buildKnn
loads data from two Andromeda tables, and inserts them into a KNN classifier.
buildKnn(outcomes, covariates, indexFolder, overwrite = TRUE)
An Andromeda table containing the outcomes with predefined columns (see below).
An Andromeda table containing the covariates with predefined columns (see below).
Path to a local folder where the KNN classifier index can be stored.
Automatically overwrite if an index already exists?
Nothing
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 |