parameter_grid¶

In [ ]:

parameter_grid(param_grid: dict,)

Generates the list of the different combinations of input parameters.

Parameters¶

Name	Type	Optional	Description
param_grid	dict	❌	Dictionary of parameters.

Returns¶

list of dict : List of the different combinations.

Example¶

In [10]:

from verticapy.learn.model_selection import parameter_grid
parameter_grid({"solver": ["Newton", "BFGS"],
                "tol": [1e-9, 1e-6, 1e-4],
                "max_iter": [10, 100, 1000],},)

Out[10]:

[{'max_iter': 10, 'solver': 'Newton', 'tol': 1e-09},
 {'max_iter': 100, 'solver': 'Newton', 'tol': 1e-09},
 {'max_iter': 1000, 'solver': 'Newton', 'tol': 1e-09},
 {'max_iter': 10, 'solver': 'Newton', 'tol': 1e-06},
 {'max_iter': 100, 'solver': 'Newton', 'tol': 1e-06},
 {'max_iter': 1000, 'solver': 'Newton', 'tol': 1e-06},
 {'max_iter': 10, 'solver': 'Newton', 'tol': 0.0001},
 {'max_iter': 100, 'solver': 'Newton', 'tol': 0.0001},
 {'max_iter': 1000, 'solver': 'Newton', 'tol': 0.0001},
 {'max_iter': 10, 'solver': 'BFGS', 'tol': 1e-09},
 {'max_iter': 100, 'solver': 'BFGS', 'tol': 1e-09},
 {'max_iter': 1000, 'solver': 'BFGS', 'tol': 1e-09},
 {'max_iter': 10, 'solver': 'BFGS', 'tol': 1e-06},
 {'max_iter': 100, 'solver': 'BFGS', 'tol': 1e-06},
 {'max_iter': 1000, 'solver': 'BFGS', 'tol': 1e-06},
 {'max_iter': 10, 'solver': 'BFGS', 'tol': 0.0001},
 {'max_iter': 100, 'solver': 'BFGS', 'tol': 0.0001},
 {'max_iter': 1000, 'solver': 'BFGS', 'tol': 0.0001}]