AttributeError: 'numpy.ndarray' object has no attribute 'fit'
时间: 2023-10-25 19:08:26 浏览: 35
This error occurs when you try to call the `fit()` method on a NumPy array, which does not have this method.
The `fit()` method is commonly used in machine learning models to train the model on a dataset. It is usually called on an instance of a machine learning model, such as a `LinearRegression` object from the scikit-learn library.
To fix the error, you need to make sure you are calling the `fit()` method on the correct object. It is possible that you are passing a NumPy array to a machine learning model instead of a proper input object. Make sure you are passing the correct data type to the model's `fit()` method.
相关问题
AttributeError: 'numpy.ndarray' object has no attribute 'hilbert'
引用[1]:报错: AttributeError: ‘numpy.ndarray’ object has no attribute ‘columns 解决: 直接使用 a.tolist() 处理数据即可解决问题。 参考文章: python中list与array类型的查看与转换。引用[2]:==>> Sun Mar 6 18:24:10 2022 [Iter 1/8] loss = 7767.667969 ====>> Sun Mar 6 18:24:10 2022 Pass time: 0:00:17.678687 Traceback (most recent call last): File "C:\Program Files\pycharm\PyCharm Community Edition 2021.3.1\plugins\python-ce\helpers\pydev\pydevd.py", line 1483, in _exec pydev_imports.execfile(file, globals, locals) # execute the script File "C:\Program Files\pycharm\PyCharm Community Edition 2021.3.1\plugins\python-ce\helpers\pydev\_pydev_imps\_pydev_execfile.py", line 18, in execfile exec(compile(contents "\n", file, 'exec'), glob, loc) File "C:/Users/shang/Desktop/STDN_LI/TVGnet/OSV_q.py", line 358, in <module> train(opt) File "C:/Users/shang/Desktop/STDN_LI/TVGnet/OSV_q.py", line 284, in train grd_x, grd_y = getGrd(img_in) File "C:/Users/shang/Desktop/STDN_LI/TVGnet/OSV_q.py", line 37, in getGrd grd_x = data_in.clone() AttributeError: 'numpy.ndarray' object has no attribute 'clone' 。引用[3]:源代码运行如下: from sklearn.pipeline import Pipeline from sklearn.preprocessing import StandardScaler num_pipeline = Pipeline([ ('imputer',SimpleImputer(strategy="median")), ('attribs_adder',CombinedAttributesAdder()), ('std_scaler',StandardScaler) ]) housing_num_tr = num_pipeline.fit_transform(housing_num) 。
问题:AttributeError: 'numpy.ndarray' object has no attribute 'hilbert'
回答: 根据提供的引用内容,错误信息显示'numpy.ndarray'对象没有'hilbert'属性。这意味着在使用该属性时出现了错误。要解决此问题,您可以检查代码中是否正确导入了所需的模块,并确保您正在使用正确的属性名称。如果您确定代码正确,但仍然出现此错误,请检查您的数据是否正确加载并符合预期的格式。如果问题仍然存在,您可以尝试查找相关的文档或寻求专业人士的帮助来解决该问题。
AttributeError: 'numpy.ndarray' object has no attribute 'filter'
这个错误是由于在代码中调用了一个numpy数组对象的不存在的属性而引起的。根据引用\[1\]和引用\[3\]的错误提示,可以看出在处理数据时出现了AttributeError: 'numpy.ndarray' object has no attribute 'fit'的错误。这个错误通常是由于在使用sklearn的Pipeline时,没有正确调用某个步骤的方法导致的。在这种情况下,可能是在num_pipeline中的某个步骤没有正确调用fit_transform方法。要解决这个问题,你需要仔细检查代码,确保每个步骤都正确调用了相应的方法,并且确保在调用StandarScaler时加上小括号,即StandarScaler()。这样才能正确调用该方法。\[2\]
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- *1* [【Tensorflow2】AttributeError: ‘Tensor‘ object has no attribute ‘numpy‘ 解决 (tf.py_function)](https://blog.csdn.net/qq_27329407/article/details/125722048)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v91^control_2,239^v3^insert_chatgpt"}} ] [.reference_item]
- *2* *3* [AttributeError: ‘numpy.ndarray‘ object has no attribute ‘fit](https://blog.csdn.net/weixin_42961082/article/details/109193319)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v91^control_2,239^v3^insert_chatgpt"}} ] [.reference_item]
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