diff options
Diffstat (limited to 'docs/mllib-decision-tree.md')
| -rw-r--r-- | docs/mllib-decision-tree.md | 16 |
1 files changed, 10 insertions, 6 deletions
diff --git a/docs/mllib-decision-tree.md b/docs/mllib-decision-tree.md index 8e478ab035..c1d0f8a6b1 100644 --- a/docs/mllib-decision-tree.md +++ b/docs/mllib-decision-tree.md @@ -293,11 +293,9 @@ DecisionTreeModel sameModel = DecisionTreeModel.load(sc.sc(), "myModelPath"); <div data-lang="python"> -Note that the Python API does not yet support model save/load but will in the future. - {% highlight python %} from pyspark.mllib.regression import LabeledPoint -from pyspark.mllib.tree import DecisionTree +from pyspark.mllib.tree import DecisionTree, DecisionTreeModel from pyspark.mllib.util import MLUtils # Load and parse the data file into an RDD of LabeledPoint. @@ -317,6 +315,10 @@ testErr = labelsAndPredictions.filter(lambda (v, p): v != p).count() / float(tes print('Test Error = ' + str(testErr)) print('Learned classification tree model:') print(model.toDebugString()) + +# Save and load model +model.save(sc, "myModelPath") +sameModel = DecisionTreeModel.load(sc, "myModelPath") {% endhighlight %} </div> @@ -440,11 +442,9 @@ DecisionTreeModel sameModel = DecisionTreeModel.load(sc.sc(), "myModelPath"); <div data-lang="python"> -Note that the Python API does not yet support model save/load but will in the future. - {% highlight python %} from pyspark.mllib.regression import LabeledPoint -from pyspark.mllib.tree import DecisionTree +from pyspark.mllib.tree import DecisionTree, DecisionTreeModel from pyspark.mllib.util import MLUtils # Load and parse the data file into an RDD of LabeledPoint. @@ -464,6 +464,10 @@ testMSE = labelsAndPredictions.map(lambda (v, p): (v - p) * (v - p)).sum() / flo print('Test Mean Squared Error = ' + str(testMSE)) print('Learned regression tree model:') print(model.toDebugString()) + +# Save and load model +model.save(sc, "myModelPath") +sameModel = DecisionTreeModel.load(sc, "myModelPath") {% endhighlight %} </div> |