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Merged
merged 6 commits into from
Jun 9, 2018
Merged

disable ols #286

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ec292b3
disable ols
Jun 1, 2018
fa1f7c6
update entrypointcatalog baselines
Jun 1, 2018
90472be
Merge branch 'master' into ivanidze/disable_ols
Jun 6, 2018
d3a5b05
merge master
Jun 8, 2018
08212b8
rebuild CSharpApi
Jun 8, 2018
bc0844c
fix CSharpApi.cs
Jun 8, 2018
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fix CSharpApi.cs
  • Loading branch information
Ivan Matantsev committed Jun 8, 2018
commit bc0844cbc9e33cd1cf52be1c3028c2e988cf6143
48 changes: 24 additions & 24 deletions src/Microsoft.ML/CSharpApi.cs
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Expand Up @@ -1501,7 +1501,7 @@ public sealed partial class TextLoaderArguments
/// <summary>
/// Column groups. Each group is specified as name:type:numeric-ranges, eg, col=Features:R4:1-17,26,35-40
/// </summary>
public Microsoft.ML.TextLoaderColumn[] Column { get; set; }
public TextLoaderColumn[] Column { get; set; }

/// <summary>
/// Remove trailing whitespace from lines
Expand All @@ -1525,17 +1525,17 @@ public sealed partial class TextLoaderColumn
/// <summary>
/// Type of the items in the column
/// </summary>
public Microsoft.ML.DataKind? Type { get; set; }
public DataKind? Type { get; set; }

/// <summary>
/// Source index range(s) of the column
/// </summary>
public Microsoft.ML.TextLoaderRange[] Source { get; set; }
public TextLoaderRange[] Source { get; set; }

/// <summary>
/// For a key column, this defines the range of values
/// </summary>
public Microsoft.ML.KeyRange KeyRange { get; set; }
public KeyRange KeyRange { get; set; }

}

Expand Down Expand Up @@ -13699,7 +13699,7 @@ public sealed class AutoMlStateAutoMlStateBase : AutoMlStateBase
/// <summary>
/// Supported metric for evaluator.
/// </summary>
public Microsoft.ML.Microsoft.ML.Runtime.AutoInferenceAutoMlMlStateArgumentsMetrics Metric { get; set; } = Microsoft.ML.Microsoft.ML.Runtime.AutoInferenceAutoMlMlStateArgumentsMetrics.Auc;
public Microsoft.ML.Runtime.AutoInferenceAutoMlMlStateArgumentsMetrics Metric { get; set; } = Microsoft.ML.Runtime.AutoInferenceAutoMlMlStateArgumentsMetrics.Auc;

/// <summary>
/// AutoML engine (pipeline optimizer) that generates next candidates.
Expand All @@ -13710,7 +13710,7 @@ public sealed class AutoMlStateAutoMlStateBase : AutoMlStateBase
/// <summary>
/// Kind of trainer for task, such as binary classification trainer, multiclass trainer, etc.
/// </summary>
public Microsoft.ML.Microsoft.ML.Models.MacroUtilsTrainerKinds TrainerKind { get; set; } = Microsoft.ML.Microsoft.ML.Models.MacroUtilsTrainerKinds.SignatureBinaryClassifierTrainer;
public Microsoft.ML.Models.MacroUtilsTrainerKinds TrainerKind { get; set; } = Microsoft.ML.Models.MacroUtilsTrainerKinds.SignatureBinaryClassifierTrainer;

