Refactor predictor loading and saving #81
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ofrancon
approved these changes
May 11, 2024
| @abstractmethod | ||
| def load(self, path: str): | ||
| def load(cls, path: str): |
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What does the load method return? I expect a Predictor class on which I can call the abstract predict method.
def load(cls, path: str) -> Predictor:
| self.set_params(features, label, hidden_sizes, linear_skip, | ||
| dropout, device, epochs, batch_size, optim_params, | ||
| train_pct, step_lr_params) | ||
| def __init__(self, model_config: dict): |
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A docstring explaining what the config dict should contain would be useful here.
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Refactored predictor loading and saving to be more intuitive using classmethods to load them all in 1 go.