问题描述
我修改了 BernoulliRBM类 scikit-learn 使用一组 softmax 可见单元.在这个过程中，我添加了一个额外的 Numpy 数组 visible_config 作为类属性，它在构造函数中初始化如下:
I modified the BernoulliRBM class of scikit-learn to use groups of softmax visible units. In the process, I added an extra Numpy array visible_config as a class attribute which is initialized in the constructor as follows using:
self.visible_config = np.cumsum(np.concatenate((np.asarray([0]),
visible_config), axis=0))
其中 visible_config 是作为输入传递给构造函数的 Numpy 数组.当我直接使用 fit() 函数训练模型时，代码运行没有错误.但是，当我使用 GridSearchCV 结构时，出现以下错误
where visible_config is a Numpy array passed as an input to the constructor. The code runs without errors when I directly use the fit() function to train the model. However, when I use the GridSearchCV structure, I get the following error
Cannot clone object SoftmaxRBM(batch_size=100, learning_rate=0.01, n_components=100, n_iter=100,
random_state=0, verbose=True, visible_config=[ 0 21 42 63]), as the constructor does not seem to set parameter visible_config
这似乎是类的实例与其由 sklearn.base.clone 因为 visible_config 没有被正确复制.我不知道如何解决这个问题.它在文档中说 sklearn.base.clone 使用 deepcopy()，所以不应该复制 visible_config 吗?有人可以解释一下我可以在这里尝试什么吗?谢谢！
This seems to be a problem in the equality check between the instance of the class and its copy created by sklearn.base.clone because visible_config does not get copied correctly. I'm not sure how to fix this. It says in the documentation that sklearn.base.clone uses a deepcopy(), so shouldn't visible_config also get copied? Can someone please explain what I can try here? Thanks!
推荐答案
如果没有看到您的代码，就很难确切地知道出了什么问题，但是您在这里违反了 scikit-learn API 约定.估算器中的构造函数应该只将属性设置为用户作为参数传递的值.所有计算都应该在 fit 中进行，如果 fit 需要存储计算结果，它应该在带有尾随下划线(_).这种约定使 clone 和诸如 GridSearchCV 之类的元估计器起作用.
Without seeing your code, it's hard to tell exactly what goes wrong, but you are violating a scikit-learn API convention here. The constructor in an estimator should only set attributes to the values the user passes as arguments. All computation should occur in fit, and if fit needs to store the result of a computation, it should do so in an attribute with a trailing underscore (_). This convention is what makes clone and meta-estimators such as GridSearchCV work.
(*) 如果您在主代码库中看到违反此规则的估算器:那将是一个错误，欢迎提供补丁.
(*) If you ever see an estimator in the main codebase that violates this rule: that would be a bug, and patches are welcome.
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