λ³νκΈ° λ¨κ³μ λν΄ None
κ° μλ νμ΄νλΌμΈμμ 그리λ κ²μμ μννλ©΄ AttributeError
κ° λ°μν©λλ€. μλμ μ΄ μ€λν«μ μ΄μ μ scikit-learn==0.23.2
μ±κ³΅μ μΌλ‘ μ€νλμμ§λ§ λ μ΄μ 0.24.dev0
μλνμ§ μμ΅λλ€.
from sklearn.datasets import load_iris
from sklearn.pipeline import Pipeline
from sklearn.preprocessing import StandardScaler
from sklearn.model_selection import GridSearchCV
from sklearn.svm import SVC
iris = load_iris()
X, y = iris.data, iris.target
pipe = Pipeline([("setup", None), ("svc", SVC(kernel="linear", random_state=0))])
param_grid = [
{"svc__C": [0.1, 0.1]},
{"setup": [StandardScaler()]},
]
gs = GridSearchCV(pipe, param_grid=param_grid, return_train_score=True, cv=3)
gs.fit(X, y)
GridSearchCV.fit
νΈμΆμ μ±κ³΅μ μΌλ‘ μλ£ν μ μμ΅λλ€.
λ€μ μ€λ₯κ° λ°μν©λλ€(μλμ μ 체 μμΆμ μ ν¬ν¨νμ΅λλ€).
File "/Users/james/miniforge3/envs/dask-ml/lib/python3.8/site-packages/sklearn/base.py", line 863, in _is_pairwise
pairwise_tag = estimator._get_tags().get('pairwise', False)
File "/Users/james/miniforge3/envs/dask-ml/lib/python3.8/site-packages/sklearn/base.py", line 348, in _get_tags
more_tags = base_class._more_tags(self)
File "/Users/james/miniforge3/envs/dask-ml/lib/python3.8/site-packages/sklearn/pipeline.py", line 626, in _more_tags
estimator_tags = self.steps[0][1]._get_tags()
AttributeError: 'NoneType' object has no attribute '_get_tags'
_is_pairwise
κ²μ¬κ° λ¨κ³ λ³νκΈ°μ λν΄ None
κ° μλ νμ΄νλΌμΈμ μ μ©λ λ μμλλ‘ μλνμ§ μλ κ²μΌλ‘ 보μ
λλ€.
μ 체 μμΆμ :
Traceback (most recent call last):
File "test-pipeline.py", line 18, in <module>
gs.fit(X, y)
File "/Users/james/miniforge3/envs/dask-ml/lib/python3.8/site-packages/sklearn/utils/validation.py", line 60, in inner_f
return f(*args, **kwargs)
File "/Users/james/miniforge3/envs/dask-ml/lib/python3.8/site-packages/sklearn/model_selection/_search.py", line 841, in fit
self._run_search(evaluate_candidates)
File "/Users/james/miniforge3/envs/dask-ml/lib/python3.8/site-packages/sklearn/model_selection/_search.py", line 1288, in _run_search
evaluate_candidates(ParameterGrid(self.param_grid))
File "/Users/james/miniforge3/envs/dask-ml/lib/python3.8/site-packages/sklearn/model_selection/_search.py", line 795, in evaluate_candidates
out = parallel(delayed(_fit_and_score)(clone(base_estimator),
File "/Users/james/miniforge3/envs/dask-ml/lib/python3.8/site-packages/joblib/parallel.py", line 1048, in __call__
if self.dispatch_one_batch(iterator):
File "/Users/james/miniforge3/envs/dask-ml/lib/python3.8/site-packages/joblib/parallel.py", line 866, in dispatch_one_batch
self._dispatch(tasks)
File "/Users/james/miniforge3/envs/dask-ml/lib/python3.8/site-packages/joblib/parallel.py", line 784, in _dispatch
job = self._backend.apply_async(batch, callback=cb)
File "/Users/james/miniforge3/envs/dask-ml/lib/python3.8/site-packages/joblib/_parallel_backends.py", line 208, in apply_async
result = ImmediateResult(func)
File "/Users/james/miniforge3/envs/dask-ml/lib/python3.8/site-packages/joblib/_parallel_backends.py", line 572, in __init__
self.results = batch()
File "/Users/james/miniforge3/envs/dask-ml/lib/python3.8/site-packages/joblib/parallel.py", line 262, in __call__
return [func(*args, **kwargs)
File "/Users/james/miniforge3/envs/dask-ml/lib/python3.8/site-packages/joblib/parallel.py", line 262, in <listcomp>
return [func(*args, **kwargs)
File "/Users/james/miniforge3/envs/dask-ml/lib/python3.8/site-packages/sklearn/utils/fixes.py", line 222, in __call__
return self.function(*args, **kwargs)
File "/Users/james/miniforge3/envs/dask-ml/lib/python3.8/site-packages/sklearn/model_selection/_validation.py", line 585, in _fit_and_score
X_train, y_train = _safe_split(estimator, X, y, train)
File "/Users/james/miniforge3/envs/dask-ml/lib/python3.8/site-packages/sklearn/utils/metaestimators.py", line 198, in _safe_split
if _is_pairwise(estimator):
File "/Users/james/miniforge3/envs/dask-ml/lib/python3.8/site-packages/sklearn/base.py", line 863, in _is_pairwise
pairwise_tag = estimator._get_tags().get('pairwise', False)
File "/Users/james/miniforge3/envs/dask-ml/lib/python3.8/site-packages/sklearn/base.py", line 348, in _get_tags
more_tags = base_class._more_tags(self)
File "/Users/james/miniforge3/envs/dask-ml/lib/python3.8/site-packages/sklearn/pipeline.py", line 626, in _more_tags
estimator_tags = self.steps[0][1]._get_tags()
AttributeError: 'NoneType' object has no attribute '_get_tags'
System:
python: 3.8.6 | packaged by conda-forge | (default, Oct 7 2020, 18:42:56) [Clang 10.0.1 ]
executable: /Users/james/miniforge3/envs/dask-ml/bin/python3.8
machine: macOS-10.15.5-x86_64-i386-64bit
Python dependencies:
pip: 20.2.4
setuptools: 49.6.0.post20201009
sklearn: 0.24.dev0
numpy: 1.19.4
scipy: 1.5.3
Cython: None
pandas: 1.1.4
matplotlib: None
joblib: 0.17.0
threadpoolctl: 2.1.0
Built with OpenMP: True
@jrbourbeau 보κ³
None
μ¬μ©ν λ μ€λ₯κ° λνλ λΏλ§ μλλΌ _get_tags
μμ±μ΄ μλ λ¨κ³λ₯Ό μ¬μ©ν λ μ€λ₯κ° νμλκΈ° λλ¬Έμ μ°¨λ¨κΈ°λ‘ νμνκ² μ΅λλ€ None
BaseEstimator
)
#18797μ μν΄ μμ λμμ΅λλ€. μκΈ° μ μ ν λ²κ·Έ λ³΄κ³ μ @jrbourbeauμ κ°μ¬λ립λλ€.
κ°μ₯ μ μ©ν λκΈ
None
μ¬μ©ν λ μ€λ₯κ° λνλ λΏλ§ μλλΌ_get_tags
μμ±μ΄ μλ λ¨κ³λ₯Ό μ¬μ©ν λ μ€λ₯κ° νμλκΈ° λλ¬Έμ μ°¨λ¨κΈ°λ‘ νμνκ² μ΅λλ€None
BaseEstimator
)