# 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: 2021-08-03 18:42+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.contrib.lightgbm.LGBMRanker.rst:2
msgid "mars.learn.contrib.lightgbm.LGBMRanker"
msgstr ""

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

#: ../../source/reference/learn/generated/mars.learn.contrib.lightgbm.LGBMRanker.rst:13
msgid "Methods"
msgstr ""

#: ../../source/reference/learn/generated/mars.learn.contrib.lightgbm.LGBMRanker.rst:28:<autosummary>:1
msgid ""
":obj:`__init__ <mars.learn.contrib.lightgbm.LGBMRanker.__init__>`\\ "
"\\(\\*args\\, \\*\\*kwargs\\)"
msgstr ""

#: ../../source/reference/learn/generated/mars.learn.contrib.lightgbm.LGBMRanker.rst:28:<autosummary>:1
msgid "Initialize self."
msgstr ""

#: ../../source/reference/learn/generated/mars.learn.contrib.lightgbm.LGBMRanker.rst:28:<autosummary>:1
msgid ""
":obj:`fit <mars.learn.contrib.lightgbm.LGBMRanker.fit>`\\ \\(X\\, y\\[\\,"
" sample\\_weight\\, init\\_score\\, ...\\]\\)"
msgstr ""

#: ../../source/reference/learn/generated/mars.learn.contrib.lightgbm.LGBMRanker.rst:28:<autosummary>:1
msgid "Build a gradient boosting model from the training set (X, y)."
msgstr ""

#: ../../source/reference/learn/generated/mars.learn.contrib.lightgbm.LGBMRanker.rst:28:<autosummary>:1
msgid ""
":obj:`get_params <mars.learn.contrib.lightgbm.LGBMRanker.get_params>`\\ "
"\\(\\[deep\\]\\)"
msgstr ""

#: ../../source/reference/learn/generated/mars.learn.contrib.lightgbm.LGBMRanker.rst:28:<autosummary>:1
msgid "Get parameters for this estimator."
msgstr ""

#: ../../source/reference/learn/generated/mars.learn.contrib.lightgbm.LGBMRanker.rst:28:<autosummary>:1
msgid ""
":obj:`load_model <mars.learn.contrib.lightgbm.LGBMRanker.load_model>`\\ "
"\\(model\\)"
msgstr ""

#: ../../source/reference/learn/generated/mars.learn.contrib.lightgbm.LGBMRanker.rst:28:<autosummary>:1
msgid ""
":obj:`predict <mars.learn.contrib.lightgbm.LGBMRanker.predict>`\\ \\(X\\,"
" \\*\\*kw\\)"
msgstr ""

#: ../../source/reference/learn/generated/mars.learn.contrib.lightgbm.LGBMRanker.rst:28:<autosummary>:1
msgid "Return the predicted value for each sample."
msgstr ""

#: ../../source/reference/learn/generated/mars.learn.contrib.lightgbm.LGBMRanker.rst:28:<autosummary>:1
msgid ""
":obj:`predict_proba "
"<mars.learn.contrib.lightgbm.LGBMRanker.predict_proba>`\\ \\(X\\, "
"\\*\\*kwargs\\)"
msgstr ""

#: ../../source/reference/learn/generated/mars.learn.contrib.lightgbm.LGBMRanker.rst:28:<autosummary>:1
msgid ""
":obj:`set_params <mars.learn.contrib.lightgbm.LGBMRanker.set_params>`\\ "
"\\(\\*\\*params\\)"
msgstr ""

#: ../../source/reference/learn/generated/mars.learn.contrib.lightgbm.LGBMRanker.rst:28:<autosummary>:1
msgid "Set the parameters of this estimator."
msgstr ""

#: ../../source/reference/learn/generated/mars.learn.contrib.lightgbm.LGBMRanker.rst:28:<autosummary>:1
msgid ":obj:`to_local <mars.learn.contrib.lightgbm.LGBMRanker.to_local>`\\ \\(\\)"
msgstr ""

#: ../../source/reference/learn/generated/mars.learn.contrib.lightgbm.LGBMRanker.rst:30
msgid "Attributes"
msgstr ""

