tigerforecast.experiments package¶
core¶
create_full_problem_to_methods(problems_ids, …) |
Description: Associate all given problems to all given methods. |
run_experiment(problem, method[, metric, …]) |
Description: Initializes the experiment instance. |
run_experiments(problem, method[, metric, …]) |
Description: Initializes the experiment instance. |
metrics¶
mse(y_pred, y_true) |
Description: mean-square-error loss |
cross_entropy(y_pred, y_true[, eps]) |
Description: cross entropy loss, y_pred is equivalent to logits and y_true to labels |
experiment¶
Experiment() |
Description: Streamlines the process of performing experiments and comparing results of methods across a range of problems. |
new_experiment¶
NewExperiment() |
Description: class for implementing algorithms with enforced modularity |
precomputed¶
recompute([verbose, load_bar]) |
Description: Recomputes all the results. |
load_prob_method_to_result([problem_ids, …]) |
Description: Initializes the experiment instance. |