jaclearn.models.naive_bayes.hybrid_nb#

Classes

`HybridNB`
`NaiveBayesianDistribution`

Class HybridNB

class HybridNB[source]#

Bases: object

__init__(distributions, weights=None, **kwargs)[source]#

__new__(**kwargs)#

fit(xs, y, verbose=True)[source]#

predict(xs, verbose=True)[source]#

Class NaiveBayesianDistribution

class NaiveBayesianDistribution[source]#

Bases: JacEnum

__new__(value)#

classmethod assert_valid(value)#: Assert if the value is a valid choice.

classmethod choice_names()#: Returns the list of the name of all possible choices.

classmethod choice_objs()#: Returns the list of the object of all possible choices.

classmethod choice_values()#: Returns the list of the value of all possible choices.

classmethod from_string(value)#

Parameters:: value (str | JacEnum)
Return type:: JacEnum

classmethod is_valid(value)#: Check if the value is a valid choice.

classmethod type_name()#: Return the type name of the enum.

BERNOULLI = 'bernoulli'#

GAUSSIAN = 'gaussian'#

MULTINOMIAL = 'multinomial'#