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Remove Microsoft.ML prefix from namespaces in samples binary. (#3267)
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‎docs/samples/Microsoft.ML.Samples/Dynamic/DataOperations/BootstrapSample.cs

Lines changed: 4 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -1,7 +1,8 @@
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using System;
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using System.Collections.Generic;
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using Microsoft.ML;
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namespace Microsoft.ML.Samples.Dynamic
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namespace Samples.Dynamic
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{
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public static class BootstrapSample
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{
@@ -12,7 +13,7 @@ public static void Example()
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var mlContext = new MLContext();
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// Get a small dataset as an IEnumerable and them read it as ML.NET's data type.
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IEnumerable<SamplesUtils.DatasetUtils.BinaryLabelFloatFeatureVectorFloatWeightSample> enumerableOfData = SamplesUtils.DatasetUtils.GenerateBinaryLabelFloatFeatureVectorFloatWeightSamples(5);
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IEnumerable<Microsoft.ML.SamplesUtils.DatasetUtils.BinaryLabelFloatFeatureVectorFloatWeightSample> enumerableOfData = Microsoft.ML.SamplesUtils.DatasetUtils.GenerateBinaryLabelFloatFeatureVectorFloatWeightSamples(5);
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var data = mlContext.Data.LoadFromEnumerable(enumerableOfData);
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// Look at the original dataset
@@ -43,7 +44,7 @@ public static void Example()
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{
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var resample = mlContext.Data.BootstrapSample(data, seed: i);
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var enumerable = mlContext.Data.CreateEnumerable<SamplesUtils.DatasetUtils.BinaryLabelFloatFeatureVectorFloatWeightSample>(resample, reuseRowObject: false);
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var enumerable = mlContext.Data.CreateEnumerable<Microsoft.ML.SamplesUtils.DatasetUtils.BinaryLabelFloatFeatureVectorFloatWeightSample>(resample, reuseRowObject: false);
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Console.WriteLine($"Label\tFeatures[0]");
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foreach (var row in enumerable)
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{

‎docs/samples/Microsoft.ML.Samples/Dynamic/DataOperations/Cache.cs

Lines changed: 2 additions & 1 deletion
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@@ -1,7 +1,8 @@
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using System;
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using Microsoft.ML;
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using Microsoft.ML.SamplesUtils;
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namespace Microsoft.ML.Samples.Dynamic
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namespace Samples.Dynamic
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{
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public static class Cache
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{

‎docs/samples/Microsoft.ML.Samples/Dynamic/DataOperations/CrossValidationSplit.cs

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@@ -1,8 +1,9 @@
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using System;
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using System.Collections.Generic;
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using Microsoft.ML;
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using static Microsoft.ML.DataOperationsCatalog;
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namespace Microsoft.ML.Samples.Dynamic
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namespace Samples.Dynamic
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{
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/// <summary>
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/// Sample class showing how to use CrossValidationSplit.

‎docs/samples/Microsoft.ML.Samples/Dynamic/DataOperations/DataViewEnumerable.cs

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@@ -1,8 +1,9 @@
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using System;
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using System.Collections.Generic;
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using Microsoft.ML;
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using Microsoft.ML.SamplesUtils;
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5-
namespace Microsoft.ML.Samples.Dynamic
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namespace Samples.Dynamic
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{
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/// <summary>
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/// Sample class showing how to use ShuffleRows.

‎docs/samples/Microsoft.ML.Samples/Dynamic/DataOperations/FilterRowsByColumn.cs

Lines changed: 4 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -1,7 +1,8 @@
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using System;
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using System.Collections.Generic;
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using Microsoft.ML;
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4-
namespace Microsoft.ML.Samples.Dynamic
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namespace Samples.Dynamic
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{
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/// <summary>
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/// Sample class showing how to use FilterRowsByColumn.
@@ -15,7 +16,7 @@ public static void Example()
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var mlContext = new MLContext();
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// Get a small dataset as an IEnumerable.
18-
IEnumerable<SamplesUtils.DatasetUtils.SampleTemperatureData> enumerableOfData = SamplesUtils.DatasetUtils.GetSampleTemperatureData(10);
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IEnumerable<Microsoft.ML.SamplesUtils.DatasetUtils.SampleTemperatureData> enumerableOfData = Microsoft.ML.SamplesUtils.DatasetUtils.GetSampleTemperatureData(10);
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var data = mlContext.Data.LoadFromEnumerable(enumerableOfData);
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// Before we apply a filter, examine all the records in the dataset.
@@ -42,7 +43,7 @@ public static void Example()
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var filteredData = mlContext.Data.FilterRowsByColumn(data, columnName: "Temperature", lowerBound: 34, upperBound: 37);
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// Look at the filtered data and observe that values outside [34,37) have been dropped.
45-
var enumerable = mlContext.Data.CreateEnumerable<SamplesUtils.DatasetUtils.SampleTemperatureData>(filteredData, reuseRowObject: true);
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var enumerable = mlContext.Data.CreateEnumerable<Microsoft.ML.SamplesUtils.DatasetUtils.SampleTemperatureData>(filteredData, reuseRowObject: true);
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Console.WriteLine($"Date\tTemperature");
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foreach (var row in enumerable)
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{

