DashAI.back.optimizers.HyperOptOptimizer
- class HyperOptOptimizer(n_trials=None, sampler=None)[source]
-
Methods
__init__([n_trials, sampler])contour_plot(trials)Contour plot between two hyperparameters and the goal metric achieved in the search space.
create_plots(trials, run_id, n_params)List of available plots.
get_model()Get the model with the best set of hyperparameters found
get_schema()Generates the component related Json Schema.
get_trials_values()Get the trial values from the hyperparameter optimization process
history_objective_plot(trials)Plot for the goal metric achieved per trial.
importance_plot(trials)Plot to obtain the importance between all the hyperparameters involved in hyperparameter optimization.
optimize(model, input_dataset, ...)Optimization process
search_space(hyperparams_data)Configure the search space.
slice_plot(trials)Plot that compares the performance in the search space of one hyperparameter.
validate_and_transform(raw_data)It takes the data given by the user to initialize the model and returns it with all the objects that the model needs to work.
Attributes
COMPATIBLE_COMPONENTSTYPE