python
import matplotlib.pyplot as plt
from mvpa2.suite import *
dataset = ExampleDataset().load()
train_dataset = dataset[:-10]
test_dataset = dataset[-10:]
poly_detrend(train_dataset.samples)
poly_detrend(test_dataset.samples)
fsel = SensitivityBasedFeatureSelection(
OneWayAnova(),
FractionTailSelector(0.05, mode='select', tail='upper'))
clf = LinearCSVMC()
pipeline = Pipeline([
('fsel', fsel),
('clf', clf)
])
pipeline.train(train_dataset)
predictions = pipeline.predict(test_dataset)
print(predictions)
plt.plot(predictions, 'ro')
plt.show()