sits (version 1.5.0)

sits_pred_sample: Obtain a fraction of the predictors data frame

Description

Many machine learning algorithms (especially deep learning) use part of the original samples as test data to adjust its hyperparameters and to find an optimal point of convergence using gradient descent. This function extracts a fraction of the predictors to serve as test values for the deep learning algorithm.

Usage

sits_pred_sample(pred, frac)

Value

A data.frame with the chosen fraction of the X-Y predictors.

Arguments

pred

X-Y predictors: a data.frame with one row per sample.

frac

Fraction of the X-Y predictors to be extracted

Author

Gilberto Camara,

Examples

if (sits_run_examples()) {
    pred <- sits_predictors(samples_modis_ndvi)
    pred_frac <- sits_pred_sample(pred, frac = 0.5)
}