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https://issues.apache.org/jira/browse/FLINK-2186?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Theodore Vasiloudis updated FLINK-2186:
---------------------------------------
Description:
In the current readVcsFile implementation, importing CSV files with many
columns can become from cumbersome to impossible.
For example to import an 11 column file we need to write:
{code}
val cancer = env.readCsvFile[(String, String, String, String, String, String,
String, String, String, String,
String)]("/path/to/breast-cancer-wisconsin.data")
{code}
For many use cases in Machine Learning we might have CSV files with thousands
or millions of columns that we want to import as vectors.
In that case using the current readCsvFile method becomes impossible.
We therefore need to rework the current function, or create a new one that will
allow us to import CSV files with an arbitrary number of columns.
was:
In the current readVcsFile implementation, importing CSV files with many
columns can become from cumbersome to impossible.
For example to import an 11 column file wee need to write:
{code}
val cancer = env.readCsvFile[(String, String, String, String, String, String,
String, String, String, String,
String)]("/path/to/breast-cancer-wisconsin.data")
{code}
For many use cases in Machine Learning we might have CSV files with thousands
or millions of columns that we want to import as vectors.
In that case using the current readCsvFile method becomes impossible.
We therefore need to rework the current function, or create a new one that will
allow us to import CSV files with an arbitrary number of columns.
> Rework SVM import to support very wide files
> --------------------------------------------
>
> Key: FLINK-2186
> URL: https://issues.apache.org/jira/browse/FLINK-2186
> Project: Flink
> Issue Type: Improvement
> Components: Machine Learning Library, Scala API
> Reporter: Theodore Vasiloudis
>
> In the current readVcsFile implementation, importing CSV files with many
> columns can become from cumbersome to impossible.
> For example to import an 11 column file we need to write:
> {code}
> val cancer = env.readCsvFile[(String, String, String, String, String, String,
> String, String, String, String,
> String)]("/path/to/breast-cancer-wisconsin.data")
> {code}
> For many use cases in Machine Learning we might have CSV files with thousands
> or millions of columns that we want to import as vectors.
> In that case using the current readCsvFile method becomes impossible.
> We therefore need to rework the current function, or create a new one that
> will allow us to import CSV files with an arbitrary number of columns.
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