sits_mlr: Train SITS classifiction models

In luizassis/sits: Satellite Image Time Series Analysis

Description

Use multinomial log-linear (mlr) fitting model via neural networks to classify data. This function is a front-end to the "multinom" method in the "nnet" package. Please refer to the documentation in that package for more details.

Usage

sits_mlr(distances.tb = NULL, formula = sits_formula_logref(), ...)

Arguments

distances.tb	a time series with a set of distance measures for each training sample
formula	a symbolic description of the model to be fit. SITS offers a set of such formulas (default: sits_formula_logref)
...	other parameters to be passed to nnet::multinom function

Value

result either an model function to be passed in sits_predict or an function prepared that can be called further to compute multinom training model

Author(s)

Alexandre Xavier Ywata de Carvalho, [e-mail]

Rolf Simoes, [e-mail]

luizassis/sits documentation built on May 30, 2019, 7:15 p.m.