# SOME DESCRIPTIVE TITLE.
# Copyright (C) 1999-2020, The Alibaba Group Holding Ltd.
# This file is distributed under the same license as the mars package.
# FIRST AUTHOR <EMAIL@ADDRESS>, 2020.
#
#, fuzzy
msgid ""
msgstr ""
"Project-Id-Version: mars 0.5.0a2\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2020-06-16 16:57+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language-Team: LANGUAGE <LL@li.org>\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=utf-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Generated-By: Babel 2.7.0\n"

#: ../../source/reference/tensor/generated/mars.tensor.random.standard_gamma.rst:2
msgid "mars.tensor.random.standard\\_gamma"
msgstr ""

#: mars.tensor.random.standard_gamma:1 of
msgid "Draw samples from a standard Gamma distribution."
msgstr ""

#: mars.tensor.random.standard_gamma:3 of
msgid ""
"Samples are drawn from a Gamma distribution with specified parameters, "
"shape (sometimes designated \"k\") and scale=1."
msgstr ""

#: mars.tensor.random.standard_gamma of
msgid "Parameters"
msgstr ""

#: mars.tensor.random.standard_gamma:6 of
msgid "Parameter, should be > 0."
msgstr ""

#: mars.tensor.random.standard_gamma:8 of
msgid ""
"Output shape.  If the given shape is, e.g., ``(m, n, k)``, then ``m * n *"
" k`` samples are drawn.  If size is ``None`` (default), a single value is"
" returned if ``shape`` is a scalar.  Otherwise, ``mt.array(shape).size`` "
"samples are drawn."
msgstr ""

#: mars.tensor.random.standard_gamma:13 of
msgid "Desired chunk size on each dimension"
msgstr ""

#: mars.tensor.random.standard_gamma:15 of
msgid "Allocate the tensor on GPU if True, False as default"
msgstr ""

#: mars.tensor.random.standard_gamma:17 of
msgid "Data-type of the returned tensor."
msgstr ""

#: mars.tensor.random.standard_gamma of
msgid "Returns"
msgstr ""

#: mars.tensor.random.standard_gamma:20 of
msgid ""
"**out** -- Drawn samples from the parameterized standard gamma "
"distribution."
msgstr ""

#: mars.tensor.random.standard_gamma of
msgid "Return type"
msgstr ""

#: mars.tensor.random.standard_gamma:25 of
msgid ":func:`scipy.stats.gamma`"
msgstr ""

#: mars.tensor.random.standard_gamma:26 of
msgid ""
"probability density function, distribution or cumulative density "
"function, etc."
msgstr ""

#: mars.tensor.random.standard_gamma:29 of
msgid "Notes"
msgstr ""

#: mars.tensor.random.standard_gamma:30 of
msgid "The probability density for the Gamma distribution is"
msgstr ""

#: mars.tensor.random.standard_gamma:32 of
msgid "p(x) = x^{k-1}\\frac{e^{-x/\\theta}}{\\theta^k\\Gamma(k)},"
msgstr ""

#: mars.tensor.random.standard_gamma:34 of
msgid ""
"where :math:`k` is the shape and :math:`\\theta` the scale, and "
":math:`\\Gamma` is the Gamma function."
msgstr ""

#: mars.tensor.random.standard_gamma:37 of
msgid ""
"The Gamma distribution is often used to model the times to failure of "
"electronic components, and arises naturally in processes for which the "
"waiting times between Poisson distributed events are relevant."
msgstr ""

#: mars.tensor.random.standard_gamma:42 of
msgid "References"
msgstr ""

#: mars.tensor.random.standard_gamma:43 of
msgid ""
"Weisstein, Eric W. \"Gamma Distribution.\" From MathWorld--A Wolfram Web "
"Resource. http://mathworld.wolfram.com/GammaDistribution.html"
msgstr ""

#: mars.tensor.random.standard_gamma:46 of
msgid ""
"Wikipedia, \"Gamma distribution\", "
"http://en.wikipedia.org/wiki/Gamma_distribution"
msgstr ""

#: mars.tensor.random.standard_gamma:50 of
msgid "Examples"
msgstr ""

#: mars.tensor.random.standard_gamma:51 of
msgid "Draw samples from the distribution:"
msgstr ""

#: mars.tensor.random.standard_gamma:58 of
msgid ""
"Display the histogram of the samples, along with the probability density "
"function:"
msgstr ""

