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Among the different families of engines and algorithms in the package, one that we particularly miss at the moment are conventional and/or deep neural networks. Range of packages in R (usually calling python) available that can handle these types of models (e.g. keras or tensorflow).
Add engine_keras as new engine
Ensure that all possible data types and options (add_offset(), add_priors(), etc) are supported
Add some documentation to the package.
Add a unit testing.
The text was updated successfully, but these errors were encountered:
Rather than manually implementing keras or tensorflow coupling, there seems to be now an option to use the maturing cito package for CNNs instead (link).
Among the different families of engines and algorithms in the package, one that we particularly miss at the moment are conventional and/or deep neural networks. Range of packages in R (usually calling python) available that can handle these types of models (e.g.
keras
ortensorflow
).engine_keras
as new engineadd_offset()
,add_priors()
, etc) are supportedThe text was updated successfully, but these errors were encountered: