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This class represents an IQ model including IQ features and PBMs, along with necessary model parameters.

Slots

iq_features

A list of IQFeature objects.

pbms

A list of PBM objects.

intercept

The intercept term from the model.

func

The function used for computing energies (e.g., "logSumExp" or "max").

lambda

The regularization parameter.

alpha

The elastic net mixing parameter.

min_pred

Minimum value of training predictions before normalization.

max_pred

Maximum value of training predictions before normalization.

norm_factors

Normalization factors for scaling predictions.