ElasticNet Model
- class qsar.models.elasticnet.ElasticnetModel(max_iter: int = 100000, random_state: int = 0, params=None)
Bases:
BaselineModel
A class used to represent an ElasticNet model, inheriting from the Model class. This class specifically deals with the ElasticNet Regressor from the sklearn library.
- optimize_hyperparameters(trial: Trial, df: DataFrame) float
Optimizes the hyperparameters of the ElasticNet Regressor model using a trial from Optuna.
- Parameters:
trial (optuna.Trial) – The trial instance for hyperparameter optimization.
df (pd.DataFrame) – The DataFrame used for training the model.
- Returns:
The cross-validation score of the model.
- Return type:
float