Theodore Vasiloudis created FLINK-2186:
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Summary: Reworj 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 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 therefor 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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