prepare_optimiser_parameters#
API documentation for tradeexecutor.backtest.optimiser.prepare_optimiser_parameters Python function.
- prepare_optimiser_parameters(param_class)[source]#
Optimised parameters must be expressed using scikit-optimise internals.
The parameters class must contain at least one parameter that is subclass of
SpaceUnlike in grid search, Space parameters are passed as is, and not preprocessed for the number of combinations, as we use iterator count to search through the search space
Assign a name to each dimension
- Parameters:
param_class (Type) – Parameters class in your notebook
- Return type:
- param warn_float:
Warn about unbounded float in the parameters, as it will hurt the performance, because we cannot cache results for arbitrary values.
- Returns:
Validated parameters.
- Parameters:
param_class (Type) –
- Return type: