New feature: Model building and data scoring over multiple target variables.
Improvement: ENRegression model optimization, which allows auto-setting parameters through cross-validation, besides the manual setting.
New models: PCARegression and PCAClassification. Both make the model building process more efficient in extreme scenarios, such as the data amount is too small or there are too many redundant variables.
New feature: Dynamically load TensorFlow module. If the installation environment doesn’t support TensorFlow, only the related models are disabled.
Update: New data transmission requirements for performing data scoring.
The product name is changed from 【AI Model】to 【YModel】.
