[jira] [Updated] (FLINK-29604) Add Estimator and Transformer for CountVectorizer

2022-11-13 Thread ASF GitHub Bot (Jira)


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https://issues.apache.org/jira/browse/FLINK-29604?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

ASF GitHub Bot updated FLINK-29604:
---
Labels: pull-request-available  (was: )

> Add Estimator and Transformer for CountVectorizer
> -
>
> Key: FLINK-29604
> URL: https://issues.apache.org/jira/browse/FLINK-29604
> Project: Flink
>  Issue Type: New Feature
>  Components: Library / Machine Learning
>Affects Versions: ml-2.2.0
>Reporter: Yunfeng Zhou
>Priority: Major
>  Labels: pull-request-available
> Fix For: ml-2.2.0
>
>
> Add Estimator and Transformer for CountVectorizer.
> Its function would be at least equivalent to Spark's 
> org.apache.spark.ml.feature.CountVectorizer. The relevant PR should contain 
> the following components:
>  * Java implementation/test (Must include)
>  * Python implementation/test (Optional)
>  * Markdown document (Optional)



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[jira] [Updated] (FLINK-29604) Add Estimator and Transformer for CountVectorizer

2022-10-12 Thread Yunfeng Zhou (Jira)


 [ 
https://issues.apache.org/jira/browse/FLINK-29604?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Yunfeng Zhou updated FLINK-29604:
-
Description: 
Add Estimator and Transformer for CountVectorizer.

Its function would be at least equivalent to Spark's 
org.apache.spark.ml.feature.CountVectorizer. The relevant PR should contain the 
following components:
 * Java implementation/test (Must include)
 * Python implementation/test (Optional)
 * Markdown document (Optional)

  was:Add Estimator and Transformer for CountVectorizer.


> Add Estimator and Transformer for CountVectorizer
> -
>
> Key: FLINK-29604
> URL: https://issues.apache.org/jira/browse/FLINK-29604
> Project: Flink
>  Issue Type: New Feature
>  Components: Library / Machine Learning
>Affects Versions: ml-2.2.0
>Reporter: Yunfeng Zhou
>Priority: Major
> Fix For: ml-2.2.0
>
>
> Add Estimator and Transformer for CountVectorizer.
> Its function would be at least equivalent to Spark's 
> org.apache.spark.ml.feature.CountVectorizer. The relevant PR should contain 
> the following components:
>  * Java implementation/test (Must include)
>  * Python implementation/test (Optional)
>  * Markdown document (Optional)



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