Package: sigmoid 2.0.0

sigmoid: Sigmoid Functions for Machine Learning

Several different sigmoid functions are implemented, including a wrapper function, SoftMax preprocessing and inverse functions.

Authors:Bastiaan Quast [aut, cre]

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sigmoid.pdf |sigmoid.html
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NEWS

# Install 'sigmoid' in R:
install.packages('sigmoid', repos = c('https://bquast.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/bquast/sigmoid/issues

On CRAN:

12 exports 2 stars 1.60 score 2 dependencies 3 dependents 156 scripts 476 downloads

Last updated 10 months agofrom:52f91997a2. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 05 2024
R-4.5-winNOTESep 05 2024
R-4.5-linuxNOTESep 05 2024
R-4.4-winNOTESep 05 2024
R-4.4-macNOTESep 05 2024
R-4.3-winNOTESep 05 2024
R-4.3-macNOTESep 05 2024

Exports:Gompertzinverse_Gompertzleakyrelulogisticlogitrelusigmoidsigmoid_output_to_derivativeSoftMaxsoftplussoftplus_output_to_derivativetanh_output_to_derivative

Dependencies:attentiontransformer

sigmoid

Rendered fromsigmoid.Rmdusingknitr::rmarkdownon Sep 05 2024.

Last update: 2018-06-20
Started: 2016-05-16

Readme and manuals

Help Manual

Help pageTopics
GompertzGompertz
Inverse Gompertzinverse_Gompertz
Leaky Rectified Linear Unitleakyrelu
Standard Logisticlogistic
Logitlogit
Rectified Linear Unitrelu
ReLU Derivativerelu_output_to_derivative
Sigmoidsigmoid
Sigmoid Derivativesigmoid_output_to_derivative
SoftMaxSoftMax
SoftPlusSoftPlus softplus
SoftPlus Derivativesoftplus_output_to_derivative
Tanh Derivativetanh_output_to_derivative