LinearL1CD
- class lightautoml.ml_algo.linear_sklearn.LinearL1CD(default_params=None, freeze_defaults=True, timer=None, optimization_search_space={})[source]
Bases:
lightautoml.ml_algo.base.TabularMLAlgoCoordinate descent based on sklearn implementation.
- init_params_on_input(train_valid_iterator)[source]
Get model parameters depending on dataset parameters.
- Parameters
train_valid_iterator (
TrainValidIterator) – Classic cv-iterator.- Return type
- Returns
Parameters of model.
- fit_predict_single_fold(train, valid)[source]
Train on train dataset and predict on holdout dataset.
- Parameters
train (
Union[NumpyDataset,PandasDataset]) – Train Dataset.valid (
Union[NumpyDataset,PandasDataset]) – Validation Dataset.
- Return type
Tuple[Union[LogisticRegression,ElasticNet,Lasso],ndarray]- Returns
Target predictions for valid dataset.
- predict_single_fold(model, dataset)[source]
Implements prediction on single fold.
- Parameters
model (
Union[LogisticRegression,ElasticNet,Lasso]) – Model uses to predict.dataset (
Union[NumpyDataset,PandasDataset]) – Dataset used for prediction.
- Return type
- Returns
Predictions for input dataset.