Pydantic is a great way to declare a source of truth for a batch job, especially for ML. You can declare something like:

from pydantic import BaseModel, Field

class ModelParams(BaseModel):
    sample_size: int = Field(
        default=1024 * 4, description="Number of training samples per epoch."
    )
    learning_rate: float = Field(default=0.01, description="Learning rate for the optimizer.")

You can fill these model params with two methods too, you can imagine a form in the UI.

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