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# 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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#: ../../source/reference/learn/generated/mars.learn.utils.multiclass.type_of_target.rst:2
msgid "mars.learn.utils.multiclass.type\\_of\\_target"
msgstr ""

#: mars.learn.utils.multiclass.type_of_target:1 of
msgid "Determine the type of data indicated by the target."
msgstr ""

#: mars.learn.utils.multiclass.type_of_target:3 of
msgid ""
"Note that this type is the most specific type that can be inferred. For "
"example:"
msgstr ""

#: mars.learn.utils.multiclass.type_of_target:6 of
msgid "``binary`` is more specific but compatible with ``multiclass``."
msgstr ""

#: mars.learn.utils.multiclass.type_of_target:7 of
msgid ""
"``multiclass`` of integers is more specific but compatible with "
"``continuous``."
msgstr ""

#: mars.learn.utils.multiclass.type_of_target:9 of
msgid ""
"``multilabel-indicator`` is more specific but compatible with "
"``multiclass-multioutput``."
msgstr ""

#: mars.learn.utils.multiclass.type_of_target of
msgid "Parameters"
msgstr ""

#: mars.learn.utils.multiclass.type_of_target of
msgid "Returns"
msgstr ""

#: mars.learn.utils.multiclass.type_of_target:15 of
msgid ""
"**target_type** -- One of:  * 'continuous': `y` is an array-like of "
"floats that are not all   integers, and is 1d or a column vector. * "
"'continuous-multioutput': `y` is a 2d tensor of floats that are   not all"
" integers, and both dimensions are of size > 1. * 'binary': `y` contains "
"<= 2 discrete values and is 1d or a column   vector. * 'multiclass': `y` "
"contains more than two discrete values, is not a   sequence of sequences,"
" and is 1d or a column vector. * 'multiclass-multioutput': `y` is a 2d "
"tensor that contains more   than two discrete values, is not a sequence "
"of sequences, and both   dimensions are of size > 1. * 'multilabel-"
"indicator': `y` is a label indicator matrix, a tensor   of two dimensions"
" with at least two columns, and at most 2 unique   values. * 'unknown': "
"`y` is array-like but none of the above, such as a 3d   tensor, sequence "
"of sequences, or a tensor of non-sequence objects."
msgstr ""

#: mars.learn.utils.multiclass.type_of_target:15 of
msgid "**target_type** -- One of:"
msgstr ""

#: mars.learn.utils.multiclass.type_of_target:17 of
msgid ""
"'continuous': `y` is an array-like of floats that are not all integers, "
"and is 1d or a column vector."
msgstr ""

#: mars.learn.utils.multiclass.type_of_target:19 of
msgid ""
"'continuous-multioutput': `y` is a 2d tensor of floats that are not all "
"integers, and both dimensions are of size > 1."
msgstr ""

#: mars.learn.utils.multiclass.type_of_target:21 of
msgid "'binary': `y` contains <= 2 discrete values and is 1d or a column vector."
msgstr ""

#: mars.learn.utils.multiclass.type_of_target:23 of
msgid ""
"'multiclass': `y` contains more than two discrete values, is not a "
"sequence of sequences, and is 1d or a column vector."
msgstr ""

#: mars.learn.utils.multiclass.type_of_target:25 of
msgid ""
"'multiclass-multioutput': `y` is a 2d tensor that contains more than two "
"discrete values, is not a sequence of sequences, and both dimensions are "
"of size > 1."
msgstr ""

#: mars.learn.utils.multiclass.type_of_target:28 of
msgid ""
"'multilabel-indicator': `y` is a label indicator matrix, a tensor of two "
"dimensions with at least two columns, and at most 2 unique values."
msgstr ""

#: mars.learn.utils.multiclass.type_of_target:31 of
msgid ""
"'unknown': `y` is array-like but none of the above, such as a 3d tensor, "
"sequence of sequences, or a tensor of non-sequence objects."
msgstr ""

#: mars.learn.utils.multiclass.type_of_target of
msgid "Return type"
msgstr ""

#: mars.learn.utils.multiclass.type_of_target:36 of
msgid "Examples"
msgstr ""

