Man pages for AlexAfanasev/NeuralNetworkVisualization
Create Partial Dependence Plots for Neural Networks, Visualizes the marginal effects of Neural Networks
| add_bootstrap_data | Adds bootstrap data to the model that will be used for... |
| compute_bootstrap_ci | computes Bootstrap intervals. |
| compute_mean_prediction_categoric | Computes mean prediction for categoric response. |
| compute_mean_prediction_numeric | Computes mean prediction for numeric response |
| create_factor_specification | Returns the data with added factor columns, changed formula... |
| create_grid | Creates the grid used for predicting yhat. |
| create_plotting_data | Creates the plotting data. |
| descale_data | Descales data for neural_net |
| descale_grid | Descales selected predictor column and prediction value for... |
| example_nn_model | Returns example models by type of response |
| fit_neural_network | Fits neural network for either numerical or categorical... |
| fit_neural_network_categorical | Fits neural network for cateogircal dependent variable. |
| fit_neural_network_numeric | Fits neural network for numerical dependent variable. |
| get_independent | Returns the independent variables based on specification. |
| get_predictors | Returns the predictors for which to plot the partial... |
| get_type | Returns the type for the dependent variable (numerical or... |
| is_valid_nrepetitions | Checks for valid nrepetitions for the bootstrap confidence... |
| is_valid_probs | Checks for valid prediction interval probabilities. |
| is_valid_type | Checks for valid type of plot. |
| min_max | Returns the min and max of a data.frame. |
| NeuralNetwork | Create a NeuralNetwork for further visualization |
| NeuralNetworkVisualization | NeuralNetworkVisualization: Create Partial Dependence Plots... |
| plan_process | Function for enabling multiprocessing. |
| plot_multiple | Plots partial dependencies for multiple predictors. Default... |
| plot_multiple_categorical | Plots partial dependencies for given predictor with... |
| plot_multiple_numerical | Plots partial dependencies for given predictors with... |
| plot.NeuralNetwork | Plot method for neural network. |
| plot_partial_dependencies | Function for plotting the partial dependencies of the created... |
| plot_single | Plots partial dependencies for single given predictor. |
| plot_single_categorical | Plots partial dependencies for given predictor with... |
| plot_single_numerical | Plots partial dependencies for given predictor with numerical... |
| predict.NeuralNetwork | Predict method for neural network. |
| prepare_data | Prepares the data used for further plotting. |
| prepare_data_categoric | Prepares the data with categorical dependent variable. |
| prepare_data_numeric | Prepares the data with numerical dependent variable. |
| run_shiny_app | Run the shiny app. |
| scale_column | Returns the scaled column. |
| summary.NeuralNetwork | Summary method for neural network. |
