Applies the Java Maxent logistic transform to grid predictions:
$$logistic = \frac{exp(H) \cdot raw}{1 + exp(H) \cdot raw}$$
Usage
maxent_project_logistic(model, env_grids, feature_names)
Arguments
- model
External pointer to a FeaturedSpace object.
- env_grids
List of external pointers to Grid<float> objects.
- feature_names
Character vector of environment variable names.
Value
External pointer to a Grid<float> with logistic scores in [0, 1].
Details
where \(H\) is the model entropy and \(raw\) is the
normalised probability. This matches the logistic output of Java
Maxent and dismo.