dualbounds.dist_reg.MonotoneLogisticReg¶

class dualbounds.dist_reg.MonotoneLogisticReg(lmda: float = 0.001)[source]¶

A logistic regression solver which ensures that beta[0] >= 0. Useful for computing bounds which assume monotonicity.

Notes

This is meant to be used a the underlying model in a

BinaryDistReg object.

Methods

fit(X, y[, solver])	Fits the linear model using a cvxpy backend.
predict_proba(X)	Probability predictions for the response.