buildKnn: Build a K-nearest neighbor (KNN) classifier

In OHDSI/BigKnn: Large Scale K-Nearest Neighbor Classifier using the Lucene Search Engine

Build a K-nearest neighbor (KNN) classifier

Description

buildKnn loads data from two Andromeda tables, and inserts them into a KNN classifier.

Usage

buildKnn(outcomes, covariates, indexFolder, overwrite = TRUE)

Arguments

outcomes	An Andromeda table containing the outcomes with predefined columns (see below).
covariates	An Andromeda table containing the covariates with predefined columns (see below).
indexFolder	Path to a local folder where the KNN classifier index can be stored.
overwrite	Automatically overwrite if an index already exists?

Details

These columns are expected in the outcome object:

⁠rowId⁠	(integer)	Row ID is used to link multiple covariates (x) to a single outcome (y)
⁠y⁠	(real)	The outcome variable

These columns are expected in the covariates object:

⁠rowId⁠	(integer)	Row ID is used to link multiple covariates (x) to a single outcome (y)
⁠covariateId⁠	(integer)	A numeric identifier of a covariate
⁠covariateValue⁠	(real)	The value of the specified covariate

Value

Nothing

OHDSI/BigKnn documentation built on March 21, 2023, 8:35 a.m.