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# This file is distributed under the same license as the mars package.
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#: ../../source/reference/tensor/generated/mars.tensor.mean.rst:2
msgid "mars.tensor.mean"
msgstr ""

#: mars.tensor.mean:1 of
msgid "Compute the arithmetic mean along the specified axis."
msgstr ""

#: mars.tensor.mean:3 of
msgid ""
"Returns the average of the array elements.  The average is taken over the"
" flattened tensor by default, otherwise over the specified axis. "
"`float64` intermediate and return values are used for integer inputs."
msgstr ""

#: mars.tensor.mean of
msgid "Parameters"
msgstr ""

#: mars.tensor.mean:7 of
msgid ""
"Tensor containing numbers whose mean is desired. If `a` is not an tensor,"
" a conversion is attempted."
msgstr ""

#: mars.tensor.mean:10 of
msgid ""
"Axis or axes along which the means are computed. The default is to "
"compute the mean of the flattened array.  If this is a tuple of ints, a "
"mean is performed over multiple axes, instead of a single axis or all the"
" axes as before."
msgstr ""

#: mars.tensor.mean:10 of
msgid ""
"Axis or axes along which the means are computed. The default is to "
"compute the mean of the flattened array."
msgstr ""

#: mars.tensor.mean:13 of
msgid ""
"If this is a tuple of ints, a mean is performed over multiple axes, "
"instead of a single axis or all the axes as before."
msgstr ""

#: mars.tensor.mean:16 of
msgid ""
"Type to use in computing the mean.  For integer inputs, the default is "
"`float64`; for floating point inputs, it is the same as the input dtype."
msgstr ""

#: mars.tensor.mean:20 of
msgid ""
"Alternate output tensor in which to place the result.  The default is "
"``None``; if provided, it must have the same shape as the expected "
"output, but the type will be cast if necessary. See `doc.ufuncs` for "
"details."
msgstr ""

#: mars.tensor.mean:25 of
msgid ""
"If this is set to True, the axes which are reduced are left in the result"
" as dimensions with size one. With this option, the result will broadcast"
" correctly against the input tensor.  If the default value is passed, "
"then `keepdims` will not be passed through to the `mean` method of sub-"
"classes of `Tensor`, however any non-default value will be.  If the sub-"
"classes `sum` method does not implement `keepdims` any exceptions will be"
" raised."
msgstr ""

#: mars.tensor.mean:25 of
msgid ""
"If this is set to True, the axes which are reduced are left in the result"
" as dimensions with size one. With this option, the result will broadcast"
" correctly against the input tensor."
msgstr ""

#: mars.tensor.mean:29 of
msgid ""
"If the default value is passed, then `keepdims` will not be passed "
"through to the `mean` method of sub-classes of `Tensor`, however any non-"
"default value will be.  If the sub-classes `sum` method does not "
"implement `keepdims` any exceptions will be raised."
msgstr ""

#: mars.tensor.mean:35 of
msgid "The number of chunks to combine."
msgstr ""

#: mars.tensor.mean of
msgid "Returns"
msgstr ""

#: mars.tensor.mean:38 of
msgid ""
"**m** -- If `out=None`, returns a new tensor containing the mean values, "
"otherwise a reference to the output array is returned."
msgstr ""

#: mars.tensor.mean of
msgid "Return type"
msgstr ""

#: mars.tensor.mean:45 of
msgid ":func:`average`"
msgstr ""

#: mars.tensor.mean:45 of
msgid "Weighted average"
msgstr ""

#: mars.tensor.mean:47 of
msgid ":func:`std`, :func:`var`, :func:`nanmean`, :func:`nanstd`, :func:`nanvar`"
msgstr ""

#: mars.tensor.mean:50 of
msgid "Notes"
msgstr ""

#: mars.tensor.mean:51 of
msgid ""
"The arithmetic mean is the sum of the elements along the axis divided by "
"the number of elements."
msgstr ""

#: mars.tensor.mean:54 of
msgid ""
"Note that for floating-point input, the mean is computed using the same "
"precision the input has.  Depending on the input data, this can cause the"
" results to be inaccurate, especially for `float32` (see example below)."
"  Specifying a higher-precision accumulator using the `dtype` keyword can"
" alleviate this issue."
msgstr ""

#: mars.tensor.mean:60 of
msgid ""
"By default, `float16` results are computed using `float32` intermediates "
"for extra precision."
msgstr ""

#: mars.tensor.mean:64 of
msgid "Examples"
msgstr ""

#: mars.tensor.mean:75 of
msgid "In single precision, `mean` can be inaccurate:"
msgstr ""

#: mars.tensor.mean:83 of
msgid "Computing the mean in float64 is more accurate:"
msgstr ""

