glmdisc.Glmdisc.discretize_dummy

Glmdisc.discretize_dummy(predictors_cont, predictors_qual)

Discretizes new continuous and categorical features using a previously fitted glmdisc object as Dummy Variables usable with the best_reglog object.

Parameters

• predictors_cont (numpy.array) – Continuous predictors to be discretized in a numpy “numeric” array. Can be provided either here or with the __init__ method.

• predictors_qual (numpy.array) – Categorical features which levels are to be merged (also in a numpy “string” array). Can be provided either here or with the __init__ method.

Returns

array of discretized features as dummy variables

Return type

numpy.array