""" ======================= Plotting Stub Estimator ======================= An example plot of StubEstimator """ import numpy as np from sklstub.stub import StubEstimator from matplotlib import pyplot as plt X = np.arange(100).reshape(100, 1) y = np.zeros((100, )) estimator = StubEstimator() estimator.fit(X, y) plt.plot(estimator.predict(X)) plt.show()
def test_demo():
X = np.random.random((100, 10))
estimator = StubEstimator()
estimator.fit(X, X[:, 0])
assert_almost_equal(estimator.predict(X), X[:, 0])
def test_demo():
X = np.random.random((100, 10))
estimator = StubEstimator()
estimator.fit(X, X[:, 0])
assert_almost_equal(estimator.predict(X), X[:, 0]**2)
