You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@flink.apache.org by "Stavros Kontopoulos (JIRA)" <ji...@apache.org> on 2017/02/13 11:00:43 UTC

[jira] [Created] (FLINK-5785) Add an Imputer for preparing data

Stavros Kontopoulos created FLINK-5785:
------------------------------------------

             Summary: Add an Imputer for preparing data
                 Key: FLINK-5785
                 URL: https://issues.apache.org/jira/browse/FLINK-5785
             Project: Flink
          Issue Type: New Feature
          Components: Machine Learning Library
            Reporter: Stavros Kontopoulos


We need to add an Imputer as described in [1].

"The Imputer class provides basic strategies for imputing missing values, either using the mean, the median or the most frequent value of the row or column in which the missing values are located. This class also allows for different missing values encodings."

References
1. http://scikit-learn.org/stable/modules/preprocessing.html#preprocessing
2. http://scikit-learn.org/stable/auto_examples/missing_values.html#sphx-glr-auto-examples-missing-values-py



--
This message was sent by Atlassian JIRA
(v6.3.15#6346)