You are viewing a plain text version of this content. The canonical link for it is here.

Posted to issues@systemml.apache.org by "Deron Eriksson (JIRA)" <ji...@apache.org> on 2016/08/30 00:01:40 UTC

[jira] [Created] (SYSTEMML-887) Automatic DataFrame type determination in MLContext

Deron Eriksson created SYSTEMML-887:
---------------------------------------

             Summary: Automatic DataFrame type determination in MLContext
                 Key: SYSTEMML-887
                 URL: https://issues.apache.org/jira/browse/SYSTEMML-887
             Project: SystemML
          Issue Type: Task
          Components: APIs
            Reporter: Deron Eriksson
            Assignee: Deron Eriksson


Currently the new MLContext API supports the following 4 DataFrame types:
1) ID column with doubles
2) No ID column with doubles
3) ID column with vector
4) No ID column with vector

When feeding a DataFrame input into the new MLContext API, the DataFrame type can be specified as a MatrixFormat.

For usability, the DataFrame type can also be dynamically determined from the data structure and data itself.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)