Package rdkit :: Package ML :: Package NaiveBayes :: Module CrossValidate

Module CrossValidate

handles doing cross validation with naive bayes models
and evaluation of individual models

Functions

[hide private]

makeNBClassificationModel(trainExamples, attrs, nPossibleValues, nQuantBounds, mEstimateVal=-1.0, useSigs=False, ensemble=None, useCMIM=0, **kwargs)

source code

CrossValidate(NBmodel, testExamples, appendExamples=0)

source code

CrossValidationDriver(examples, attrs, nPossibleValues, nQuantBounds, mEstimateVal=0.0, holdOutFrac=0.3, modelBuilder=<__builtin__.function object>, silent=0, calcTotalError=0, **kwargs)

source code

Variables

[hide private]

CMIM = None
hash(x)

__package__ = 'rdkit.ML.NaiveBayes'

Imports: NaiveBayesClassifier, SplitData