def test_template_estimator(data):
est = TemplateEstimator()
assert est.demo_param == 'demo_param'
est.fit(*data)
assert hasattr(est, 'is_fitted_')
X = data[0]
y_pred = est.predict(X)
assert_array_equal(y_pred, np.ones(X.shape[0], dtype=np.int64))
""" =========================== Plotting Template Estimator =========================== An example plot of TemplateEstimator """ import numpy as np from skltemplate import TemplateEstimator from matplotlib import pyplot as plt X = np.arange(100).reshape(100, 1) y = np.zeros((100, )) estimator = TemplateEstimator() estimator.fit(X, y) plt.plot(estimator.predict(X)) plt.show()
def test_demo():
X = np.random.random((100, 10))
estimator = TemplateEstimator()
estimator.fit(X, X[:, 0])
assert_almost_equal(estimator.predict(X), X[:, 0]**2)
