# 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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#: ../../source/reference/learn/generated/mars.learn.metrics.pairwise.manhattan_distances.rst:2
msgid "mars.learn.metrics.pairwise.manhattan\\_distances"
msgstr ""

#: mars.learn.metrics.pairwise.manhattan_distances:1 of
msgid "Compute the L1 distances between the vectors in X and Y."
msgstr ""

#: mars.learn.metrics.pairwise.manhattan_distances:3 of
msgid ""
"With sum_over_features equal to False it returns the componentwise "
"distances."
msgstr ""

#: mars.learn.metrics.pairwise.manhattan_distances:6 of
msgid "Read more in the :ref:`User Guide <metrics>`."
msgstr ""

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

#: mars.learn.metrics.pairwise.manhattan_distances:8 of
msgid "A tensor with shape (n_samples_X, n_features)."
msgstr ""

#: mars.learn.metrics.pairwise.manhattan_distances:10 of
msgid "A tensor with shape (n_samples_Y, n_features)."
msgstr ""

#: mars.learn.metrics.pairwise.manhattan_distances:12 of
msgid ""
"If True the function returns the pairwise distance matrix else it returns"
" the componentwise L1 pairwise-distances. Not supported for sparse matrix"
" inputs."
msgstr ""

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

#: mars.learn.metrics.pairwise.manhattan_distances:17 of
msgid ""
"**D** -- If sum_over_features is False shape is (n_samples_X * "
"n_samples_Y, n_features) and D contains the componentwise L1 pairwise-"
"distances (ie. absolute difference), else shape is (n_samples_X, "
"n_samples_Y) and D contains the pairwise L1 distances."
msgstr ""

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

#: mars.learn.metrics.pairwise.manhattan_distances:25 of
msgid "Examples"
msgstr ""

