its.ml.create_predict: massits features functions
In rolfsimoes/massits: Massive Satellite Image Time Series

Description Usage Arguments Value Author(s)

This function returns a predict function to be applied on data to be classified. Besides the prediction, this function can return a information regarding the classification quality. The returned information, defined in summation parameter can be "probabilities", the reliability of each reference label; "entropy", the Shanon entropy given by e = -sum(p * log p); "rentropy", the relative Shanon entropy, given by re = e / (log k); and "none", nothing is returned.

1 2	its.ml.create_predict(f, ml_model = its.ml.model.svm_radial(), summation = c("probabilities", "entropy", "rentropy", "none"))

`f`	A massits features tibble to compose the formula expression.
`ml_model`	A valid machine learning model function
`summation`	String value indicating a summation regarding the prediction