sits_formula_linear

<p>Index of the valid columns whose names are used to compose formula (default: NULL).</p>

predictors_index

<p>A function to be used as a symbolic description of some fitting models such as svm.
This function instructs the model to do a linear transformation of the input values.
The `predictors_index` parameter informs the positions of `tb` fields corresponding to formula independent variables.
If no value is given, the default is NULL, a value indicating that all fields will be used as predictors.</p>

A set of tools for working with satellite image time series.
Supports data retrieval from a WTSS (web time series service) and other data sets.
Provides different visualisation methods for image time series.
Provides smoothing methods for noisy time series.
Enables different clustering methods, including dendrograms and SOM.
Matches noiseless patterns with noisy time series using the TWDTW method for shape recognition.
Provide machine learning methods for time series classification, including SVM, LDA, QDA, GLM, Lasso, Random Forests and Deep Learning.

Pedro Andrade

sits

Satellite Image Time Series Analysis

Rolf Simoes

Gilberto Camara

Victor Maus

Alexandre Carvalho

Lorena Santos

Gilberto Queiroz

Alber Sanchez

Luiz Assis

Adeline Marinho

sits_formula_linear function

Define a linear formula for classification models — sits_formula_linear

Define a linear formula for classification models

sits_formula_linear: Define a linear formula for classification models

Description

Usage

Arguments

Value