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Microsoft.ML.Transforms assembly lockdown #2648

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merged 3 commits into from
Feb 20, 2019
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artidoro
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Fixes #2282.

This is a pull request in the assembly public surface lockdown series.
Besides internalization I also added some comments for public members. This is a relatively small PR as we have gone through the Transforms assembly many times already.

I made the method CheckInputColumn in OneToOneTransformerBase BestFriend private protected instead of just protected.

@artidoro artidoro added the API Issues pertaining the friendly API label Feb 20, 2019
@artidoro artidoro self-assigned this Feb 20, 2019
@@ -9,7 +9,7 @@
namespace Microsoft.ML
{
/// <summary>
/// Static extensions for categorical transforms.
/// The catalog of categorical transformations.
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@codemzs codemzs Feb 20, 2019

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transformations [](start = 35, length = 15)

transformers? #Pending

@Ivanidzo4ka
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Ivanidzo4ka commented Feb 20, 2019

Would be nice to have image similar to image from #2511
I know I've been lazy in my PRs, but in same time my PRs were about small assemblies. #Resolved

@@ -7,6 +7,9 @@

namespace Microsoft.ML
{
/// <summary>
/// The catalog of projection transformations.
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transformations [](start = 34, length = 15)

transformers? #Pending

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@TomFinley TomFinley Feb 20, 2019

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This is some troublesome language usage that we need to think about how to do. We are talking about transforming usage. And the way we do that is via ITransformer, but what is actually being returned through these catalogs? IEstimator! I don't object to this preference for transformer, per se, but I would not insist on it if it is unnatural in context. The context here is how we describe the process by which we transform data, which includes ITransformer, but is not specifically related to it (it can't be, what is returned here is not ITransformer implementors at all!). #Pending

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So I don't disagree with your suggestion, but I wouldn't insist on it, and I don't know that I see a strong reason for it, since the term usage seems appropriate in the (deliberately) vague context of this catalog. #Pending

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@artidoro artidoro Feb 20, 2019

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This is part of the .Transforms section of MLContext. I preferred not to use the contraction "transforms" and use the full word "transformations". My choice is more open ended and not reference ML.NET objects.

If we want to be more specific, since these are returning estimators, we should probably use that word instead.

So in conclusion, if we want to be specific I would use "estimators" alternatively I would stick to "transformations". I would personally keep the word "transformations". #Pending

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artidoro commented Feb 20, 2019

Sounds good I will post that. #Resolved

@@ -12,6 +12,9 @@ namespace Microsoft.ML
using CharTokenizingDefaults = TokenizingByCharactersEstimator.Defaults;
using TextNormalizeDefaults = TextNormalizingEstimator.Defaults;

/// <summary>
/// The catalog of text related transformations.
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transformations [](start = 36, length = 15)

transformers? #Pending

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Minor comments that doesn't require blocking but please address them. Thanks.

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codecov bot commented Feb 20, 2019

Codecov Report

Merging #2648 into master will decrease coverage by <.01%.
The diff coverage is 83.33%.

@@            Coverage Diff             @@
##           master    #2648      +/-   ##
==========================================
- Coverage   71.54%   71.53%   -0.01%     
==========================================
  Files         800      800              
  Lines      141847   141847              
  Branches    16119    16119              
==========================================
- Hits       101480   101476       -4     
- Misses      35916    35921       +5     
+ Partials     4451     4450       -1
Flag Coverage Δ
#Debug 71.53% <83.33%> (-0.01%) ⬇️
#production 67.83% <83.33%> (-0.01%) ⬇️
#test 85.73% <ø> (ø) ⬆️

@@ -117,7 +119,7 @@ void ICanSaveModel.Save(ModelSaveContext ctx)
ctx.Writer.Write(_gamma);
}

public float Next(Random rand)
float IFourierDistributionSampler.Next(Random rand)
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@TomFinley TomFinley Feb 20, 2019

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IFourierDistributionSampler [](start = 14, length = 27)

I don't consider a regular implementation harmful in this case, since this is clearly key functionality on this object. Indeed I'm not sure this thing needs to be an interface at all. You're improving the code a bunch, but I think it still needs a bit more work. I opened #2659 to track this. #Resolved

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@artidoro artidoro Feb 20, 2019

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I will revert to a regular implementation here then. Thank you for opening that! #Resolved

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Thanks artidoro, incidentally would have been fine to leave it, but it's just as good being public.

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Looks good thank you @artidoro

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artidoro commented Feb 20, 2019

@Ivanidzo4ka Here is the public surface of the Microsoft.ML.Transforms assembly after my change:


