QuantileDiscretizer¶
QuantileDiscretizer takes a column with continuous features and outputs a column with binned categorical features.
Input¶
It takes in a DataFrame and transforms it to another DataFrame
Output¶
The output DataFrame contains a new column of binned categorical features.
Type¶
ml-transformer
Class¶
fire.nodes.ml.NodeQuantileDiscretizer
Fields¶
| Name | Title | Description |
|---|---|---|
| inputCol | Input Column | The Input column name |
| outputCol | Output Column | Output column name |
| numBuckets | NumBuckets | Maximum number of buckets (quantiles or categories) into which the data points are grouped. Must be >= 2. |
Details¶
QuantileDiscretizer takes a column with continuous features and outputs a column with binned categorical features.
More at Spark MLlib/ML docs page : http://spark.apache.org/docs/latest/ml-features.html#quantilediscretizer