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ppforest2 v0.1.0
Projection Pursuit Decision Trees and Random Forests
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Classification simulation: group-shifted normals. More...
#include <Simulation.hpp>
Public Attributes | |
| types::Feature | mean = 100.0F |
| Base mean for the first group. | |
| types::Feature | mean_separation = 50.0F |
| Mean shift between successive groups. | |
| types::Feature | sd = 10.0F |
| Standard deviation within each group. | |
Classification simulation: group-shifted normals.
Each row's features are drawn from Normal(mean + g * mean_separation, sd) where g = i % G. The response is the group label.
| types::Feature ppforest2::stats::simulation::params::Classification::mean = 100.0F |
Base mean for the first group.
| types::Feature ppforest2::stats::simulation::params::Classification::mean_separation = 50.0F |
Mean shift between successive groups.
| types::Feature ppforest2::stats::simulation::params::Classification::sd = 10.0F |
Standard deviation within each group.