def task_2(data, target):
"""
#Historgrams
features = ['sepal length', 'sepal width', 'petal length', 'petal width']
iris.printHistograms(data, features)
"""
#-----------------Removing 1 feature------------
data = np.delete(data, 1, axis=1)
training_data, training_target, testing_data, testing_target = iris.allocate_data(
data, target)
print("Training with 3 features: ")
training_ratio1, confusion_training1, W1 = iris.assignment_1_trainingset(
training_data, training_target, 3)
print(training_ratio1)
print(confusion_training1)
print("Testing with 3 features:")
test_ratio1, confusion_test1 = iris.assignment_1_testingset(
W1, training_data, testing_data, testing_target, 3)
print(test_ratio1)
print(confusion_test1)
#------------------Removing 2 features-------------
data = np.delete(data, 0, axis=1)
training_data, training_target, testing_data, testing_target = iris.allocate_data(
data, target)
print("\n\nTraining with 2 features: ")
training_ratio2, confusion_training2, W2 = iris.assignment_1_trainingset(
training_data, training_target, 3)
print(training_ratio2)
print(confusion_training2)
print("Testing with 2 features:")
test_ratio2, confusion_test2 = iris.assignment_1_testingset(
W2, training_data, testing_data, testing_target, 3)
print(test_ratio2)
print(confusion_test2)
#---------------Removing 3 features------------------------------
data = np.delete(data, 0, axis=1)
training_data, training_target, testing_data, testing_target = iris.allocate_data(
data, target)
print("\n\nTraining with 1 feature: ")
training_ratio3, confusion_training3, W3 = iris.assignment_1_trainingset(
training_data, training_target, 3)
print(training_ratio3)
print(confusion_training3)
print("Testing with 1 feature:")
test_ratio3, confusion_test3 = iris.assignment_1_testingset(
W3, training_data, testing_data, testing_target, 3)
print(test_ratio3)
print(confusion_test3)
def task_1b():
training_data1 = data[20:50]
training_set_class2 = data[70:100]
training_data3 = data[120:150]
training_data = [training_data1, training_set_class2, training_data3]
training_target1 = target[20:50]
training_target2 = target[70:100]
training_target3 = target[120:150]
training_target = [training_target1, training_target2, training_target3]
testing_data1 = data[0:20]
testing_data2 = data[50:70]
testing_data3 = data[100:120]
testing_data = [testing_data1, testing_data2, testing_data3]
testing_target1 = target[0:20]
testing_target2 = target[50:70]
testing_target3 = target[100:120]
testing_target = [testing_target1, testing_target2, testing_target3]
#------------------Training-------------------
training_ratio, confusion_training, W = iris.assignment_1_trainingset(
training_data, training_target, 3)
print("Training:")
print(training_ratio)
print(confusion_training)
#-------------------Testing---------------------
test_ratio, confusion_test = iris.assignment_1_testingset(
W, training_data, testing_data, testing_target, 3)
print("Testing:")
print(test_ratio)
print(confusion_test)
def task_1a():
training_data1 = data[0:30]
training_data2 = data[50:80]
training_data3 = data[100:130]
training_data = [training_data1, training_data2, training_data3]
training_target1 = target[0:30]
training_target2 = target[50:80]
training_target3 = target[100:130]
training_target = [training_target1, training_target2, training_target3]
testing_data1 = data[30:50]
testing_data2 = data[80:100]
testing_data3 = data[130:150]
testing_data = [testing_data1, testing_data2, testing_data3]
testing_target1 = target[30:50]
testing_target2 = target[80:100]
testing_target3 = target[130:150]
testing_target = [testing_target1, testing_target2, testing_target3]
#------------------Training-------------------
training_ratio, confusion_training, W = iris.assignment_1_trainingset(
training_data, training_target, 3, n_iterations, alpha)
print("Training:")
print(training_ratio)
print(confusion_training)
#-------------------Testing---------------------
test_ratio, confusion_test = iris.assignment_1_testingset(
W, training_data, testing_data, testing_target, 3)
print("Testing:")
print(test_ratio)
print(confusion_test)
def task_1a():
training_data, training_target, testing_data, testing_target = iris.allocate_data(
data, target)
#------------------Training-------------------
training_ratio, confusion_training, W = iris.assignment_1_trainingset(
training_data, training_target, 3)
print("Training:")
print(training_ratio)
print(confusion_training)
print("W:", W)
#-------------------Testing---------------------
test_ratio, confusion_test = iris.assignment_1_testingset(
W, training_data, testing_data, testing_target, 3)
print("Testing:")
print(test_ratio)
print(confusion_test)