-11332_refactor_WeightedLeastSquares_dot_Instance.","distinct":true,"url":"https://api.github.com/repos/cybermaster/spark/commits/5f1cee6f158adb1f9f485ed1d529c56bace68adc"},{"sha":"075ce4914fdcbbcc7286c3c30cb940ed28d474d2","author":{"email":"563f5923eae9a92c8a3f34a26b67fa348a303ed1@databricks.com","name":"Wenchen Fan"},"message":"[SPARK-11313][SQL] implement cogroup on DataSets (support 2 datasets)\n\nA simpler version of https://github.com/apache/spark/pull/9279, only support 2 datasets.\n\nAuthor: Wenchen Fan <wenchen@databricks.com>\n\nCloses #9324 from cloud-fan/cogroup2.","distinct":true,"url":"https://api.github.com/repos/cybermaster/spark/commits/075ce4914fdcbbcc7286c3c30cb940ed28d474d2"},{"sha":"fd9e345ceeff385ba614a16d478097650caa98d0","author":{"email":"b224c921725891305d717e8367b0474badb9f3be@gmail.com","name":"Mageswaran.D"},"message":"Typo in mllib-evaluation-metrics.md\n\nRecall by threshold snippet was using \"precisionByThreshold\"\n\nAuthor: Mageswaran.D <mageswaran1989@gmail.com>\n\nCloses #9333 from Mageswaran1989/Typo_in_mllib-evaluation-metrics.md.","distinct":true,"url":"https://api.github.com/repos/cybermaster/spark/commits/fd9e345ceeff385ba614a16d478097650caa98d0"},{"sha":"fba9e95452ca0a9b589bc14b27c750c69f482b8d","author":{"email":"452ae006f36be6c70342f33f64bb6f6eb552689c@gmail.com","name":"Yanbo Liang"},"message":"[SPARK-11369][ML][R] SparkR glm should support setting standardize\n\nSparkR glm currently support :\n```formula, family = c(“gaussian”, “binomial”), data, lambda = 0, alpha = 0```\nWe should also support setting standardize which has been defined at [design documentation](https://docs.google.com/document/d/10NZNSEurN2EdWM31uFYsgayIPfCFHiuIu3pCWrUmP_c/edit)\n\nAuthor: Yanbo Liang <ybliang8@gmail.com>\n\nCloses #9331 from yanboliang/spark-11369.","distinct":true,"url":"https://api.github.com/repos/cybermaster/spark/commits/fba9e95452ca0a9b589bc14b27c750c69f482b8d"},{"sha":"f92b7b98e9998a6069996cc66ca26cbfa695fce5","author":{"email":"452ae006f36be6c70342f33f64bb6f6eb552689c@gmail.com","name":"Yanbo Liang"},"message":"[SPARK-11367][ML][PYSPARK] Python LinearRegression should support setting solver\n\n[SPARK-10668](https://issues.apache.org/jira/browse/SPARK-10668) has provided ```WeightedLeastSquares``` solver(\"normal\") in ```LinearRegression``` with L2 regularization in Scala and R, Python ML ```LinearRegression``` should also support setting solver(\"auto\", \"normal\", \"l-bfgs\")\n\nAuthor: Yanbo Liang <ybliang8@gmail.com>\n\nCloses #9328 from yanboliang/spark-11367.","distinct":true,"url":"https://api.github.com/repos/cybermaster/spark/commits/f92b7b98e9998a6069996cc66ca26cbfa695fce5"},{"sha":"032748bb9add096e4691551ee73834f3e5363dd5","author":{"email":"17b9e1c64588c7fa6419b4d29dc1f4426279ba01@databricks.com","name":"Michael Armbrust"},"message":"[SPARK-11377] [SQL] withNewChildren should not convert StructType to Seq\n\nThis is minor, but I ran into while writing Datasets and while it wasn't needed for the final solution, it was super confusing so we should fix it.\n\nBasically we recurse into `Seq` to see if they have children.  This breaks because we don't preserve the original subclass of `Seq` (and `StructType <:< Seq[StructField]`).  Since a struct can never contain children, lets just not recurse into it.\n\nAuthor: Michael Armbrust <michael@databricks.com>\n\nCloses #9334 from marmbrus/structMakeCopy.","distinct":true,"url":"https://api.github.com/repos/cybermaster/spark/commits/032748bb9add096e4691551ee73834f3e5363dd5"},{"sha":"5aa05219118e3d3525fb703a4716ae8e04f3da72","author":{"email":"c9d35a384bc579d1c6c8c055f2a2b5c04e11b521@databricks.com","name":"Reynold Xin"},"message":"[SPARK-11292] [SQL] Python API for text data source\n\nAdds DataFrameReader.text and DataFrameWriter.text.\n\nAuthor: Reynold Xin <rxin@databricks.com>\n\nCloses #9259 from rxin/SPARK-11292.","distinct":true,"url":"https://api.github.com/repos/cybermaster/spark/commits/5aa05219118e3d3525fb703a4716ae8e04f3da72"},{"sha":"20dfd46743401a528b70dfb7862e50ce9a3f8e02","author":{"email":"d24118b4297e1ecf0c990d6935f5f9e6e4fd7701@appier.com","name":"Liang-Chi Hsieh"},"message":"[SPARK-11363] [SQL] LeftSemiJoin should be LeftSemi in SparkStrategies\n\nJIRA: https://issues.apache.org/jira/browse/SPARK-11363\n\nIn SparkStrategies some places use LeftSemiJoin. It should be LeftSemi.\n\ncc chenghao-intel liancheng\n\nAuthor: Liang-Chi Hsieh <viirya@appier.com>\n\nCloses #9318 from viirya/no-left-semi-join.","distinct":true,"url":"https://api.github.com/repos/cybermaster/spark/commits/20dfd46743401a528b70dfb7862e50ce9a3f8e02"}]}