sits_deep_learning: Train SITS classifiction models with deep learning

In luizassis/sits: Satellite Image Time Series Analysis

Description

Use deep learning algorithm to classify data. This function is a front-end to the "deeplearning" method in the "randomForest" package. Please refer to the documentation in that package for more details.

Usage

sits_deep_learning(distances.tb = NULL, ...)

Arguments

distances.tb	a time series with a set of distance measures for each training sample
...	other parameters to be passed to 'h2o::h2o.deeplearning' 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.