from ReadClass import GetClass from NN import NN import os os.environ["CUDA_VISIBLE_DEVICES"] = "-1" class_reader = GetClass() filename = "Gene_Chip_Data/Gene_Chip_Data/microarray.original.txt" classifier = NN(class_reader, filename, train_proportion=0.7) (sess, accuracy, loss, input_data, label) = classifier.BuildGraph(30, 20, 15) classifier.Train(sess, accuracy, loss, input_data, label, batch_size=100, train_time=500, lr=1e-3) classifier.Test(sess, accuracy, loss, input_data, label, batch_size=100)
from ReadClass import GetClass from NN import NN import os os.environ["CUDA_VISIBLE_DEVICES"] = "-1" class_reader = GetClass() filename = "Gene_Chip_Data/Gene_Chip_Data/microarray.original.txt" classifier = NN(class_reader, filename, train_proportion=0.7) (sess, accuracy, loss, input_data, label) = classifier.BuildGraph(200, 50, 20) #classifier.Train(sess, accuracy, loss, input_data, label, batch_size=100, train_time=500, lr=1e-3) classifier.Test(sess, accuracy, loss, input_data, label, batch_size=100)