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[AutoML] rename Auto to AutoML in namespace and nuget (dotnet#3609)
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* mlnet CLI nupkg creation/signing
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Dmitry-A committed Aug 22, 2019
1 parent 48a000f commit ecf67f8
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2 changes: 1 addition & 1 deletion Microsoft.ML.AutoML.sln
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# Visual Studio 15
VisualStudioVersion = 15.0.28010.2050
MinimumVisualStudioVersion = 10.0.40219.1
Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.Auto", "src\Microsoft.ML.Auto\Microsoft.ML.Auto.csproj", "{B3727729-3DF8-47E0-8710-9B41DAF55817}"
Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.AutML", "src\Microsoft.ML.AutoML\Microsoft.ML.AutoML.csproj", "{B3727729-3DF8-47E0-8710-9B41DAF55817}"
EndProject
Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.AutoML.Tests", "test\Microsoft.ML.AutoML.Tests\Microsoft.ML.AutoML.Tests.csproj", "{55ACB7E2-053D-43BB-88E8-0E102FBD62F0}"
EndProject
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using System;
using System.IO;
using System.Linq;
using Microsoft.ML.Auto;
using Microsoft.ML.AutoML;
using Microsoft.ML.Data;

namespace Microsoft.ML.AutoML.Samples
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</PropertyGroup>

<ItemGroup>
<ProjectReference Include="..\..\..\src\Microsoft.ML.Auto\Microsoft.ML.Auto.csproj" />
<ProjectReference Include="..\..\..\src\Microsoft.ML.AutoML\Microsoft.ML.AutoML.csproj" />
</ItemGroup>

</Project>
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using System;
using System.IO;
using System.Linq;
using Microsoft.ML.Auto;
using Microsoft.ML.AutoML;
using Microsoft.ML.Data;

namespace Microsoft.ML.AutoML.Samples
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using System;
using System.IO;
using System.Linq;
using Microsoft.ML.Auto;
using Microsoft.ML.AutoML;
using Microsoft.ML.Data;

namespace Microsoft.ML.AutoML.Samples
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5 changes: 0 additions & 5 deletions pkg/Microsoft.ML.Auto/Microsoft.ML.Auto.symbols.nupkgproj

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5 changes: 5 additions & 0 deletions pkg/Microsoft.ML.AutoML/Microsoft.ML.AutoML.symbols.nupkgproj
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<Project DefaultTargets="Pack">

<Import Project="Microsoft.ML.AutoML.nupkgproj" />

</Project>
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using Microsoft.ML.Data;

namespace Microsoft.ML.Auto
namespace Microsoft.ML.AutoML
{
/// <summary>
/// A catalog of all available AutoML tasks.
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using Microsoft.ML.Trainers.FastTree;
using Microsoft.ML.Trainers.LightGbm;

namespace Microsoft.ML.Auto
namespace Microsoft.ML.AutoML
{
/// <summary>
/// Settings for AutoML experiments on binary classification datasets.
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using System.Collections.ObjectModel;
using Microsoft.ML.Data;

namespace Microsoft.ML.Auto
namespace Microsoft.ML.AutoML
{
/// <summary>
/// Contains information AutoML inferred about columns in a dataset.
Expand All @@ -26,7 +26,7 @@ public sealed class ColumnInferenceResults
/// Information about the inferred columns in the dataset.
/// </summary>
/// <remarks>
/// <para>Contains the inferred purposes of each column. See <see cref="Auto.ColumnInformation"/> for more details.</para>
/// <para>Contains the inferred purposes of each column. See <see cref="AutoML.ColumnInformation"/> for more details.</para>
/// <para>This can be fed to the AutoML API when running an experiment.
/// See <typeref cref="ExperimentBase{TMetrics, TExperimentSettings}.Execute(IDataView, ColumnInformation, IEstimator{ITransformer}, System.IProgress{RunDetail{TMetrics}})" />
/// for example.</para>
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using System;
using System.Collections.Generic;

namespace Microsoft.ML.Auto
namespace Microsoft.ML.AutoML
{
/// <summary>
/// AutoML experiment base class. All task-specific AutoML experiments
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using System.Collections.Generic;
using Microsoft.ML.Data;

namespace Microsoft.ML.Auto
namespace Microsoft.ML.AutoML
{
/// <summary>
/// Result of an AutoML experiment that includes cross validation details.
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using System.Collections.Generic;
using Microsoft.ML.Data;

namespace Microsoft.ML.Auto
namespace Microsoft.ML.AutoML
{
/// <summary>
/// Result of an AutoML experiment.
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using System.IO;
using System.Threading;

namespace Microsoft.ML.Auto
namespace Microsoft.ML.AutoML
{
/// <summary>
/// Base class for experiment settings. All task-specific AutoML experiment settings
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/// (Please note: for an experiment with high runtime operating on a large dataset, opting to keep models in
/// memory could cause a system to run out of memory.)
/// </summary>
public DirectoryInfo CacheDirectory { get; set; } = new DirectoryInfo(Path.Combine(Path.GetTempPath(), "Microsoft.ML.Auto"));
public DirectoryInfo CacheDirectory { get; set; } = new DirectoryInfo(Path.Combine(Path.GetTempPath(), "Microsoft.ML.AutoML"));

/// <summary>
/// Whether AutoML should cache before ML.NET trainers.
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using System;

namespace Microsoft.ML.Auto
namespace Microsoft.ML.AutoML
{
/// <summary>
/// Type of exception encountered by AutoML.
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// The .NET Foundation licenses this file to you under the MIT license.
// See the LICENSE file in the project root for more information.

