update toc

Author: mengxr

docs/mllib-guide.md

@@ -12,11 +12,10 @@ filtering, dimensionality reduction, as well as underlying optimization primitiv
   * labeled point
   * distributed matrix
 * Classification and regression
-  * <a href="mllib-generalized-linear-models.html">generalized linear models (GLMs)</a>
-    * logistic regression
-    * linear linear squares
-  * <a href="mllib-linear-svm.html">linear support vector machine (SVM)</a>
+  * <a href="mllib-logistic-regression.html">logistic regression</a>
+  * <a href="mllib-svm.html">support vector machine (SVM)</a>
   * <a href="mllib-decision-tree.html">decision tree</a>
+  * <a href="mllib-linear-least-squares.html">linear linear squares, Lasso, and ridge regression</a>
   * <a href="mllib-naive-bayes.html">naive Bayes</a>
 * <a href="mllib-collaborative-filtering.html">Collaborative Filtering</a>
   * alternating least squares (ALS)
@@ -26,7 +25,7 @@ filtering, dimensionality reduction, as well as underlying optimization primitiv
   * singular value decomposition (SVD)
   * principal component analysis (PCA)
 * <a href="mllib-optimization.html">Optimization</a>
-  * gradient descent
+  * stochastic gradient descent
   * limited-memory BFGS (L-BFGS)
 * Utilities