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diff --git a/docs/mllib-guide.md b/docs/mllib-guide.md index 94fc98ce4f..dcb6819f46 100644 --- a/docs/mllib-guide.md +++ b/docs/mllib-guide.md @@ -16,8 +16,9 @@ filtering, dimensionality reduction, as well as underlying optimization primitiv * random data generation * [Classification and regression](mllib-classification-regression.html) * [linear models (SVMs, logistic regression, linear regression)](mllib-linear-methods.html) - * [decision trees](mllib-decision-tree.html) * [naive Bayes](mllib-naive-bayes.html) + * [decision trees](mllib-decision-tree.html) + * [ensembles of trees](mllib-ensembles.html) (Random Forests and Gradient-Boosted Trees) * [Collaborative filtering](mllib-collaborative-filtering.html) * alternating least squares (ALS) * [Clustering](mllib-clustering.html) @@ -60,6 +61,32 @@ To use MLlib in Python, you will need [NumPy](http://www.numpy.org) version 1.4 # Migration Guide +## From 1.1 to 1.2 + +The only API changes in MLlib v1.2 are in +[`DecisionTree`](api/scala/index.html#org.apache.spark.mllib.tree.DecisionTree), +which continues to be an experimental API in MLlib 1.2: + +1. *(Breaking change)* The Scala API for classification takes a named argument specifying the number +of classes. In MLlib v1.1, this argument was called `numClasses` in Python and +`numClassesForClassification` in Scala. In MLlib v1.2, the names are both set to `numClasses`. +This `numClasses` parameter is specified either via +[`Strategy`](api/scala/index.html#org.apache.spark.mllib.tree.configuration.Strategy) +or via [`DecisionTree`](api/scala/index.html#org.apache.spark.mllib.tree.DecisionTree) +static `trainClassifier` and `trainRegressor` methods. + +2. *(Breaking change)* The API for +[`Node`](api/scala/index.html#org.apache.spark.mllib.tree.model.Node) has changed. +This should generally not affect user code, unless the user manually constructs decision trees +(instead of using the `trainClassifier` or `trainRegressor` methods). +The tree `Node` now includes more information, including the probability of the predicted label +(for classification). + +3. Printing methods' output has changed. The `toString` (Scala/Java) and `__repr__` (Python) methods used to print the full model; they now print a summary. For the full model, use `toDebugString`. + +Examples in the Spark distribution and examples in the +[Decision Trees Guide](mllib-decision-tree.html#examples) have been updated accordingly. + ## From 1.0 to 1.1 The only API changes in MLlib v1.1 are in |