Fixing typo in ExtractWordEmbeddings (#1573)

* Fixing typo in ExtractWordEmbeddings

* Fixing an API sample

src/Microsoft.ML.Transforms/TextCatalog.cs

@@ -104,7 +104,7 @@ namespace Microsoft.ML
         /// <param name="inputColumn">The input column.</param>
         /// <param name="outputColumn">The optional output column. If it is <value>null</value> the input column will be substituted with its value.</param>
         /// <param name="modelKind">The embeddings <see cref="WordEmbeddingsTransform.PretrainedModelKind"/> to use. </param>
-        public static WordEmbeddingsExtractorEstimator ExtractWordEmbeedings(this TransformsCatalog.TextTransforms catalog,
+        public static WordEmbeddingsExtractorEstimator ExtractWordEmbeddings(this TransformsCatalog.TextTransforms catalog,
             string inputColumn,
             string outputColumn = null,
             WordEmbeddingsTransform.PretrainedModelKind modelKind = WordEmbeddingsTransform.PretrainedModelKind.Sswe)
@@ -117,7 +117,7 @@ namespace Microsoft.ML
         /// <param name="inputColumn">The input column.</param>
         /// <param name="outputColumn">The optional output column. If it is <value>null</value> the input column will be substituted with its value.</param>
         /// <param name="customModelFile">The path of the pre-trained embeedings model to use. </param>
-        public static WordEmbeddingsExtractorEstimator ExtractWordEmbeedings(this TransformsCatalog.TextTransforms catalog,
+        public static WordEmbeddingsExtractorEstimator ExtractWordEmbeddings(this TransformsCatalog.TextTransforms catalog,
             string inputColumn,
             string customModelFile,
             string outputColumn = null)
@@ -130,7 +130,7 @@ namespace Microsoft.ML
         /// <param name="catalog">The text-related transform's catalog.</param>
         /// <param name="modelKind">The embeddings <see cref="WordEmbeddingsTransform.PretrainedModelKind"/> to use. </param>
         /// <param name="columns">The array columns, and per-column configurations to extract embeedings from.</param>
-        public static WordEmbeddingsExtractorEstimator ExtractWordEmbeedings(this TransformsCatalog.TextTransforms catalog,
+        public static WordEmbeddingsExtractorEstimator ExtractWordEmbeddings(this TransformsCatalog.TextTransforms catalog,
            WordEmbeddingsTransform.PretrainedModelKind modelKind = WordEmbeddingsTransform.PretrainedModelKind.Sswe,
            params WordEmbeddingsTransform.ColumnInfo[] columns)
             => new WordEmbeddingsExtractorEstimator(Contracts.CheckRef(catalog, nameof(catalog)).GetEnvironment(), modelKind, columns);

test/Microsoft.ML.Tests/Scenarios/Api/CookbookSamples/CookbookSamplesDynamicApi.cs

@@ -321,7 +321,7 @@ namespace Microsoft.ML.Tests.Scenarios.Api.CookbookSamples
 
                 // NLP pipeline 4: word embeddings.
                 .Append(mlContext.Transforms.Text.TokenizeWords("NormalizedMessage", "TokenizedMessage"))
-                .Append(mlContext.Transforms.Text.ExtractWordEmbeedings("TokenizedMessage", "Embeddings",
+                .Append(mlContext.Transforms.Text.ExtractWordEmbeddings("TokenizedMessage", "Embeddings",
                             WordEmbeddingsTransform.PretrainedModelKind.GloVeTwitter25D));
 
             // Let's train our pipeline, and then apply it to the same data.