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docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/TimeSeries/DetectChangePointBySsa.cs

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{
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public static class DetectChangePointBySsa
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{
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// This example creates a time series (list of Data with the i-th element corresponding to the i-th time slot).
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// It demostrates stateful prediction engine that updates the state of the model and allows for saving/reloading.
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// The estimator is applied then to identify points where data distribution changed.

docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/TimeSeries/DetectIidChangePoint.cs

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{
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public static class DetectIidChangePoint
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{
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// This example creates a time series (list of Data with the i-th element corresponding to the i-th time slot).
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// The estimator is applied then to identify points where data distribution changed.
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public static void Example()

docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/TimeSeries/DetectIidChangePointBatchPrediction.cs

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{
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public static class DetectIidChangePointBatchPrediction
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{
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// This example creates a time series (list of Data with the i-th element corresponding to the i-th time slot).
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// The estimator is applied then to identify points where data distribution changed.
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public static void Example()

docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/TimeSeries/DetectIidSpike.cs

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@@ -9,7 +9,6 @@ namespace Samples.Dynamic
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{
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public static class DetectIidSpike
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{
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// This example creates a time series (list of Data with the i-th element corresponding to the i-th time slot).
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// The estimator is applied then to identify spiking points in the series.
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public static void Example()

docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/TimeSeries/DetectIidSpikeBatchPrediction.cs

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{
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public static class DetectIidSpikeBatchPrediction
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{
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// This example creates a time series (list of Data with the i-th element corresponding to the i-th time slot).
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// The estimator is applied then to identify spiking points in the series.
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public static void Example()

docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/TimeSeries/DetectSpikeBySsa.cs

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{
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public static class DetectSpikeBySsa
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{
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// This example creates a time series (list of Data with the i-th element corresponding to the i-th time slot).
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// The estimator is applied then to identify spiking points in the series.
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// This estimator can account for temporal seasonality in the data.

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