Merge pull request #11728 from pkulikov/updated-clustering-tutorial

ML.NET: update clustering tutorial to ML.NET preview

Author: JRAlexander

docs/machine-learning/tutorials/iris-clustering.md

@@ -3,7 +3,7 @@ title: Cluster iris flowers using a clustering learner - ML.NET
 description: Learn how to use ML.NET in a clustering scenario
 author: pkulikov
 ms.author: johalex
-ms.date: 03/18/2019
+ms.date: 04/08/2019
 ms.topic: tutorial
 ms.custom: mvc, seodec18
 #Customer intent: As a developer, I want to use ML.NET so that I can build a model to cluster iris flowers based on its parameters.
@@ -13,7 +13,7 @@ ms.custom: mvc, seodec18
 > [!NOTE]
 > This topic refers to ML.NET, which is currently in Preview, and material may be subject to change. For more information, see the [ML.NET introduction](https://www.microsoft.com/net/learn/apps/machine-learning-and-ai/ml-dotnet).
 
-This tutorial and related sample are currently using **ML.NET version 0.11**. For more information, see the release notes at the [dotnet/machinelearning GitHub repo](https://github.com/dotnet/machinelearning/tree/master/docs/release-notes).
+This tutorial and related sample are currently using **ML.NET 1.0 RC (Release Candidate) (version `1.0.0-preview`)**. For more information, see the release notes at the [dotnet/machinelearning GitHub repo](https://github.com/dotnet/machinelearning/tree/master/docs/release-notes).
 
 This tutorial illustrates how to use ML.NET to build a [clustering model](../resources/tasks.md#clustering) for the [iris flower data set](https://en.wikipedia.org/wiki/Iris_flower_data_set).
 
@@ -122,17 +122,16 @@ The <xref:Microsoft.ML.MLContext?displayProperty=nameWithType> class represents
 
 Add the following code to the `Main` method to setup the way to load data:
 
-[!code-csharp[Create text loader](~/samples/machine-learning/tutorials/IrisFlowerClustering/Program.cs#SetupTextLoader)]
+[!code-csharp[Create text loader](~/samples/machine-learning/tutorials/IrisFlowerClustering/Program.cs#CreateDataView)]
 
-Load the data using the generic `MLContext.Data.LoadFromTextFile` wrapper for the [LoadFromTextFile method](xref:Microsoft.ML.TextLoaderSaverCatalog.LoadFromTextFile%60%601%28Microsoft.ML.DataOperationsCatalog,System.String,System.Char,System.Boolean,System.Boolean,System.Boolean,System.Boolean%29). It returns a
-<xref:Microsoft.Data.DataView.IDataView> which infers the dataset schema from the `IrisData` data model type, uses the dataset header and is separated by a comma.
+The generic [`MLContext.Data.LoadFromTextFile` extension method](xref:Microsoft.ML.TextLoaderSaverCatalog.LoadFromTextFile%60%601%28Microsoft.ML.DataOperationsCatalog,System.String,System.Char,System.Boolean,System.Boolean,System.Boolean,System.Boolean%29) infers the data set schema from the provided `IrisData` type and returns <xref:Microsoft.ML.IDataView> which can be used as input for transformers.
 
 ## Create a learning pipeline
 
 For this tutorial, the learning pipeline of the clustering task comprises two following steps:
 
 - concatenate loaded columns into one **Features** column, which is used by a clustering trainer;
-- use a <xref:Microsoft.ML.Trainers.KMeansPlusPlusTrainer> trainer to train the model using the k-means++ clustering algorithm.
+- use a <xref:Microsoft.ML.Trainers.KMeansTrainer> trainer to train the model using the k-means++ clustering algorithm.
 
 Add the following code to the `Main` method: