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https://issues.apache.org/jira/browse/SPARK-5890?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joseph K. Bradley updated SPARK-5890:
-------------------------------------
Description:
A `QuantileDiscretizer` takes a column with continuous features and outputs a
column with binned categorical features.
{code}
val fd = new QuantileDiscretizer()
.setInputCol("age")
.setNumBins(32)
.setOutputCol("ageBins")
{code}
This should an automatic feature discretizer, which uses a simple algorithm
like approximate quantiles to discretize features. It should set the ML
attribute correctly in the output column.
was:
A `FeatureDiscretizer` takes a column with continuous features and outputs a
column with binned categorical features.
{code}
val fd = new FeatureDiscretizer()
.setInputCol("age")
.setNumBins(32)
.setOutputCol("ageBins")
{code}
This should an automatic feature discretizer, which uses a simple algorithm
like approximate quantiles to discretize features. It should set the ML
attribute correctly in the output column.
> Add QuantileDiscretizer
> -----------------------
>
> Key: SPARK-5890
> URL: https://issues.apache.org/jira/browse/SPARK-5890
> Project: Spark
> Issue Type: Sub-task
> Components: ML
> Reporter: Xiangrui Meng
> Assignee: Xusen Yin
>
> A `QuantileDiscretizer` takes a column with continuous features and outputs a
> column with binned categorical features.
> {code}
> val fd = new QuantileDiscretizer()
> .setInputCol("age")
> .setNumBins(32)
> .setOutputCol("ageBins")
> {code}
> This should an automatic feature discretizer, which uses a simple algorithm
> like approximate quantiles to discretize features. It should set the ML
> attribute correctly in the output column.
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