AUTO_VI$boot_vss {autovi} | R Documentation |
Predict visual signal strength for bootstrapped residual plots
Description
This function bootstrap the data and refits the model, then predicts the visual signal strength of the bootstrapped residual plots.
Usage
AUTO_VI$boot_vss( draws = 100L, fitted_model = self$fitted_model, keras_model = self$keras_model, data = self$get_data(), node_index = 1L, keep_boot_data = FALSE, keep_boot_plot = FALSE, extract_feature_from_layer = NULL )
Arguments
draws |
Integer. Number of simulation draws. |
fitted_model |
Model. A model object, e.g. |
keras_model |
Keras model. A trained computer vision model. |
data |
Data frame. The data used to fit the model.
See also |
node_index |
Integer. An index indicating which node of the output layer contains the visual signal strength. This is particularly useful when the keras model has more than one output nodes. |
keep_boot_data |
Boolean. Whether to keep the bootstrapped data. |
keep_boot_plot |
Boolean. Whether to keep the bootstrapped plots. |
extract_feature_from_layer |
Character/Integer. A layer name or an integer layer index for extracting features from a layer. |
Value
A tibble.
Examples
keras_model <- try(get_keras_model("vss_phn_32"))
if (!inherits(keras_model, "try-error")) {
myvi <- auto_vi(lm(dist ~ speed, data = cars), keras_model)
myvi$boot_vss()
}
[Package autovi version 0.4.0 Index]