8.10.2. sklearn.grid_search.IterGrid¶
- class sklearn.grid_search.IterGrid(param_grid)¶
Generators on the combination of the various parameter lists given
Parameters : param_grid: dict of string to sequence :
The parameter grid to explore, as a dictionary mapping estimator parameters to sequences of allowed values.
Returns : params: dict of string to any :
Yields dictionaries mapping each estimator parameter to one of its allowed values.
Examples
>>> from sklearn.grid_search import IterGrid >>> param_grid = {'a':[1, 2], 'b':[True, False]} >>> list(IterGrid(param_grid)) [{'a': 1, 'b': True}, {'a': 1, 'b': False}, {'a': 2, 'b': True}, {'a': 2, 'b': False}]
- __init__(param_grid)¶