@@ -81,7 +81,20 @@ object MimaExcludes {
8181 ) ++ Seq (
8282 // SPARK-5166 Spark SQL API stabilization
8383 ProblemFilters .exclude[IncompatibleMethTypeProblem ](" org.apache.spark.ml.Transformer.transform" ),
84- ProblemFilters .exclude[IncompatibleMethTypeProblem ](" org.apache.spark.ml.Estimator.fit" )
84+ ProblemFilters .exclude[IncompatibleMethTypeProblem ](" org.apache.spark.ml.Estimator.fit" ),
85+ ProblemFilters .exclude[MissingMethodProblem ](" org.apache.spark.ml.Transformer.transform" ),
86+ ProblemFilters .exclude[IncompatibleMethTypeProblem ](" org.apache.spark.ml.Pipeline.fit" ),
87+ ProblemFilters .exclude[IncompatibleMethTypeProblem ](" org.apache.spark.ml.PipelineModel.transform" ),
88+ ProblemFilters .exclude[MissingMethodProblem ](" org.apache.spark.ml.Estimator.fit" ),
89+ ProblemFilters .exclude[IncompatibleMethTypeProblem ](" org.apache.spark.ml.Evaluator.evaluate" ),
90+ ProblemFilters .exclude[MissingMethodProblem ](" org.apache.spark.ml.Evaluator.evaluate" ),
91+ ProblemFilters .exclude[IncompatibleMethTypeProblem ](" org.apache.spark.ml.tuning.CrossValidator.fit" ),
92+ ProblemFilters .exclude[IncompatibleMethTypeProblem ](" org.apache.spark.ml.tuning.CrossValidatorModel.transform" ),
93+ ProblemFilters .exclude[IncompatibleMethTypeProblem ](" org.apache.spark.ml.feature.StandardScaler.fit" ),
94+ ProblemFilters .exclude[IncompatibleMethTypeProblem ](" org.apache.spark.ml.feature.StandardScalerModel.transform" ),
95+ ProblemFilters .exclude[IncompatibleMethTypeProblem ](" org.apache.spark.ml.classification.LogisticRegressionModel.transform" ),
96+ ProblemFilters .exclude[IncompatibleMethTypeProblem ](" org.apache.spark.ml.classification.LogisticRegression.fit" ),
97+ ProblemFilters .exclude[IncompatibleMethTypeProblem ](" org.apache.spark.ml.evaluation.BinaryClassificationEvaluator.evaluate" )
8598 ) ++ Seq (
8699 // SPARK-5270
87100 ProblemFilters .exclude[MissingMethodProblem ](
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