tigerforecast.experiments.run_experiments¶
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tigerforecast.experiments.
run_experiments
(problem, method, metric='mse', lr_tuning=True, n_runs=1, timesteps=None, verbose=0)[source]¶ Description: Initializes the experiment instance.
Parameters: - problem (tuple) – problem id and parameters to initialize the specific problem instance with
- method (tuple) – method id and parameters to initialize the specific method instance with
- metric (string) – metric we are interesting in computing for current experiment
- key (int) – for reproducibility
- timesteps (int) – number of time steps to run experiment for
Returns: loss series for the specified metric over the entirety of the experiment time (float): time elapsed memory (float): memory used
Return type: loss (list)