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Diffstat (limited to 'docs/mllib-decision-tree.md')
| -rw-r--r-- | docs/mllib-decision-tree.md | 22 |
1 files changed, 16 insertions, 6 deletions
diff --git a/docs/mllib-decision-tree.md b/docs/mllib-decision-tree.md index c1d0f8a6b1..f31c4f8893 100644 --- a/docs/mllib-decision-tree.md +++ b/docs/mllib-decision-tree.md @@ -191,7 +191,9 @@ maximum tree depth of 5. The test error is calculated to measure the algorithm a <div class="codetabs"> -<div data-lang="scala"> +<div data-lang="scala" markdown="1"> +Refer to the [`DecisionTree` Scala docs](api/scala/index.html#org.apache.spark.mllib.tree.DecisionTree) and [`DecisionTreeModel` Scala docs](api/scala/index.html#org.apache.spark.mllib.tree.model.DecisionTreeModel) for details on the API. + {% highlight scala %} import org.apache.spark.mllib.tree.DecisionTree import org.apache.spark.mllib.tree.model.DecisionTreeModel @@ -229,7 +231,9 @@ val sameModel = DecisionTreeModel.load(sc, "myModelPath") {% endhighlight %} </div> -<div data-lang="java"> +<div data-lang="java" markdown="1"> +Refer to the [`DecisionTree` Java docs](api/java/org/apache/spark/mllib/tree/DecisionTree.html) and [`DecisionTreeModel` Java docs](api/java/org/apache/spark/mllib/tree/model/DecisionTreeModel.html) for details on the API. + {% highlight java %} import java.util.HashMap; import scala.Tuple2; @@ -291,7 +295,8 @@ DecisionTreeModel sameModel = DecisionTreeModel.load(sc.sc(), "myModelPath"); {% endhighlight %} </div> -<div data-lang="python"> +<div data-lang="python" markdown="1"> +Refer to the [`DecisionTree` Python docs](api/python/pyspark.mllib.html#pyspark.mllib.tree.DecisionTree) and [`DecisionTreeModel` Python docs](api/python/pyspark.mllib.html#pyspark.mllib.tree.DecisionTreeModel) for more details on the API. {% highlight python %} from pyspark.mllib.regression import LabeledPoint @@ -335,7 +340,9 @@ depth of 5. The Mean Squared Error (MSE) is computed at the end to evaluate <div class="codetabs"> -<div data-lang="scala"> +<div data-lang="scala" markdown="1"> +Refer to the [`DecisionTree` Scala docs](api/scala/index.html#org.apache.spark.mllib.tree.DecisionTree) and [`DecisionTreeModel` Scala docs](api/scala/index.html#org.apache.spark.mllib.tree.model.DecisionTreeModel) for details on the API. + {% highlight scala %} import org.apache.spark.mllib.tree.DecisionTree import org.apache.spark.mllib.tree.model.DecisionTreeModel @@ -372,7 +379,9 @@ val sameModel = DecisionTreeModel.load(sc, "myModelPath") {% endhighlight %} </div> -<div data-lang="java"> +<div data-lang="java" markdown="1"> +Refer to the [`DecisionTree` Java docs](api/java/org/apache/spark/mllib/tree/DecisionTree.html) and [`DecisionTreeModel` Java docs](api/java/org/apache/spark/mllib/tree/model/DecisionTreeModel.html) for details on the API. + {% highlight java %} import java.util.HashMap; import scala.Tuple2; @@ -440,7 +449,8 @@ DecisionTreeModel sameModel = DecisionTreeModel.load(sc.sc(), "myModelPath"); {% endhighlight %} </div> -<div data-lang="python"> +<div data-lang="python" markdown="1"> +Refer to the [`DecisionTree` Python docs](api/python/pyspark.mllib.html#pyspark.mllib.tree.DecisionTree) and [`DecisionTreeModel` Python docs](api/python/pyspark.mllib.html#pyspark.mllib.tree.DecisionTreeModel) for more details on the API. {% highlight python %} from pyspark.mllib.regression import LabeledPoint |