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From: takuti <git@git.apache.org>
To: issues@hivemall.incubator.apache.org
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Subject: [GitHub] incubator-hivemall pull request #107: [HIVEMALL-132] Generalize f1score UDAF...
Content-Type: text/plain
Message-Id: <20170821081758.4F4DFF5EE9@git1-us-west.apache.org>
Date: Mon, 21 Aug 2017 08:17:58 +0000 (UTC)
archived-at: Mon, 21 Aug 2017 08:18:05 -0000

Github user takuti commented on a diff in the pull request:

    https://github.com/apache/incubator-hivemall/pull/107#discussion_r134141287
  
    --- Diff: docs/gitbook/eval/multilabel_classification_measures.md ---
    @@ -0,0 +1,144 @@
    +<!--
    +  Licensed to the Apache Software Foundation (ASF) under one
    +  or more contributor license agreements.  See the NOTICE file
    +  distributed with this work for additional information
    +  regarding copyright ownership.  The ASF licenses this file
    +  to you under the Apache License, Version 2.0 (the
    +  "License"); you may not use this file except in compliance
    +  with the License.  You may obtain a copy of the License at
    +
    +    http://www.apache.org/licenses/LICENSE-2.0
    +
    +  Unless required by applicable law or agreed to in writing,
    +  software distributed under the License is distributed on an
    +  "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
    +  KIND, either express or implied.  See the License for the
    +  specific language governing permissions and limitations
    +  under the License.
    +-->
    +
    +<!-- toc -->
    +
    +# Multi-label classification
    +
    +
    +Multi-label classification problem is the task to predict the labels given categorized dataset.
    +Each sample $$i$$ has $$l_i$$ labels, where $$L$$ is the number of unique labels in the dataset, and $$0 \leq  l_i \leq |L| $$.
    +
    +This page focuses on evaluation of the results from such multi-label classification problems.
    +
    +# Example
    +
    +For the metrics explanation, this page introduces toy example dataset.
    +
    +## Data
    +
    +The following table shows the sample of multi-label classification's prediction.
    +Animal names represent the tags of blog post.
    +Left column includes supervised labels,
    --- End diff --
    
    Let you fix typo and strange capitalization as: "Left column includes supervised labels, and right column includes predicted labels by a multi-label classifier."


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