T:Microsoft.ML.BinaryClassificationMetricsStatistics
M:Microsoft.ML.BinaryClassificationMetricsStatistics.#ctor
P:Microsoft.ML.BinaryClassificationMetricsStatistics.Accuracy
P:Microsoft.ML.BinaryClassificationMetricsStatistics.Auc
P:Microsoft.ML.BinaryClassificationMetricsStatistics.Auprc
P:Microsoft.ML.BinaryClassificationMetricsStatistics.F1Score
P:Microsoft.ML.BinaryClassificationMetricsStatistics.NegativePrecision
P:Microsoft.ML.BinaryClassificationMetricsStatistics.NegativeRecall
P:Microsoft.ML.BinaryClassificationMetricsStatistics.PositivePrecision
P:Microsoft.ML.BinaryClassificationMetricsStatistics.PositiveRecall
M:Microsoft.ML.BinaryClassificationMetricsStatistics.get_Accuracy
M:Microsoft.ML.BinaryClassificationMetricsStatistics.Add(Microsoft.ML.Data.BinaryClassificationMetrics)
M:Microsoft.ML.BinaryClassificationMetricsStatistics.get_Auc
M:Microsoft.ML.BinaryClassificationMetricsStatistics.get_Auprc
M:Microsoft.ML.BinaryClassificationMetricsStatistics.get_F1Score
M:Microsoft.ML.BinaryClassificationMetricsStatistics.get_NegativePrecision
M:Microsoft.ML.BinaryClassificationMetricsStatistics.get_NegativeRecall
M:Microsoft.ML.BinaryClassificationMetricsStatistics.get_PositivePrecision
M:Microsoft.ML.BinaryClassificationMetricsStatistics.get_PositiveRecall
T:Microsoft.ML.CategoricalCatalog
M:Microsoft.ML.CategoricalCatalog.OneHotEncoding(Microsoft.ML.TransformsCatalog.CategoricalTransforms,Microsoft.ML.Transforms.Categorical.OneHotEncodingEstimator.ColumnInfo[])
M:Microsoft.ML.CategoricalCatalog.OneHotEncoding(Microsoft.ML.TransformsCatalog.CategoricalTransforms,Microsoft.ML.Transforms.Categorical.OneHotEncodingEstimator.ColumnInfo[],Microsoft.Data.DataView.IDataView)
M:Microsoft.ML.CategoricalCatalog.OneHotEncoding(Microsoft.ML.TransformsCatalog.CategoricalTransforms,System.String,System.String,Microsoft.ML.Transforms.Categorical.OneHotEncodingTransformer.OutputKind)
M:Microsoft.ML.CategoricalCatalog.OneHotHashEncoding(Microsoft.ML.TransformsCatalog.CategoricalTransforms,Microsoft.ML.Transforms.Categorical.OneHotHashEncodingEstimator.ColumnInfo[])
M:Microsoft.ML.CategoricalCatalog.OneHotHashEncoding(Microsoft.ML.TransformsCatalog.CategoricalTransforms,System.String,System.String,System.Int32,System.Int32,Microsoft.ML.Transforms.Categorical.OneHotEncodingTransformer.OutputKind)
T:Microsoft.ML.ConversionsCatalog
M:Microsoft.ML.ConversionsCatalog.MapKeyToBinaryVector(Microsoft.ML.TransformsCatalog.ConversionTransforms,System.String,System.String)
M:Microsoft.ML.ConversionsCatalog.MapKeyToBinaryVector(Microsoft.ML.TransformsCatalog.ConversionTransforms,System.ValueTuple{System.String,System.String}[])
T:Microsoft.ML.CustomMappingCatalog
M:Microsoft.ML.CustomMappingCatalog.CustomMapping2(Microsoft.ML.TransformsCatalog,System.Action{0,1},System.String,Microsoft.ML.Data.SchemaDefinition,Microsoft.ML.Data.SchemaDefinition)
M:Microsoft.ML.CustomMappingCatalog.CustomMappingTransformer2(Microsoft.ML.TransformsCatalog,System.Action{0,1},System.String,Microsoft.ML.Data.SchemaDefinition,Microsoft.ML.Data.SchemaDefinition)
T:Microsoft.ML.ExtensionsCatalog
M:Microsoft.ML.ExtensionsCatalog.IndicateMissingValues(Microsoft.ML.TransformsCatalog,System.String,System.String)
M:Microsoft.ML.ExtensionsCatalog.IndicateMissingValues(Microsoft.ML.TransformsCatalog,System.ValueTuple{System.String,System.String}[])
M:Microsoft.ML.ExtensionsCatalog.ReplaceMissingValues(Microsoft.ML.TransformsCatalog,Microsoft.ML.Transforms.MissingValueReplacingEstimator.ColumnInfo[])
M:Microsoft.ML.ExtensionsCatalog.ReplaceMissingValues(Microsoft.ML.TransformsCatalog,System.String,System.String,Microsoft.ML.Transforms.MissingValueReplacingEstimator.ColumnInfo.ReplacementMode)
T:Microsoft.ML.FeatureSelectionCatalog
M:Microsoft.ML.FeatureSelectionCatalog.SelectFeaturesBasedOnCount(Microsoft.ML.TransformsCatalog.FeatureSelectionTransforms,Microsoft.ML.Transforms.FeatureSelection.CountFeatureSelectingEstimator.ColumnInfo[])
M:Microsoft.ML.FeatureSelectionCatalog.SelectFeaturesBasedOnCount(Microsoft.ML.TransformsCatalog.FeatureSelectionTransforms,System.String,System.String,System.Int64)
