Normalizer¶
Normalizer is a Transformer which transforms a dataset of Vector rows, normalizing each Vector to have unit norm.
Input¶
It takes in a DataFrame and transforms it to another DataFrame
Output¶
It adds a new column containing the normalized value of the input column, to the incoming DataFrame.
Type¶
ml-transformer
Class¶
fire.nodes.ml.NodeNormalizer
Fields¶
| Name | Title | Description |
|---|---|---|
| inputCol | Input Column | The input column name |
| outputCol | Output Column | The output column name |
| p | P | Normalization in L^p space. Must be >= 1. (default: p = 2) |
Details¶
Normalizer is a Transformer which transforms a dataset of Vector rows, normalizing each Vector to have unit norm.
More at Spark MLlib/ML docs page : http://spark.apache.org/docs/latest/ml-features.html#normalizer