Bayesian estimators

Functions
uint32_t	arm_gaussian_naive_bayes_predict_f32 (const arm_gaussian_naive_bayes_instance_f32 *S, const float32_t *in, float32_t *pBuffer)
	Naive Gaussian Bayesian Estimator. More...

Description

Implement the naive gaussian Bayes estimator. The training must be done from scikit-learn.

The parameters can be easily generated from the scikit-learn object. Some examples are given in DSP/Testing/PatternGeneration/Bayes.py

Function Documentation

uint32_t arm_gaussian_naive_bayes_predict_f32	(	const arm_gaussian_naive_bayes_instance_f32 *	S,
		const float32_t *	in,
		float32_t *	pBuffer
	)

Parameters

[in]	*S	points to a naive bayes instance structure
[in]	*in	points to the elements of the input vector.
[in]	*pBuffer	points to a buffer of length numberOfClasses

Returns

The predicted class Naive Gaussian Bayesian Estimator

Parameters

[in]	*S	points to a naive bayes instance structure
[in]	*in	points to the elements of the input vector.
[in]	*pBuffer	points to a buffer of length numberOfClasses

Returns

The predicted class