M:Microsoft.ML.FeatureSelectionCatalog.SelectFeaturesBasedOnMutualInformation(Microsoft.ML.TransformsCatalog.FeatureSelectionTransforms,System.String,System.Int32,System.Int32,System.ValueTuple{System.String,System.String}[])
M:Microsoft.ML.FeatureSelectionCatalog.SelectFeaturesBasedOnMutualInformation(Microsoft.ML.TransformsCatalog.FeatureSelectionTransforms,System.String,System.String,System.String,System.Int32,System.Int32)
T:Microsoft.ML.MetricsStatisticsBase1
M:Microsoft.ML.MetricsStatisticsBase1.Add(0)
M:Microsoft.ML.MetricsStatisticsBase1.AddArray(System.Double[],Microsoft.ML.MetricStatistics[])
M:Microsoft.ML.MetricsStatisticsBase1.InitializeArray(System.Int32)
T:Microsoft.ML.MetricStatistics
P:Microsoft.ML.MetricStatistics.Count
P:Microsoft.ML.MetricStatistics.Mean
P:Microsoft.ML.MetricStatistics.StandardDeviation
P:Microsoft.ML.MetricStatistics.StandardError
M:Microsoft.ML.MetricStatistics.get_Count
M:Microsoft.ML.MetricStatistics.get_Mean
M:Microsoft.ML.MetricStatistics.get_StandardDeviation
M:Microsoft.ML.MetricStatistics.get_StandardError
T:Microsoft.ML.MultiClassClassifierMetricsStatistics
M:Microsoft.ML.MultiClassClassifierMetricsStatistics.#ctor
P:Microsoft.ML.MultiClassClassifierMetricsStatistics.AccuracyMacro
P:Microsoft.ML.MultiClassClassifierMetricsStatistics.AccuracyMicro
P:Microsoft.ML.MultiClassClassifierMetricsStatistics.LogLoss
P:Microsoft.ML.MultiClassClassifierMetricsStatistics.LogLossReduction
P:Microsoft.ML.MultiClassClassifierMetricsStatistics.PerClassLogLoss
P:Microsoft.ML.MultiClassClassifierMetricsStatistics.TopKAccuracy
M:Microsoft.ML.MultiClassClassifierMetricsStatistics.get_AccuracyMacro
M:Microsoft.ML.MultiClassClassifierMetricsStatistics.get_AccuracyMicro
M:Microsoft.ML.MultiClassClassifierMetricsStatistics.Add(Microsoft.ML.Data.MultiClassClassifierMetrics)
M:Microsoft.ML.MultiClassClassifierMetricsStatistics.get_LogLoss
M:Microsoft.ML.MultiClassClassifierMetricsStatistics.get_LogLossReduction
M:Microsoft.ML.MultiClassClassifierMetricsStatistics.get_PerClassLogLoss
M:Microsoft.ML.MultiClassClassifierMetricsStatistics.get_TopKAccuracy
T:Microsoft.ML.PermutationFeatureImportanceExtensions
M:Microsoft.ML.PermutationFeatureImportanceExtensions.PermutationFeatureImportance1(Microsoft.ML.BinaryClassificationCatalog,Microsoft.ML.IPredictionTransformer{0},Microsoft.Data.DataView.IDataView,System.String,System.String,System.Boolean,System.Nullable{System.Int32},System.Int32)
M:Microsoft.ML.PermutationFeatureImportanceExtensions.PermutationFeatureImportance1(Microsoft.ML.MulticlassClassificationCatalog,Microsoft.ML.IPredictionTransformer{0},Microsoft.Data.DataView.IDataView,System.String,System.String,System.Boolean,System.Nullable{System.Int32},System.Int32)
M:Microsoft.ML.PermutationFeatureImportanceExtensions.PermutationFeatureImportance1(Microsoft.ML.RankingCatalog,Microsoft.ML.IPredictionTransformer{0},Microsoft.Data.DataView.IDataView,System.String,System.String,System.String,System.Boolean,System.Nullable{System.Int32},System.Int32)
M:Microsoft.ML.PermutationFeatureImportanceExtensions.PermutationFeatureImportance1(Microsoft.ML.RegressionCatalog,Microsoft.ML.IPredictionTransformer{0},Microsoft.Data.DataView.IDataView,System.String,System.String,System.Boolean,System.Nullable{System.Int32},System.Int32)
T:Microsoft.ML.ProjectionCatalog
M:Microsoft.ML.ProjectionCatalog.CreateRandomFourierFeatures(Microsoft.ML.TransformsCatalog.ProjectionTransforms,Microsoft.ML.Transforms.Projections.RandomFourierFeaturizingEstimator.ColumnInfo[])
M:Microsoft.ML.ProjectionCatalog.CreateRandomFourierFeatures(Microsoft.ML.TransformsCatalog.ProjectionTransforms,System.String,System.String,System.Int32,System.Boolean)
M:Microsoft.ML.ProjectionCatalog.GlobalContrastNormalize(Microsoft.ML.TransformsCatalog.ProjectionTransforms,Microsoft.ML.Transforms.Projections.GlobalContrastNormalizingEstimator.GcnColumnInfo[])
M:Microsoft.ML.ProjectionCatalog.GlobalContrastNormalize(Microsoft.ML.TransformsCatalog.ProjectionTransforms,System.String,System.String,System.Boolean,System.Boolean,System.Single)
M:Microsoft.ML.ProjectionCatalog.LpNormalize(Microsoft.ML.TransformsCatalog.ProjectionTransforms,Microsoft.ML.Transforms.Projections.LpNormalizingEstimator.LpNormColumnInfo[])
