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Initial project setup
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.gitignore

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docs
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.Rproj.user
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.Rhistory
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.RData

DESCRIPTION

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Package: dpl
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Title: Deep learning engine for tidymodels
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Version: 0.0.0.1000
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Package: kerasnip
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Title: A Bridge Between Keras and Tidymodels
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Version: 0.0.0.9000
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Authors@R:
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person("David", "Díaz", , "daviddrsch@gmail.com", role = c("aut", "cre"))
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Description: Functions to integrate custom neurla networks with tidymodels
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workflows.
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Description: Provides a seamless bridge between 'keras' and the 'tidymodels'
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ecosystem. It allows for the dynamic creation of 'parsnip' model
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specifications for Keras models.
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License: MIT + file LICENSE
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Encoding: UTF-8
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Roxygen: list(markdown = TRUE)
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RoxygenNote: 7.3.2
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Imports:
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abind,
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parsnip (>= 1.0.0),
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rlang,
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keras3,
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tibble,
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purrr
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Suggests:
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testthat (>= 3.0.0)
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testthat (>= 3.0.0),
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modeldata
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tidymodels,
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tune,
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dials,
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workflows,
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recipes,
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rsample,
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knitr,
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rmarkdown
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VignetteBuilder: knitr
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Config/testthat/edition: 3

LICENSE.md

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# MIT License
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Copyright (c) 2024 dpl authors
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Copyright (c) 2025 kerasnip authors
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal

NAMESPACE

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# Generated by roxygen2: do not edit by hand
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export(example_function)
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export(create_keras_spec)
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export(generic_keras_fit_impl)
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export(keras_losses)
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export(keras_metrics)
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export(keras_optimizers)
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export(loss_function_keras)
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export(optimizer_function)
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export(register_keras_loss)
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export(register_keras_metric)
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export(register_keras_optimizer)
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export(remove_keras_spec)
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importFrom(parsnip,update_dot_check)
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importFrom(rlang,arg_match)
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importFrom(rlang,dots_list)
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importFrom(rlang,enquos)
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importFrom(rlang,env_poke)

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