sits_save_keras

An R Keras model trained by <code><a rd-options="sits" href="/link/sits_deeplearning?package=sits&version=1.12.0&to=sits" data-mini-rdoc="sits::sits_deeplearning">sits_deeplearning</a></code>.

model

An hdf5 file where the keras model is to be saved.

hdffile

A rds file where the R environment is to be saved.

rdsfile

Takes a Keras model trained by <code><a rd-options="sits" href="/link/sits_deeplearning?package=sits&version=1.12.0&to=sits" data-mini-rdoc="sits::sits_deeplearning">sits_deeplearning</a></code> and saves it in two files.
One file is the keras model itself (saved as hdf5) and the other is the R enviroment required for sits
to work with the model.

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_save_keras function

An R Keras model trained by <code><a rd-options='sits' href='sits_deeplearning'>sits_deeplearning</a></code>.

Takes a Keras model trained by <code><a rd-options='sits' href='sits_deeplearning'>sits_deeplearning</a></code> and saves it in two files.
One file is the keras model itself (saved as hdf5) and the other is the R enviroment required for sits
to work with the model.

sits_save_keras: Save a Keras model for later processing in sits

Description

Usage

Arguments