Package index • rvflnet

All functions
`best_lambda()`	Extract best lambda from CV object
`coef(<cv.rvflnet>)`	Extract coefficients from cross-validated RVFLNet model
`coef(<rvflnet>)`	Extract coefficients from RVFLNet model
`cv.rvflnet()`	Cross-validated RVFLNet model
`.apply_scaling()`	Apply scaling to new data
`.compute_scaling()`	Compute scaling parameters from data
`.generate_random_weights()`	Generate random weights for RVFL
`.prepare_rvfl_data()`	Prepare RVFL design matrix
`.rvfl_features()`	Generate RVFL random features
`fitted(<cv.rvflnet>)`	Extract fitted values from cross-validated RVFLNet model
`fitted(<rvflnet>)`	Extract fitted values from RVFLNet model
`get_activation()`	Extract activation function
`get_weight_type()`	Extract weight type
`is.cv.rvflnet()`	Check if object is a CV-RVFLNet model
`is.rvflnet()`	Check if object is an RVFLNet model
`n_hidden()`	Extract number of hidden units
`plot(<cv.rvflnet>)`	Plot CV curve for RVFLNet
`plot(<rvflnet>)`	Plot RVFLNet model
`predict(<cv.rvflnet>)`	Predict method for cross-validated RVFLNet
`predict(<rvflnet>)`	Predict method for RVFLNet
`print(<cv.rvflnet>)`	Print cross-validated RVFLNet model
`print(<rvflnet>)`	Print RVFLNet model
`residuals(<cv.rvflnet>)`	Residuals method for cross-validated RVFLNet
`residuals(<rvflnet>)`	Residuals method for RVFLNet
`rvflnet()`	Random Vector Functional Link Network (glmnet backend)
`summary(<cv.rvflnet>)`	Summary method for cross-validated RVFLNet
`summary(<rvflnet>)`	Summary method for RVFLNet

Reference