Man pages for dsnavega/grnnet
Generalized Regression Neural Network

adjusted_r_squaredAdjusted R Squared
compute_descriptorCompute Descriptor
evaluate_grnnetEvaluate _grnnet_ model
extrapolation_intervalExtrapolation Interval
grnnetGeneralized Regression Neural Network
kde_quantileQuantile Estimation using Kernel Density Estimation
kfold_crossvalidationK-Fold Cross-Validation
mean_absolute_errorMean Absolute Error (MAE)
normalizeNormalize Data
predict.grnnetPredict from a Generalized Regression Neural Network Object
prediction_biasRegression Prediction Bias
prediction_coveragePrediction Coverage
prediction_interval_widthPrediction Interval Mean Width
print.grnnetPrint method for Generalized Regression Neural Network
pw_euclidean_distancePairwise Squared Euclidean Distance
regression_prediction_analysisPrediction Analysis for Regression
root_mean_squared_errorRoot Mean Squared Error (RMSE)
r_squaredR Squared
squared_exponential_kernelSquared Exponential Kernel
weighted_meanWeighted Mean
weighted_r_squaredWeighted R Squared
weighted_sdWeighted Standard Deviation
dsnavega/grnnet documentation built on Oct. 5, 2018, 3:18 p.m.