UnionTransformer
- class lightautoml.transformers.base.UnionTransformer(transformer_list, n_jobs=1)[source]
Bases:
lightautoml.transformers.base.LAMLTransformerTransformer that apply the sequence on transformers in parallel on dataset and concatenate the result.
- __init__(transformer_list, n_jobs=1)[source]
- Parameters
transformer_list (
Sequence[LAMLTransformer]) – Sequence of transformers.n_jobs (
int) – Number of processes to run fit and transform.
- fit(dataset)[source]
Fit transformers in parallel.
Output names - concatenation of features names with no prefix.
- Parameters
dataset (
LAMLDataset) – Dataset to fit on.- Return type
- Returns
self.
- fit_transform(dataset)[source]
- Fit and transform transformers in parallel.
Output names - concatenation of features names with no prefix.
- Parameters
dataset (
LAMLDataset) – Dataset to fit and transform on.- Return type
- Returns
Dataset with new features.
- transform(dataset)[source]
- Apply transformers in parallel.
Output names - concatenation of features names with no prefix.
- Parameters
dataset (
LAMLDataset) – Dataset to fit and transform on.- Return type
- Returns
Dataset with new features.