‎docs/samples/Microsoft.ML.Samples/Dynamic/DataOperations/FilterRowsByKeyColumnFraction.cs

Lines changed: 2 additions & 1 deletion
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@@ -1,9 +1,10 @@
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using System;
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using System.Collections.Generic;
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using Microsoft.ML;
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using Microsoft.ML.Data;
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using Microsoft.ML.SamplesUtils;
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6-
namespace Microsoft.ML.Samples.Dynamic
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namespace Samples.Dynamic
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{
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using MulticlassClassificationExample = DatasetUtils.MulticlassClassificationExample;
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‎docs/samples/Microsoft.ML.Samples/Dynamic/DataOperations/FilterRowsByMissingValues.cs

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using System;
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using Microsoft.ML;
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using Microsoft.ML.SamplesUtils;
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4-
namespace Microsoft.ML.Samples.Dynamic
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namespace Samples.Dynamic
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{
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public class FilterRowsByMissingValues
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{

‎docs/samples/Microsoft.ML.Samples/Dynamic/DataOperations/ShuffleRows.cs

Lines changed: 2 additions & 1 deletion
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using System;
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using Microsoft.ML;
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using Microsoft.ML.SamplesUtils;
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4-
namespace Microsoft.ML.Samples.Dynamic
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namespace Samples.Dynamic
56
{
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/// <summary>
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/// Sample class showing how to use ShuffleRows.

‎docs/samples/Microsoft.ML.Samples/Dynamic/DataOperations/SkipRows.cs

Lines changed: 5 additions & 3 deletions
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@@ -1,5 +1,7 @@
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using System;
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namespace Microsoft.ML.Samples.Dynamic
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using Microsoft.ML;
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namespace Samples.Dynamic
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{
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/// <summary>
57
/// Sample class showing how to use Skip.
@@ -13,7 +15,7 @@ public static void Example()
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var mlContext = new MLContext();
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// Get a small dataset as an IEnumerable.
16-
var enumerableOfData = SamplesUtils.DatasetUtils.GetSampleTemperatureData(10);
18+
var enumerableOfData = Microsoft.ML.SamplesUtils.DatasetUtils.GetSampleTemperatureData(10);
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var data = mlContext.Data.LoadFromEnumerable(enumerableOfData);
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// Before we apply a filter, examine all the records in the dataset.
@@ -40,7 +42,7 @@ public static void Example()
4042
var filteredData = mlContext.Data.SkipRows(data, 5);
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// Look at the filtered data and observe that the first 5 rows have been dropped
43-
var enumerable = mlContext.Data.CreateEnumerable<SamplesUtils.DatasetUtils.SampleTemperatureData>(filteredData, reuseRowObject: true);
45+
var enumerable = mlContext.Data.CreateEnumerable<Microsoft.ML.SamplesUtils.DatasetUtils.SampleTemperatureData>(filteredData, reuseRowObject: true);
4446
Console.WriteLine($"Date\tTemperature");
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foreach (var row in enumerable)
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{

‎docs/samples/Microsoft.ML.Samples/Dynamic/DataOperations/TakeRows.cs

Lines changed: 5 additions & 3 deletions
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@@ -1,5 +1,7 @@
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using System;
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namespace Microsoft.ML.Samples.Dynamic
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using Microsoft.ML;
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4+
namespace Samples.Dynamic
35
{
46
/// <summary>
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/// Sample class showing how to use Take.
@@ -13,7 +15,7 @@ public static void Example()
1315
var mlContext = new MLContext();
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1517
// Get a small dataset as an IEnumerable.
16-
var enumerableOfData = SamplesUtils.DatasetUtils.GetSampleTemperatureData(10);
18+
var enumerableOfData = Microsoft.ML.SamplesUtils.DatasetUtils.GetSampleTemperatureData(10);
1719
var data = mlContext.Data.LoadFromEnumerable(enumerableOfData);
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1921
// Before we apply a filter, examine all the records in the dataset.
@@ -40,7 +42,7 @@ public static void Example()
4042
var filteredData = mlContext.Data.TakeRows(data, 5);
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4244
// Look at the filtered data and observe that only the first 5 rows are in the resulting dataset.
43-
var enumerable = mlContext.Data.CreateEnumerable<SamplesUtils.DatasetUtils.SampleTemperatureData>(filteredData, reuseRowObject: true);
45+
var enumerable = mlContext.Data.CreateEnumerable<Microsoft.ML.SamplesUtils.DatasetUtils.SampleTemperatureData>(filteredData, reuseRowObject: true);
4446
Console.WriteLine($"Date\tTemperature");
4547
foreach (var row in enumerable)
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{

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