M:Microsoft.ML.ProjectionCatalog.LpNormalize(Microsoft.ML.TransformsCatalog.ProjectionTransforms,System.String,System.String,Microsoft.ML.Transforms.Projections.LpNormalizingEstimatorBase.NormalizerKind,System.Boolean)
T:Microsoft.ML.RankerMetricsStatistics
M:Microsoft.ML.RankerMetricsStatistics.#ctor
P:Microsoft.ML.RankerMetricsStatistics.Dcg
P:Microsoft.ML.RankerMetricsStatistics.Ndcg
M:Microsoft.ML.RankerMetricsStatistics.Add(Microsoft.ML.Data.RankerMetrics)
M:Microsoft.ML.RankerMetricsStatistics.get_Dcg
M:Microsoft.ML.RankerMetricsStatistics.get_Ndcg
T:Microsoft.ML.RegressionMetricsStatistics
M:Microsoft.ML.RegressionMetricsStatistics.#ctor
P:Microsoft.ML.RegressionMetricsStatistics.L1
P:Microsoft.ML.RegressionMetricsStatistics.L2
P:Microsoft.ML.RegressionMetricsStatistics.LossFn
P:Microsoft.ML.RegressionMetricsStatistics.Rms
P:Microsoft.ML.RegressionMetricsStatistics.RSquared
M:Microsoft.ML.RegressionMetricsStatistics.Add(Microsoft.ML.Data.RegressionMetrics)
M:Microsoft.ML.RegressionMetricsStatistics.get_L1
M:Microsoft.ML.RegressionMetricsStatistics.get_L2
M:Microsoft.ML.RegressionMetricsStatistics.get_LossFn
M:Microsoft.ML.RegressionMetricsStatistics.get_Rms
M:Microsoft.ML.RegressionMetricsStatistics.get_RSquared
T:Microsoft.ML.TextCatalog
M:Microsoft.ML.TextCatalog.ExtractWordEmbeddings(Microsoft.ML.TransformsCatalog.TextTransforms,Microsoft.ML.Transforms.Text.WordEmbeddingsExtractingEstimator.PretrainedModelKind,Microsoft.ML.Transforms.Text.WordEmbeddingsExtractingEstimator.ColumnInfo[])
M:Microsoft.ML.TextCatalog.ExtractWordEmbeddings(Microsoft.ML.TransformsCatalog.TextTransforms,System.String,System.String,Microsoft.ML.Transforms.Text.WordEmbeddingsExtractingEstimator.PretrainedModelKind)
M:Microsoft.ML.TextCatalog.ExtractWordEmbeddings(Microsoft.ML.TransformsCatalog.TextTransforms,System.String,System.String,System.String)
M:Microsoft.ML.TextCatalog.FeaturizeText(Microsoft.ML.TransformsCatalog.TextTransforms,System.String,System.Collections.Generic.IEnumerable{System.String},Microsoft.ML.Transforms.Text.TextFeaturizingEstimator.Options)
M:Microsoft.ML.TextCatalog.FeaturizeText(Microsoft.ML.TransformsCatalog.TextTransforms,System.String,System.String)
M:Microsoft.ML.TextCatalog.LatentDirichletAllocation(Microsoft.ML.TransformsCatalog.TextTransforms,Microsoft.ML.Transforms.Text.LatentDirichletAllocationEstimator.ColumnInfo[])
M:Microsoft.ML.TextCatalog.LatentDirichletAllocation(Microsoft.ML.TransformsCatalog.TextTransforms,System.String,System.String,System.Int32,System.Single,System.Single,System.Int32,System.Int32,System.Int32,System.Int32,System.Int32,System.Int32,System.Int32,System.Boolean)
M:Microsoft.ML.TextCatalog.NormalizeText(Microsoft.ML.TransformsCatalog.TextTransforms,System.String,System.String,Microsoft.ML.Transforms.Text.TextNormalizingEstimator.CaseNormalizationMode,System.Boolean,System.Boolean,System.Boolean)
M:Microsoft.ML.TextCatalog.ProduceHashedNgrams(Microsoft.ML.TransformsCatalog.TextTransforms,System.String,System.String,System.Int32,System.Int32,System.Int32,System.Boolean,System.UInt32,System.Boolean,System.Int32)
M:Microsoft.ML.TextCatalog.ProduceHashedNgrams(Microsoft.ML.TransformsCatalog.TextTransforms,System.String,System.String[],System.Int32,System.Int32,System.Int32,System.Boolean,System.UInt32,System.Boolean,System.Int32)
M:Microsoft.ML.TextCatalog.ProduceHashedNgrams(Microsoft.ML.TransformsCatalog.TextTransforms,System.ValueTuple{System.String,System.String[]}[],System.Int32,System.Int32,System.Int32,System.Boolean,System.UInt32,System.Boolean,System.Int32)
M:Microsoft.ML.TextCatalog.ProduceHashedWordBags(Microsoft.ML.TransformsCatalog.TextTransforms,System.String,System.String,System.Int32,System.Int32,System.Int32,System.Boolean,System.UInt32,System.Boolean,System.Int32)
M:Microsoft.ML.TextCatalog.ProduceHashedWordBags(Microsoft.ML.TransformsCatalog.TextTransforms,System.String,System.String[],System.Int32,System.Int32,System.Int32,System.Boolean,System.UInt32,System.Boolean,System.Int32)
M:Microsoft.ML.TextCatalog.ProduceHashedWordBags(Microsoft.ML.TransformsCatalog.TextTransforms,System.ValueTuple{System.String,System.String[]}[],System.Int32,System.Int32,System.Int32,System.Boolean,System.UInt32,System.Boolean,System.Int32)
