# 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.
#
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"Project-Id-Version: mars 0.5.0a2\n"
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"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"
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#: ../../source/reference/learn/generated/mars.learn.metrics.pairwise.cosine_distances.rst:2
msgid "mars.learn.metrics.pairwise.cosine\\_distances"
msgstr ""

#: mars.learn.metrics.pairwise.cosine_distances:1 of
msgid "Compute cosine distance between samples in X and Y."
msgstr ""

#: mars.learn.metrics.pairwise.cosine_distances:3 of
msgid "Cosine distance is defined as 1.0 minus the cosine similarity."
msgstr ""

#: mars.learn.metrics.pairwise.cosine_distances:5 of
msgid "Read more in the :ref:`User Guide <metrics>`."
msgstr ""

#: mars.learn.metrics.pairwise.cosine_distances of
msgid "Parameters"
msgstr ""

#: mars.learn.metrics.pairwise.cosine_distances:7 of
msgid "with shape (n_samples_X, n_features)."
msgstr ""

#: mars.learn.metrics.pairwise.cosine_distances:9 of
msgid "with shape (n_samples_Y, n_features)."
msgstr ""

#: mars.learn.metrics.pairwise.cosine_distances of
msgid "Returns"
msgstr ""

#: mars.learn.metrics.pairwise.cosine_distances:12 of
msgid "**distance matrix** -- A tensor with shape (n_samples_X, n_samples_Y)."
msgstr ""

#: mars.learn.metrics.pairwise.cosine_distances of
msgid "Return type"
msgstr ""

#: mars.learn.metrics.pairwise.cosine_distances:17 of
msgid ":func:`mars.learn.metrics.pairwise.cosine_similarity`"
msgstr ""

#: mars.learn.metrics.pairwise.cosine_distances:19 of
msgid ":func:`mars.tensor.spatial.distance.cosine`"
msgstr ""

#: mars.learn.metrics.pairwise.cosine_distances:20 of
msgid "dense matrices only"
msgstr ""

