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NEWS.md

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* Added a convenience function, `brulee_mlp_two_layer()`, to more easily fit two-layer networks with parsnip.
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* Various changes and improvements to error and wanring messages.
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* Various changes and improvements to error and warning messages.
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# brulee 0.3.0
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R/mlp-fit.R

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#' Fit neural networks
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#'
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#' `brulee_mlp()` fits neural network models using stochastic gradient
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#' descent. Multiple layers can be used. For working with two-layer networks in
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#' tidymodels, `brulee_mlp_two_layer()` can be helpful for specifying tuning
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#' parameters as scalars.
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#' `brulee_mlp()` fits neural network models. Multiple layers can be used. For
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#' working with two-layer networks in tidymodels, `brulee_mlp_two_layer()` can
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#' be helpful for specifying tuning parameters as scalars.
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#'
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#' @param x Depending on the context:
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#'

man/brulee_mlp.Rd

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