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[SPARK-10275][MLlib] Add @since annotation to pyspark.mllib.random #8666

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[SPARK-10275][MLlib] Add @since annotation to pyspark.mllib.random #8666

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e71141d
[SPARK-10275][MLlib] Add @since annotation to pyspark.mllib.random
yu-iskw Sep 9, 2015
6a8817b
Add a since version comment to RandomRDDs manually
yu-iskw Sep 10, 2015
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15 changes: 15 additions & 0 deletions python/pyspark/mllib/random.py
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Original file line number Diff line number Diff line change
Expand Up @@ -21,6 +21,7 @@

from functools import wraps

from pyspark import since
from pyspark.mllib.common import callMLlibFunc


Expand All @@ -39,9 +40,12 @@ class RandomRDDs(object):
"""
Generator methods for creating RDDs comprised of i.i.d samples from
some distribution.

.. addedversion:: 1.1.0
"""

@staticmethod
@since("1.1.0")
def uniformRDD(sc, size, numPartitions=None, seed=None):
"""
Generates an RDD comprised of i.i.d. samples from the
Expand Down Expand Up @@ -72,6 +76,7 @@ def uniformRDD(sc, size, numPartitions=None, seed=None):
return callMLlibFunc("uniformRDD", sc._jsc, size, numPartitions, seed)

@staticmethod
@since("1.1.0")
def normalRDD(sc, size, numPartitions=None, seed=None):
"""
Generates an RDD comprised of i.i.d. samples from the standard normal
Expand Down Expand Up @@ -100,6 +105,7 @@ def normalRDD(sc, size, numPartitions=None, seed=None):
return callMLlibFunc("normalRDD", sc._jsc, size, numPartitions, seed)

@staticmethod
@since("1.3.0")
def logNormalRDD(sc, mean, std, size, numPartitions=None, seed=None):
"""
Generates an RDD comprised of i.i.d. samples from the log normal
Expand Down Expand Up @@ -132,6 +138,7 @@ def logNormalRDD(sc, mean, std, size, numPartitions=None, seed=None):
size, numPartitions, seed)

@staticmethod
@since("1.1.0")
def poissonRDD(sc, mean, size, numPartitions=None, seed=None):
"""
Generates an RDD comprised of i.i.d. samples from the Poisson
Expand All @@ -158,6 +165,7 @@ def poissonRDD(sc, mean, size, numPartitions=None, seed=None):
return callMLlibFunc("poissonRDD", sc._jsc, float(mean), size, numPartitions, seed)

@staticmethod
@since("1.3.0")
def exponentialRDD(sc, mean, size, numPartitions=None, seed=None):
"""
Generates an RDD comprised of i.i.d. samples from the Exponential
Expand All @@ -184,6 +192,7 @@ def exponentialRDD(sc, mean, size, numPartitions=None, seed=None):
return callMLlibFunc("exponentialRDD", sc._jsc, float(mean), size, numPartitions, seed)

@staticmethod
@since("1.3.0")
def gammaRDD(sc, shape, scale, size, numPartitions=None, seed=None):
"""
Generates an RDD comprised of i.i.d. samples from the Gamma
Expand Down Expand Up @@ -216,6 +225,7 @@ def gammaRDD(sc, shape, scale, size, numPartitions=None, seed=None):

@staticmethod
@toArray
@since("1.1.0")
def uniformVectorRDD(sc, numRows, numCols, numPartitions=None, seed=None):
"""
Generates an RDD comprised of vectors containing i.i.d. samples drawn
Expand All @@ -241,6 +251,7 @@ def uniformVectorRDD(sc, numRows, numCols, numPartitions=None, seed=None):

@staticmethod
@toArray
@since("1.1.0")
def normalVectorRDD(sc, numRows, numCols, numPartitions=None, seed=None):
"""
Generates an RDD comprised of vectors containing i.i.d. samples drawn
Expand All @@ -266,6 +277,7 @@ def normalVectorRDD(sc, numRows, numCols, numPartitions=None, seed=None):

@staticmethod
@toArray
@since("1.3.0")
def logNormalVectorRDD(sc, mean, std, numRows, numCols, numPartitions=None, seed=None):
"""
Generates an RDD comprised of vectors containing i.i.d. samples drawn
Expand Down Expand Up @@ -300,6 +312,7 @@ def logNormalVectorRDD(sc, mean, std, numRows, numCols, numPartitions=None, seed

@staticmethod
@toArray
@since("1.1.0")
def poissonVectorRDD(sc, mean, numRows, numCols, numPartitions=None, seed=None):
"""
Generates an RDD comprised of vectors containing i.i.d. samples drawn
Expand Down Expand Up @@ -330,6 +343,7 @@ def poissonVectorRDD(sc, mean, numRows, numCols, numPartitions=None, seed=None):

@staticmethod
@toArray
@since("1.3.0")
def exponentialVectorRDD(sc, mean, numRows, numCols, numPartitions=None, seed=None):
"""
Generates an RDD comprised of vectors containing i.i.d. samples drawn
Expand Down Expand Up @@ -360,6 +374,7 @@ def exponentialVectorRDD(sc, mean, numRows, numCols, numPartitions=None, seed=No

@staticmethod
@toArray
@since("1.3.0")
def gammaVectorRDD(sc, shape, scale, numRows, numCols, numPartitions=None, seed=None):
"""
Generates an RDD comprised of vectors containing i.i.d. samples drawn
Expand Down