MLwrap (version 0.3.0)

plot_graph_nn: Plot Neural Network Architecture

Description

Renders a directed acyclic graph representation of Neural Network architecture showing layer stacking order, layer-specific dimensions (neurons per layer), activation functions applied at each layer, and optimized hyperparameter values (learning rate, batch size, dropout rates, regularization coefficients) obtained from hyperparameter tuning procedures.

Usage

plot_graph_nn(analysis_object)

Value

analysis_object

Arguments

analysis_object

Fitted analysis_object with 'fine_tuning()'.

See Also

table_best_hyperparameters

Examples

# Note: For obtaining the Neural Network architecture graph plot the user
# needs to complete till the fine_tuning( ) function of the MLwrap pipeline.
# See the full pipeline example under table_best_hyperparameters()
# (Neural Network engine required)
# Final call signature:
# plot_graph_nn(wrap_object)