M:Microsoft.ML.TextCatalog.ProduceNgrams(Microsoft.ML.TransformsCatalog.TextTransforms,Microsoft.ML.Transforms.Text.NgramExtractingEstimator.ColumnInfo[])
M:Microsoft.ML.TextCatalog.ProduceNgrams(Microsoft.ML.TransformsCatalog.TextTransforms,System.String,System.String,System.Int32,System.Int32,System.Boolean,System.Int32,Microsoft.ML.Transforms.Text.NgramExtractingEstimator.WeightingCriteria)
M:Microsoft.ML.TextCatalog.ProduceNgrams(Microsoft.ML.TransformsCatalog.TextTransforms,System.ValueTuple{System.String,System.String}[],System.Int32,System.Int32,System.Boolean,System.Int32,Microsoft.ML.Transforms.Text.NgramExtractingEstimator.WeightingCriteria)
M:Microsoft.ML.TextCatalog.ProduceWordBags(Microsoft.ML.TransformsCatalog.TextTransforms,System.String,System.String,System.Int32,System.Int32,System.Boolean,System.Int32,Microsoft.ML.Transforms.Text.NgramExtractingEstimator.WeightingCriteria)
M:Microsoft.ML.TextCatalog.ProduceWordBags(Microsoft.ML.TransformsCatalog.TextTransforms,System.String,System.String[],System.Int32,System.Int32,System.Boolean,System.Int32,Microsoft.ML.Transforms.Text.NgramExtractingEstimator.WeightingCriteria)
M:Microsoft.ML.TextCatalog.ProduceWordBags(Microsoft.ML.TransformsCatalog.TextTransforms,System.ValueTuple{System.String,System.String[]}[],System.Int32,System.Int32,System.Boolean,System.Int32,Microsoft.ML.Transforms.Text.NgramExtractingEstimator.WeightingCriteria)
M:Microsoft.ML.TextCatalog.RemoveDefaultStopWords(Microsoft.ML.TransformsCatalog.TextTransforms,System.String,System.String,Microsoft.ML.Transforms.Text.StopWordsRemovingEstimator.Language)
M:Microsoft.ML.TextCatalog.RemoveDefaultStopWords(Microsoft.ML.TransformsCatalog.TextTransforms,System.ValueTuple{System.String,System.String}[],Microsoft.ML.Transforms.Text.StopWordsRemovingEstimator.Language)
M:Microsoft.ML.TextCatalog.RemoveStopWords(Microsoft.ML.TransformsCatalog.TextTransforms,System.String,System.String,System.String[])
M:Microsoft.ML.TextCatalog.RemoveStopWords(Microsoft.ML.TransformsCatalog.TextTransforms,System.ValueTuple{System.String,System.String}[],System.String[])
M:Microsoft.ML.TextCatalog.TokenizeCharacters(Microsoft.ML.TransformsCatalog.TextTransforms,System.Boolean,System.ValueTuple{System.String,System.String}[])
M:Microsoft.ML.TextCatalog.TokenizeCharacters(Microsoft.ML.TransformsCatalog.TextTransforms,System.String,System.String,System.Boolean)
M:Microsoft.ML.TextCatalog.TokenizeWords(Microsoft.ML.TransformsCatalog.TextTransforms,Microsoft.ML.Transforms.Text.WordTokenizingEstimator.ColumnInfo[])
M:Microsoft.ML.TextCatalog.TokenizeWords(Microsoft.ML.TransformsCatalog.TextTransforms,System.String,System.String,System.Char[])
M:Microsoft.ML.TextCatalog.TokenizeWords(Microsoft.ML.TransformsCatalog.TextTransforms,System.ValueTuple{System.String,System.String}[],System.Char[])
N:Microsoft.ML.Transforms
T:Microsoft.ML.Transforms.CustomMappingEstimator2
M:Microsoft.ML.Transforms.CustomMappingEstimator2.GetOutputSchema(Microsoft.ML.SchemaShape)
T:Microsoft.ML.Transforms.CustomMappingTransformer2
P:Microsoft.ML.Transforms.CustomMappingTransformer2.IsRowToRowMapper
M:Microsoft.ML.Transforms.CustomMappingTransformer2.GetOutputSchema(Microsoft.Data.DataView.DataViewSchema)
M:Microsoft.ML.Transforms.CustomMappingTransformer2.GetRowToRowMapper(Microsoft.Data.DataView.DataViewSchema)
M:Microsoft.ML.Transforms.CustomMappingTransformer2.get_IsRowToRowMapper
M:Microsoft.ML.Transforms.CustomMappingTransformer2.Microsoft#ML#Model#ICanSaveModel#Save(Microsoft.ML.Model.ModelSaveContext)
M:Microsoft.ML.Transforms.CustomMappingTransformer2.Transform(Microsoft.Data.DataView.IDataView)
T:Microsoft.ML.Transforms.GaussianFourierSampler
M:Microsoft.ML.Transforms.GaussianFourierSampler.#ctor(Microsoft.ML.IHostEnvironment,Microsoft.ML.Transforms.GaussianFourierSampler.Options,System.Single)
M:Microsoft.ML.Transforms.GaussianFourierSampler.Microsoft#ML#Model#ICanSaveModel#Save(Microsoft.ML.Model.ModelSaveContext)
M:Microsoft.ML.Transforms.GaussianFourierSampler.Microsoft#ML#Transforms#IFourierDistributionSampler#Next(System.Random)
T:Microsoft.ML.Transforms.GaussianFourierSampler.Options
