针对你提出的 nameerror: name 'minmaxscaler' is not defined 错误,以下是一些可能的解决步骤和考虑因素: 检查导入语句: 首先,确保你的代码中已经正确导入了 MinMaxScaler。通常,MinMaxScaler 是从sklearn.preprocessing 模块中导入的。如果你的代码中缺少相应的导入语句,就会引发 NameError。 python from sklearn.prepr...
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...
It's not consistent Let's choose one and fix ! Type 1: using sklearn fromsklearn.preprocessingimportMinMaxScalerscaler=MinMaxScaler(feature_range=(0,1))xy=scaler.fit_transform(xy) Problems it creates another dependency onsklearn Type 2: custom defined function importnumpyasnpdefMinMaxScaler(data)...