# SOME DESCRIPTIVE TITLE.
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# This file is distributed under the same license as the mars package.
# FIRST AUTHOR <EMAIL@ADDRESS>, 2020.
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#: ../../source/reference/tensor/generated/mars.tensor.random.exponential.rst:2
msgid "mars.tensor.random.exponential"
msgstr ""

#: mars.tensor.random.exponential:1 of
msgid "Draw samples from an exponential distribution."
msgstr ""

#: mars.tensor.random.exponential:3 of
msgid "Its probability density function is"
msgstr ""

#: mars.tensor.random.exponential:5 of
msgid "f(x; \\frac{1}{\\beta}) = \\frac{1}{\\beta} \\exp(-\\frac{x}{\\beta}),"
msgstr ""

#: mars.tensor.random.exponential:7 of
msgid ""
"for ``x > 0`` and 0 elsewhere. :math:`\\beta` is the scale parameter, "
"which is the inverse of the rate parameter :math:`\\lambda = 1/\\beta`. "
"The rate parameter is an alternative, widely used parameterization of the"
" exponential distribution [3]_."
msgstr ""

#: mars.tensor.random.exponential:12 of
msgid ""
"The exponential distribution is a continuous analogue of the geometric "
"distribution.  It describes many common situations, such as the size of "
"raindrops measured over many rainstorms [1]_, or the time between page "
"requests to Wikipedia [2]_."
msgstr ""

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

#: mars.tensor.random.exponential:17 of
msgid "The scale parameter, :math:`\\beta = 1/\\lambda`."
msgstr ""

#: mars.tensor.random.exponential:19 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 ``scale`` is a scalar.  Otherwise, ``np.array(scale).size`` "
"samples are drawn."
msgstr ""

#: mars.tensor.random.exponential:24 of
msgid "Desired chunk size on each dimension"
msgstr ""

#: mars.tensor.random.exponential:26 of
msgid "Allocate the tensor on GPU if True, False as default"
msgstr ""

#: mars.tensor.random.exponential:28 of
msgid "Data-type of the returned tensor."
msgstr ""

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

#: mars.tensor.random.exponential:31 of
msgid "**out** -- Drawn samples from the parameterized exponential distribution."
msgstr ""

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

#: mars.tensor.random.exponential:35 of
msgid "References"
msgstr ""

#: mars.tensor.random.exponential:36 of
msgid ""
"Peyton Z. Peebles Jr., \"Probability, Random Variables and Random Signal "
"Principles\", 4th ed, 2001, p. 57."
msgstr ""

#: mars.tensor.random.exponential:38 of
msgid ""
"Wikipedia, \"Poisson process\", "
"http://en.wikipedia.org/wiki/Poisson_process"
msgstr ""

#: mars.tensor.random.exponential:40 of
msgid ""
"Wikipedia, \"Exponential distribution\", "
"http://en.wikipedia.org/wiki/Exponential_distribution"
msgstr ""

