本文整理汇总了Python中tpot.TPOT._feat_agg方法的典型用法代码示例。如果您正苦于以下问题：Python TPOT._feat_agg方法的具体用法？Python TPOT._feat_agg怎么用？Python TPOT._feat_agg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._feat_agg方法的2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_feat_agg
# 需要导入模块: from tpot import TPOT [as 别名]
# 或者: from tpot.TPOT import _feat_agg [as 别名]
def test_feat_agg():
"""Assert that the TPOT FeatureAgglomeration preprocessor outputs the input dataframe
when the number of training features is 0"""
tpot_obj = TPOT()
assert np.array_equal(tpot_obj._feat_agg(training_testing_data.ix[:, -3:], 5, 1, 1),
training_testing_data.ix[:, -3:])示例2: test_feat_agg_2
# 需要导入模块: from tpot import TPOT [as 别名]
# 或者: from tpot.TPOT import _feat_agg [as 别名]
def test_feat_agg_2():
"""Assert that FeatureAgglomeration returns the same object type as the input object type.
Also assert that the number of rows is identical between the input dataframe
and output dataframe.
"""
tpot_obj = TPOT()
input_df = training_testing_data
output_df = tpot_obj._feat_agg(input_df, 5, 1, 1)
assert type(input_df) == type(output_df)
(in_rows, in_cols) = input_df.shape
(out_rows, out_cols) = output_df.shape
assert in_rows == out_rows