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Diffstat (limited to 'docs/mllib-classification-regression.md')
| -rw-r--r-- | docs/mllib-classification-regression.md | 9 |
1 files changed, 6 insertions, 3 deletions
diff --git a/docs/mllib-classification-regression.md b/docs/mllib-classification-regression.md index 5b9b4dd83b..8e91d62f4a 100644 --- a/docs/mllib-classification-regression.md +++ b/docs/mllib-classification-regression.md @@ -17,13 +17,13 @@ the supported algorithms for each type of problem. </thead> <tbody> <tr> - <td>Binary Classification</td><td>linear SVMs, logistic regression, decision trees, naive Bayes</td> + <td>Binary Classification</td><td>linear SVMs, logistic regression, decision trees, random forests, gradient-boosted trees, naive Bayes</td> </tr> <tr> - <td>Multiclass Classification</td><td>decision trees, naive Bayes</td> + <td>Multiclass Classification</td><td>decision trees, random forests, naive Bayes</td> </tr> <tr> - <td>Regression</td><td>linear least squares, Lasso, ridge regression, decision trees, isotonic regression</td> + <td>Regression</td><td>linear least squares, Lasso, ridge regression, decision trees, random forests, gradient-boosted trees, isotonic regression</td> </tr> </tbody> </table> @@ -34,5 +34,8 @@ More details for these methods can be found here: * [binary classification (SVMs, logistic regression)](mllib-linear-methods.html#binary-classification) * [linear regression (least squares, Lasso, ridge)](mllib-linear-methods.html#linear-least-squares-lasso-and-ridge-regression) * [Decision trees](mllib-decision-tree.html) +* [Ensembles of decision trees](mllib-ensembles.html) + * [random forests](mllib-ensembles.html#random-forests) + * [gradient-boosted trees](mllib-ensembles.html#gradient-boosted-trees-gbts) * [Naive Bayes](mllib-naive-bayes.html) * [Isotonic regression](mllib-isotonic-regression.html) |