# 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.semi_supervised.LabelPropagation.rst:2
msgid "mars.learn.semi\\_supervised.LabelPropagation"
msgstr ""

#: mars.learn.semi_supervised.LabelPropagation:1 of
msgid "Label Propagation classifier"
msgstr ""

#: mars.learn.semi_supervised.LabelPropagation:3 of
msgid "Read more in the :ref:`User Guide <label_propagation>`."
msgstr ""

#: mars.learn.semi_supervised.LabelPropagation of
msgid "Parameters"
msgstr ""

#: mars.learn.semi_supervised.LabelPropagation:5 of
msgid ""
"String identifier for kernel function to use or the kernel function "
"itself. Only 'rbf' and 'knn' strings are valid inputs. The function "
"passed should take two inputs, each of shape [n_samples, n_features], and"
" return a [n_samples, n_samples] shaped weight matrix."
msgstr ""

#: mars.learn.semi_supervised.LabelPropagation:10 of
msgid "Parameter for rbf kernel"
msgstr ""

#: mars.learn.semi_supervised.LabelPropagation:12 of
msgid "Parameter for knn kernel"
msgstr ""

#: mars.learn.semi_supervised.LabelPropagation:14 of
msgid "Change maximum number of iterations allowed"
msgstr ""

#: mars.learn.semi_supervised.LabelPropagation:16 of
msgid "Convergence tolerance: threshold to consider the system at steady state"
msgstr ""

#: mars.learn.semi_supervised.LabelPropagation:22 of
msgid "Input array."
msgstr ""

#: mars.learn.semi_supervised.LabelPropagation of
msgid "type"
msgstr ""

#: mars.learn.semi_supervised.LabelPropagation:24 of
msgid "array, shape = [n_samples, n_features]"
msgstr ""

#: mars.learn.semi_supervised.LabelPropagation:28 of
msgid "The distinct labels used in classifying instances."
msgstr ""

#: mars.learn.semi_supervised.LabelPropagation:30 of
msgid "array, shape = [n_classes]"
msgstr ""

#: mars.learn.semi_supervised.LabelPropagation:34 of
msgid "Categorical distribution for each item."
msgstr ""

#: mars.learn.semi_supervised.LabelPropagation:36 of
msgid "array, shape = [n_samples, n_classes]"
msgstr ""

#: mars.learn.semi_supervised.LabelPropagation:40 of
msgid "Label assigned to each item via the transduction."
msgstr ""

#: mars.learn.semi_supervised.LabelPropagation:42 of
msgid "array, shape = [n_samples]"
msgstr ""

#: mars.learn.semi_supervised.LabelPropagation:46 of
msgid "Number of iterations run."
msgstr ""

#: mars.learn.semi_supervised.LabelPropagation:48 of
msgid "int"
msgstr ""

#: mars.learn.semi_supervised.LabelPropagation:51 of
msgid "Examples"
msgstr ""

#: mars.learn.semi_supervised.LabelPropagation:65 of
msgid "References"
msgstr ""

#: mars.learn.semi_supervised.LabelPropagation:66 of
msgid ""
"Xiaojin Zhu and Zoubin Ghahramani. Learning from labeled and unlabeled "
"data with label propagation. Technical Report CMU-CALD-02-107, Carnegie "
"Mellon University, 2002 http://pages.cs.wisc.edu/~jerryzhu/pub/CMU-"
"CALD-02-107.pdf"
msgstr ""

#: mars.learn.semi_supervised.LabelPropagation:72 of
msgid ":class:`LabelSpreading`"
msgstr ""

#: mars.learn.semi_supervised.LabelPropagation:73 of
msgid "Alternate label propagation strategy more robust to noise"
msgstr ""

#: mars.learn.semi_supervised.LabelPropagation.__init__:1 of
msgid "Initialize self.  See help(type(self)) for accurate signature."
msgstr ""

#: ../../source/reference/learn/generated/mars.learn.semi_supervised.LabelPropagation.rst:13
msgid "Methods"
msgstr ""

#: ../../source/reference/learn/generated/mars.learn.semi_supervised.LabelPropagation.rst:22:<autosummary>:1
msgid ""
":obj:`__init__ <mars.learn.semi_supervised.LabelPropagation.__init__>`\\ "
"\\(\\[kernel\\, gamma\\, n\\_neighbors\\, ...\\]\\)"
msgstr ""

#: ../../source/reference/learn/generated/mars.learn.semi_supervised.LabelPropagation.rst:22:<autosummary>:1
msgid "Initialize self."
msgstr ""

#: ../../source/reference/learn/generated/mars.learn.semi_supervised.LabelPropagation.rst:22:<autosummary>:1
msgid ""
":obj:`fit <mars.learn.semi_supervised.LabelPropagation.fit>`\\ \\(X\\, "
"y\\[\\, session\\, run\\_kwargs\\]\\)"
msgstr ""

#: ../../source/reference/learn/generated/mars.learn.semi_supervised.LabelPropagation.rst:22:<autosummary>:1
msgid "Fit a semi-supervised label propagation model based"
msgstr ""

#: ../../source/reference/learn/generated/mars.learn.semi_supervised.LabelPropagation.rst:22:<autosummary>:1
msgid ""
":obj:`get_params "
"<mars.learn.semi_supervised.LabelPropagation.get_params>`\\ "
"\\(\\[deep\\]\\)"
msgstr ""

#: ../../source/reference/learn/generated/mars.learn.semi_supervised.LabelPropagation.rst:22:<autosummary>:1
msgid "Get parameters for this estimator."
msgstr ""

#: ../../source/reference/learn/generated/mars.learn.semi_supervised.LabelPropagation.rst:22:<autosummary>:1
msgid ""
":obj:`predict <mars.learn.semi_supervised.LabelPropagation.predict>`\\ "
"\\(X\\[\\, session\\, run\\_kwargs\\]\\)"
msgstr ""

#: ../../source/reference/learn/generated/mars.learn.semi_supervised.LabelPropagation.rst:22:<autosummary>:1
msgid "Performs inductive inference across the model."
msgstr ""

#: ../../source/reference/learn/generated/mars.learn.semi_supervised.LabelPropagation.rst:22:<autosummary>:1
msgid ""
":obj:`predict_proba "
"<mars.learn.semi_supervised.LabelPropagation.predict_proba>`\\ \\(X\\[\\,"
" session\\, run\\_kwargs\\]\\)"
msgstr ""

#: ../../source/reference/learn/generated/mars.learn.semi_supervised.LabelPropagation.rst:22:<autosummary>:1
msgid "Predict probability for each possible outcome."
msgstr ""

#: ../../source/reference/learn/generated/mars.learn.semi_supervised.LabelPropagation.rst:22:<autosummary>:1
msgid ""
":obj:`score <mars.learn.semi_supervised.LabelPropagation.score>`\\ "
"\\(X\\, y\\[\\, sample\\_weight\\, session\\, run\\_kwargs\\]\\)"
msgstr ""

#: ../../source/reference/learn/generated/mars.learn.semi_supervised.LabelPropagation.rst:22:<autosummary>:1
msgid "Return the mean accuracy on the given test data and labels."
msgstr ""

#: ../../source/reference/learn/generated/mars.learn.semi_supervised.LabelPropagation.rst:22:<autosummary>:1
msgid ""
":obj:`set_params "
"<mars.learn.semi_supervised.LabelPropagation.set_params>`\\ "
"\\(\\*\\*params\\)"
msgstr ""

#: ../../source/reference/learn/generated/mars.learn.semi_supervised.LabelPropagation.rst:22:<autosummary>:1
msgid "Set the parameters of this estimator."
msgstr ""

