turtle.onkey(fun, key) turtle.onkeyrelease(fun, key)

Laguerre.degree()

numpy.polynomial.hermite.hermvander(x, deg)

class sklearn.model_selection.LeaveOneOut

statsmodels.genmod.families.links.nbinom class statsmodels.genmod

encode(splitchars=';, \t', maxlinelen=None, linesep='\n') Encode a message header into an RFC-compliant format, possibly wrapping

statsmodels.discrete.discrete_model.ProbitResults.bse

statsmodels.genmod.generalized_linear_model.GLMResults.load

apps.get_app_configs() Returns an iterable of AppConfig instances.

Learning the parameters of a prediction function and testing it on the same data is a methodological mistake: a model that would just repeat