freqtrade_origin/freqtrade/freqai/tensorboard/base_tensorboard.py

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