[SPARK-1594][MLLIB] Cleaning up MLlib APIs and guide

Final pass before the v1.0 release.

* Remove `VectorRDDs`
* Move `BinaryClassificationMetrics` from `evaluation.binary` to `evaluation`
* Change default value of `addIntercept` to false and allow to add intercept in Ridge and Lasso.
* Clean `DecisionTree` package doc and test suite.
* Mark model constructors `private[spark]`
* Rename `loadLibSVMData` to `loadLibSVMFile` and hide `LabelParser` from users.
* Add `saveAsLibSVMFile`.
* Add `appendBias` to `MLUtils`.

Author: Xiangrui Meng <meng@databricks.com>

Closes #524 from mengxr/mllib-cleaning and squashes the following commits:

295dc8b [Xiangrui Meng] update loadLibSVMFile doc
1977ac1 [Xiangrui Meng] fix doc of appendBias
649fcf0 [Xiangrui Meng] rename loadLibSVMData to loadLibSVMFile; hide LabelParser from user APIs
54b812c [Xiangrui Meng] add appendBias
a71e7d0 [Xiangrui Meng] add saveAsLibSVMFile
d976295 [Xiangrui Meng] Merge branch 'master' into mllib-cleaning
b7e5cec [Xiangrui Meng] remove some experimental annotations and make model constructors private[mllib]
9b02b93 [Xiangrui Meng] minor code style update
a593ddc [Xiangrui Meng] fix python tests
fc28c18 [Xiangrui Meng] mark more classes experimental
f6cbbff [Xiangrui Meng] fix Java tests
0af70b0 [Xiangrui Meng] minor
6e139ef [Xiangrui Meng] Merge branch 'master' into mllib-cleaning
94e6dce [Xiangrui Meng] move BinaryLabelCounter and BinaryConfusionMatrixImpl to evaluation.binary
df34907 [Xiangrui Meng] clean DecisionTreeSuite to use LocalSparkContext
c81807f [Xiangrui Meng] set the default value of AddIntercept to false
03389c0 [Xiangrui Meng] allow to add intercept in Ridge and Lasso
c66c56f [Xiangrui Meng] move tree md to package object doc
a2695df [Xiangrui Meng] update guide for BinaryClassificationMetrics
9194f4c [Xiangrui Meng] move BinaryClassificationMetrics one level up
1c1a0e3 [Xiangrui Meng] remove VectorRDDs because it only contains one function that is not necessary for us to maintain

1 files changed, 2 insertions, 2 deletions

diff --git a/python/pyspark/mllib/classification.py b/python/pyspark/mllib/classification.py
index c5844597c9..6772e4337e 100644
--- a/python/pyspark/mllib/classification.py
+++ b/python/pyspark/mllib/classification.py
@@ -90,7 +90,7 @@ class SVMModel(LinearModel):
     >>> svm.predict(array([1.0])) > 0
     True
     >>> sparse_data = [
-    ...     LabeledPoint(0.0, SparseVector(2, {0: 0.0})),
+    ...     LabeledPoint(0.0, SparseVector(2, {0: -1.0})),
     ...     LabeledPoint(1.0, SparseVector(2, {1: 1.0})),
     ...     LabeledPoint(0.0, SparseVector(2, {0: 0.0})),
     ...     LabeledPoint(1.0, SparseVector(2, {1: 2.0}))
@@ -98,7 +98,7 @@ class SVMModel(LinearModel):
     >>> svm = SVMWithSGD.train(sc.parallelize(sparse_data))
     >>> svm.predict(SparseVector(2, {1: 1.0})) > 0
     True
-    >>> svm.predict(SparseVector(2, {1: 0.0})) <= 0
+    >>> svm.predict(SparseVector(2, {0: -1.0})) <= 0
     True
     """
     def predict(self, x):