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authorJoseph K. Bradley <joseph@databricks.com>2015-02-25 16:13:17 -0800
committerXiangrui Meng <meng@databricks.com>2015-02-25 16:13:17 -0800
commitd20559b157743981b9c09e286f2aaff8cbefab59 (patch)
tree6d92015c1ae6b05c725860685351f86b8c4ed6af /python/pyspark/mllib/regression.py
parent46a044a36a2aff1306f7f677e952ce253ddbefac (diff)
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[SPARK-5974] [SPARK-5980] [mllib] [python] [docs] Update ML guide with save/load, Python GBT
* Add GradientBoostedTrees Python examples to ML guide * I ran these in the pyspark shell, and they worked. * Add save/load to examples in ML guide * Added note to python docs about predict,transform not working within RDD actions,transformations in some cases (See SPARK-5981) CC: mengxr Author: Joseph K. Bradley <joseph@databricks.com> Closes #4750 from jkbradley/SPARK-5974 and squashes the following commits: c410e38 [Joseph K. Bradley] Added note to LabeledPoint about attributes bcae18b [Joseph K. Bradley] Added import of models for save/load examples in ml guide. Fixed line length for tree.py, feature.py (but not other ML Pyspark files yet). 6d81c3e [Joseph K. Bradley] completed python GBT examples 9903309 [Joseph K. Bradley] Added note to python docs about predict,transform not working within RDD actions,transformations in some cases c7dfad8 [Joseph K. Bradley] Added model save/load to ML guide. Added GBT examples to ML guide
Diffstat (limited to 'python/pyspark/mllib/regression.py')
-rw-r--r--python/pyspark/mllib/regression.py7
1 files changed, 5 insertions, 2 deletions
diff --git a/python/pyspark/mllib/regression.py b/python/pyspark/mllib/regression.py
index 21751cc68f..66617abb85 100644
--- a/python/pyspark/mllib/regression.py
+++ b/python/pyspark/mllib/regression.py
@@ -31,8 +31,11 @@ class LabeledPoint(object):
The features and labels of a data point.
:param label: Label for this data point.
- :param features: Vector of features for this point (NumPy array, list,
- pyspark.mllib.linalg.SparseVector, or scipy.sparse column matrix)
+ :param features: Vector of features for this point (NumPy array,
+ list, pyspark.mllib.linalg.SparseVector, or scipy.sparse
+ column matrix)
+
+ Note: 'label' and 'features' are accessible as class attributes.
"""
def __init__(self, label, features):