/// <summary>
/// Arguments for creating terminator, which determines when to stop search.
Expand Down Expand Up @@ -13966,7 +13966,7 @@ public sealed class FastTreeBinaryClassificationFastTreeTrainer : FastTreeTraine
/// <summary>
/// Optimization algorithm to be used (GradientDescent, AcceleratedGradientDescent)
/// </summary>
public Microsoft.ML.Microsoft.ML.Trainers.BoostedTreeArgsOptimizationAlgorithmType OptimizationAlgorithm { get; set; } = Microsoft.ML.Microsoft.ML.Trainers.BoostedTreeArgsOptimizationAlgorithmType.GradientDescent;
public Microsoft.ML.Trainers.BoostedTreeArgsOptimizationAlgorithmType OptimizationAlgorithm { get; set; } = Microsoft.ML.Trainers.BoostedTreeArgsOptimizationAlgorithmType.GradientDescent;

/// <summary>
/// Early stopping rule. (Validation set (/valid) is required.)
Expand Down Expand Up @@ -14131,7 +14131,7 @@ public sealed class FastTreeBinaryClassificationFastTreeTrainer : FastTreeTraine
/// <summary>
/// Bundle low population bins. Bundle.None(0): no bundling, Bundle.AggregateLowPopulation(1): Bundle low population, Bundle.Adjacent(2): Neighbor low population bundle.
/// </summary>
public Microsoft.ML.Microsoft.ML.Trainers.Bundle Bundling { get; set; } = Microsoft.ML.Microsoft.ML.Trainers.Bundle.None;
public Microsoft.ML.Trainers.Bundle Bundling { get; set; } = Microsoft.ML.Trainers.Bundle.None;

/// <summary>
/// Maximum number of distinct values (bins) per feature
Expand Down Expand Up @@ -14274,12 +14274,12 @@ public sealed class FastTreeBinaryClassificationFastTreeTrainer : FastTreeTraine
/// <summary>
/// Normalize option for the feature column
/// </summary>
public Microsoft.ML.Microsoft.ML.Models.NormalizeOption NormalizeFeatures { get; set; } = Microsoft.ML.Microsoft.ML.Models.NormalizeOption.Auto;
public Microsoft.ML.Models.NormalizeOption NormalizeFeatures { get; set; } = Microsoft.ML.Models.NormalizeOption.Auto;

/// <summary>
/// Whether learner should cache input training data
/// </summary>
public Microsoft.ML.Microsoft.ML.Models.CachingOptions Caching { get; set; } = Microsoft.ML.Microsoft.ML.Models.CachingOptions.Auto;
public Microsoft.ML.Models.CachingOptions Caching { get; set; } = Microsoft.ML.Models.CachingOptions.Auto;

internal override string ComponentName => "FastTreeBinaryClassification";
}
Expand Down Expand Up @@ -14354,7 +14354,7 @@ public sealed class FastTreeRankingFastTreeTrainer : FastTreeTrainer
/// <summary>
/// Optimization algorithm to be used (GradientDescent, AcceleratedGradientDescent)
/// </summary>
public Microsoft.ML.Microsoft.ML.Trainers.BoostedTreeArgsOptimizationAlgorithmType OptimizationAlgorithm { get; set; } = Microsoft.ML.Microsoft.ML.Trainers.BoostedTreeArgsOptimizationAlgorithmType.GradientDescent;
public Microsoft.ML.Trainers.BoostedTreeArgsOptimizationAlgorithmType OptimizationAlgorithm { get; set; } = Microsoft.ML.Trainers.BoostedTreeArgsOptimizationAlgorithmType.GradientDescent;

/// <summary>
/// Early stopping rule. (Validation set (/valid) is required.)
Expand Down Expand Up @@ -14519,7 +14519,7 @@ public sealed class FastTreeRankingFastTreeTrainer : FastTreeTrainer
/// <summary>
/// Bundle low population bins. Bundle.None(0): no bundling, Bundle.AggregateLowPopulation(1): Bundle low population, Bundle.Adjacent(2): Neighbor low population bundle.
/// </summary>
public Microsoft.ML.Microsoft.ML.Trainers.Bundle Bundling { get; set; } = Microsoft.ML.Microsoft.ML.Trainers.Bundle.None;
public Microsoft.ML.Trainers.Bundle Bundling { get; set; } = Microsoft.ML.Trainers.Bundle.None;

