Rm.run¶

simrun.modular_reduced_model_inference.reduced_model.Rm.run(client=None, n_workers=None, strategy_selection=None)¶

Run one or more strategies on the data.

A strategy is a pipeline that:

1. Extracts data from the reduced model

2. Splits the data into training and test sets

3. Constructs a cost function to be optimized.

4. Solves the optimization problem using a _Solver

Each strategy implements different cost functions, depending on what to optimize for. However, they all implement a get_score() method to evaluate the performance of the optimization.

Parameters:¶

client : Client¶

Dask client for remote optimization

n_workers : int¶

Amount of workers to use for remote optimization

strategy_selection : list¶

List of strategy names to run. If None, run all strategies.

See also

simrun.modular_reduced_model_inference.strategy for available strategies.