def testDmatrix(self):
x = self.X
cond = x[:, 0] < 1
x = x[cond]
y = self.y[cond]
# reset shape to mock the case that tileable's shape is doomed,
# but chunks do not
y._shape = self.y.shape
dmatrix = MarsDMatrix(x, y)
dmatrix.execute()
def testLocalPredictDataFrame(self):
dtrain = MarsDMatrix(self.X_df, self.y_series)
booster = train({}, dtrain, num_boost_round=2)
self.assertIsInstance(booster, Booster)
prediction = predict(booster, self.X_df)
self.assertIsInstance(prediction.to_pandas(), pd.Series)
def test_local_predict_dataframe(setup):
dtrain = MarsDMatrix(X_df, y_series)
booster = train({}, dtrain, num_boost_round=2)
assert isinstance(booster, Booster)
prediction = predict(booster, X_df)
assert isinstance(prediction.to_pandas(), pd.Series)
def testLocalPredictTensor(self):
dtrain = MarsDMatrix(self.X, self.y)
booster = train({}, dtrain, num_boost_round=2)
self.assertIsInstance(booster, Booster)
prediction = predict(booster, self.X)
self.assertIsInstance(prediction.to_numpy(), np.ndarray)
prediction = predict(booster, dtrain)
self.assertIsInstance(prediction.fetch(), np.ndarray)
with self.assertRaises(TypeError):
predict(None, self.X)
def test_local_predict_tensor(setup):
dtrain = MarsDMatrix(X, y)
booster = train({}, dtrain, num_boost_round=2)
assert isinstance(booster, Booster)
prediction = predict(booster, X)
assert isinstance(prediction.to_numpy(), np.ndarray)
prediction = predict(booster, X_sparse)
assert isinstance(prediction.to_numpy(), np.ndarray)
prediction = predict(booster, dtrain)
assert isinstance(prediction.fetch(), np.ndarray)
with pytest.raises(TypeError):
predict(None, X)
def testLocalTrainDataFrame(self):
dtrain = MarsDMatrix(self.X_df, self.y_series)
booster = train({}, dtrain, num_boost_round=2)
self.assertIsInstance(booster, Booster)
def testLocalTrainSparseTensor(self):
dtrain = MarsDMatrix(self.X_sparse, self.y)
booster = train({}, dtrain, num_boost_round=2)
self.assertIsInstance(booster, Booster)
def test_local_train_dataframe(setup):
dtrain = MarsDMatrix(X_df, y_series)
booster = train({}, dtrain, num_boost_round=2)
assert isinstance(booster, Booster)
def test_local_train_sparse_tensor(setup):
dtrain = MarsDMatrix(X_sparse, y)
booster = train({}, dtrain, num_boost_round=2)
assert isinstance(booster, Booster)
def testLocalTrainTensor(self):
new_session().as_default()
dtrain = MarsDMatrix(self.X, self.y)
booster = train({}, dtrain, num_boost_round=2)
self.assertIsInstance(booster, Booster)