.sits_split_data

data

ncores

<p>Machine learning model which is part of the object.</p>

ml_model

<p>This function splits a data.table into a list of chunks for multicore processing.</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_split_data function

Split a data.table or a matrix for multicore processing — .sits_split_data

Split a data.table or a matrix for multicore processing

.sits_split_data: Split a data.table or a matrix for multicore processing

Description

Usage

Arguments

Value