AI, Technology, Life, Life Lessons, Artificial Intelligence.
datasets.load_digits() # Create a Support Vector Classifier clf = svm.SVC(gamma=0.001, C=100.) # Split data into training and test sets x_train, y_train = digits.data[:-10], digits.target[:-10] x_test, y_test = digits.data[-10:], digits.target[-10:] # Train the model clf.fit(x_train, y_train) #