'Is possible to build a MLP model with the tidymodels framework?
According to documentation, there are three engines for fitting MLP models in tidymodels, but all of them (as I understand) can define only one hidden layer. Am I missing some engine, incorporated in the tidymodels ecosystem, that makes available multi (hidden) layer feed forward networks? In sklearn.neural_network fashion.
Solution 1:[1]
Yes, there is the keras package, from RStudio, to call the Python library from R.
Check this ressource, and it is designed to work well with the tidymodels framework, as extensively used in SMLTAR book.
Sources
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Source: Stack Overflow
| Solution | Source |
|---|---|
| Solution 1 | abichat |