fix entrypoint catalog test.

Author: codemzs

test/BaselineOutput/Common/EntryPoints/core_ep-list.tsv

@@ -32,13 +32,13 @@ Models.RegressionPipelineEnsemble	Combine regression models into an ensemble	Mic
 Models.Summarizer	Summarize a linear regression predictor.	Microsoft.ML.EntryPoints.SummarizePredictor	Summarize	Microsoft.ML.EntryPoints.SummarizePredictor+Input	Microsoft.ML.EntryPoints.CommonOutputs+SummaryOutput
 Models.TrainTestEvaluator	General train test for any supported evaluator	Microsoft.ML.EntryPoints.TrainTestMacro	TrainTest	Microsoft.ML.EntryPoints.TrainTestMacro+Arguments	Microsoft.ML.EntryPoints.CommonOutputs+MacroOutput`1[Microsoft.ML.EntryPoints.TrainTestMacro+Output]
 TimeSeriesProcessingEntryPoints.ExponentialAverage	Applies a Exponential average on a time series.	Microsoft.ML.TimeSeriesProcessing.TimeSeriesProcessingEntryPoints	ExponentialAverage	Microsoft.ML.TimeSeriesProcessing.ExponentialAverageTransform+Arguments	Microsoft.ML.EntryPoints.CommonOutputs+TransformOutput
-TimeSeriesProcessingEntryPoints.IidChangePointDetector	This transform detects the change-points in an i.i.d. sequence using adaptive kernel density estimation and martingales.	Microsoft.ML.TimeSeriesProcessing.TimeSeriesProcessingEntryPoints	IidChangePointDetector	Microsoft.ML.TimeSeriesProcessing.IidChangePointDetector+Arguments	Microsoft.ML.EntryPoints.CommonOutputs+TransformOutput
-TimeSeriesProcessingEntryPoints.IidSpikeDetector	This transform detects the spikes in a i.i.d. sequence using adaptive kernel density estimation.	Microsoft.ML.TimeSeriesProcessing.TimeSeriesProcessingEntryPoints	IidSpikeDetector	Microsoft.ML.TimeSeriesProcessing.IidSpikeDetector+Arguments	Microsoft.ML.EntryPoints.CommonOutputs+TransformOutput
+TimeSeriesProcessingEntryPoints.IidChangePointDetector	This transform detects the change-points in an i.i.d. sequence using adaptive kernel density estimation and martingales.	Microsoft.ML.TimeSeriesProcessing.TimeSeriesProcessingEntryPoints	IidChangePointDetector	Microsoft.ML.TimeSeriesProcessing.IidChangePointDetector+Options	Microsoft.ML.EntryPoints.CommonOutputs+TransformOutput
+TimeSeriesProcessingEntryPoints.IidSpikeDetector	This transform detects the spikes in a i.i.d. sequence using adaptive kernel density estimation.	Microsoft.ML.TimeSeriesProcessing.TimeSeriesProcessingEntryPoints	IidSpikeDetector	Microsoft.ML.TimeSeriesProcessing.IidSpikeDetector+Options	Microsoft.ML.EntryPoints.CommonOutputs+TransformOutput
 TimeSeriesProcessingEntryPoints.PercentileThresholdTransform	Detects the values of time-series that are in the top percentile of the sliding window.	Microsoft.ML.TimeSeriesProcessing.TimeSeriesProcessingEntryPoints	PercentileThresholdTransform	Microsoft.ML.TimeSeriesProcessing.PercentileThresholdTransform+Arguments	Microsoft.ML.EntryPoints.CommonOutputs+TransformOutput
 TimeSeriesProcessingEntryPoints.PValueTransform	This P-Value transform calculates the p-value of the current input in the sequence with regard to the values in the sliding window.	Microsoft.ML.TimeSeriesProcessing.TimeSeriesProcessingEntryPoints	PValueTransform	Microsoft.ML.TimeSeriesProcessing.PValueTransform+Arguments	Microsoft.ML.EntryPoints.CommonOutputs+TransformOutput
 TimeSeriesProcessingEntryPoints.SlidingWindowTransform	Returns the last values for a time series [y(t-d-l+1), y(t-d-l+2), ..., y(t-l-1), y(t-l)] where d is the size of the window, l the lag and y is a Float.	Microsoft.ML.TimeSeriesProcessing.TimeSeriesProcessingEntryPoints	SlidingWindowTransform	Microsoft.ML.TimeSeriesProcessing.SlidingWindowTransformBase`1+Arguments[System.Single]	Microsoft.ML.EntryPoints.CommonOutputs+TransformOutput
-TimeSeriesProcessingEntryPoints.SsaChangePointDetector	This transform detects the change-points in a seasonal time-series using Singular Spectrum Analysis (SSA).	Microsoft.ML.TimeSeriesProcessing.TimeSeriesProcessingEntryPoints	SsaChangePointDetector	Microsoft.ML.TimeSeriesProcessing.SsaChangePointDetector+Arguments	Microsoft.ML.EntryPoints.CommonOutputs+TransformOutput
-TimeSeriesProcessingEntryPoints.SsaSpikeDetector	This transform detects the spikes in a seasonal time-series using Singular Spectrum Analysis (SSA).	Microsoft.ML.TimeSeriesProcessing.TimeSeriesProcessingEntryPoints	SsaSpikeDetector	Microsoft.ML.TimeSeriesProcessing.SsaSpikeDetector+Arguments	Microsoft.ML.EntryPoints.CommonOutputs+TransformOutput
+TimeSeriesProcessingEntryPoints.SsaChangePointDetector	This transform detects the change-points in a seasonal time-series using Singular Spectrum Analysis (SSA).	Microsoft.ML.TimeSeriesProcessing.TimeSeriesProcessingEntryPoints	SsaChangePointDetector	Microsoft.ML.TimeSeriesProcessing.SsaChangePointDetector+Options	Microsoft.ML.EntryPoints.CommonOutputs+TransformOutput
+TimeSeriesProcessingEntryPoints.SsaSpikeDetector	This transform detects the spikes in a seasonal time-series using Singular Spectrum Analysis (SSA).	Microsoft.ML.TimeSeriesProcessing.TimeSeriesProcessingEntryPoints	SsaSpikeDetector	Microsoft.ML.TimeSeriesProcessing.SsaSpikeDetector+Options	Microsoft.ML.EntryPoints.CommonOutputs+TransformOutput
 Trainers.AveragedPerceptronBinaryClassifier	Averaged Perceptron Binary Classifier.	Microsoft.ML.Trainers.Online.AveragedPerceptronTrainer	TrainBinary	Microsoft.ML.Trainers.Online.AveragedPerceptronTrainer+Options	Microsoft.ML.EntryPoints.CommonOutputs+BinaryClassificationOutput
 Trainers.EnsembleBinaryClassifier	Train binary ensemble.	Microsoft.ML.Ensemble.EntryPoints.Ensemble	CreateBinaryEnsemble	Microsoft.ML.Ensemble.EnsembleTrainer+Arguments	Microsoft.ML.EntryPoints.CommonOutputs+BinaryClassificationOutput
 Trainers.EnsembleClassification	Train multiclass ensemble.	Microsoft.ML.Ensemble.EntryPoints.Ensemble	CreateMultiClassEnsemble	Microsoft.ML.Ensemble.MulticlassDataPartitionEnsembleTrainer+Arguments	Microsoft.ML.EntryPoints.CommonOutputs+MulticlassClassificationOutput