F:Microsoft.ML.Transforms.GaussianFourierSampler.Options.Gamma
M:Microsoft.ML.Transforms.GaussianFourierSampler.Options.#ctor
M:Microsoft.ML.Transforms.GaussianFourierSampler.Options.Microsoft#ML#IComponentFactory{System#Single@Microsoft#ML#Transforms#IFourierDistributionSampler}#CreateComponent(Microsoft.ML.IHostEnvironment,System.Single)
T:Microsoft.ML.Transforms.IFourierDistributionSampler
M:Microsoft.ML.Transforms.IFourierDistributionSampler.Next(System.Random)
T:Microsoft.ML.Transforms.LaplacianFourierSampler
M:Microsoft.ML.Transforms.LaplacianFourierSampler.#ctor(Microsoft.ML.IHostEnvironment,Microsoft.ML.Transforms.LaplacianFourierSampler.Options,System.Single)
M:Microsoft.ML.Transforms.LaplacianFourierSampler.Microsoft#ML#Model#ICanSaveModel#Save(Microsoft.ML.Model.ModelSaveContext)
M:Microsoft.ML.Transforms.LaplacianFourierSampler.Microsoft#ML#Transforms#IFourierDistributionSampler#Next(System.Random)
T:Microsoft.ML.Transforms.LaplacianFourierSampler.Options
F:Microsoft.ML.Transforms.LaplacianFourierSampler.Options.A
M:Microsoft.ML.Transforms.LaplacianFourierSampler.Options.#ctor
M:Microsoft.ML.Transforms.LaplacianFourierSampler.Options.Microsoft#ML#IComponentFactory{System#Single@Microsoft#ML#Transforms#IFourierDistributionSampler}#CreateComponent(Microsoft.ML.IHostEnvironment,System.Single)
T:Microsoft.ML.Transforms.MissingValueDroppingEstimator
M:Microsoft.ML.Transforms.MissingValueDroppingEstimator.GetOutputSchema(Microsoft.ML.SchemaShape)
T:Microsoft.ML.Transforms.MissingValueDroppingTransformer
P:Microsoft.ML.Transforms.MissingValueDroppingTransformer.Columns
M:Microsoft.ML.Transforms.MissingValueDroppingTransformer.get_Columns
T:Microsoft.ML.Transforms.MissingValueIndicatorEstimator
M:Microsoft.ML.Transforms.MissingValueIndicatorEstimator.GetOutputSchema(Microsoft.ML.SchemaShape)
T:Microsoft.ML.Transforms.MissingValueIndicatorTransformer
P:Microsoft.ML.Transforms.MissingValueIndicatorTransformer.Columns
M:Microsoft.ML.Transforms.MissingValueIndicatorTransformer.get_Columns
T:Microsoft.ML.Transforms.MissingValueReplacingEstimator
M:Microsoft.ML.Transforms.MissingValueReplacingEstimator.Fit(Microsoft.Data.DataView.IDataView)
M:Microsoft.ML.Transforms.MissingValueReplacingEstimator.GetOutputSchema(Microsoft.ML.SchemaShape)
T:Microsoft.ML.Transforms.MissingValueReplacingEstimator.ColumnInfo
F:Microsoft.ML.Transforms.MissingValueReplacingEstimator.ColumnInfo.Replacement
F:Microsoft.ML.Transforms.MissingValueReplacingEstimator.ColumnInfo.ImputeBySlot
F:Microsoft.ML.Transforms.MissingValueReplacingEstimator.ColumnInfo.InputColumnName
F:Microsoft.ML.Transforms.MissingValueReplacingEstimator.ColumnInfo.Name
M:Microsoft.ML.Transforms.MissingValueReplacingEstimator.ColumnInfo.#ctor(System.String,System.String,Microsoft.ML.Transforms.MissingValueReplacingEstimator.ColumnInfo.ReplacementMode,System.Boolean)
T:Microsoft.ML.Transforms.MissingValueReplacingEstimator.ColumnInfo.ReplacementMode
F:Microsoft.ML.Transforms.MissingValueReplacingEstimator.ColumnInfo.ReplacementMode.DefaultValue
F:Microsoft.ML.Transforms.MissingValueReplacingEstimator.ColumnInfo.ReplacementMode.Maximum
F:Microsoft.ML.Transforms.MissingValueReplacingEstimator.ColumnInfo.ReplacementMode.Mean
F:Microsoft.ML.Transforms.MissingValueReplacingEstimator.ColumnInfo.ReplacementMode.Minimum
F:Microsoft.ML.Transforms.MissingValueReplacingEstimator.ColumnInfo.ReplacementMode.value__
T:Microsoft.ML.Transforms.MissingValueReplacingTransformer
N:Microsoft.ML.Transforms.Categorical
T:Microsoft.ML.Transforms.Categorical.OneHotEncodingEstimator
M:Microsoft.ML.Transforms.Categorical.OneHotEncodingEstimator.Fit(Microsoft.Data.DataView.IDataView)
M:Microsoft.ML.Transforms.Categorical.OneHotEncodingEstimator.GetOutputSchema(Microsoft.ML.SchemaShape)
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T:Microsoft.ML.Transforms.Projections.RandomFourierFeaturizingEstimator
M:Microsoft.ML.Transforms.Projections.RandomFourierFeaturizingEstimator.Fit(Microsoft.Data.DataView.IDataView)
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T:Microsoft.ML.Transforms.Projections.RandomFourierFeaturizingTransformer
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T:Microsoft.ML.Transforms.Text.CustomStopWordsRemovingTransformer
