Github user jkbradley commented on a diff in the pull request: https://github.com/apache/spark/pull/10186#discussion_r49406988 --- Diff: python/pyspark/ml/feature.py --- @@ -2093,6 +2093,95 @@ class RFormulaModel(JavaModel): """ +@inherit_doc +class ChiSqSelector(JavaEstimator, HasFeaturesCol, HasOutputCol, HasLabelCol): + """ + .. note:: Experimental + + Chi-Squared feature selection, which selects categorical features to use for predicting a + categorical label. + + >>> from pyspark.mllib.linalg import Vectors + >>> df = sqlContext.createDataFrame( + ... [(Vectors.dense([0.0, 0.0, 18.0, 1.0]), 1.0), + ... (Vectors.dense([0.0, 1.0, 12.0, 0.0]), 0.0), + ... (Vectors.dense([1.0, 0.0, 15.0, 0.1]), 0.0)], + ... ["features", "label"]) + >>> selector = ChiSqSelector(numTopFeatures=1, outputCol="selectedFeatures") + >>> model = selector.fit(df) + >>> model.transform(df).collect()[0].selectedFeatures + DenseVector([1.0]) + >>> model.transform(df).collect()[1].selectedFeatures + DenseVector([0.0]) + >>> model.transform(df).collect()[2].selectedFeatures + DenseVector([0.1]) + + .. versionadded:: 2.2.0 --- End diff -- Should be 2.0.0 (same issue elsewhere)
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