Gaussian Naive Bayes#
A version of the Naive Bayes classifier that places a probability density function over continuous input features. Aside from feature independence, Gaussian NB comes with the additional assumption that all features are normally (Gaussian) distributed.
Data Type Compatibility: Continuous
|1||priors||Auto||array||The user-defined class prior probabilities as an associative array with class labels as keys and the prior probabilities as values.|
Return the class prior probabilities:
public priors() : array
Return the running mean of each feature column for each class:
public means() : ?array
Return the running variance of each feature column for each class:
public variances() : ?array
use Rubix\ML\Classifiers\GaussianNB; $estimator = new GaussianNB([ 'benign' => 0.9, 'malignant' => 0.1, ]);
- T. F. Chan et al. (1979). Updating Formulae and a Pairwise Algorithm for Computing Sample Variances.