sigmoid: Sigmoid Functions for Machine Learning

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

AuthorBastiaan Quast [aut, cre]
Date of publication2016-08-14 15:28:53
MaintainerBastiaan Quast <bquast@gmail.com>
LicenseGPL-3
Version0.2.0

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Files

sigmoid
sigmoid/inst
sigmoid/inst/doc
sigmoid/inst/doc/sigmoid.R
sigmoid/inst/doc/sigmoid.html
sigmoid/inst/doc/sigmoid.Rmd
sigmoid/tests
sigmoid/tests/testthat.R
sigmoid/tests/testthat
sigmoid/tests/testthat/test_sigmoid.R
sigmoid/NAMESPACE
sigmoid/NEWS
sigmoid/R
sigmoid/R/sigmoid.R
sigmoid/vignettes
sigmoid/vignettes/sigmoid.Rmd
sigmoid/README.md
sigmoid/MD5
sigmoid/build
sigmoid/build/vignette.rds
sigmoid/DESCRIPTION
sigmoid/man
sigmoid/man/sigmoid.Rd sigmoid/man/SoftMax.Rd sigmoid/man/sigmoid_output_to_derivative.Rd sigmoid/man/Gompertz.Rd sigmoid/man/logistic.Rd sigmoid/man/logit.Rd sigmoid/man/tanh_output_to_derivative.Rd sigmoid/man/inverse_Gompertz.Rd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.