def validation(fold_cnt, data, k, distance_func):
accuracies = []
for fold in range(fold_cnt):
train, test = get_k_fold(fold_cnt, fold, data)
train_x, train_y = split(train)
test_x, test_y = split(test)
accuracy = calculate_accuracy(
kNN(train_x, train_y, test_x, k, distance_func), test_y)
accuracies.append(accuracy)
return accuracies
def train_and_test(learning_rate, epoch_cnt, tao, train, test, cls): train_features, train_answers = split(train) train_answers = answers_for_class(train_answers, cls) test_features, test_answers = split(test) test_answers = answers_for_class(test_answers, cls) feature_cnt = len(train_features[0]) model = Adagrad(learning_rate=learning_rate, epoch_cnt=epoch_cnt, tao=tao, n=feature_cnt) model.train(train_features, train_answers) model_answers = answer(model.predict(test_features)) accuracy = calculate_accuracy(model_answers, test_answers) return accuracy
import reader
import sys
try:
file = open('filename.txt')
inputfile = file.readline()
file.close()
except IOError as e:
print("No input file existing!")
inputfile = input("Name of inputfile: ")
file = open("filename.txt", "w")
file.write(inputfile)
list = reader.split(inputfile)
print(list[0])