diff options
Diffstat (limited to 'docs/ml-features.md')
| -rw-r--r-- | docs/ml-features.md | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/docs/ml-features.md b/docs/ml-features.md index 142afac2f3..cd1838d6d2 100644 --- a/docs/ml-features.md +++ b/docs/ml-features.md @@ -1109,7 +1109,7 @@ import org.apache.spark.ml.feature.VectorIndexer; import org.apache.spark.ml.feature.VectorIndexerModel; import org.apache.spark.sql.DataFrame; -DataFrame data = sqlContext.read.format("libsvm") +DataFrame data = sqlContext.read().format("libsvm") .load("data/mllib/sample_libsvm_data.txt"); VectorIndexer indexer = new VectorIndexer() .setInputCol("features") @@ -1187,7 +1187,7 @@ for more details on the API. import org.apache.spark.ml.feature.Normalizer; import org.apache.spark.sql.DataFrame; -DataFrame dataFrame = sqlContext.read.format("libsvm") +DataFrame dataFrame = sqlContext.read().format("libsvm") .load("data/mllib/sample_libsvm_data.txt"); // Normalize each Vector using $L^1$ norm. @@ -1273,7 +1273,7 @@ import org.apache.spark.ml.feature.StandardScaler; import org.apache.spark.ml.feature.StandardScalerModel; import org.apache.spark.sql.DataFrame; -DataFrame dataFrame = sqlContext.read.format("libsvm") +DataFrame dataFrame = sqlContext.read().format("libsvm") .load("data/mllib/sample_libsvm_data.txt"); StandardScaler scaler = new StandardScaler() .setInputCol("features") @@ -1366,7 +1366,7 @@ import org.apache.spark.ml.feature.MinMaxScaler; import org.apache.spark.ml.feature.MinMaxScalerModel; import org.apache.spark.sql.DataFrame; -DataFrame dataFrame = sqlContext.read.format("libsvm") +DataFrame dataFrame = sqlContext.read().format("libsvm") .load("data/mllib/sample_libsvm_data.txt"); MinMaxScaler scaler = new MinMaxScaler() .setInputCol("features") |