# 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.
#
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"Project-Id-Version: mars 0.5.0a2\n"
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"POT-Creation-Date: 2020-06-16 16:57+0800\n"
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"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
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#: ../../source/reference/tensor/generated/mars.tensor.random.poisson.rst:2
msgid "mars.tensor.random.poisson"
msgstr ""

#: mars.tensor.random.poisson:1 of
msgid "Draw samples from a Poisson distribution."
msgstr ""

#: mars.tensor.random.poisson:3 of
msgid ""
"The Poisson distribution is the limit of the binomial distribution for "
"large N."
msgstr ""

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

#: mars.tensor.random.poisson:6 of
msgid ""
"Expectation of interval, should be >= 0. A sequence of expectation "
"intervals must be broadcastable over the requested size."
msgstr ""

#: mars.tensor.random.poisson:9 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 ``lam`` is a scalar. Otherwise, ``mt.array(lam).size`` "
"samples are drawn."
msgstr ""

#: mars.tensor.random.poisson:14 of
msgid "Desired chunk size on each dimension"
msgstr ""

#: mars.tensor.random.poisson:16 of
msgid "Allocate the tensor on GPU if True, False as default"
msgstr ""

#: mars.tensor.random.poisson:18 of
msgid "Data-type of the returned tensor."
msgstr ""

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

#: mars.tensor.random.poisson:21 of
msgid "**out** -- Drawn samples from the parameterized Poisson distribution."
msgstr ""

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

#: mars.tensor.random.poisson:25 of
msgid "Notes"
msgstr ""

#: mars.tensor.random.poisson:26 of
msgid "The Poisson distribution"
msgstr ""

#: mars.tensor.random.poisson:28 of
msgid "f(k; \\lambda)=\\frac{\\lambda^k e^{-\\lambda}}{k!}"
msgstr ""

#: mars.tensor.random.poisson:30 of
msgid ""
"For events with an expected separation :math:`\\lambda` the Poisson "
"distribution :math:`f(k; \\lambda)` describes the probability of "
":math:`k` events occurring within the observed interval :math:`\\lambda`."
msgstr ""

#: mars.tensor.random.poisson:35 of
msgid ""
"Because the output is limited to the range of the C long type, a "
"ValueError is raised when `lam` is within 10 sigma of the maximum "
"representable value."
msgstr ""

#: mars.tensor.random.poisson:40 of
msgid "References"
msgstr ""

#: mars.tensor.random.poisson:41 of
msgid ""
"Weisstein, Eric W. \"Poisson Distribution.\" From MathWorld--A Wolfram "
"Web Resource. http://mathworld.wolfram.com/PoissonDistribution.html"
msgstr ""

#: mars.tensor.random.poisson:44 of
msgid ""
"Wikipedia, \"Poisson distribution\", "
"http://en.wikipedia.org/wiki/Poisson_distribution"
msgstr ""

#: mars.tensor.random.poisson:48 of
msgid "Examples"
msgstr ""

#: mars.tensor.random.poisson:49 of
msgid "Draw samples from the distribution:"
msgstr ""

#: mars.tensor.random.poisson:54 of
msgid "Display histogram of the sample:"
msgstr ""

#: mars.tensor.random.poisson:60 of
msgid "Draw each 100 values for lambda 100 and 500:"
msgstr ""

