Code :import pandas as pd from sklearn.preprocessing import MinMaxScaler # Load the dataset df = pd.read_csv('data.csv') # Initialize the MinMaxScaler scaler = MinMaxScaler() # Apply Min-Max scaling to the 'Age' and 'Salary' columns df[['Age', 'Salary']] = scaler.fit_transform(df[...
# transform the test test X_scaled = scaler.transform(X) # Verify minimum value of all features X_scaled.min(axis=0) # array([0., 0., 0., 0.]) # Verify maximum value of all features X_scaled.max(axis=0) # array([1., 1., 1., 1.]) # Manually normalise without usi...
EN我试图使用CNN的多元时间序列，而不是最常见的使用图像。功能的数量在90到120之间，这取决于我需要考...
For details, see Supporting Python Objects in Dataset Pipeline. AutoParallel [STABLE] The strategies of whole parameters can be saved when saving strategy. [STABLE] The Conv3D/MaxPool3D/AvgPool3D distributed operator is supported. [STABLE] Support operator-level parallelism and optimizer-level ...
问层"conv2d_5“的输入0与图层不兼容:期望的min_ndim=4，找到的ndim=2。EN第二种方法是直接将数据...