多标签 OneVsRestClassifier 的 GridSearch? [英] GridSearch for Multilabel OneVsRestClassifier?
本文介绍了多标签 OneVsRestClassifier 的 GridSearch?的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
我正在对多标签数据进行网格搜索,如下所示:
I'm doing a grid search over multilabel data as follows:
#imports
from sklearn.svm import SVC as classifier
from sklearn.pipeline import Pipeline
from sklearn.decomposition import RandomizedPCA
from sklearn.cross_validation import StratifiedKFold
from sklearn.grid_search import GridSearchCV
#classifier pipeline
clf_pipeline = clf_pipeline = OneVsRestClassifier(
Pipeline([('reduce_dim', RandomizedPCA()),
('clf', classifier())
]
))
C_range = 10.0 ** np.arange(-2, 9)
gamma_range = 10.0 ** np.arange(-5, 4)
n_components_range = (10, 100, 200)
degree_range = (1, 2, 3, 4)
param_grid = dict(estimator__clf__gamma=gamma_range,
estimator__clf__c=c_range,
estimator__clf__degree=degree_range,
estimator__reduce_dim__n_components=n_components_range)
grid = GridSearchCV(clf_pipeline, param_grid,
cv=StratifiedKFold(y=Y, n_folds=3), n_jobs=1,
verbose=2)
grid.fit(X, Y)
我看到以下回溯:
/Users/andrewwinterman/Documents/sparks-honey/classifier/lib/python2.7/site-packages/sklearn/grid_search.pyc in fit_grid_point(X, y, base_clf, clf_params, train, test, loss_func, score_func, verbose, **fit_params)
107
108 if y is not None:
--> 109 y_test = y[safe_mask(y, test)]
110 y_train = y[safe_mask(y, train)]
111 clf.fit(X_train, y_train, **fit_params)
TypeError: only integer arrays with one element can be converted to an index
看起来像 GridSearchCV 对象到多个标签.我应该如何解决这个问题?我是否需要使用 label_binarizer 显式迭代唯一类,在每个子估计器上运行网格搜索?
Looks like GridSearchCV objects to multiple labels. How should I work around this? Do I need to explicitly iterate through the unique classes with label_binarizer, running grid search on each sub-estimator?
推荐答案
我觉得 grid_search.py 有问题
I think there is a bug in grid_search.py
您是否尝试将 y
作为 numpy 数组?
Have you tried to give y
as numpy array?
import numpy as np
Y = np.asarray(Y)
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