glance: Generate evaluation metrics
In quollr: Visualising How Nonlinear Dimension Reduction Warps Your Data
glance R Documentation
Generate evaluation metrics
Description
This function generates an evaluation data frame based on the provided data and predictions.
Usage
glance(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 contains Error, and MSE values.
Examples
glance(highd_data = scurve, model_highd = scurve_model_obj$model_highd,
model_2d = scurve_model_obj$model_2d)
quollr documentation built on Aug. 8, 2025, 6:08 p.m.
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| glance | R Documentation |
Generate evaluation metrics
Description
This function generates an evaluation data frame based on the provided data and predictions.
Usage
glance(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 contains Error, and MSE values.
Examples
glance(highd_data = scurve, model_highd = scurve_model_obj$model_highd,
model_2d = scurve_model_obj$model_2d)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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