sits_model_export: Export classification models

In e-sensing/sits: Satellite Image Time Series Analysis for Earth Observation Data Cubes

Export classification models

Description

Given a trained machine learning or deep learning model, exports the model as an object for further exploration outside the sits package.

Usage

sits_model_export(ml_model)

## S3 method for class 'sits_model'
sits_model_export(ml_model)

Arguments

ml_model

A trained machine learning model

Value

An R object containing the model in the original format of machine learning or deep learning package.

Author(s)

Rolf Simoes, [e-mail]

Examples

if (sits_run_examples()) {
    # create a classification model
    rfor_model <- sits_train(samples_modis_ndvi, sits_rfor())
    # export the model
    rfor_object <- sits_model_export(rfor_model)
}

e-sensing/sits documentation built on Jan. 28, 2024, 6:05 a.m.