P:Microsoft.ML.Transforms.Text.CustomStopWordsRemovingTransformer.Columns
M:Microsoft.ML.Transforms.Text.CustomStopWordsRemovingTransformer.get_Columns
T:Microsoft.ML.Transforms.Text.LatentDirichletAllocationEstimator
M:Microsoft.ML.Transforms.Text.LatentDirichletAllocationEstimator.Fit(Microsoft.Data.DataView.IDataView)
M:Microsoft.ML.Transforms.Text.LatentDirichletAllocationEstimator.GetOutputSchema(Microsoft.ML.SchemaShape)
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T:Microsoft.ML.Transforms.Text.LatentDirichletAllocationTransformer
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T:Microsoft.ML.Transforms.Text.LatentDirichletAllocationTransformer.LdaSummary
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F:Microsoft.ML.Transforms.Text.LatentDirichletAllocationTransformer.LdaSummary.WordScoresPerTopic
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M:Microsoft.ML.Transforms.Text.NgramExtractingEstimator.GetOutputSchema(Microsoft.ML.SchemaShape)
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T:Microsoft.ML.Transforms.Text.NgramExtractingEstimator.WeightingCriteria
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T:Microsoft.ML.Transforms.Text.NgramHashingEstimator
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M:Microsoft.ML.Transforms.Text.NgramHashingEstimator.GetOutputSchema(Microsoft.ML.SchemaShape)
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F:Microsoft.ML.Transforms.Text.NgramHashingEstimator.ColumnInfo.HashBits
F:Microsoft.ML.Transforms.Text.NgramHashingEstimator.ColumnInfo.InvertHash
F:Microsoft.ML.Transforms.Text.NgramHashingEstimator.ColumnInfo.NgramLength
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F:Microsoft.ML.Transforms.Text.StopWordsRemovingEstimator.Language.Italian
F:Microsoft.ML.Transforms.Text.StopWordsRemovingEstimator.Language.Japanese
F:Microsoft.ML.Transforms.Text.StopWordsRemovingEstimator.Language.Norwegian_Bokmal
F:Microsoft.ML.Transforms.Text.StopWordsRemovingEstimator.Language.Polish
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F:Microsoft.ML.Transforms.Text.StopWordsRemovingEstimator.Language.Portuguese_Brazilian
F:Microsoft.ML.Transforms.Text.StopWordsRemovingEstimator.Language.Russian
F:Microsoft.ML.Transforms.Text.StopWordsRemovingEstimator.Language.Spanish
F:Microsoft.ML.Transforms.Text.StopWordsRemovingEstimator.Language.Swedish
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M:Microsoft.ML.Transforms.Text.StopWordsRemovingTransformer.get_Columns
T:Microsoft.ML.Transforms.Text.TextFeaturizingEstimator
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T:Microsoft.ML.Transforms.Text.TextFeaturizingEstimator.Language
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F:Microsoft.ML.Transforms.Text.TextFeaturizingEstimator.Language.French
F:Microsoft.ML.Transforms.Text.TextFeaturizingEstimator.Language.German
F:Microsoft.ML.Transforms.Text.TextFeaturizingEstimator.Language.Italian
F:Microsoft.ML.Transforms.Text.TextFeaturizingEstimator.Language.Japanese
F:Microsoft.ML.Transforms.Text.TextFeaturizingEstimator.Language.Spanish
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M:Microsoft.ML.Transforms.Text.TextFeaturizingEstimator.Options.#ctor
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P:Microsoft.ML.Transforms.Text.TextFeaturizingEstimator.Options.TextLanguage
P:Microsoft.ML.Transforms.Text.TextFeaturizingEstimator.Options.UseCharExtractor
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P:Microsoft.ML.Transforms.Text.TextFeaturizingEstimator.Options.UseWordExtractor
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M:Microsoft.ML.Transforms.Text.TextFeaturizingEstimator.Options.get_KeepDiacritics
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M:Microsoft.ML.Transforms.Text.TextFeaturizingEstimator.Options.get_KeepNumbers
M:Microsoft.ML.Transforms.Text.TextFeaturizingEstimator.Options.set_KeepNumbers(System.Boolean)
M:Microsoft.ML.Transforms.Text.TextFeaturizingEstimator.Options.get_KeepPunctuations
M:Microsoft.ML.Transforms.Text.TextFeaturizingEstimator.Options.set_KeepPunctuations(System.Boolean)
M:Microsoft.ML.Transforms.Text.TextFeaturizingEstimator.Options.get_OutputTokens
