Which validation checks are performed for ML packages uploaded with the Enable Training option inactive?
A.
Existence of a non-empty root folder, requirements.txt file, and train.py file in the root folder which implements a class Main. The class is further validated to implement an__init_function.
B.
Existence of a non-empty root folder, requlrements.txt file, and main.py file in the root folder which implements a class Main. The class is further validated to implement an__init and a predict function.
C.
Existence of a non-empty root folder, main.py file in the root folder which implements a dass Main. The class is further validated to implement an__init__and a predict function.
D.
Existence of a requirements.txt file, and main.py file which implements a class Main. The class is further validated lo implement an__init__and a predict function.
When uploading an ML package in UiPath AI Center with the Enable Training option inactive, several validation checks are performed:
There must be a non-empty root folder.
A requirements.txt file must be present to define dependencies.
A main.py file should be in the root folder, which implements a class Main.
The class must implement the necessary methods, such as __init__ and predict.
For more details, refer to:
UiPath AI Center Documentation: ML Package Validation
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