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https://issues.apache.org/jira/browse/SPARK-19899?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15905480#comment-15905480
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Maciej Szymkiewicz commented on SPARK-19899:
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This is just an idea, but I would start with:
- {{featuresCol}} - {{VectorUDT}}
- {{transactionsCol}} - {{Array<\_>}} - for frequent (unordered) pattern mining.
- {{sequencesCol}} - {{Array<Array<\_>>}} - for sequential pattern ming.
> FPGrowth input column naming
> ----------------------------
>
> Key: SPARK-19899
> URL: https://issues.apache.org/jira/browse/SPARK-19899
> Project: Spark
> Issue Type: Improvement
> Components: ML
> Affects Versions: 2.2.0
> Reporter: Maciej Szymkiewicz
>
> Current implementation extends {{HasFeaturesCol}}. Personally I find it
> rather unfortunate. Up to this moment we used consistent conventions - if we
> mix-in {{HasFeaturesCol}} the {{featuresCol}} should be {{VectorUDT}}.
> Using the same {{Param}} for an {{array<T>}} (and possibly for
> {{array<arrray<T>>}} once {{PrefixSpan}} is ported to {{ml}}) will be
> confusing for the users.
> I would like to suggest adding new {{trait}} (let's say
> {{HasTransactionsCol}}) to clearly indicate that the input type differs for
> the other {{Estiamtors}}.
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