a simple example of machine learning: Classification

# import datasets
from sklearn import datasets
# import svm
from sklearn import svm

# load dataset
digits = datasets.load_digits()

# affiche dataset
print(digits.data)
print(digits.target)


# 8*8 shape of dara arrays
digits.images[0] # 1er image

# support vector classification
clf = svm.SVC(gamma=0.001, C=100.)

# methode fit() : learn from the model [:-1] except the last item
clf.fit(digits.data[:-1], digits.target[:-1])

# use the last image for predicting [-1:] the last item
clf.predict(digits.data[-1:])