# SOME DESCRIPTIVE TITLE.
# 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.
#
#, fuzzy
msgid ""
msgstr ""
"Project-Id-Version: mars 0.5.0a2\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2020-06-16 16:57+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language-Team: LANGUAGE <LL@li.org>\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=utf-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Generated-By: Babel 2.7.0\n"

#: ../../source/reference/learn/generated/mars.learn.utils.check_X_y.rst:2
msgid "mars.learn.utils.check\\_X\\_y"
msgstr ""

#: mars.learn.utils.check_X_y:1 of
msgid "Input validation for standard estimators."
msgstr ""

#: mars.learn.utils.check_X_y:3 of
msgid ""
"Checks X and y for consistent length, enforces X to be 2D and y 1D. By "
"default, X is checked to be non-empty and containing only finite values. "
"Standard input checks are also applied to y, such as checking that y does"
" not have np.nan or np.inf targets. For multi-label y, set "
"multi_output=True to allow 2D and sparse y. If the dtype of X is object, "
"attempt converting to float, raising on failure."
msgstr ""

#: mars.learn.utils.check_X_y of
msgid "Parameters"
msgstr ""

#: mars.learn.utils.check_X_y:10 of
msgid "Input data."
msgstr ""

#: mars.learn.utils.check_X_y:12 of
msgid "Labels."
msgstr ""

#: mars.learn.utils.check_X_y:14 of
msgid ""
"String[s] representing allowed sparse matrix formats, such as 'csc', "
"'csr', etc. If the input is sparse but not in the allowed format, it will"
" be converted to the first listed format. True allows the input to be any"
" format. False means that a sparse matrix input will raise an error."
msgstr ""

#: mars.learn.utils.check_X_y:20 of
msgid ""
"If a CSR, CSC, COO or BSR sparse matrix is supplied and accepted by "
"accept_sparse, accept_large_sparse will cause it to be accepted only if "
"its indices are stored with a 32-bit dtype."
msgstr ""

#: mars.learn.utils.check_X_y:24 of
msgid ""
"Data type of result. If None, the dtype of the input is preserved. If "
"\"numeric\", dtype is preserved unless array.dtype is object. If dtype is"
" a list of types, conversion on the first type is only performed if the "
"dtype of the input is not in the list."
msgstr ""

#: mars.learn.utils.check_X_y:29 of
msgid "Whether an array will be forced to be fortran or c-style."
msgstr ""

#: mars.learn.utils.check_X_y:31 of
msgid ""
"Whether a forced copy will be triggered. If copy=False, a copy might be "
"triggered by a conversion."
msgstr ""

#: mars.learn.utils.check_X_y:34 of
msgid ""
"Whether to raise an error on np.inf and np.nan in X. This parameter does "
"not influence whether y can have np.inf or np.nan values. The "
"possibilities are:  - True: Force all values of X to be finite. - False: "
"accept both np.inf and np.nan in X. - 'allow-nan': accept only np.nan "
"values in X. Values cannot be   infinite."
msgstr ""

#: mars.learn.utils.check_X_y:34 of
msgid ""
"Whether to raise an error on np.inf and np.nan in X. This parameter does "
"not influence whether y can have np.inf or np.nan values. The "
"possibilities are:"
msgstr ""

#: mars.learn.utils.check_X_y:38 of
msgid "True: Force all values of X to be finite."
msgstr ""

#: mars.learn.utils.check_X_y:39 of
msgid "False: accept both np.inf and np.nan in X."
msgstr ""

#: mars.learn.utils.check_X_y:40 of
msgid "'allow-nan': accept only np.nan values in X. Values cannot be infinite."
msgstr ""

#: mars.learn.utils.check_X_y:43 of
msgid "Whether to raise a value error if X is not 2D."
msgstr ""

#: mars.learn.utils.check_X_y:45 of
msgid "Whether to allow X.ndim > 2."
msgstr ""

#: mars.learn.utils.check_X_y:47 of
msgid ""
"Whether to allow 2D y (array or sparse matrix). If false, y will be "
"validated as a vector. y cannot have np.nan or np.inf values if "
"multi_output=True."
msgstr ""

#: mars.learn.utils.check_X_y:51 of
msgid ""
"Make sure that X has a minimum number of samples in its first axis (rows "
"for a 2D array)."
msgstr ""

#: mars.learn.utils.check_X_y:54 of
msgid ""
"Make sure that the 2D array has some minimum number of features "
"(columns). The default value of 1 rejects empty datasets. This check is "
"only enforced when X has effectively 2 dimensions or is originally 1D and"
" ``ensure_2d`` is True. Setting to 0 disables this check."
msgstr ""

#: mars.learn.utils.check_X_y:60 of
msgid ""
"Whether to ensure that y has a numeric type. If dtype of y is object, it "
"is converted to float64. Should only be used for regression algorithms."
msgstr ""

#: mars.learn.utils.check_X_y:64 of
msgid "If passed, include the name of the estimator in warning messages."
msgstr ""

#: mars.learn.utils.check_X_y of
msgid "Returns"
msgstr ""

#: mars.learn.utils.check_X_y:67 of
msgid ""
"* **X_converted** (*object*) -- The converted and validated X. * "
"**y_converted** (*object*) -- The converted and validated y."
msgstr ""

#: mars.learn.utils.check_X_y:67 of
msgid "**X_converted** (*object*) -- The converted and validated X."
msgstr ""

#: mars.learn.utils.check_X_y:68 of
msgid "**y_converted** (*object*) -- The converted and validated y."
msgstr ""

