import pytest
from sklearn.utils.estimator_checks import check_estimator
from skltemplate import TemplateEstimator
from skltemplate import TemplateClassifier
from skltemplate import TemplateTransformer
@pytest.mark.parametrize(
"estimator",
[TemplateEstimator(), TemplateTransformer(), TemplateClassifier()]
)
def test_all_estimators(estimator):
return check_estimator(estimator)
""" =========================== 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)