/// <summary>
/// Maximum number of distinct values (bins) per feature
Expand Down Expand Up @@ -14662,12 +14662,12 @@ public sealed class FastTreeRankingFastTreeTrainer : FastTreeTrainer
/// <summary>
/// Normalize option for the feature column
/// </summary>
public Microsoft.ML.Microsoft.ML.Models.NormalizeOption NormalizeFeatures { get; set; } = Microsoft.ML.Microsoft.ML.Models.NormalizeOption.Auto;
public Microsoft.ML.Models.NormalizeOption NormalizeFeatures { get; set; } = Microsoft.ML.Models.NormalizeOption.Auto;

/// <summary>
/// Whether learner should cache input training data
/// </summary>
public Microsoft.ML.Microsoft.ML.Models.CachingOptions Caching { get; set; } = Microsoft.ML.Microsoft.ML.Models.CachingOptions.Auto;
public Microsoft.ML.Models.CachingOptions Caching { get; set; } = Microsoft.ML.Models.CachingOptions.Auto;

internal override string ComponentName => "FastTreeRanking";
}
Expand Down Expand Up @@ -14702,7 +14702,7 @@ public sealed class FastTreeRegressionFastTreeTrainer : FastTreeTrainer
/// <summary>
/// Optimization algorithm to be used (GradientDescent, AcceleratedGradientDescent)
/// </summary>
public Microsoft.ML.Microsoft.ML.Trainers.BoostedTreeArgsOptimizationAlgorithmType OptimizationAlgorithm { get; set; } = Microsoft.ML.Microsoft.ML.Trainers.BoostedTreeArgsOptimizationAlgorithmType.GradientDescent;
public Microsoft.ML.Trainers.BoostedTreeArgsOptimizationAlgorithmType OptimizationAlgorithm { get; set; } = Microsoft.ML.Trainers.BoostedTreeArgsOptimizationAlgorithmType.GradientDescent;

/// <summary>
/// Early stopping rule. (Validation set (/valid) is required.)
Expand Down Expand Up @@ -14867,7 +14867,7 @@ public sealed class FastTreeRegressionFastTreeTrainer : FastTreeTrainer
/// <summary>
/// Bundle low population bins. Bundle.None(0): no bundling, Bundle.AggregateLowPopulation(1): Bundle low population, Bundle.Adjacent(2): Neighbor low population bundle.
/// </summary>
public Microsoft.ML.Microsoft.ML.Trainers.Bundle Bundling { get; set; } = Microsoft.ML.Microsoft.ML.Trainers.Bundle.None;
public Microsoft.ML.Trainers.Bundle Bundling { get; set; } = Microsoft.ML.Trainers.Bundle.None;

/// <summary>
/// Maximum number of distinct values (bins) per feature
Expand Down Expand Up @@ -15010,12 +15010,12 @@ public sealed class FastTreeRegressionFastTreeTrainer : FastTreeTrainer
/// <summary>
/// Normalize option for the feature column
/// </summary>
public Microsoft.ML.Microsoft.ML.Models.NormalizeOption NormalizeFeatures { get; set; } = Microsoft.ML.Microsoft.ML.Models.NormalizeOption.Auto;
public Microsoft.ML.Models.NormalizeOption NormalizeFeatures { get; set; } = Microsoft.ML.Models.NormalizeOption.Auto;

