ml_grid.util.grid_param_space

Defines the Grid class for creating a hyperparameter search space.

Classes

Grid	Initializes the Grid object.

Module Contents

class ml_grid.util.grid_param_space.Grid(sample_n: int | None = 1000)

Initializes the Grid object.

This class creates a comprehensive grid of settings by taking the Cartesian product of all specified hyperparameters. It then randomly samples a specified number of these settings to create a manageable list for experimentation.

Parameters:

sample_n (Optional[int], optional) – The number of random settings to sample from the full grid. Defaults to 1000.

global_params

verbose = 0

grid

settings_list

settings_list_iterator