#: ../../source/reference/learn/generated/mars.learn.contrib.lightgbm.LGBMRanker.rst:41:<autosummary>:1
msgid ""
":obj:`best_iteration_ "
"<mars.learn.contrib.lightgbm.LGBMRanker.best_iteration_>`\\"
msgstr ""

#: ../../source/reference/learn/generated/mars.learn.contrib.lightgbm.LGBMRanker.rst:41:<autosummary>:1
msgid ""
"The best iteration of fitted model if ``early_stopping_rounds`` has been "
"specified."
msgstr ""

#: ../../source/reference/learn/generated/mars.learn.contrib.lightgbm.LGBMRanker.rst:41:<autosummary>:1
msgid ":obj:`best_score_ <mars.learn.contrib.lightgbm.LGBMRanker.best_score_>`\\"
msgstr ""

#: ../../source/reference/learn/generated/mars.learn.contrib.lightgbm.LGBMRanker.rst:41:<autosummary>:1
msgid "The best score of fitted model."
msgstr ""

#: ../../source/reference/learn/generated/mars.learn.contrib.lightgbm.LGBMRanker.rst:41:<autosummary>:1
msgid ":obj:`booster_ <mars.learn.contrib.lightgbm.LGBMRanker.booster_>`\\"
msgstr ""

#: ../../source/reference/learn/generated/mars.learn.contrib.lightgbm.LGBMRanker.rst:41:<autosummary>:1
msgid "The underlying Booster of this model."
msgstr ""

#: ../../source/reference/learn/generated/mars.learn.contrib.lightgbm.LGBMRanker.rst:41:<autosummary>:1
msgid ""
":obj:`evals_result_ "
"<mars.learn.contrib.lightgbm.LGBMRanker.evals_result_>`\\"
msgstr ""

#: ../../source/reference/learn/generated/mars.learn.contrib.lightgbm.LGBMRanker.rst:41:<autosummary>:1
msgid "The evaluation results if ``early_stopping_rounds`` has been specified."
msgstr ""

#: ../../source/reference/learn/generated/mars.learn.contrib.lightgbm.LGBMRanker.rst:41:<autosummary>:1
msgid ""
":obj:`feature_importances_ "
"<mars.learn.contrib.lightgbm.LGBMRanker.feature_importances_>`\\"
msgstr ""

#: ../../source/reference/learn/generated/mars.learn.contrib.lightgbm.LGBMRanker.rst:41:<autosummary>:1
msgid "The feature importances (the higher, the more important)."
msgstr ""

#: ../../source/reference/learn/generated/mars.learn.contrib.lightgbm.LGBMRanker.rst:41:<autosummary>:1
msgid ""
":obj:`feature_name_ "
"<mars.learn.contrib.lightgbm.LGBMRanker.feature_name_>`\\"
msgstr ""

#: ../../source/reference/learn/generated/mars.learn.contrib.lightgbm.LGBMRanker.rst:41:<autosummary>:1
msgid "The names of features."
msgstr ""

#: ../../source/reference/learn/generated/mars.learn.contrib.lightgbm.LGBMRanker.rst:41:<autosummary>:1
msgid ":obj:`n_features_ <mars.learn.contrib.lightgbm.LGBMRanker.n_features_>`\\"
msgstr ""

#: ../../source/reference/learn/generated/mars.learn.contrib.lightgbm.LGBMRanker.rst:41:<autosummary>:1
msgid "The number of features of fitted model."
msgstr ""

#: ../../source/reference/learn/generated/mars.learn.contrib.lightgbm.LGBMRanker.rst:41:<autosummary>:1
msgid ""
":obj:`n_features_in_ "
"<mars.learn.contrib.lightgbm.LGBMRanker.n_features_in_>`\\"
msgstr ""

#: ../../source/reference/learn/generated/mars.learn.contrib.lightgbm.LGBMRanker.rst:41:<autosummary>:1
msgid ":obj:`objective_ <mars.learn.contrib.lightgbm.LGBMRanker.objective_>`\\"
msgstr ""

#: ../../source/reference/learn/generated/mars.learn.contrib.lightgbm.LGBMRanker.rst:41:<autosummary>:1
msgid "The concrete objective used while fitting this model."
msgstr ""

