Package index
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bnns() - Generic Function for Fitting Bayesian Neural Network Models
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bnns(<default>) - Bayesian Neural Network Model Using Formula(default) Interface
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L()warmup()chains()iter()nodes()act_fn() - Parameter functions for Bayesian Neural Networks
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load_bnns() - Load a fitted bnns model from disk
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loo(<bnns>) - Leave-One-Out Cross-Validation (LOO) for bnns models
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measure_bin() - Measure Performance for Binary Classification Models
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measure_cat() - Measure Performance for Multi-Class Classification Models
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measure_cont() - Measure Performance for Continuous Response Models
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opencl_diagnostics() - OpenCL Diagnostic Information
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plot(<bnns>) - Plot diagnostics for a fitted Bayesian Neural Network
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predict(<bnns>) - Predictions from a fitted Bayesian Neural Network
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print(<bnns>) - Print Method for
"bnns"Objects -
relu() - relu transformation
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save_bnns() - Save a fitted bnns model to disk
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sigmoid() - sigmoid transformation
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softmax_3d() - Apply Softmax Function to a 3D Array
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softplus() - softplus transformation
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summary(<bnns>) - Summary of a Bayesian Neural Network (BNN) Model
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waic(<bnns>) - Watanabe-Akaike Information Criterion (WAIC) for bnns models