M:Microsoft.ML.Transforms.Text.TextFeaturizingEstimator.Options.set_OutputTokens(System.Boolean)
M:Microsoft.ML.Transforms.Text.TextFeaturizingEstimator.Options.get_TextCase
M:Microsoft.ML.Transforms.Text.TextFeaturizingEstimator.Options.set_TextCase(Microsoft.ML.Transforms.Text.TextNormalizingEstimator.CaseNormalizationMode)
M:Microsoft.ML.Transforms.Text.TextFeaturizingEstimator.Options.get_TextLanguage
M:Microsoft.ML.Transforms.Text.TextFeaturizingEstimator.Options.set_TextLanguage(Microsoft.ML.Transforms.Text.TextFeaturizingEstimator.Language)
M:Microsoft.ML.Transforms.Text.TextFeaturizingEstimator.Options.get_UseCharExtractor
M:Microsoft.ML.Transforms.Text.TextFeaturizingEstimator.Options.set_UseCharExtractor(System.Boolean)
M:Microsoft.ML.Transforms.Text.TextFeaturizingEstimator.Options.get_UseStopRemover
M:Microsoft.ML.Transforms.Text.TextFeaturizingEstimator.Options.set_UseStopRemover(System.Boolean)
M:Microsoft.ML.Transforms.Text.TextFeaturizingEstimator.Options.get_UseWordExtractor
M:Microsoft.ML.Transforms.Text.TextFeaturizingEstimator.Options.set_UseWordExtractor(System.Boolean)
M:Microsoft.ML.Transforms.Text.TextFeaturizingEstimator.Options.get_VectorNormalizer
M:Microsoft.ML.Transforms.Text.TextFeaturizingEstimator.Options.set_VectorNormalizer(Microsoft.ML.Transforms.Text.TextFeaturizingEstimator.TextNormKind)
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T:Microsoft.ML.Transforms.Text.TextNormalizingEstimator
M:Microsoft.ML.Transforms.Text.TextNormalizingEstimator.GetOutputSchema(Microsoft.ML.SchemaShape)
T:Microsoft.ML.Transforms.Text.TextNormalizingEstimator.CaseNormalizationMode
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M:Microsoft.ML.Transforms.Text.TextNormalizingTransformer.get_Columns
T:Microsoft.ML.Transforms.Text.TokenizingByCharactersEstimator
M:Microsoft.ML.Transforms.Text.TokenizingByCharactersEstimator.GetOutputSchema(Microsoft.ML.SchemaShape)
T:Microsoft.ML.Transforms.Text.TokenizingByCharactersTransformer
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M:Microsoft.ML.Transforms.Text.TokenizingByCharactersTransformer.get_Columns
T:Microsoft.ML.Transforms.Text.WordBagEstimator
M:Microsoft.ML.Transforms.Text.WordBagEstimator.Fit(Microsoft.Data.DataView.IDataView)
T:Microsoft.ML.Transforms.Text.WordEmbeddingsExtractingEstimator
M:Microsoft.ML.Transforms.Text.WordEmbeddingsExtractingEstimator.Fit(Microsoft.Data.DataView.IDataView)
M:Microsoft.ML.Transforms.Text.WordEmbeddingsExtractingEstimator.GetOutputSchema(Microsoft.ML.SchemaShape)
T:Microsoft.ML.Transforms.Text.WordEmbeddingsExtractingEstimator.ColumnInfo
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F:Microsoft.ML.Transforms.Text.WordEmbeddingsExtractingEstimator.PretrainedModelKind.GloVe100D
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T:Microsoft.ML.Transforms.Text.WordEmbeddingsExtractingTransformer
P:Microsoft.ML.Transforms.Text.WordEmbeddingsExtractingTransformer.Columns
M:Microsoft.ML.Transforms.Text.WordEmbeddingsExtractingTransformer.get_Columns
T:Microsoft.ML.Transforms.Text.WordHashBagEstimator
M:Microsoft.ML.Transforms.Text.WordHashBagEstimator.Fit(Microsoft.Data.DataView.IDataView)
T:Microsoft.ML.Transforms.Text.WordTokenizingEstimator
M:Microsoft.ML.Transforms.Text.WordTokenizingEstimator.GetOutputSchema(Microsoft.ML.SchemaShape)
T:Microsoft.ML.Transforms.Text.WordTokenizingEstimator.ColumnInfo
F:Microsoft.ML.Transforms.Text.WordTokenizingEstimator.ColumnInfo.Separators
F:Microsoft.ML.Transforms.Text.WordTokenizingEstimator.ColumnInfo.InputColumnName
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M:Microsoft.ML.Transforms.Text.WordTokenizingEstimator.ColumnInfo.#ctor(System.String,System.String,System.Char[])
T:Microsoft.ML.Transforms.Text.WordTokenizingTransformer
P:Microsoft.ML.Transforms.Text.WordTokenizingTransformer.Columns
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#Resolved

@TomFinley TomFinley merged commit bd00c1e into dotnet:master Feb 20, 2019
@artidoro artidoro deleted the transform branch March 13, 2019 17:55
@ghost ghost locked as resolved and limited conversation to collaborators Mar 24, 2022
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