diff options
Diffstat (limited to 'python/pyspark/mllib/stat')
| -rw-r--r-- | python/pyspark/mllib/stat/KernelDensity.py | 2 | ||||
| -rw-r--r-- | python/pyspark/mllib/stat/_statistics.py | 4 |
2 files changed, 0 insertions, 6 deletions
diff --git a/python/pyspark/mllib/stat/KernelDensity.py b/python/pyspark/mllib/stat/KernelDensity.py index 7da921976d..3b1c5519bd 100644 --- a/python/pyspark/mllib/stat/KernelDensity.py +++ b/python/pyspark/mllib/stat/KernelDensity.py @@ -28,8 +28,6 @@ from pyspark.rdd import RDD class KernelDensity(object): """ - .. note:: Experimental - Estimate probability density at required points given a RDD of samples from the population. diff --git a/python/pyspark/mllib/stat/_statistics.py b/python/pyspark/mllib/stat/_statistics.py index b0a85240b2..67d5f0e44f 100644 --- a/python/pyspark/mllib/stat/_statistics.py +++ b/python/pyspark/mllib/stat/_statistics.py @@ -160,8 +160,6 @@ class Statistics(object): @ignore_unicode_prefix def chiSqTest(observed, expected=None): """ - .. note:: Experimental - If `observed` is Vector, conduct Pearson's chi-squared goodness of fit test of the observed data against the expected distribution, or againt the uniform distribution (by default), with each category @@ -246,8 +244,6 @@ class Statistics(object): @ignore_unicode_prefix def kolmogorovSmirnovTest(data, distName="norm", *params): """ - .. note:: Experimental - Performs the Kolmogorov-Smirnov (KS) test for data sampled from a continuous distribution. It tests the null hypothesis that the data is generated from a particular distribution. |