import pandas as pd
import numpy as np
#from sknn.mlp import Classifier, Layer
from sklearn.neural_network import MLPClassifier
from sklearn.cross_validation import cross_val_score
from sklearn.svm import LinearSVC

train = pd.read_csv("../input/train.csv")


X_tr = train.values[:, 1:].astype(float)/255
y_tr = train.values[:, 0]

recognizer = LinearSVC()
#cross validation score
score = cross_val_score(recognizer, X_tr, y_tr)
score = np.mean(score)
print(score)
#in-sample score
recognizer.fit(X_tr, y_tr)
print(recognizer.score(X_tr, y_tr))