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-rw-r--r--python/pyspark/mllib/stat/__init__.py4
-rw-r--r--python/pyspark/mllib/stat/distribution.py3
2 files changed, 5 insertions, 2 deletions
diff --git a/python/pyspark/mllib/stat/__init__.py b/python/pyspark/mllib/stat/__init__.py
index b686d955a0..e3e128513e 100644
--- a/python/pyspark/mllib/stat/__init__.py
+++ b/python/pyspark/mllib/stat/__init__.py
@@ -21,5 +21,7 @@ Python package for statistical functions in MLlib.
from pyspark.mllib.stat._statistics import *
from pyspark.mllib.stat.distribution import MultivariateGaussian
+from pyspark.mllib.stat.test import ChiSqTestResult
-__all__ = ["Statistics", "MultivariateStatisticalSummary", "MultivariateGaussian"]
+__all__ = ["Statistics", "MultivariateStatisticalSummary", "ChiSqTestResult",
+ "MultivariateGaussian"]
diff --git a/python/pyspark/mllib/stat/distribution.py b/python/pyspark/mllib/stat/distribution.py
index 07792e1532..46f7a1d2f2 100644
--- a/python/pyspark/mllib/stat/distribution.py
+++ b/python/pyspark/mllib/stat/distribution.py
@@ -22,7 +22,8 @@ __all__ = ['MultivariateGaussian']
class MultivariateGaussian(namedtuple('MultivariateGaussian', ['mu', 'sigma'])):
- """ Represents a (mu, sigma) tuple
+ """Represents a (mu, sigma) tuple
+
>>> m = MultivariateGaussian(Vectors.dense([11,12]),DenseMatrix(2, 2, (1.0, 3.0, 5.0, 2.0)))
>>> (m.mu, m.sigma.toArray())
(DenseVector([11.0, 12.0]), array([[ 1., 5.],[ 3., 2.]]))