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34 lines
690 B
Python
34 lines
690 B
Python
import logging
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from pathlib import Path
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from typing import Any
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from xgboost.callback import TrainingCallback
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logger = logging.getLogger(__name__)
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class BaseTensorboardLogger:
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def __init__(self, logdir: Path, activate: bool = True):
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pass
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def log_scalar(self, tag: str, scalar_value: Any, step: int):
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return
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def close(self):
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return
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class BaseTensorBoardCallback(TrainingCallback):
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def __init__(self, logdir: Path, activate: bool = True):
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pass
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def after_iteration(
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self, model, epoch: int, evals_log: TrainingCallback.EvalsLog
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) -> bool:
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return False
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def after_training(self, model):
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return model
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