classifySeeds: Use a trained model to predict to classify a sample into...

In AleMorales/SeedSorter: Supervised classification of seeds from flow cytometry

Description

Use a trained model to predict to classify a sample into seeds or non-seed particles.

Usage

classifySeeds(model, data)

Arguments

model	A trained model as returned by the function trainAlgorithm().
data	A dataset with all the features required by the algorithm.

Value

Results of the prediction of class mlr::Prediction.

AleMorales/SeedSorter documentation built on Feb. 12, 2020, 4:13 a.m.