diff --git a/docs/samples/Microsoft.ML.Samples/Dynamic/NgramExtraction.cs b/docs/samples/Microsoft.ML.Samples/Dynamic/NgramExtraction.cs index 45f89fd80b..405e090b6a 100644 --- a/docs/samples/Microsoft.ML.Samples/Dynamic/NgramExtraction.cs +++ b/docs/samples/Microsoft.ML.Samples/Dynamic/NgramExtraction.cs @@ -6,7 +6,7 @@ namespace Microsoft.ML.Samples.Dynamic { public static partial class TransformSamples { - public static void NgramTransform() + public static void Example() { // Create a new ML context, for ML.NET operations. It can be used for exception tracking and logging, // as well as the source of randomness. diff --git a/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/TimeSeries/DetectSpikeBySsa.cs b/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/TimeSeries/DetectSpikeBySsa.cs index 9c6f89307f..f0352e6331 100644 --- a/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/TimeSeries/DetectSpikeBySsa.cs +++ b/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/TimeSeries/DetectSpikeBySsa.cs @@ -25,7 +25,7 @@ class SsaSpikePrediction // This example creates a time series (list of Data with the i-th element corresponding to the i-th time slot). // The estimator is applied then to identify spiking points in the series. // This estimator can account for temporal seasonality in the data. - public static void SsaSpikeDetectorTransform() + public static void Example() { // Create a new ML context, for ML.NET operations. It can be used for exception tracking and logging, // as well as the source of randomness. diff --git a/docs/samples/Microsoft.ML.Samples/Static/AveragedPerceptronBinaryClassification.cs b/docs/samples/Microsoft.ML.Samples/Static/AveragedPerceptronBinaryClassification.cs index 34b380d086..9ffb2c3c32 100644 --- a/docs/samples/Microsoft.ML.Samples/Static/AveragedPerceptronBinaryClassification.cs +++ b/docs/samples/Microsoft.ML.Samples/Static/AveragedPerceptronBinaryClassification.cs @@ -5,7 +5,7 @@ namespace Microsoft.ML.Samples.Static { public class AveragedPerceptronBinaryClassificationExample { - public static void AveragedPerceptronBinaryClassification() + public static void Example() { // Downloading a classification dataset from github.com/dotnet/machinelearning. // It will be stored in the same path as the executable diff --git a/docs/samples/Microsoft.ML.Samples/Static/FastTreeBinaryClassification.cs b/docs/samples/Microsoft.ML.Samples/Static/FastTreeBinaryClassification.cs index f34c6c4145..1dfa53d9bf 100644 --- a/docs/samples/Microsoft.ML.Samples/Static/FastTreeBinaryClassification.cs +++ b/docs/samples/Microsoft.ML.Samples/Static/FastTreeBinaryClassification.cs @@ -6,7 +6,7 @@ namespace Microsoft.ML.Samples.Static public class FastTreeBinaryClassificationExample { // This example requires installation of additional nuget package Microsoft.ML.FastTree. - public static void FastTreeBinaryClassification() + public static void Example() { // Downloading a classification dataset from github.com/dotnet/machinelearning. // It will be stored in the same path as the executable diff --git a/docs/samples/Microsoft.ML.Samples/Static/FastTreeRegression.cs b/docs/samples/Microsoft.ML.Samples/Static/FastTreeRegression.cs index b2fc20047d..d0f5d6336b 100644 --- a/docs/samples/Microsoft.ML.Samples/Static/FastTreeRegression.cs +++ b/docs/samples/Microsoft.ML.Samples/Static/FastTreeRegression.cs @@ -8,7 +8,7 @@ namespace Microsoft.ML.Samples.Static public class FastTreeRegressionExample { // This example requires installation of additional nuget package Microsoft.ML.FastTree. - public static void FastTreeRegression() + public static void Example() { // Downloading a regression dataset from github.com/dotnet/machinelearning // this will create a housing.txt file in the filsystem this code will run diff --git a/docs/samples/Microsoft.ML.Samples/Static/FeatureSelectionTransform.cs