You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@mahout.apache.org by is...@apache.org on 2013/11/20 21:18:34 UTC
svn commit: r1543932 -
/mahout/site/mahout_cms/trunk/content/users/classification/logistic-regression.mdtext
Author: isabel
Date: Wed Nov 20 20:18:34 2013
New Revision: 1543932
URL: http://svn.apache.org/r1543932
Log:
MAHOUT-1245 - fix image links, need to commit images separately
Modified:
mahout/site/mahout_cms/trunk/content/users/classification/logistic-regression.mdtext
Modified: mahout/site/mahout_cms/trunk/content/users/classification/logistic-regression.mdtext
URL: http://svn.apache.org/viewvc/mahout/site/mahout_cms/trunk/content/users/classification/logistic-regression.mdtext?rev=1543932&r1=1543931&r2=1543932&view=diff
==============================================================================
--- mahout/site/mahout_cms/trunk/content/users/classification/logistic-regression.mdtext (original)
+++ mahout/site/mahout_cms/trunk/content/users/classification/logistic-regression.mdtext Wed Nov 20 20:18:34 2013
@@ -1,4 +1,5 @@
Title: Logistic Regression
+
<a name="LogisticRegression-LogisticRegression(SGD)"></a>
# Logistic Regression (SGD)
@@ -11,10 +12,8 @@ production fraud detection and advertisi
The Mahout implementation uses Stochastic Gradient Descent (SGD) to all
large training sets to be used.
-For a more detailed analysis of the approach, have a look at the thesis of
-Paul Komarek:
-
-http://www.autonlab.org/autonweb/14709/version/4/part/5/data/komarek:lr_thesis.pdf?branch=main&language=en
+For a more detailed analysis of the approach, have a look at the [thesis of
+Paul Komarek](http://www.autonlab.org/autonweb/14709/version/4/part/5/data/komarek:lr_thesis.pdf?branch=main&language=en).
See MAHOUT-228 for the main JIRA issue for SGD.
@@ -47,8 +46,7 @@ propagating to the other learners.
There are three packages that are used in Mahout's SGD system. These
include
-* The vector encoding package (found in
-org.apache.mahout.vectorizer.encoders)
+* The vector encoding package (found in org.apache.mahout.vectorizer.encoders)
* The SGD learning package (found in org.apache.mahout.classifier.sgd)
@@ -77,7 +75,7 @@ case you are getting your training data
Here is a class diagram for the encoders package:
-!vector-class-hierarchy.png|border=1!
+
<a name="LogisticRegression-SGDLearning"></a>
### SGD Learning
@@ -104,5 +102,5 @@ Here is a class diagram for the classifi
the number of twiddlable knobs is pretty large. For some examples, see the
TrainNewsGroups example code.
-!sgd-class-hierarchy.png|border=1!
+