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

#: mars.tensor.random.vonmises:1 of
msgid "Draw samples from a von Mises distribution."
msgstr ""

#: mars.tensor.random.vonmises:3 of
msgid ""
"Samples are drawn from a von Mises distribution with specified mode (mu) "
"and dispersion (kappa), on the interval [-pi, pi]."
msgstr ""

#: mars.tensor.random.vonmises:6 of
msgid ""
"The von Mises distribution (also known as the circular normal "
"distribution) is a continuous probability distribution on the unit "
"circle.  It may be thought of as the circular analogue of the normal "
"distribution."
msgstr ""

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

#: mars.tensor.random.vonmises:11 of
msgid "Mode (\"center\") of the distribution."
msgstr ""

#: mars.tensor.random.vonmises:13 of
msgid "Dispersion of the distribution, has to be >=0."
msgstr ""

#: mars.tensor.random.vonmises: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 ``mu`` and ``kappa`` are both scalars. Otherwise, "
"``np.broadcast(mu, kappa).size`` samples are drawn."
msgstr ""

#: mars.tensor.random.vonmises:20 of
msgid "Desired chunk size on each dimension"
msgstr ""

#: mars.tensor.random.vonmises:22 of
msgid "Allocate the tensor on GPU if True, False as default"
msgstr ""

#: mars.tensor.random.vonmises:24 of
msgid "Data-type of the returned tensor."
msgstr ""

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

#: mars.tensor.random.vonmises:27 of
msgid "**out** -- Drawn samples from the parameterized von Mises distribution."
msgstr ""

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

#: mars.tensor.random.vonmises:32 of
msgid ":func:`scipy.stats.vonmises`"
msgstr ""

#: mars.tensor.random.vonmises:33 of
msgid ""
"probability density function, distribution, or cumulative density "
"function, etc."
msgstr ""

#: mars.tensor.random.vonmises:36 of
msgid "Notes"
msgstr ""

#: mars.tensor.random.vonmises:37 of
msgid "The probability density for the von Mises distribution is"
msgstr ""

#: mars.tensor.random.vonmises:39 of
msgid "p(x) = \\frac{e^{\\kappa cos(x-\\mu)}}{2\\pi I_0(\\kappa)},"
msgstr ""

#: mars.tensor.random.vonmises:41 of
msgid ""
"where :math:`\\mu` is the mode and :math:`\\kappa` the dispersion, and "
":math:`I_0(\\kappa)` is the modified Bessel function of order 0."
msgstr ""

#: mars.tensor.random.vonmises:44 of
msgid ""
"The von Mises is named for Richard Edler von Mises, who was born in "
"Austria-Hungary, in what is now the Ukraine.  He fled to the United "
"States in 1939 and became a professor at Harvard.  He worked in "
"probability theory, aerodynamics, fluid mechanics, and philosophy of "
"science."
msgstr ""

#: mars.tensor.random.vonmises:51 of
msgid "References"
msgstr ""

#: mars.tensor.random.vonmises:52 of
msgid ""
"Abramowitz, M. and Stegun, I. A. (Eds.). \"Handbook of Mathematical "
"Functions with Formulas, Graphs, and Mathematical Tables, 9th printing,\""
" New York: Dover, 1972."
msgstr ""

#: mars.tensor.random.vonmises:55 of
msgid ""
"von Mises, R., \"Mathematical Theory of Probability and Statistics\", New"
" York: Academic Press, 1964."
msgstr ""

#: mars.tensor.random.vonmises:59 of
msgid "Examples"
msgstr ""

#: mars.tensor.random.vonmises:60 of
msgid "Draw samples from the distribution:"
msgstr ""

#: mars.tensor.random.vonmises:67 of
msgid ""
"Display the histogram of the samples, along with the probability density "
"function:"
msgstr ""

