to make predictions with a fitted ordinary least squares and ridge

Functions
void	ML::GLM::gemmPredict (const raft::handle_t &handle, const float *input, size_t n_rows, size_t n_cols, const float *coef, float intercept, float *preds)
void	ML::GLM::gemmPredict (const raft::handle_t &handle, const double *input, size_t n_rows, size_t n_cols, const double *coef, double intercept, double *preds)

Detailed Description

regression model

Parameters

input	device pointer to feature matrix n_rows x n_cols
n_rows	number of rows of the feature matrix
n_cols	number of columns of the feature matrix
coef	weights of the model
intercept	bias term of the model
preds	device pointer to store predictions of size n_rows

Function Documentation

gemmPredict() [1/2]

void ML::GLM::gemmPredict	(	const raft::handle_t &	handle,
		const double *	input,
		size_t	n_rows,
		size_t	n_cols,
		const double *	coef,
		double	intercept,
		double *	preds
	)

gemmPredict() [2/2]

void ML::GLM::gemmPredict	(	const raft::handle_t &	handle,
		const float *	input,
		size_t	n_rows,
		size_t	n_cols,
		const float *	coef,
		float	intercept,
		float *	preds
	)