| layout | title | displayTitle | license |
|---|---|---|---|
global |
Classification and Regression - RDD-based API |
Classification and Regression - RDD-based API |
Licensed to the Apache Software Foundation (ASF) under one or more
contributor license agreements. See the NOTICE file distributed with
this work for additional information regarding copyright ownership.
The ASF licenses this file to You under the Apache License, Version 2.0
(the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
|
The spark.mllib package supports various methods for
binary classification,
multiclass
classification, and
regression analysis. The table below outlines
the supported algorithms for each type of problem.
| Problem Type | Supported Methods |
|---|---|
| Binary Classification | linear SVMs, logistic regression, decision trees, random forests, gradient-boosted trees, naive Bayes |
| Multiclass Classification | logistic regression, decision trees, random forests, naive Bayes |
| Regression | linear least squares, Lasso, ridge regression, decision trees, random forests, gradient-boosted trees, isotonic regression |
More details for these methods can be found here: