9c889d184047c2613fb9f8473f3f8a4b11bd452d,experiments/mnist.py,,,#,31

Before Change

    clf.verbose = True
    scores = clf.cross_validate(X, Y, 10)
    print(scores)
    print(np.mean(scores))
    print(np.std(scores))

    // split into input (X) and output (Y) variables
    // define 10-fold cross validation test harness

After Change

    clf = ImageClassifier(searcher_type="bayesian", path="/home/haifeng/mnist", verbose=True, trainer_args=trainer_args)

    clf.fit(x_train, y_train, time_limit=12*60*60)
    clf.final_fit(x_train, y_train, x_test, y_test, trainer_args, retrain=True)
    y = clf.evaluate(x_test, y_test)
    print(y)
    // MLP for Pima Indians Dataset with 10-fold cross validation
    // model = clf.load_searcher().load_best_model()

Instances