/// <summary>
/// Whether learner should cache input training data
/// </summary>
public Microsoft.ML.Microsoft.ML.Models.CachingOptions Caching { get; set; } = Microsoft.ML.Microsoft.ML.Models.CachingOptions.Auto;
public Microsoft.ML.Models.CachingOptions Caching { get; set; } = Microsoft.ML.Models.CachingOptions.Auto;

internal override string ComponentName => "FastTreeRegression";
}
Expand Down Expand Up @@ -15055,7 +15055,7 @@ public sealed class FastTreeTweedieRegressionFastTreeTrainer : FastTreeTrainer
/// <summary>
/// Optimization algorithm to be used (GradientDescent, AcceleratedGradientDescent)
/// </summary>
public Microsoft.ML.Microsoft.ML.Trainers.BoostedTreeArgsOptimizationAlgorithmType OptimizationAlgorithm { get; set; } = Microsoft.ML.Microsoft.ML.Trainers.BoostedTreeArgsOptimizationAlgorithmType.GradientDescent;
public Microsoft.ML.Trainers.BoostedTreeArgsOptimizationAlgorithmType OptimizationAlgorithm { get; set; } = Microsoft.ML.Trainers.BoostedTreeArgsOptimizationAlgorithmType.GradientDescent;

/// <summary>
/// Early stopping rule. (Validation set (/valid) is required.)
Expand Down Expand Up @@ -15220,7 +15220,7 @@ public sealed class FastTreeTweedieRegressionFastTreeTrainer : FastTreeTrainer
/// <summary>
/// Bundle low population bins. Bundle.None(0): no bundling, Bundle.AggregateLowPopulation(1): Bundle low population, Bundle.Adjacent(2): Neighbor low population bundle.
/// </summary>
public Microsoft.ML.Microsoft.ML.Trainers.Bundle Bundling { get; set; } = Microsoft.ML.Microsoft.ML.Trainers.Bundle.None;
public Microsoft.ML.Trainers.Bundle Bundling { get; set; } = Microsoft.ML.Trainers.Bundle.None;

/// <summary>
/// Maximum number of distinct values (bins) per feature
Expand Down Expand Up @@ -15363,12 +15363,12 @@ public sealed class FastTreeTweedieRegressionFastTreeTrainer : FastTreeTrainer
/// <summary>
/// Normalize option for the feature column
/// </summary>
public Microsoft.ML.Microsoft.ML.Models.NormalizeOption NormalizeFeatures { get; set; } = Microsoft.ML.Microsoft.ML.Models.NormalizeOption.Auto;
public Microsoft.ML.Models.NormalizeOption NormalizeFeatures { get; set; } = Microsoft.ML.Models.NormalizeOption.Auto;

/// <summary>
/// Whether learner should cache input training data
/// </summary>
public Microsoft.ML.Microsoft.ML.Models.CachingOptions Caching { get; set; } = Microsoft.ML.Microsoft.ML.Models.CachingOptions.Auto;
public Microsoft.ML.Models.CachingOptions Caching { get; set; } = Microsoft.ML.Models.CachingOptions.Auto;

internal override string ComponentName => "FastTreeTweedieRegression";
}
Expand Down Expand Up @@ -15405,7 +15405,7 @@ public sealed class NGramNgramExtractor : NgramExtractor
/// <summary>
/// The weighting criteria
/// </summary>
public Microsoft.ML.Microsoft.ML.Transforms.NgramTransformWeightingCriteria Weighting { get; set; } = Microsoft.ML.Microsoft.ML.Transforms.NgramTransformWeightingCriteria.Tf;
public Microsoft.ML.Transforms.NgramTransformWeightingCriteria Weighting { get; set; } = Microsoft.ML.Transforms.NgramTransformWeightingCriteria.Tf;

internal override string ComponentName => "NGram";
}
Expand Down Expand Up @@ -15513,7 +15513,7 @@ public sealed class SimplePathParserPartitionedPathParser : PartitionedPathParse
/// <summary>
/// Data type of each column.
/// </summary>
public Microsoft.ML.Microsoft.ML.Transforms.DataKind Type { get; set; } = Microsoft.ML.Microsoft.ML.Transforms.DataKind.TX;
public Microsoft.ML.Transforms.DataKind Type { get; set; } = Microsoft.ML.Transforms.DataKind.TX;

internal override string ComponentName => "SimplePathParser";
}
Expand Down