Linear Scaling Multiclass Classification Model¶

class caliber.multiclass_classification.minimizing.linear_scaling.calibration.brier_linear_scaling.BrierLinearScalingMulticlassClassificationModel(minimize_options=None, has_intercept=True, has_shared_intercept=False, has_cross_slopes=True, has_shared_slope=False)[source]¶

fit(probs, targets)¶

Return type:: dict

predict(probs)¶

Return type:: ndarray

predict_proba(probs)¶

Return type:: ndarray

class caliber.multiclass_classification.minimizing.linear_scaling.calibration.cross_entropy_linear_scaling.CrossEntropyLinearScalingMulticlassClassificationModel(minimize_options=None, has_intercept=True, has_shared_intercept=False, has_cross_slopes=True, has_shared_slope=False)[source]¶

fit(probs, targets)¶

Return type:: dict

predict(probs)¶

Return type:: ndarray

predict_proba(probs)¶

Return type:: ndarray

class caliber.multiclass_classification.minimizing.linear_scaling.calibration.focal_linear_scaling.FocalLinearScalingMulticlassClassificationModel(minimize_options=None, has_intercept=True, has_shared_intercept=False, has_cross_slopes=True, has_shared_slope=False, gamma=2.0)[source]¶

fit(probs, targets)¶

Return type:: dict

predict(probs)¶

Return type:: ndarray

predict_proba(probs)¶

Return type:: ndarray

class caliber.multiclass_classification.minimizing.linear_scaling.calibration.dirichlet.DirichletMulticlassClassificationModel(minimize_options=None)[source]¶

fit(probs, targets)¶

Return type:: dict

predict(probs)¶

Return type:: ndarray

predict_proba(probs)¶

Return type:: ndarray

class caliber.multiclass_classification.minimizing.linear_scaling.calibration.temp_scaling.TemperatureScalingMulticlassClassificationModel(minimize_options=None)[source]¶

fit(probs, targets)¶

Return type:: dict

predict(probs)¶

Return type:: ndarray

predict_proba(probs)¶

Return type:: ndarray