针对你遇到的 NameError: name 'standardscaler' is not defined 错误,以下是一些可能的解决步骤和原因分析: 确认StandardScaler的导入: 在scikit-learn 库中,StandardScaler 是用于数据标准化的类。你需要确保已经从 sklearn.preprocessing 模块中正确导入了 StandardScaler。正确的导入方式如下: python from sklearn.prepro...
"Name 'area' is not defined" gives the error askedJan 5, 2021inPythonbymuhteşem turk(120points) 0votes 4answers Why is `input` in Python 3 throwing NameError: name… is not defined askedMar 27, 2021inPythonbyladdulakshana(16.4kpoints) ...
但是,我从代码中得到以下错误 Traceback (most recent call last): X =StandardScaler().fit_transform(X) NameError: name 'StandardScaler' is not defined 我在网上搜索了类似的主题,但是版本是正确的,我不知道还能做什么。 浏览1464提问于2020-11-08得票数0 ...
That said, I don't think the issue (at least not the original issue) is with unknown lengths. The traceback I get is TypeError Traceback (most recent call last) <ipython-input-34-66a7ea4404ff> in <module>() ---> 1 scl.fit(xd) ~/sandbox/dask-ml/dask_ml/preprocessing/data.py i...
The values are in scientific notation which can be hard to read if you’re not used to it. Next, the scaler is defined, fit on the whole dataset and then used to create a transformed version of the dataset with each column normalized independently. We can see that the largest raw value...