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Posted to commits@spark.apache.org by jk...@apache.org on 2015/05/23 03:03:16 UTC
spark git commit: [SPARK-7830] [DOCS] [MLLIB] Adding logistic
regression to the list of Multiclass Classification Supported Methods
documentation
Repository: spark
Updated Branches:
refs/heads/master 8014e1f6b -> 63a5ce75e
[SPARK-7830] [DOCS] [MLLIB] Adding logistic regression to the list of Multiclass Classification Supported Methods documentation
Added logistic regression to the list of Multiclass Classification Supported Methods in the MLlib Classification and Regression documentation, as it was missing.
Author: Mike Dusenberry <du...@gmail.com>
Closes #6357 from dusenberrymw/Add_LR_To_List_Of_Multiclass_Classification_Methods and squashes the following commits:
7918650 [Mike Dusenberry] Updating broken link due to the "Binary Classification" section on the Linear Methods page being renamed to "Classification".
3005dc2 [Mike Dusenberry] Adding logistic regression to the list of Multiclass Classification Supported Methods in the MLlib Classification and Regression documentation, as it was missing.
Project: http://git-wip-us.apache.org/repos/asf/spark/repo
Commit: http://git-wip-us.apache.org/repos/asf/spark/commit/63a5ce75
Tree: http://git-wip-us.apache.org/repos/asf/spark/tree/63a5ce75
Diff: http://git-wip-us.apache.org/repos/asf/spark/diff/63a5ce75
Branch: refs/heads/master
Commit: 63a5ce75eac48a297751ac505d70ce4d47daf903
Parents: 8014e1f
Author: Mike Dusenberry <du...@gmail.com>
Authored: Fri May 22 18:03:12 2015 -0700
Committer: Joseph K. Bradley <jo...@databricks.com>
Committed: Fri May 22 18:03:12 2015 -0700
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docs/mllib-classification-regression.md | 4 ++--
1 file changed, 2 insertions(+), 2 deletions(-)
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http://git-wip-us.apache.org/repos/asf/spark/blob/63a5ce75/docs/mllib-classification-regression.md
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diff --git a/docs/mllib-classification-regression.md b/docs/mllib-classification-regression.md
index 8e91d62..0210950 100644
--- a/docs/mllib-classification-regression.md
+++ b/docs/mllib-classification-regression.md
@@ -20,7 +20,7 @@ the supported algorithms for each type of problem.
<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, random forests, naive Bayes</td>
+ <td>Multiclass Classification</td><td>logistic regression, decision trees, random forests, naive Bayes</td>
</tr>
<tr>
<td>Regression</td><td>linear least squares, Lasso, ridge regression, decision trees, random forests, gradient-boosted trees, isotonic regression</td>
@@ -31,7 +31,7 @@ the supported algorithms for each type of problem.
More details for these methods can be found here:
* [Linear models](mllib-linear-methods.html)
- * [binary classification (SVMs, logistic regression)](mllib-linear-methods.html#binary-classification)
+ * [classification (SVMs, logistic regression)](mllib-linear-methods.html#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)
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