SparkQA commented on issue #25908: [SPARK-29143][PYTHON][ML] Pyspark feature models support column setters/getters URL: https://github.com/apache/spark/pull/25908#issuecomment-535608857 **[Test build #111437 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/111437/testReport)** for PR 25908 at commit [`425959e`](https://github.com/apache/spark/commit/425959e49655bbb3c8138a0a2f234eba5a09c20d). * This patch passes all tests. * This patch merges cleanly. * This patch adds the following public classes _(experimental)_: * `class _LSHParams(HasInputCol, HasOutputCol):` * `class LSH(JavaEstimator, _LSHParams, JavaMLReadable, JavaMLWritable):` * `class LSHModel(JavaModel, _LSHParams):` * `class _BucketedRandomProjectionLSHParams():` * `class BucketedRandomProjectionLSH(LSH, _BucketedRandomProjectionLSHParams,` * `class BucketedRandomProjectionLSHModel(LSHModel, _BucketedRandomProjectionLSHParams, JavaMLReadable,` * `class _IDFParams(HasInputCol, HasOutputCol):` * `class IDF(JavaEstimator, _IDFParams, JavaMLReadable, JavaMLWritable):` * `class IDFModel(JavaModel, _IDFParams, JavaMLReadable, JavaMLWritable):` * `class _ImputerParams(HasInputCols, HasOutputCols):` * `class Imputer(JavaEstimator, _ImputerParams, JavaMLReadable, JavaMLWritable):` * `class ImputerModel(JavaModel, _ImputerParams, JavaMLReadable, JavaMLWritable):` * `class _MaxAbsScalerParams(HasInputCol, HasOutputCol):` * `class MaxAbsScaler(JavaEstimator, _MaxAbsScalerParams, JavaMLReadable, JavaMLWritable):` * `class MaxAbsScalerModel(JavaModel, _MaxAbsScalerParams, JavaMLReadable, JavaMLWritable):` * `class MinHashLSH(JavaEstimator, _LSHParams, HasInputCol, HasOutputCol, HasSeed,` * `class _MinMaxScalerParams(HasInputCol, HasOutputCol):` * `class MinMaxScaler(JavaEstimator, _MinMaxScalerParams, JavaMLReadable, JavaMLWritable):` * `class MinMaxScalerModel(JavaModel, _MinMaxScalerParams, JavaMLReadable, JavaMLWritable):` * `class _OneHotEncoderParams(HasInputCols, HasOutputCols, HasHandleInvalid):` * `class OneHotEncoder(JavaEstimator, _OneHotEncoderParams, JavaMLReadable, JavaMLWritable):` * `class OneHotEncoderModel(JavaModel, _OneHotEncoderParams, JavaMLReadable, JavaMLWritable):` * `class _RobustScalerParams(HasInputCol, HasOutputCol):` * `class RobustScaler(JavaEstimator, _RobustScalerParams, JavaMLReadable, JavaMLWritable):` * `class RobustScalerModel(JavaModel, _RobustScalerParams, JavaMLReadable, JavaMLWritable):` * `class _StandardScalerParams(HasInputCol, HasOutputCol):` * `class StandardScaler(JavaEstimator, _StandardScalerParams, JavaMLReadable, JavaMLWritable):` * `class StandardScalerModel(JavaModel, _StandardScalerParams, JavaMLReadable, JavaMLWritable):` * `class _VectorIndexerParams(HasInputCol, HasOutputCol, HasHandleInvalid):` * `class VectorIndexer(JavaEstimator, _VectorIndexerParams, JavaMLReadable, JavaMLWritable):` * `class VectorIndexerModel(JavaModel, _VectorIndexerParams, JavaMLReadable, JavaMLWritable):` * `class _Word2VecParams(HasStepSize, HasMaxIter, HasSeed, HasInputCol, HasOutputCol):` * `class Word2Vec(JavaEstimator, _Word2VecParams, JavaMLReadable, JavaMLWritable):` * `class Word2VecModel(JavaModel, _Word2VecParams, JavaMLReadable, JavaMLWritable):` * `class _PCAParams(HasInputCol, HasOutputCol):` * `class PCA(JavaEstimator, _PCAParams, JavaMLReadable, JavaMLWritable):` * `class PCAModel(JavaModel, _PCAParams, JavaMLReadable, JavaMLWritable):` * `class _RFormulaParams(HasFeaturesCol, HasLabelCol, HasHandleInvalid):` * `class RFormula(JavaEstimator, _RFormulaParams, JavaMLReadable, JavaMLWritable):` * `class RFormulaModel(JavaModel, _RFormulaParams, JavaMLReadable, JavaMLWritable):` * `class _ChiSqSelectorParams(HasFeaturesCol, HasOutputCol, HasLabelCol):` * `class ChiSqSelector(JavaEstimator, _ChiSqSelectorParams, JavaMLReadable, JavaMLWritable):` * `class ChiSqSelectorModel(JavaModel, _ChiSqSelectorParams, JavaMLReadable, JavaMLWritable):`
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