[
https://issues.apache.org/jira/browse/SPARK-14623?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
hujiayin updated SPARK-14623:
-----------------------------
Description:
It relates to https://issues.apache.org/jira/browse/SPARK-7445
Map the labels to 0/1.
For example,
Input:
"yellow,green,red,green,0"
The labels: "0, green, red, yellow"
Output:
0, 0, 0, 1
0, 1, 0, 0
0, 0, 1, 0
0, 1, 0, 0
1, 0 ,0, 0
Refer to
http://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelBinarizer.html
was:
It relates to https://issues.apache.org/jira/browse/SPARK-7445
Map the labels to 0/1.
For example,
Input:
"yellow,green,red,green,0"
The labels: "0, green, red, yellow"
Output:
0, 0, 0, 1
0, 1, 0, 0
0, 0, 1, 0
0, 1, 0, 0
1, 0 ,0, 0
> add label binarizer
> --------------------
>
> Key: SPARK-14623
> URL: https://issues.apache.org/jira/browse/SPARK-14623
> Project: Spark
> Issue Type: New Feature
> Components: ML
> Reporter: hujiayin
> Priority: Minor
> Original Estimate: 1h
> Remaining Estimate: 1h
>
> It relates to https://issues.apache.org/jira/browse/SPARK-7445
> Map the labels to 0/1.
> For example,
> Input:
> "yellow,green,red,green,0"
> The labels: "0, green, red, yellow"
> Output:
> 0, 0, 0, 1
> 0, 1, 0, 0
> 0, 0, 1, 0
> 0, 1, 0, 0
> 1, 0 ,0, 0
> Refer to
> http://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelBinarizer.html
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
