bucky.util.scoring

Provides various scoring metrics for probabilistic forecasts.

Module Contents

Functions

IS(x, lower, upper, alp)	Interval score.
WIS(x, q, x_q, norm=False, log=False, smooth=False)	Weighted Interval Score.
logistic(x, x0=0.0, k=1.0, L=1.0)	Logistic function.
smooth_IS(x, lower, upper, alp)	Approx Interval Score with smooth derivatives.

bucky.util.scoring.IS(x, lower, upper, alp)

Interval score.

Parameters

• x –

• lower –

• upper –

• alp –

Returns

Return type

numpy.ndarray or cupy.ndarray if using CuPy

bucky.util.scoring.WIS(x, q, x_q, norm=False, log=False, smooth=False)

Weighted Interval Score.

Parameters

• x –

• q –

• x_q –

• norm (bool, optional) –

• log (bool, optional) –

• smooth (bool, optional) –

Returns

Return type

numpy.ndarray or cupy.ndarray if using CuPy

bucky.util.scoring.logistic(x, x0=0.0, k=1.0, L=1.0)

Logistic function.

Parameters

• x –

• x0 –

• k –

• L –

Returns

Return type

numpy.ndarray or cupy.ndarray if using CuPy

bucky.util.scoring.smooth_IS(x, lower, upper, alp)

Approx Interval Score with smooth derivatives.

Parameters

• x –

• lower –

• upper –

• alp –

Returns

Return type

numpy.ndarray or cupy.ndarray if using CuPy

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