Address PR comments #1

Author: Shahab Moradi

src/Microsoft.ML.PCA/PcaTransform.cs

@@ -3,8 +3,10 @@
 // See the LICENSE file in the project root for more information.
 
 using System;
+using System.Collections.Generic;
 using System.Linq;
 using System.Text;
+using Microsoft.ML.Core.Data;
 using Microsoft.ML.Runtime;
 using Microsoft.ML.Runtime.CommandLine;
 using Microsoft.ML.Runtime.Data;
@@ -13,10 +15,8 @@
 using Microsoft.ML.Runtime.Internal.Utilities;
 using Microsoft.ML.Runtime.Model;
 using Microsoft.ML.Runtime.Numeric;
-using Microsoft.ML.Core.Data;
 using Microsoft.ML.StaticPipe;
 using Microsoft.ML.StaticPipe.Runtime;
-using System.Collections.Generic;
 
 [assembly: LoadableClass(PcaTransform.Summary, typeof(IDataTransform), typeof(PcaTransform), typeof(PcaTransform.Arguments), typeof(SignatureDataTransform),
     PcaTransform.UserName, PcaTransform.LoaderSignature, PcaTransform.ShortName)]

test/Microsoft.ML.Tests/Transformers/PcaTests.cs

@@ -20,7 +20,7 @@ public sealed class PcaTests : TestDataPipeBase
         public PcaTests(ITestOutputHelper helper)
             : base(helper)
         {
-            _env = new ConsoleEnvironment(seed: 1, conc: 1);
+            _env = new ConsoleEnvironment(seed: 1);
             _dataSource = GetDataPath("generated_regression_dataset.csv");
             _saver = new TextSaver(_env, new TextSaver.Arguments { Silent = true, OutputHeader = false });
         }
@@ -31,12 +31,12 @@ public void PcaWorkout()
             var data = TextLoader.CreateReader(_env,
                 c => (label: c.LoadFloat(11), weight: c.LoadFloat(0), features: c.LoadFloat(1, 10)),
                 separator: ';', hasHeader: true)
-                .Read(new MultiFileSource(_dataSource));
+                .Read(_dataSource);
 
             var invalidData = TextLoader.CreateReader(_env,
                 c => (label: c.LoadFloat(11), weight: c.LoadFloat(0), features: c.LoadText(1, 10)),
                 separator: ';', hasHeader: true)
-                .Read(new MultiFileSource(_dataSource));
+                .Read(_dataSource);
 
             var est = new PcaEstimator(_env, "features", "pca", rank: 4, seed: 10);
             TestEstimatorCore(est, data.AsDynamic, invalidInput: invalidData.AsDynamic);
@@ -53,7 +53,7 @@ public void TestPcaEstimator()
             var data = TextLoader.CreateReader(_env,
                 c => (label: c.LoadFloat(11), features: c.LoadFloat(0, 10)),
                 separator: ';', hasHeader: true)
-                .Read(new MultiFileSource(_dataSource));
+                .Read(_dataSource);
 
             var est = new PcaEstimator(_env, "features", "pca", rank: 5, seed: 1);
             var outputPath = GetOutputPath("PCA", "pca.tsv");
@@ -76,7 +76,7 @@ public void TestPcaPigsty()
             var reader = TextLoader.CreateReader(_env,
                 c => (label: c.LoadFloat(11), features1: c.LoadFloat(0, 10)),
                 separator: ';', hasHeader: true);
-            var data = reader.Read(new MultiFileSource(_dataSource));
+            var data = reader.Read(_dataSource);
             var pipeline = reader.MakeNewEstimator()
                 .Append(r => (r.label, pca: r.features1.ToPrincipalComponents(rank: 5, seed: 1)));