diff options
Diffstat (limited to 'python')
| -rw-r--r-- | python/pyspark/mllib/random.py | 20 |
1 files changed, 10 insertions, 10 deletions
diff --git a/python/pyspark/mllib/random.py b/python/pyspark/mllib/random.py index 3f3b19053d..4dc1a4a912 100644 --- a/python/pyspark/mllib/random.py +++ b/python/pyspark/mllib/random.py @@ -35,10 +35,10 @@ class RandomRDDs: def uniformRDD(sc, size, numPartitions=None, seed=None): """ Generates an RDD comprised of i.i.d. samples from the - uniform distribution on [0.0, 1.0]. + uniform distribution U(0.0, 1.0). - To transform the distribution in the generated RDD from U[0.0, 1.0] - to U[a, b], use + To transform the distribution in the generated RDD from U(0.0, 1.0) + to U(a, b), use C{RandomRDDs.uniformRDD(sc, n, p, seed)\ .map(lambda v: a + (b - a) * v)} @@ -60,11 +60,11 @@ class RandomRDDs: @staticmethod def normalRDD(sc, size, numPartitions=None, seed=None): """ - Generates an RDD comprised of i.i.d samples from the standard normal + Generates an RDD comprised of i.i.d. samples from the standard normal distribution. To transform the distribution in the generated RDD from standard normal - to some other normal N(mean, sigma), use + to some other normal N(mean, sigma^2), use C{RandomRDDs.normal(sc, n, p, seed)\ .map(lambda v: mean + sigma * v)} @@ -84,7 +84,7 @@ class RandomRDDs: @staticmethod def poissonRDD(sc, mean, size, numPartitions=None, seed=None): """ - Generates an RDD comprised of i.i.d samples from the Poisson + Generates an RDD comprised of i.i.d. samples from the Poisson distribution with the input mean. >>> mean = 100.0 @@ -105,8 +105,8 @@ class RandomRDDs: @staticmethod def uniformVectorRDD(sc, numRows, numCols, numPartitions=None, seed=None): """ - Generates an RDD comprised of vectors containing i.i.d samples drawn - from the uniform distribution on [0.0 1.0]. + Generates an RDD comprised of vectors containing i.i.d. samples drawn + from the uniform distribution U(0.0, 1.0). >>> import numpy as np >>> mat = np.matrix(RandomRDDs.uniformVectorRDD(sc, 10, 10).collect()) @@ -125,7 +125,7 @@ class RandomRDDs: @staticmethod def normalVectorRDD(sc, numRows, numCols, numPartitions=None, seed=None): """ - Generates an RDD comprised of vectors containing i.i.d samples drawn + Generates an RDD comprised of vectors containing i.i.d. samples drawn from the standard normal distribution. >>> import numpy as np @@ -145,7 +145,7 @@ class RandomRDDs: @staticmethod def poissonVectorRDD(sc, mean, numRows, numCols, numPartitions=None, seed=None): """ - Generates an RDD comprised of vectors containing i.i.d samples drawn + Generates an RDD comprised of vectors containing i.i.d. samples drawn from the Poisson distribution with the input mean. >>> import numpy as np |