Man pages for dsnavega/grnnet
Generalized Regression Neural Network
| adjusted_r_squared | Adjusted R Squared |
| compute_descriptor | Compute Descriptor |
| evaluate_grnnet | Evaluate _grnnet_ model |
| extrapolation_interval | Extrapolation Interval |
| grnnet | Generalized Regression Neural Network |
| kde_quantile | Quantile Estimation using Kernel Density Estimation |
| kfold_crossvalidation | K-Fold Cross-Validation |
| mean_absolute_error | Mean Absolute Error (MAE) |
| normalize | Normalize Data |
| predict.grnnet | Predict from a Generalized Regression Neural Network Object |
| prediction_bias | Regression Prediction Bias |
| prediction_coverage | Prediction Coverage |
| prediction_interval_width | Prediction Interval Mean Width |
| print.grnnet | Print method for Generalized Regression Neural Network |
| pw_euclidean_distance | Pairwise Squared Euclidean Distance |
| regression_prediction_analysis | Prediction Analysis for Regression |
| root_mean_squared_error | Root Mean Squared Error (RMSE) |
| r_squared | R Squared |
| squared_exponential_kernel | Squared Exponential Kernel |
| weighted_mean | Weighted Mean |
| weighted_r_squared | Weighted R Squared |
| weighted_sd | Weighted Standard Deviation |
