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reservoirnet
View on CRAN: Click
here
Download and install reservoirnet package within the R console
Install from CRAN:
install.packages("reservoirnet")
Install from Github:
library("remotes")
install_github("cran/reservoirnet")
Install by package version:
library("remotes")
install_version("reservoirnet", "0.2.0")
Attach the package and use:
library("reservoirnet")
Maintained by
Thomas Ferte
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-04-04
Latest Update: 2023-04-04
Description:
A simple user-friendly library based on the 'python' module 'reservoirpy'.
It provides a flexible interface to implement efficient Reservoir
Computing (RC) architectures with a particular focus on Echo State Networks
(ESN). Some of its features are: offline and online training, parallel implementation,
sparse matrix computation, fast spectral initialization, advanced learning
rules (e.g. Intrinsic Plasticity) etc. It also makes possible to easily create
complex architectures with multiple reservoirs (e.g. deep reservoirs), readouts,
and complex feedback loops. Moreover, graphical tools are included to easily
explore hyperparameters. Finally, it includes several tutorials exploring
time series forecasting, classification and hyperparameter tuning. For more information
about 'reservoirpy', please see Trouvain et al. (2020) .
This package was developed in the framework of the University of Bordeaux
How to cite:
Thomas Ferte (2023). reservoirnet: Reservoir Computing and Echo State Networks. R package version 0.2.0, https://cran.r-project.org/web/packages/reservoirnet. Accessed 05 Jan. 2025.
Previous versions and publish date:
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Complete documentation for reservoirnet
Functions, R codes and Examples using
the reservoirnet R package
Some associated functions: chevron . createNode . dfCovid . generate_data . install_reservoirpy . link . plot.reservoir_predict_seq . plot_2x2_perf . plot_marginal_perf . plot_perf_22 . predict_seq . print.summary.reservoirR_fit . random_search_hyperparam . reservoirR_fit . rloguniform . summary.reservoirR_fit . summary.reservoir_predict_seq .
Some associated R codes: class_methods_reservoir_predict_seq.R . data_examples.R . install.R . plot_2x2_perf.R . plot_marginal_perf.R . plot_perf_22.R . random_search_hyperparam.R . reservoir.R . rloguniform.R . summary_fit.R . zzz.R . Full reservoirnet package functions and examples
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