namespace Microsoft.ML.Auto
namespace Microsoft.ML.AutoML
{
/// <summary>
/// Class containing AutoML extension methods to <see cref="MLContext"/>
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using Microsoft.ML.Trainers.FastTree;
using Microsoft.ML.Trainers.LightGbm;

namespace Microsoft.ML.Auto
namespace Microsoft.ML.AutoML
{
/// <summary>
/// Settings for AutoML experiments on multiclass classification datasets.
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using System.Collections.Generic;

namespace Microsoft.ML.Auto
namespace Microsoft.ML.AutoML
{
internal class Pipeline
{
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using Microsoft.ML.Trainers.FastTree;
using Microsoft.ML.Trainers.LightGbm;

namespace Microsoft.ML.Auto
namespace Microsoft.ML.AutoML
{
/// <summary>
/// Settings for AutoML experiments on regression datasets.
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using System;
using System.Collections.Generic;

namespace Microsoft.ML.Auto
namespace Microsoft.ML.AutoML
{
/// <summary>
/// Details about a cross validation run in an AutoML experiment.
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using System;
using Microsoft.ML.Data;

namespace Microsoft.ML.Auto
namespace Microsoft.ML.AutoML
{
/// <summary>
/// Details about an AutoML experiment run.
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using System;
using System.Threading;

namespace Microsoft.ML.Auto
namespace Microsoft.ML.AutoML
{
internal static class AutoMlUtils
{
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using Microsoft.ML.Data;
using static Microsoft.ML.Data.TextLoader;

namespace Microsoft.ML.Auto
namespace Microsoft.ML.AutoML
{
/// <summary>
/// This class incapsulates logic for grouping together the inferred columns of the text file based on their type
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using System.Linq;
using Microsoft.ML.Data;

namespace Microsoft.ML.Auto
namespace Microsoft.ML.AutoML
{
internal static class ColumnInferenceApi
{
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using System;

namespace Microsoft.ML.Auto
namespace Microsoft.ML.AutoML
{
internal static class ColumnInferenceValidationUtil
{
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using System.Linq;
using Microsoft.ML.Data;

namespace Microsoft.ML.Auto
namespace Microsoft.ML.AutoML
{
internal static class ColumnInformationUtil
{
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// The .NET Foundation licenses this file to you under the MIT license.
// See the LICENSE file in the project root for more information.

namespace Microsoft.ML.Auto
namespace Microsoft.ML.AutoML
{
internal enum ColumnPurpose
{
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using System.Text.RegularExpressions;
using Microsoft.ML.Data;

namespace Microsoft.ML.Auto
namespace Microsoft.ML.AutoML
{
/// <summary>
/// This class incapsulates logic for automatic inference of column types for the text file.
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using System.Linq;
using Microsoft.ML.Data;

namespace Microsoft.ML.Auto
namespace Microsoft.ML.AutoML
{
/// <summary>
/// Automatic inference of column purposes for the data view.
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using System.Linq;
using Microsoft.ML.Data;

namespace Microsoft.ML.Auto
namespace Microsoft.ML.AutoML
{
/// <summary>
/// Utilities for various heuristics against text files.
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using System.Linq;
using Microsoft.ML.Data;

namespace Microsoft.ML.Auto
namespace Microsoft.ML.AutoML
{
/// <summary>
/// This class holds an in-memory sample of the text file, and serves as an <see cref="IMultiStreamSource"/> proxy to it.
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// The .NET Foundation licenses this file to you under the MIT license.
// See the LICENSE file in the project root for more information.

namespace Microsoft.ML.Auto
namespace Microsoft.ML.AutoML
{
internal class ColumnDimensions
{
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using Microsoft.ML.Data;

namespace Microsoft.ML.Auto
namespace Microsoft.ML.AutoML
{
internal class DatasetDimensionsApi
{
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using System.Collections.Generic;
using Microsoft.ML.Data;

namespace Microsoft.ML.Auto
namespace Microsoft.ML.AutoML
{
internal static class DatasetDimensionsUtil
{
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using System;
using System.Collections.Generic;

namespace Microsoft.ML.Auto
namespace Microsoft.ML.AutoML
{
internal enum EstimatorName
{
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using Microsoft.ML.Data;
using Microsoft.ML.Transforms;

namespace Microsoft.ML.Auto
namespace Microsoft.ML.AutoML
{
internal class ColumnConcatenatingExtension : IEstimatorExtension
{
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// The .NET Foundation licenses this file to you under the MIT license.
// See the LICENSE file in the project root for more information.

namespace Microsoft.ML.Auto
namespace Microsoft.ML.AutoML
{
internal interface IEstimatorExtension
{
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using System.IO;
using System.Linq;

namespace Microsoft.ML.Auto
namespace Microsoft.ML.AutoML
{
internal class Experiment<TRunDetail, TMetrics> where TRunDetail : RunDetail
{
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using Microsoft.ML.Data;

namespace Microsoft.ML.Auto
namespace Microsoft.ML.AutoML
{
internal class BinaryMetricsAgent : IMetricsAgent<BinaryClassificationMetrics>
{
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// The .NET Foundation licenses this file to you under the MIT license.
// See the LICENSE file in the project root for more information.

namespace Microsoft.ML.Auto
namespace Microsoft.ML.AutoML
{
internal interface IMetricsAgent<T>
{
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using System;

namespace Microsoft.ML.Auto
namespace Microsoft.ML.AutoML
{
internal static class MetricsAgentUtil
{
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using Microsoft.ML.Data;

namespace Microsoft.ML.Auto
namespace Microsoft.ML.AutoML
{
internal class MultiMetricsAgent : IMetricsAgent<MulticlassClassificationMetrics>
{
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using Microsoft.ML.Data;

namespace Microsoft.ML.Auto
namespace Microsoft.ML.AutoML
{
internal class RegressionMetricsAgent : IMetricsAgent<RegressionMetrics>
{
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