nimble.learnerType

nimble.learnerType(learnerNames)

Attempt to determine learner types.

Returns the string or list of strings representation of a best guess for the type of learner(s) specified by the learner name(s) in learnerNames. learnerType first queries the appropriate interface object for a definitive return value. If the interface doesn’t provide a satisfactory answer, then this method calls a backend which generates a series of artificial data sets with particular traits to look for heuristic evidence of a classifier, regressor, etc.

Parameters:

learnerNames (str, list) – A string or a list of strings in the format ‘package.learner’.

Returns:

str, list – string for a single learner or a list for multiple learners.

See also

train, normalizeData, fillMatching

Keywords: classifier, regressor, regression, classification, clustering, machine learning, predictor, model