[
https://issues.apache.org/jira/browse/SPARK-20271?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
yuhao yang updated SPARK-20271:
---
Description:
Just to share some code I implemented to help easily create a custom
Transformer in one line of code w.
{code} val labelConverter = new FuncTransformer((i: Double) => if (i >= 1) 1
else 0) {code}
This was used in many of my projects and is pretty helpful (Maybe I'm lazy..).
The transformer can be saved/loaded as other transformer and can be integrated
into a pipeline normally. It can be used widely in many use cases like
conditional conversion(if...else...), , type conversion, to/from Array, to/from
Vector and many string ops..
was:
Just to share some code I implemented to help easily create a custom
Transformer in one line of code w.
{code} val labelConverter = new FuncTransformer((i: Double) => if (i >= 1) 1
else 0) {code}
This was used in many of my projects and is pretty helpful (Maybe I'm lazy..).
The transformer can be saved/loaded as other transformer and can be integrated
into a pipeline normally. It can be used widely in many use cases and you can
find some examples in the PR.
> Add FuncTransformer to simplify custom transformer creation
> ---
>
> Key: SPARK-20271
> URL: https://issues.apache.org/jira/browse/SPARK-20271
> Project: Spark
> Issue Type: New Feature
> Components: ML
>Affects Versions: 2.2.0
>Reporter: yuhao yang
>
> Just to share some code I implemented to help easily create a custom
> Transformer in one line of code w.
> {code} val labelConverter = new FuncTransformer((i: Double) => if (i >= 1) 1
> else 0) {code}
> This was used in many of my projects and is pretty helpful (Maybe I'm
> lazy..). The transformer can be saved/loaded as other transformer and can be
> integrated into a pipeline normally. It can be used widely in many use cases
> like conditional conversion(if...else...), , type conversion, to/from Array,
> to/from Vector and many string ops..
--
This message was sent by Atlassian JIRA
(v6.3.15#6346)
-
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
