keeping the acronym in the name, but not in documentation

Author: sfilipi

docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/TimeSeries/SingularSpectrumAnalysisDetectChangePoint.cs renamed to docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/TimeSeries/SsaDetectChangePoint.cs

@@ -6,7 +6,7 @@
 
 namespace Microsoft.ML.Samples.Dynamic
 {
-    public static class SingularSpectrumAnalysisDetectChangePoint
+    public static class SsaDetectChangePoint
     {
         class ChangePointPrediction
         {
@@ -54,7 +54,7 @@ public static void Example()
             var outputColumnName = nameof(ChangePointPrediction.Prediction);
 
             // The transformed data.
-            var transformedData = ml.Transforms.SingularSpectrumAnalysisDetectChangePoint(outputColumnName, inputColumnName, 95, 8, TrainingSize, SeasonalitySize + 1).Fit(dataView).Transform(dataView);
+            var transformedData = ml.Transforms.SsaDetectChangePoint(outputColumnName, inputColumnName, 95, 8, TrainingSize, SeasonalitySize + 1).Fit(dataView).Transform(dataView);
 
             // Getting the data of the newly created column as an IEnumerable of ChangePointPrediction.
             var predictionColumn = ml.Data.CreateEnumerable<ChangePointPrediction>(transformedData, reuseRowObject: false);
@@ -115,7 +115,7 @@ public static void SsaChangePointDetectorPrediction()
             var outputColumnName = nameof(ChangePointPrediction.Prediction);
 
             // Train the change point detector.
-            ITransformer model = ml.Transforms.SingularSpectrumAnalysisDetectChangePoint(outputColumnName, inputColumnName, 95, 8, TrainingSize, SeasonalitySize + 1).Fit(dataView);
+            ITransformer model = ml.Transforms.SsaDetectChangePoint(outputColumnName, inputColumnName, 95, 8, TrainingSize, SeasonalitySize + 1).Fit(dataView);
 
             // Create a prediction engine from the model for feeding new data.
             var engine = model.CreateTimeSeriesPredictionFunction<SsaChangePointData, ChangePointPrediction>(ml);

docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/TimeSeries/SingularSpectrumAnalysisDetectSpike.cs renamed to docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/TimeSeries/SsaDetectSpike.cs

@@ -6,7 +6,7 @@
 
 namespace Microsoft.ML.Samples.Dynamic
 {
-    public static class SingularSpectrumAnalysisDetectSpike
+    public static class SsaDetectSpike
     {
         class SsaSpikeData
         {
@@ -55,7 +55,7 @@ public static void SsaSpikeDetectorTransform()
             var outputColumnName = nameof(SsaSpikePrediction.Prediction);
 
             // The transformed data.
-            var transformedData = ml.Transforms.SingularSpectrumAnalysisDetectSpike(outputColumnName, inputColumnName, 95, 8, TrainingSize, SeasonalitySize + 1).Fit(dataView).Transform(dataView);
+            var transformedData = ml.Transforms.SsaDetectSpike(outputColumnName, inputColumnName, 95, 8, TrainingSize, SeasonalitySize + 1).Fit(dataView).Transform(dataView);
 
             // Getting the data of the newly created column as an IEnumerable of SsaSpikePrediction.
             var predictionColumn = ml.Data.CreateEnumerable<SsaSpikePrediction>(transformedData, reuseRowObject: false);
@@ -117,7 +117,7 @@ public static void SsaSpikeDetectorPrediction()
             var outputColumnName = nameof(SsaSpikePrediction.Prediction);
 
             // Train the change point detector.
-            ITransformer model = ml.Transforms.SingularSpectrumAnalysisDetectSpike(outputColumnName, inputColumnName, 95, 8, TrainingSize, SeasonalitySize + 1).Fit(dataView);
+            ITransformer model = ml.Transforms.SsaDetectSpike(outputColumnName, inputColumnName, 95, 8, TrainingSize, SeasonalitySize + 1).Fit(dataView);
 
