Model_type discriminative
method MF_PMC
number_of_training_samples 153
number_of_test_samples 152
number_of_classes 2
number_of_generated_samples 0
number_of_fantasy_particles 20
steps 100
number_of_modalities 5
number_of_hidden_layers 3
number_of_max_modspec_hidden_layers 2
batchwise_class_sample 10
endepoch 50
learning_rate 0.1
momentum 0.5
weight_decay 0.0002
architecture_file inputArch.txt
train_label_file ../input/KIDNEY/gt_training_TT_kidney.txt
test_label_file ../input/KIDNEY/gt_test_TT_kidney.txt
output_path ../output
starting_epoch 0
pretrain_epoch 25
