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```ここに言語を入力
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import numpy as np
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from sklearn import datasets
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from sklearn.model_selection import GridSearchCV
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from sklearn.linear_model import LogisticRegression
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from sklearn.decomposition import PCA
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from sklearn.svm import SVC
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from sklearn.pipeline import Pipeline
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digits = datasets.load_digits()
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X,y=digits.data,digits.target
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from sklearn.model_selection import train_test_split
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X_train,X_test,y_train,y_test=train_test_split(X,y,test_size=0.2,random_state=0)
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clf1=LogisticRegression()
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clf2=SVC()
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estimators = [('pca', PCA()),
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('clf', clf1)]
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pipe1 = Pipeline(estimators)
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param1 = {'clf__C':[1e-5, 1e-3, 1e-2, 1, 1e2, 1e5, 1e10],
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'pca__whiten':[True,False],
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}
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gs = GridSearchCV(pipe1, param1)
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gs.fit(X_train, y_train)
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gs.score(X_test, y_test)
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from sklearn.model_selection import RandomizedSearchCV
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estimators= [('pca', PCA()),
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('clf',SVC())]
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pipe2 = Pipeline(estimators)
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gamma_range_exp = np.arange(-10.0, 0.0, 3)
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gamma_range = 10 ** gamma_range_exp
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param2 =[ {'clf__C':[1e-5, 1e-3, 1e-2, 1, 1e2, 1e5, 1e10],
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'clf__kernel':['linear'],
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'pca__whiten':[True,False],
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'pca__n_components': [30, 20, 10]},
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{'clf__C':[1e-5, 1e-3, 1e-2, 1, 1e2, 1e5, 1e10],
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'clf__kernel':['rbf'],
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'gamma': gamma_range,
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'pca__whiten':[True,False],
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'pca__n_components': [30, 20, 10]}
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]
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gs = RandomizedSearchCV(pipe2, param2, n_jobs=-1, verbose=2)
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gs.fit(X_train, y_train)
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```
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エラー内容
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AttributeError Traceback (most recent call last)
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<ipython-input-11-21305e2006cc> in <module>()
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13 gs = RandomizedSearchCV(pipe2, param2, n_jobs=-1, verbose=2)
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---> 14 gs.fit(X_train, y_train)
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~/anaconda3/lib/python3.6/site-packages/sklearn/model_selection/_search.py in fit(self, X, y, groups, **fit_params)
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616 n_splits = cv.get_n_splits(X, y, groups)
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617 # Regenerate parameter iterable for each fit
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--> 618 candidate_params = list(self._get_param_iterator())
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619 n_candidates = len(candidate_params)
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620 if self.verbose > 0:
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~/anaconda3/lib/python3.6/site-packages/sklearn/model_selection/_search.py in __iter__(self)
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236 # in this case we want to sample without replacement
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237 all_lists = np.all([not hasattr(v, "rvs")
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--> 238 for v in self.param_distributions.values()])
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239 rnd = check_random_state(self.random_state)
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AttributeError: 'list' object has no attribute 'values'
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