python - Sklearn Predict_Proba: ValueError: 操作数不能与形状一起广播 (44,57) (4,)

Question

我正在尝试通过递归特征消除来计算机器学习模型的 log_loss，并且当我尝试运行 sklearns predict_proba 函数时发生值错误

我目前试图通过 RFE 删除修改我的数据集的代码。当我这样做时，不会发生形状改变，同样的错误仍然会发生。测试数据的形状从 (44,2048) 开始，测试标签从 (44,) 开始，改装后变为：测试数据形状变为 (44,57) 测试标签不受影响

我真的不知道接下来要尝试什么，任何建议都会有所帮助。我不明白 (4,) 是从哪里来的，因为它试图将我的数据塑造成它

def get_log_loss(self, test_data, test_labels, rfe):
    rfe.fit(test_data, test_labels)
    test_data = rfe.transform(test_data)
    test_probs = self._model.predict_proba(test_data)
    score = log_loss(test_labels, test_probs)
    return score

错误：

Traceback (most recent call last):
      File "C:\Program Files\JetBrains\PyCharm Community Edition 2019.1.2\helpers\pydev\pydevd.py", line 2060, in <module>
        main()
      File "C:\Program Files\JetBrains\PyCharm Community Edition 2019.1.2\helpers\pydev\pydevd.py", line 2054, in main
        globals = debugger.run(setup['file'], None, None, is_module)
      File "C:\Program Files\JetBrains\PyCharm Community Edition 2019.1.2\helpers\pydev\pydevd.py", line 1405, in run
        return self._exec(is_module, entry_point_fn, module_name, file, globals, locals)
      File "C:\Program Files\JetBrains\PyCharm Community Edition 2019.1.2\helpers\pydev\pydevd.py", line 1412, in _exec
        pydev_imports.execfile(file, globals, locals)  # execute the script
      File "C:\Program Files\JetBrains\PyCharm Community Edition 2019.1.2\helpers\pydev\_pydev_imps\_pydev_execfile.py", line 18, in execfile
        exec(compile(contents+"\n", file, 'exec'), glob, loc)
      File "C:/Users/myname/PycharmProjects/MQP/mainv1.py", line 376, in <module>
        test_model(test_batch, test_labels, j, l)
      File "C:/Users/myname/PycharmProjects/MQP/mainv1.py", line 190, in test_model
        logloss = model_obj.get_log_loss(a_test_batch, a_test_labels, rfe)
      File "C:\Users\myname\PycharmProjects\MQP\trainData.py", line 59, in get_log_loss
        test_probs = self._model.predict_proba(test_data)
      File "C:\Users\myname\AppData\Local\Continuum\anaconda3\lib\site-packages\sklearn\naive_bayes.py", line 104, in predict_proba
        return np.exp(self.predict_log_proba(X))
      File "C:\Users\myname\AppData\Local\Continuum\anaconda3\lib\site-packages\sklearn\naive_bayes.py", line 84, in predict_log_proba
        jll = self._joint_log_likelihood(X)
      File "C:\Users\myname\AppData\Local\Continuum\anaconda3\lib\site-packages\sklearn\naive_bayes.py", line 437, in _joint_log_likelihood
        n_ij -= 0.5 * np.sum(((X - self.theta_[i, :]) ** 2) /
    ValueError: operands could not be broadcast together with shapes (44,57) (4,)