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Posted to issues@spark.apache.org by "Gayathri Murali (JIRA)" <ji...@apache.org> on 2016/05/18 18:25:13 UTC
[jira] [Comment Edited] (SPARK-15100) Audit: ml.feature
[ https://issues.apache.org/jira/browse/SPARK-15100?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15289513#comment-15289513 ]
Gayathri Murali edited comment on SPARK-15100 at 5/18/16 6:25 PM:
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While making changes to CountVectorizer, HashingTF and QuantileDiscretizer I found the following issues
1. RelativeError is not available in Python for Quantile Discretizer.
2. Inbuilt Python examples in feature.py does not include the newly added binary toggle parameter in both HashingTF and CountVectorizer
3. I am making changes to the example source code to include these parameters so that it reflects in the user doc. I hope this is expected
For 1 and 2, Should I send out a separate PR?
was (Author: gayathrimurali):
While making changes to CountVectorizer, HashingTF and QuantileDiscretizer I found the following issues
1. RelativeError is not available in Python for Quantile Discretizer.
2. In built Python examples in feature.py does not include the newly added parameters such as Binary or relative Error
3. I am making changes to the example source code to include these parameters in model building. I hope this is expected
For 1 and 2, Should I send out a separate PR?
> Audit: ml.feature
> -----------------
>
> Key: SPARK-15100
> URL: https://issues.apache.org/jira/browse/SPARK-15100
> Project: Spark
> Issue Type: Documentation
> Components: Documentation, ML
> Reporter: Joseph K. Bradley
>
> Audit this sub-package for new algorithms which do not have corresponding sections & examples in the user guide.
> See parent issue for more details.
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