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https://issues.apache.org/jira/browse/SYSTEMML-887?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Deron Eriksson updated SYSTEMML-887:
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Description:
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 should also be dynamically determined from
the data structure and data itself.
was:
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.
> 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 should also be dynamically determined from
> the data structure and data itself.
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