Updated 0.9 (#10222)

* Updated to 0.9

* Updated Date

* Updated to 0.9

Author: luisquintanilla

docs/machine-learning/how-to-guides/load-data-from-mult-column-csv-ml-net.md

@@ -1,7 +1,7 @@
 ---
 title: Load data with many columns from a CSV file for machine learning processing - ML.NET
 description: Learn how to load data data with many columns from a CSV file for use in machine learning model building, training, and scoring with ML.NET
-ms.date: 01/28/2019
+ms.date: 01/29/2019
 ms.custom: mvc,how-to
 #Customer intent: As a developer, I want to load data with large numbers of columns from a CSV file so that I can use it in machine learning model building, training, and scoring with ML.NET.
 ---
@@ -14,10 +14,10 @@ When the input file contains many columns of the same type and always used toget
 [Example file](https://github.com/dotnet/machinelearning/tree/master/test/data/generated_regression_dataset.csv):
 
 ```console
--2.75,0.77,-0.61,0.14,1.39,0.38,-0.53,-0.50,-2.13,-0.39,0.46,140.66
--0.61,-0.37,-0.12,0.55,-1.00,0.84,-0.02,1.30,-0.24,-0.50,-2.12,148.12
--0.85,-0.91,1.81,0.02,-0.78,-1.41,-1.09,-0.65,0.90,-0.37,-0.22,402.20
-0.28,1.05,-0.24,0.30,-0.99,0.19,0.32,-0.95,-1.19,-0.63,0.75,443.51
+-2.75;0.77;-0.61;0.14;1.39;0.38;-0.53;-0.50;-2.13;-0.39;0.46;140.66
+-0.61;-0.37;-0.12;0.55;-1.00;0.84;-0.02;1.30;-0.24;-0.50;-2.12;148.12
+-0.85;-0.91;1.81;0.02;-0.78;-1.41;-1.09;-0.65;0.90;-0.37;-0.22;402.20
+0.28;1.05;-0.24;0.30;-0.99;0.19;0.32;-0.95;-1.19;-0.63;0.75;443.51
 ```
 
 Reading this file using `TextLoader`:

docs/machine-learning/how-to-guides/load-data-from-multiple-files-ml-net.md

@@ -1,7 +1,7 @@
 ---
 title: Load data from multiple files for machine learning processing - ML.NET
 description: Learn how to Load data from multiple files for use in machine learning model building, training, and scoring with ML.NET
-ms.date: 11/07/2018
+ms.date: 01/29/2019
 ms.custom: mvc,how-to
 #Customer intent: As a developer, I want to load data from multiple files so that I can use it in machine learning model building, training, and scoring with ML.NET.
 ---
@@ -18,19 +18,19 @@ Use the `TextLoader`, and specify an array of files to the `Read` method. The fi
 var mlContext = new MLContext();
 
 // Create the reader: define the data columns and where to find them in the text file.
-var reader = mlContext.Data.TextReader(new TextLoader.Arguments
-{
-    Column = new[] {
-        // A boolean column depicting the 'label'.
-        new TextLoader.Column("IsOver50k", DataKind.BL, 0),
+var reader = mlContext.Data.CreateTextReader(
+    columns: new TextLoader.Column[]
+    {
+        // A boolean column depicting the 'target label'.
+        new TextLoader.Column("IsOver50k",DataKind.BL,0),
         // Three text columns.
-        new TextLoader.Column("Workclass", DataKind.TX, 1),
-        new TextLoader.Column("Education", DataKind.TX, 2),
-        new TextLoader.Column("MaritalStatus", DataKind.TX, 3)
+        new TextLoader.Column("WorkClass",DataKind.TX,1),
+        new TextLoader.Column("Education",DataKind.TX,2),
+        new TextLoader.Column("MaritalStatus",DataKind.TX,3)
     },
-    // First line of the file is a header, not a data row.
-    HasHeader = true
-});
+    hasHeader: true
+);
 
+// Now read the files (remember though, readers are lazy, so the actual reading will happen when the data is accessed).
 var data = reader.Read(exampleFile1, exampleFile2);
 ```

docs/machine-learning/how-to-guides/load-data-from-text-file-ml-net.md

@@ -1,7 +1,7 @@
 ---
 title: Load data from a text file for machine learning processing - ML.NET
 description: Discover how to load data from a text file for use in machine learning model building, training, and scoring with ML.NET
-ms.date: 11/07/2018
+ms.date: 01/29/2019
 ms.custom: mvc,how-to
 #Customer intent: As a developer, I want to load data from a text file so that I can use it in machine learning model building, training, and scoring with ML.NET.
 ---
@@ -13,7 +13,8 @@ ms.custom: mvc,how-to
 Note that it's perfectly acceptable to read some columns of a file, or read the same column multiple times.
 
 [Example file](https://github.com/dotnet/machinelearning/blob/master/test/data/adult.tiny.with-schema.txt):
-```
+
+```console
 Label	Workclass	education	marital-status
 0	Private	11th	Never-married
 0	Private	HS-grad	Married-civ-spouse
@@ -27,26 +28,21 @@ To load the data from a text file:
 // Create a new context for ML.NET operations. It can be used for exception tracking and logging, 
 // as a catalog of available operations and as the source of randomness.
 var mlContext = new MLContext();
-TextLoader textLoader;
 
 // Create the reader: define the data columns and where to find them in the text file.
-textLoader = mlContext.Data.TextReader(new TextLoader.Arguments()
-{
-    Separator = ",",
-    HasHeader = true,
-    Column = new[]
-                {
-                    new TextLoader.Column("VendorId", DataKind.Text, 0),
-                    new TextLoader.Column("RateCode", DataKind.Text, 1),
-                    new TextLoader.Column("PassengerCount", DataKind.R4, 2),
-                    new TextLoader.Column("TripTime", DataKind.R4, 3),
-                    new TextLoader.Column("TripDistance", DataKind.R4, 4),
-                    new TextLoader.Column("PaymentType", DataKind.Text, 5),
-                    new TextLoader.Column("FareAmount", DataKind.R4, 6)
-                }
-}
+var reader = mlContext.Data.CreateTextReader(
+    columns: new TextLoader.Column[]
+    {
+        // A boolean column depicting the 'target label'.
+        new TextLoader.Column("IsOver50k",DataKind.BL,0),
+        // Three text columns.
+        new TextLoader.Column("WorkClass",DataKind.TX,1),
+        new TextLoader.Column("Education",DataKind.TX,2),
+        new TextLoader.Column("MaritalStatus",DataKind.TX,3)
+    },
+    hasHeader: true
 );
 
-// Now read the file (remember though, readers are lazy, so the reading will happen when the data is accessed).
-var data = textLoader.Read(dataPath);
+// Now read the file (remember though, readers are lazy, so the actual reading will happen when the data is accessed).
+var data = reader.Read(dataPath);
 ```