augment {quollr} | R Documentation |
Augment Data with Predictions and Error Metrics
Description
This function augments a dataset with predictions and error metrics obtained from a nonlinear dimension reduction (NLDR) model.
Usage
augment(highd_data, model_2d, model_highd)
Arguments
highd_data |
The dataset containing high-dimensional coordinates and an unique identifier. |
model_2d |
Centroid coordinates of hexagonal bins in 2-D space. |
model_highd |
Centroid coordinates of hexagonal bins in high dimensions. |
Value
A tibble containing the augmented data with predictions, error metrics, and absolute error metrics.
Examples
augment(highd_data = scurve, model_highd = scurve_model_obj$model_highd,
model_2d = scurve_model_obj$model_2d)
[Package quollr version 0.3.7 Index]