本文整理汇总了Python中tpot.TPOT.predict方法的典型用法代码示例。如果您正苦于以下问题：Python TPOT.predict方法的具体用法？Python TPOT.predict怎么用？Python TPOT.predict使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类tpot.TPOT的用法示例。
在下文中一共展示了TPOT.predict方法的3个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_predict
# 需要导入模块: from tpot import TPOT [as 别名]
# 或者: from tpot.TPOT import predict [as 别名]
def test_predict():
"""Ensure that the TPOT predict function raises a ValueError when no optimized pipeline exists"""
tpot_obj = TPOT()
try:
tpot_obj.predict(testing_features)
assert False # Should be unreachable
except ValueError:
pass示例2: test_predict_2
# 需要导入模块: from tpot import TPOT [as 别名]
# 或者: from tpot.TPOT import predict [as 别名]
def test_predict_2():
"""Ensure that the TPOT predict function returns a DataFrame of shape (num_testing_rows,)"""
tpot_obj = TPOT()
tpot_obj._training_classes = training_classes
tpot_obj._training_features = training_features
tpot_obj._optimized_pipeline = creator.Individual.\
from_string('_logistic_regression(input_df, 1.0, 0, True)', tpot_obj._pset)
result = tpot_obj.predict(testing_features)
assert result.shape == (testing_features.shape[0],)示例3: test_predict_2
# 需要导入模块: from tpot import TPOT [as 别名]
# 或者: from tpot.TPOT import predict [as 别名]
def test_predict_2():
"""Assert that the TPOT predict function returns a numpy matrix of shape (num_testing_rows,)"""
tpot_obj = TPOT()
tpot_obj._optimized_pipeline = creator.Individual.\
from_string('DecisionTreeClassifier(input_matrix)', tpot_obj._pset)
tpot_obj._fitted_pipeline = tpot_obj._toolbox.compile(expr=tpot_obj._optimized_pipeline)
tpot_obj._fitted_pipeline.fit(training_features, training_classes)
result = tpot_obj.predict(testing_features)
assert result.shape == (testing_features.shape[0],)