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Functions330 in github.com/NewT123-WM/tnlearn

⨍ Functions 330◇ Types & classes 77
Methodpredict
(self, X: np.ndarray)
tnlearn/drsr/agent.py:285
Methodregister_program
(self, program: str)
tnlearn/drsr/buffer.py:74
Methodregister_program
( self, program: str, island_id: Optional[int], scores_per_test: ScoresPerTest
tnlearn/drsr/buffer.py:219
Functionrename_function_calls
Rename function calls from `source_name` to `target_name`.
tnlearn/drsr/code_manipulation.py:247
Functionreset_global_tokens
重置本次实验的全局 token 统计。
tnlearn/drsr/llm.py:34
Functionresnet152
return a ResNet 152 object
benchmark/image_benchmark_polyregressor/TC_Resnet.py:172
Functionresnet34
return a ResNet 34 object
benchmark/image_benchmark_polyregressor/TC_Resnet.py:157
Functionresnet50
return a ResNet 50 object
benchmark/image_benchmark_polyregressor/TC_Resnet.py:162
Methodsave
r"""Save the current model to the specified path with the given filename. Args: path: The path where the model weights are saved.
tnlearn/base1.py:47
Methodsavefigure
r"""Update the plots for loss and accuracy across epochs. Args: loss: Loss value during training. accuracy: Accuracy
tnlearn/visualize.py:110
Methodscore
r"""Evaluate the score of the model. Args: X_ (numpy ndarray): Test data. y_ (numpy ndarray): Label data. Re
tnlearn/mlpclassifier.py:346
Methodscore
r"""Evaluate the coefficient of determination. Args: X (numpy ndarray): Test data. y (numpy ndarray): Label data.
tnlearn/mlpregressor.py:321
Functionseresnet152
()
benchmark/image_benchmark_polyregressor/TC_senet.py:175
Functionseresnet18
()
benchmark/image_benchmark_polyregressor/TC_senet.py:163
Functionseresnet34
()
benchmark/image_benchmark_polyregressor/TC_senet.py:166
Functionseresnet50
()
benchmark/image_benchmark_polyregressor/TC_senet.py:169
MethodsetUp
(self)
tests/test_regressor.py:23
MethodsetUp
(self)
tests/test_base.py:42
Methodset_global_sample_nums
(self, num)
tnlearn/drsr/sampler.py:181
Functiontc_resnet18
return a ResNet 18 object
benchmark/image_benchmark_polyregressor/TC_Resnet.py:152
Methodtest_evaluate
(self)
tests/test_regressor.py:34
Methodtest_plot_progress
(self)
tests/test_base.py:90
Methodtest_rand_w
(self)
tests/test_regressor.py:46
Methodtest_save_load
(self)
tests/test_base.py:46
Methodtest_score_methods
(self)
tests/test_base.py:65
Methodtest_simp
(self)
tests/test_regressor.py:40
Functiontext_to_function
Return Function object by parsing input text using Python AST.
tnlearn/drsr/code_manipulation.py:190
Methodupdate
r"""Update the plots for loss and accuracy across epochs. Args: epoch: Epochs during training. loss: Loss value durin
tnlearn/visualize.py:77
Methodvisit_FunctionDef
Collect all information about the function being parsed.
tnlearn/drsr/code_manipulation.py:134
Functionyield_decorated
Yield names of functions decorated with `@module.name` in `code`.
tnlearn/drsr/code_manipulation.py:276
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