SparkQA commented on issue #27245: [WIP][SPARK-29212][ML][PYSPARK] Add common classes without using JVM backend URL: https://github.com/apache/spark/pull/27245#issuecomment-575856476 **[Test build #116969 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/116969/testReport)** for PR 27245 at commit [`bc2ebe8`](https://github.com/apache/spark/commit/bc2ebe8e56eb2be61c2d1577a7b12be171a588f8). * This patch **fails PySpark unit tests**. * This patch merges cleanly. * This patch adds the following public classes _(experimental)_: * `class _PredictorParams(HasLabelCol, HasFeaturesCol, HasPredictionCol):` * `class Predictor(Estimator, _PredictorParams):` * `class PredictionModel(Model, _PredictorParams):` * `class _ClassifierParams(HasRawPredictionCol, _PredictorParams):` * `class Classifier(Predictor, _ClassifierParams):` * `class ClassificationModel(PredictionModel, _ClassifierParams):` * `class _ProbabilisticClassifierParams(HasProbabilityCol, HasThresholds, _ClassifierParams):` * `class ProbabilisticClassifier(Classifier, _ProbabilisticClassifierParams):` * `class ProbabilisticClassificationModel(ClassificationModel,` * `class _JavaClassifier(Classifier, JavaPredictor):` * `class _JavaClassificationModel(ClassificationModel, JavaPredictionModel):` * `class _JavaProbabilisticClassifier(ProbabilisticClassifier, _JavaClassifier):` * `class _JavaProbabilisticClassificationModel(ProbabilisticClassificationModel,` * `class _LinearSVCParams(_ClassifierParams, HasRegParam, HasMaxIter, HasFitIntercept, HasTol,` * `class LinearSVC(_JavaClassifier, _LinearSVCParams, JavaMLWritable, JavaMLReadable):` * `class LinearSVCModel(_JavaClassificationModel, _LinearSVCParams, JavaMLWritable, JavaMLReadable):` * `class _LogisticRegressionParams(_ProbabilisticClassifierParams, HasRegParam,` * `class LogisticRegression(_JavaProbabilisticClassifier, _LogisticRegressionParams, JavaMLWritable,` * `class LogisticRegressionModel(_JavaProbabilisticClassificationModel, _LogisticRegressionParams,` * `class DecisionTreeClassifier(_JavaProbabilisticClassifier, _DecisionTreeClassifierParams,` * `class DecisionTreeClassificationModel(_DecisionTreeModel, _JavaProbabilisticClassificationModel,` * `class RandomForestClassifier(_JavaProbabilisticClassifier, _RandomForestClassifierParams,` * `class RandomForestClassificationModel(_TreeEnsembleModel, _JavaProbabilisticClassificationModel,` * `class GBTClassifier(_JavaProbabilisticClassifier, _GBTClassifierParams,` * `class GBTClassificationModel(_TreeEnsembleModel, _JavaProbabilisticClassificationModel,` * `class _NaiveBayesParams(_PredictorParams, HasWeightCol):` * `class NaiveBayes(_JavaProbabilisticClassifier, _NaiveBayesParams, HasThresholds, HasWeightCol,` * `class NaiveBayesModel(_JavaProbabilisticClassificationModel, _NaiveBayesParams, JavaMLWritable,` * `class _MultilayerPerceptronParams(_ProbabilisticClassifierParams, HasSeed, HasMaxIter,` * `class MultilayerPerceptronClassifier(_JavaProbabilisticClassifier, _MultilayerPerceptronParams,` * `class MultilayerPerceptronClassificationModel(_JavaProbabilisticClassificationModel,` * `class _OneVsRestParams(_ClassifierParams, HasWeightCol):` * `class FMClassifier(_JavaProbabilisticClassifier, _FactorizationMachinesParams, JavaMLWritable,` * `class FMClassificationModel(_JavaProbabilisticClassificationModel, _FactorizationMachinesParams,` * `class Regressor(Predictor, _PredictorParams):` * `class RegressionModel(PredictionModel, _PredictorParams):` * `class _JavaRegressor(Regressor, JavaPredictor):` * `class _JavaRegressionModel(RegressionModel, JavaPredictionModel):` * `class _LinearRegressionParams(_PredictorParams, HasRegParam, HasElasticNetParam, HasMaxIter,` * `class LinearRegression(_JavaRegressor, _LinearRegressionParams, JavaMLWritable, JavaMLReadable):` * `class LinearRegressionModel(_JavaRegressionModel, _LinearRegressionParams, GeneralJavaMLWritable,` * `class DecisionTreeRegressor(_JavaRegressor, _DecisionTreeRegressorParams, JavaMLWritable,` * `class DecisionTreeRegressionModel(` * `class RandomForestRegressor(_JavaRegressor, _RandomForestRegressorParams, JavaMLWritable,` * `class RandomForestRegressionModel(` * `class GBTRegressor(_JavaRegressor, _GBTRegressorParams, JavaMLWritable, JavaMLReadable):` * `class GBTRegressionModel(` * `class _AFTSurvivalRegressionParams(_PredictorParams, HasMaxIter, HasTol, HasFitIntercept,` * `class AFTSurvivalRegression(_JavaRegressor, _AFTSurvivalRegressionParams,` * `class AFTSurvivalRegressionModel(_JavaRegressionModel, _AFTSurvivalRegressionParams,` * `class _GeneralizedLinearRegressionParams(_PredictorParams, HasFitIntercept, HasMaxIter,` * `class GeneralizedLinearRegression(_JavaRegressor, _GeneralizedLinearRegressionParams,` * `class GeneralizedLinearRegressionModel(_JavaRegressionModel, _GeneralizedLinearRegressionParams,` * `class _FactorizationMachinesParams(_PredictorParams, HasMaxIter, HasStepSize, HasTol,` * `class FMRegressor(_JavaRegressor, _FactorizationMachinesParams, JavaMLWritable, JavaMLReadable):` * `class FMRegressionModel(_JavaRegressionModel, _FactorizationMachinesParams, JavaMLWritable,` * `class JavaPredictor(Predictor, JavaEstimator, _PredictorParams):` * `class JavaPredictionModel(PredictionModel, JavaModel, _PredictorParams):`
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