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#: ../../source/reference/tensor/generated/mars.tensor.random.hypergeometric.rst:2
msgid "mars.tensor.random.hypergeometric"
msgstr ""

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

#: mars.tensor.random.hypergeometric:3 of
msgid ""
"Samples are drawn from a hypergeometric distribution with specified "
"parameters, ngood (ways to make a good selection), nbad (ways to make a "
"bad selection), and nsample = number of items sampled, which is less than"
" or equal to the sum ngood + nbad."
msgstr ""

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

#: mars.tensor.random.hypergeometric:8 of
msgid "Number of ways to make a good selection.  Must be nonnegative."
msgstr ""

#: mars.tensor.random.hypergeometric:10 of
msgid "Number of ways to make a bad selection.  Must be nonnegative."
msgstr ""

#: mars.tensor.random.hypergeometric:12 of
msgid "Number of items sampled.  Must be at least 1 and at most ``ngood + nbad``."
msgstr ""

#: mars.tensor.random.hypergeometric:15 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 ``ngood``, ``nbad``, and ``nsample`` are all scalars.  "
"Otherwise, ``np.broadcast(ngood, nbad, nsample).size`` samples are drawn."
msgstr ""

#: mars.tensor.random.hypergeometric:21 of
msgid "Desired chunk size on each dimension"
msgstr ""

#: mars.tensor.random.hypergeometric:23 of
msgid "Allocate the tensor on GPU if True, False as default"
msgstr ""

#: mars.tensor.random.hypergeometric:25 of
msgid "Data-type of the returned tensor."
msgstr ""

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

#: mars.tensor.random.hypergeometric:28 of
msgid ""
"**out** -- Drawn samples from the parameterized hypergeometric "
"distribution."
msgstr ""

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

#: mars.tensor.random.hypergeometric:33 of
msgid ":func:`scipy.stats.hypergeom`"
msgstr ""

#: mars.tensor.random.hypergeometric:34 of
msgid ""
"probability density function, distribution or cumulative density "
"function, etc."
msgstr ""

#: mars.tensor.random.hypergeometric:37 of
msgid "Notes"
msgstr ""

#: mars.tensor.random.hypergeometric:38 of
msgid "The probability density for the Hypergeometric distribution is"
msgstr ""

#: mars.tensor.random.hypergeometric:40 of
msgid "P(x) = \\frac{\\binom{m}{n}\\binom{N-m}{n-x}}{\\binom{N}{n}},"
msgstr ""

#: mars.tensor.random.hypergeometric:42 of
msgid "where :math:`0 \\le x \\le m` and :math:`n+m-N \\le x \\le n`"
msgstr ""

#: mars.tensor.random.hypergeometric:44 of
msgid ""
"for P(x) the probability of x successes, n = ngood, m = nbad, and N = "
"number of samples."
msgstr ""

#: mars.tensor.random.hypergeometric:47 of
msgid ""
"Consider an urn with black and white marbles in it, ngood of them black "
"and nbad are white. If you draw nsample balls without replacement, then "
"the hypergeometric distribution describes the distribution of black balls"
" in the drawn sample."
msgstr ""

#: mars.tensor.random.hypergeometric:52 of
msgid ""
"Note that this distribution is very similar to the binomial distribution,"
" except that in this case, samples are drawn without replacement, whereas"
" in the Binomial case samples are drawn with replacement (or the sample "
"space is infinite). As the sample space becomes large, this distribution "
"approaches the binomial."
msgstr ""

#: mars.tensor.random.hypergeometric:59 of
msgid "References"
msgstr ""

#: mars.tensor.random.hypergeometric:60 of
msgid ""
"Lentner, Marvin, \"Elementary Applied Statistics\", Bogden and Quigley, "
"1972."
msgstr ""

#: mars.tensor.random.hypergeometric:62 of
msgid ""
"Weisstein, Eric W. \"Hypergeometric Distribution.\" From MathWorld--A "
"Wolfram Web Resource. "
"http://mathworld.wolfram.com/HypergeometricDistribution.html"
msgstr ""

#: mars.tensor.random.hypergeometric:65 of
msgid ""
"Wikipedia, \"Hypergeometric distribution\", "
"http://en.wikipedia.org/wiki/Hypergeometric_distribution"
msgstr ""

#: mars.tensor.random.hypergeometric:69 of
msgid "Examples"
msgstr ""

#: mars.tensor.random.hypergeometric:70 of
msgid "Draw samples from the distribution:"
msgstr ""

#: mars.tensor.random.hypergeometric:80 of
msgid ""
"Suppose you have an urn with 15 white and 15 black marbles. If you pull "
"15 marbles at random, how likely is it that 12 or more of them are one "
"color?"
msgstr ""

