def test_generate_test(self):
from ramp.modeling import generate_test
model_def = self.make_model_def_basic()
x, y, fitted_model = fit_model(model_def, self.data)
x, y_true = generate_test(model_def, self.data[:3], fitted_model)
y_preds = fitted_model.model_def.estimator.predict(x)
self.assertEqual(len(x), 3)
self.assertEqual(len(y_true), 3)
self.assertEqual(len(y_preds), 3)
def test_predict(self):
model_def = self.make_model_def_basic()
x, y, fitted_model = fit_model(model_def, self.data)
x, y_true = modeling.generate_test(model_def, self.data[:3], fitted_model)
y_preds = fitted_model.fitted_estimator.predict(x)
self.assertEqual(len(x), 3)
self.assertEqual(len(y_true), 3)
self.assertEqual(len(y_preds), 3)
y_preds2 = modeling.predict_with_model(model_def, self.data[:3], fitted_model)
assert_almost_equal(y_preds, y_preds2.values)
def test_predictions_nest(self):
inner_estimator = DummyEstimator()
inner_model = ModelDefinition(features=[F("a")], estimator=inner_estimator, target=F("b"))
features = [F("c"), Predictions(inner_model)]
target = F("b")
estimator = DummyEstimator()
model_def = ModelDefinition(features=features, estimator=estimator, target=target)
train_index = self.data.index[:5]
x, y, fitted_model = fit_model(model_def, self.data, train_index=train_index)
self.assertEqual(fitted_model.fitted_features[1].trained_data.fitted_estimator.fitx.shape, (5, 1))
self.assertEqual(x.shape, (len(train_index), 2))
x, y_true = modeling.generate_test(model_def, self.data[:3], fitted_model)
assert_almost_equal(x[x.columns[1]].values, np.zeros(3))
def _predict(self, fitted_model, predict_data):
x_test, y_true = generate_test(self.model_def, predict_data, fitted_model)
y_preds = self.model_def.estimator.predict(x_test)
return y_preds - y_true
def _predict(self, fitted_model, predict_data):
x_test, y_true = generate_test(self.model_def, predict_data,
fitted_model)
y_preds = self.model_def.estimator.predict(x_test)
return y_preds - y_true
def test_generate_test(self):
model_def = self.make_model_def_basic()
x, y, fitted_model = fit_model(model_def, self.data)
test_index = self.data.index[:5]
x_test, y_test = generate_test(model_def, self.data.loc[test_index], fitted_model)
assert_almost_equal(x_test.index, test_index)
