SparkQA commented on issue #26142: [SPARK-29381][FOLLOWUP][PYTHON][ML] Add 'private' _XXXParams classes for classification & regression URL: https://github.com/apache/spark/pull/26142#issuecomment-542803192 **[Test build #112181 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/112181/testReport)** for PR 26142 at commit [`30c4b24`](https://github.com/apache/spark/commit/30c4b2477ee1ddd61f85a901111aa7ce44d81823). * This patch passes all tests. * This patch merges cleanly. * This patch adds the following public classes _(experimental)_: * `class _LinearSVCParams(_JavaClassifierParams, HasRegParam, HasMaxIter, HasFitIntercept, HasTol,` * `class LinearSVC(JavaClassifier, _LinearSVCParams, JavaMLWritable, JavaMLReadable):` * `class LinearSVCModel(JavaClassificationModel, _LinearSVCParams, JavaMLWritable, JavaMLReadable):` * `class _LogisticRegressionParams(_JavaProbabilisticClassifierParams, HasRegParam,` * `class LogisticRegression(JavaProbabilisticClassifier, _LogisticRegressionParams, JavaMLWritable,` * `class LogisticRegressionModel(JavaProbabilisticClassificationModel, _LogisticRegressionParams,` * `class _NaiveBayesParams(_JavaPredictorParams, HasWeightCol):` * `class NaiveBayes(JavaProbabilisticClassifier, _NaiveBayesParams, HasThresholds, HasWeightCol,` * `class NaiveBayesModel(JavaProbabilisticClassificationModel, _NaiveBayesParams, JavaMLWritable,` * `class _MultilayerPerceptronParams(_JavaProbabilisticClassifierParams, HasSeed, HasMaxIter,` * `class MultilayerPerceptronClassifier(JavaProbabilisticClassifier, _MultilayerPerceptronParams,` * `class _LinearRegressionParams(_JavaPredictorParams, HasRegParam, HasElasticNetParam, HasMaxIter,` * `class LinearRegression(JavaPredictor, _LinearRegressionParams, JavaMLWritable, JavaMLReadable):` * `class LinearRegressionModel(JavaPredictionModel, _LinearRegressionParams, GeneralJavaMLWritable,` * `class _IsotonicRegressionParams(HasFeaturesCol, HasLabelCol, HasPredictionCol, HasWeightCol):` * `class IsotonicRegression(JavaEstimator, _IsotonicRegressionParams, HasWeightCol,` * `class IsotonicRegressionModel(JavaModel, _IsotonicRegressionParams, JavaMLWritable,` * `class _GeneralizedLinearRegressionParams(_JavaPredictorParams, HasFitIntercept, HasMaxIter,` * `class GeneralizedLinearRegression(JavaPredictor, _GeneralizedLinearRegressionParams,` * `class GeneralizedLinearRegressionModel(JavaPredictionModel, _GeneralizedLinearRegressionParams,`
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