src/orion/analysis/lpi_utils.py
def _lpi(point, space, model, n_points):
    """Local parameter importance for each hyperparameters"""
    grid = make_grid(point, space, model, n_points)
    variances = compute_variances(grid)
    ratios = variances / variances.sum()
    return ratios
Local parameter importance for each hyperparameters
Local parameter importance for each hyperparameters
Local parameter importance for each hyperparameters
def _lpi(point, space, model, n_points):
    grid = make_grid(point, space, model, n_points)
    variances = compute_variances(grid)
    ratios = variances / variances.sum()
    return ratios
def _lpi ( point , space , model , n_points ) : grid = make_grid ( point , space , model , n_points ) variances = compute_variances ( grid ) ratios = variances / variances . sum ( ) return ratios
Local parameter importance for each hyperparameters
Local parameter importance for each hyperparameters
"""Local parameter importance for each hyperparameters"""
point
space
model
n_points