             // Create a prediction engine from the model for feeding new data.
             var engine = model.CreateTimeSeriesPredictionFunction<SsaSpikeData, SsaSpikePrediction>(ml);

src/Microsoft.ML.TimeSeries.StaticPipe/TimeSeriesStatic.cs

@@ -200,7 +200,7 @@ public override IEstimator<ITransformer> Reconcile(IHostEnvironment env,
             {
                 Contracts.Assert(toOutput.Length == 1);
                 var outCol = (OutColumn)toOutput[0];
-                return new MLContext().Transforms.SingularSpectrumAnalysisDetectChangePoint(
+                return new MLContext().Transforms.SsaDetectChangePoint(
                     outputNames[outCol],
                     inputNames[outCol.Input],
                     _confidence,
@@ -282,7 +282,7 @@ public override IEstimator<ITransformer> Reconcile(IHostEnvironment env,
             {
                 Contracts.Assert(toOutput.Length == 1);
                 var outCol = (OutColumn)toOutput[0];
-                return new MLContext().Transforms.SingularSpectrumAnalysisDetectSpike(
+                return new MLContext().Transforms.SsaDetectSpike(
                     outputNames[outCol],
                     inputNames[outCol.Input],
                     _confidence,

src/Microsoft.ML.TimeSeries/ExtensionsCatalog.cs

@@ -24,7 +24,7 @@ public static class TimeSeriesCatalog
         /// <example>
         /// <format type="text/markdown">
         /// <![CDATA[
-        /// [!code-csharp[DetectIidChangePoint](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/TimeSeries/DetectIndependentIdenticallyDistributedChangePoint.cs)]
+        /// [!code-csharp[DetectIidChangePoint](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/TimeSeries/DetectIidChangePoint.cs)]
         /// ]]>
         /// </format>
         /// </example>
@@ -45,7 +45,7 @@ public static IidChangePointEstimator DetectIidChangePoint(this TransformsCatalo
         /// <example>
         /// <format type="text/markdown">
         /// <![CDATA[
-        /// [!code-csharp[DetectIidSpike](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/TimeSeries/DetectIndependentIdenticallyDistributedSpike.cs)]
+        /// [!code-csharp[DetectIidSpike](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/TimeSeries/DetectIidSpike.cs)]
         /// ]]>
         /// </format>
         /// </example>
@@ -70,11 +70,11 @@ public static IidSpikeEstimator DetectIidSpike(this TransformsCatalog catalog, s
         /// <example>
         /// <format type="text/markdown">
         /// <![CDATA[
-        /// [!code-csharp[SsaChangePointEstimator](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/TimeSeries/SsaChangePointEstimator.cs)]
+        /// [!code-csharp[SsaChangePointEstimator](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/TimeSeries/SsaDetectChangePoint.cs)]
         /// ]]>
         /// </format>
         /// </example>
-        public static SsaChangePointEstimator SingularSpectrumAnalysisDetectChangePoint(this TransformsCatalog catalog, string outputColumnName, string inputColumnName,
+        public static SsaChangePointEstimator SsaDetectChangePoint(this TransformsCatalog catalog, string outputColumnName, string inputColumnName,
             int confidence, int changeHistoryLength, int trainingWindowSize, int seasonalityWindowSize, ErrorFunction errorFunction = ErrorFunction.SignedDifference,
             MartingaleType martingale = MartingaleType.Power, double eps = 0.1)
             => new SsaChangePointEstimator(CatalogUtils.GetEnvironment(catalog), new SsaChangePointDetector.Options
@@ -106,11 +106,11 @@ public static SsaChangePointEstimator SingularSpectrumAnalysisDetectChangePoint(
         /// <example>
         /// <format type="text/markdown">
         /// <![CDATA[
-        /// [!code-csharp[SingularSpectrumAnalysisDetectSpike](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/TimeSeries/SingularSpectrumAnalysisDetectSpike.cs)]
+        /// [!code-csharp[SingularSpectrumAnalysisDetectSpike](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/TimeSeries/SsaDetectSpike.cs)]
         /// ]]>
         /// </format>
         /// </example>
-        public static SsaSpikeEstimator SingularSpectrumAnalysisDetectSpike(this TransformsCatalog catalog, string outputColumnName, string inputColumnName, int confidence, int pvalueHistoryLength,
+        public static SsaSpikeEstimator SsaDetectSpike(this TransformsCatalog catalog, string outputColumnName, string inputColumnName, int confidence, int pvalueHistoryLength,
             int trainingWindowSize, int seasonalityWindowSize, AnomalySide side = AnomalySide.TwoSided, ErrorFunction errorFunction = ErrorFunction.SignedDifference)
             => new SsaSpikeEstimator(CatalogUtils.GetEnvironment(catalog), outputColumnName, confidence, pvalueHistoryLength, trainingWindowSize, seasonalityWindowSize, inputColumnName, side, errorFunction);
     }