Man pages for ekstroem/SRCL
Synergistic Risk Contributions Learning

randomFunction used as part of other functions
rcppreluFunction used as part of other functions
rcpprelu_negFunction used as part of other functions
reluFunction used as part of other functions
SRCL_0_synthetic_dataSRCL synthetic data
SRCL_1_initiate_neural_networkInitiates a monotonistc neural network
SRCL_2_train_neural_networkTraining the monotonistic neural network
SRCL_2_train_neural_network_with_confounderTraining the monotonistic neural network with a confounder...
SRCL_3_plot_neural_networkPlotting the monotonistic neural network
SRCL_4_predict_risksPredict the risk of the outcome using the fitted monotonistic...
SRCL_5_layerwise_relevance_propagationLayer-wise relevance propagation of the fitted monotonistic...
SRCL_6_individual_effects_matrixRisk contribution matrix based on individual effects (had all...
SRCL_6_sum_of_individual_effectsPredict the risk based on the sum of individual effects
SRCL_cpp_train_network_reluFunction used as part of other functions
SRCL_cpp_train_network_relu_with_confounderFunction used as part of other functions
ekstroem/SRCL documentation built on Sept. 5, 2020, 8:59 p.m.