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[SPARK-10518][Docs]Update code examples in spark.ml user guide to use LIBSVM data source instead of MLUtils #8697

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[SPARK-10518][Docs]Update code examples in spark.ml user guide to use LIBSVM data source instead of MLUtils #8697

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a5a63f3
Update code examples in spark.ml user guide to use LIBSVM data source…
y-shimizu Sep 10, 2015
0a4db4b
fix forgetting to remove MLUtils
y-shimizu Sep 11, 2015
193bddf
fix type miss 'val' to 'DataFrame' in Java code
y-shimizu Sep 11, 2015
8d4c052
remove unused import
y-shimizu Sep 11, 2015
dbf13b7
insert line feeds in wide line
y-shimizu Sep 11, 2015
9bd663b
update guides, ml-features.md and ml-linear-methods.md
y-shimizu Sep 11, 2015
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fix type miss 'val' to 'DataFrame' in Java code
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@y-shimizu
y-shimizu committed Sep 11, 2015
commit 193bddf51a6452c0dd67de2c3f872964467af088
8 changes: 4 additions & 4 deletions docs/ml-ensembles.md
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Expand Up @@ -199,7 +199,7 @@ import org.apache.spark.rdd.RDD;
import org.apache.spark.sql.DataFrame;

// Load and parse the data file, converting it to a DataFrame.
val data = sqlContext.read.format("libsvm").load("data/mllib/sample_libsvm_data.txt");
DataFrame data = sqlContext.read.format("libsvm").load("data/mllib/sample_libsvm_data.txt");

// Index labels, adding metadata to the label column.
// Fit on whole dataset to include all labels in index.
Expand Down Expand Up @@ -392,7 +392,7 @@ import org.apache.spark.rdd.RDD;
import org.apache.spark.sql.DataFrame;

// Load and parse the data file, converting it to a DataFrame.
val data = sqlContext.read.format("libsvm").load("data/mllib/sample_libsvm_data.txt");
DataFrame data = sqlContext.read.format("libsvm").load("data/mllib/sample_libsvm_data.txt");

// Automatically identify categorical features, and index them.
// Set maxCategories so features with > 4 distinct values are treated as continuous.
Expand Down Expand Up @@ -652,7 +652,7 @@ import org.apache.spark.rdd.RDD;
import org.apache.spark.sql.DataFrame;

// Load and parse the data file, converting it to a DataFrame.
val data sqlContext.read.format("libsvm").load("data/mllib/sample_libsvm_data.txt");
DataFrame data sqlContext.read.format("libsvm").load("data/mllib/sample_libsvm_data.txt");

// Index labels, adding metadata to the label column.
// Fit on whole dataset to include all labels in index.
Expand Down Expand Up @@ -847,7 +847,7 @@ import org.apache.spark.rdd.RDD;
import org.apache.spark.sql.DataFrame;

// Load and parse the data file, converting it to a DataFrame.
val data = sqlContext.read.format("libsvm").load("data/mllib/sample_libsvm_data.txt");
DataFrame data = sqlContext.read.format("libsvm").load("data/mllib/sample_libsvm_data.txt");

// Automatically identify categorical features, and index them.
// Set maxCategories so features with > 4 distinct values are treated as continuous.
Expand Down