b/docs/samples/Microsoft.ML.Samples/Static/FeatureSelectionTransform.cs index 88b6c6839d..6d5da0d326 100644 --- a/docs/samples/Microsoft.ML.Samples/Static/FeatureSelectionTransform.cs +++ b/docs/samples/Microsoft.ML.Samples/Static/FeatureSelectionTransform.cs @@ -7,7 +7,7 @@ namespace Microsoft.ML.Samples.Dynamic { public class FeatureSelectionTransformStaticExample { - public static void FeatureSelectionTransform() + public static void Example() { // Downloading a classification dataset from github.com/dotnet/machinelearning. // It will be stored in the same path as the executable diff --git a/docs/samples/Microsoft.ML.Samples/Static/LightGBMBinaryClassification.cs b/docs/samples/Microsoft.ML.Samples/Static/LightGBMBinaryClassification.cs index e042db89c9..04e3a2488d 100644 --- a/docs/samples/Microsoft.ML.Samples/Static/LightGBMBinaryClassification.cs +++ b/docs/samples/Microsoft.ML.Samples/Static/LightGBMBinaryClassification.cs @@ -6,7 +6,7 @@ namespace Microsoft.ML.Samples.Static { public class LightGbmBinaryClassificationExample { - public static void LightGbmBinaryClassification() + public static void Example() { // Downloading a classification dataset from github.com/dotnet/machinelearning. // It will be stored in the same path as the executable diff --git a/docs/samples/Microsoft.ML.Samples/Static/LightGBMMulticlassWithInMemoryData.cs b/docs/samples/Microsoft.ML.Samples/Static/LightGBMMulticlassWithInMemoryData.cs index 48191ab5e7..53a0ccca70 100644 --- a/docs/samples/Microsoft.ML.Samples/Static/LightGBMMulticlassWithInMemoryData.cs +++ b/docs/samples/Microsoft.ML.Samples/Static/LightGBMMulticlassWithInMemoryData.cs @@ -9,7 +9,7 @@ namespace Microsoft.ML.Samples.Static { class LightGBMMulticlassWithInMemoryData { - public void MulticlassLightGbmStaticPipelineWithInMemoryData() + public void Example() { // Create a general context for ML.NET operations. It can be used for exception tracking and logging, // as a catalog of available operations and as the source of randomness. diff --git a/docs/samples/Microsoft.ML.Samples/Static/LightGBMRegression.cs b/docs/samples/Microsoft.ML.Samples/Static/LightGBMRegression.cs index 3a5bfa1d11..7dd2d46e98 100644 --- a/docs/samples/Microsoft.ML.Samples/Static/LightGBMRegression.cs +++ b/docs/samples/Microsoft.ML.Samples/Static/LightGBMRegression.cs @@ -8,7 +8,7 @@ namespace Microsoft.ML.Samples.Static { public class LightGbmRegressionExample { - public static void LightGbmRegression() + public static void Example() { // Downloading a regression dataset from github.com/dotnet/machinelearning // this will create a housing.txt file in the filsystem. diff --git a/docs/samples/Microsoft.ML.Samples/Static/SDCABinaryClassification.cs b/docs/samples/Microsoft.ML.Samples/Static/SDCABinaryClassification.cs index 3e9933838d..cdf2c4c0b8 100644 --- a/docs/samples/Microsoft.ML.Samples/Static/SDCABinaryClassification.cs +++ b/docs/samples/Microsoft.ML.Samples/Static/SDCABinaryClassification.cs @@ -7,7 +7,7 @@ namespace Microsoft.ML.Samples.Static { public class SdcaBinaryClassificationExample { - public static void SdcaBinaryClassification() + public static void Example() { // Downloading a classification dataset from github.com/dotnet/machinelearning. // It will be stored in the same path as the executable diff --git a/docs/samples/Microsoft.ML.Samples/Static/SDCARegression.cs b/docs/samples/Microsoft.ML.Samples/Static/SDCARegression.cs index ac4e6b2a7a..2107b59d37 100644 --- a/docs/samples/Microsoft.ML.Samples/Static/SDCARegression.cs +++ b/docs/samples/Microsoft.ML.Samples/Static/SDCARegression.cs @@ -6,7 +6,7 @@ namespace Microsoft.ML.Samples.Static { public class SdcaRegressionExample { - public static void SdcaRegression() + public static void Example() { // Downloading a regression dataset from github.com/dotnet/machinelearning // this will create a housing.txt file in the filsystem this code will run