Package: gnn 0.0-4

gnn: Generative Neural Networks

Tools to set up, train, store, load, investigate and analyze generative neural networks. In particular, functionality for generative moment matching networks is provided.

Authors:Marius Hofert [aut, cre], Avinash Prasad [aut]

gnn_0.0-4.tar.gz
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gnn.pdf |gnn.html✨
gnn/json (API)

# Install 'gnn' in R:

install.packages('gnn', repos = c('https://mariushofert.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.15 score 14 scripts 215 downloads 23 exports 43 dependencies

Last updated 9 months agofrom:cd40a681af. Checks:OK: 5 NOTE: 2. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Oct 26 2024
R-4.5-win	NOTE	Oct 26 2024
R-4.5-linux	NOTE	Oct 26 2024
R-4.4-win	OK	Oct 26 2024
R-4.4-mac	OK	Oct 26 2024
R-4.3-win	OK	Oct 26 2024
R-4.3-mac	OK	Oct 26 2024

Exports:as.human as.keras catch CvM ffGNN find_box fitGNN fitGNNonce FNN human.time is.GNN is.trained load_gnn logis_trafo loss MMD PCA_trafo range_trafo rGNN rm_ext rPrior save_gnn TensorFlow_available

Dependencies:ADGofTest backports base64enc cli colorspace config copula generics glue gsl here jsonlite keras lattice lifecycle magrittr Matrix mvtnorm numDeriv pcaPP png processx ps pspline qrng R6 rappdirs Rcpp RcppTOML reticulate rlang rprojroot rstudioapi stabledist tensorflow tfautograph tfruns tidyselect vctrs whisker withr yaml zeallot

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Readme and manuals

Help Manual

Help page	Topics
Catching Results, Warnings and Errors Simultaneously	catch
Feedforward for Generative Neural Networks	ffGNN ffGNN.gnn_GNN
Box Numbers (Multivariate) Points Fall Into	find_box
Functions and Methods for Training of Generative Neural Networks	fitGNN fitGNN.gnn_GNN fitGNNonce fitGNNonce.gnn_GNN is.trained is.trained.gnn_GNN is.trained.list
Generative Moment Matching Network	FNN
Basic Functions and Methods	dim.gnn_GNN is.GNN is.GNN.gnn_GNN is.GNN.list print.gnn_GNN str.gnn_GNN summary.gnn_GNN
Loss Function	CvM loss MMD
Functions for Plotting	plot plot.gnn_GNN
Convert GNN model Slots to raw or keras Objects	as.keras as.keras.gnn_GNN as.raw.gnn_GNN
Sampling from a Generative Neural Network	rGNN rGNN.gnn_GNN
Remove a File Extension	rm_ext
Sampling from a Prior Distribution	rPrior
Save and Load .rda Files with Conversion to Raw and Keras Models	load_gnn save_gnn
A Simple Check whether TensorFlow is Available	TensorFlow_available
Human-Readable Time Measurement	as.human human.time print.gnn_proc_time time.gnn_GNN
Dimension-Reduction Transformations for Training or Sampling	PCA_trafo
Data Transformations for Training or Sampling	logis_trafo range_trafo

Package: gnn 0.0-4

gnn: Generative Neural Networks

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)