Index

G | I | K | M | N | P | S | T | V

G

grid() (in module validpy.ANN.src.experimentKcross)
(in module validpy.SVM.src.experimentKcross)

I

initialize_connection() (in module validpy.ANN.src.NeuralNetwork)
initialize_layer() (in module validpy.ANN.src.NeuralNetwork)

K

k_cross_experiment() (in module validpy.ANN.src.experimentKcross)
(in module validpy.SVM.src.experimentKcross)
k_train() (in module validpy.ANN.src.experimentKcross)
(in module validpy.SVM.src.experimentKcross)

M

main() (in module validpy.ANN.src.experimentKcross)
(in module validpy.ANN_vs_SVM.src.experimentKcross)
(in module validpy.SVM.src.experimentKcross)
(in module validpy.predict.predict)
(in module validpy.predict.train_svm)
(in module validpy.test.ann)
(in module validpy.test.svm)

N

NeuralNetwork (class in validpy.ANN.src.NeuralNetwork)

P

plot_epochs() (validpy.ANN.src.BackPropTrainer.Trainer method)

S

split_data_set_file() (in module validpy.ANN.src.experimentKcross)
(in module validpy.SVM.src.experimentKcross)

T

train() (validpy.ANN.src.BackPropTrainer.Trainer method)
Trainer (class in validpy.ANN.src.BackPropTrainer)

V

valid() (validpy.ANN.src.NeuralNetwork.NeuralNetwork method)
validate() (in module validpy.SVM.src.experimentKcross)
validates() (in module validpy.ANN.src.experimentKcross)
validpy (module)
validpy.ANN (module)
validpy.ANN.src (module)
validpy.ANN.src.BackPropTrainer (module)
validpy.ANN.src.experimentKcross (module)
validpy.ANN.src.NeuralNetwork (module)
validpy.ANN_vs_SVM (module)
validpy.ANN_vs_SVM.src (module)
validpy.ANN_vs_SVM.src.experimentKcross (module)
validpy.predict (module)
validpy.predict.predict (module)
validpy.predict.train_svm (module)
validpy.SVM (module)
validpy.SVM.src (module)
validpy.SVM.src.experimentKcross (module)
validpy.test (module)
validpy.test.ann (module)
validpy.test.svm (module)