Source code for caliber.binary_classification.minimizing.linear_scaling.calibration.asce_linear_scaling
from typing import Optional
from caliber.binary_classification.metrics.asce import average_squared_calibration_error
from caliber.binary_classification.minimizing.linear_scaling.calibration.base import (
CalibrationLinearScalingBinaryClassificationModel,
)
from caliber.binary_classification.minimizing.linear_scaling.mixins.fit.brute_fit import (
LinearScalingBruteFitBinaryClassificationMixin,
)
[docs]
class ASCELinearScalingBinaryClassificationModel(
LinearScalingBruteFitBinaryClassificationMixin,
CalibrationLinearScalingBinaryClassificationModel,
):
def __init__(
self,
minimize_options: Optional[dict] = None,
lam: float = 0.01,
has_intercept: bool = True,
has_bivariate_slope: bool = False,
):
super().__init__(
loss_fn=average_squared_calibration_error,
minimize_options=minimize_options,
has_intercept=has_intercept,
has_bivariate_slope=has_bivariate_slope,
)
self._lam = lam