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only warn on exceptions in backtest for freqai interface
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eddca5a694
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@ -48,6 +48,7 @@
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],
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"freqai": {
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"enabled": true,
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"warn_exceptions_on_backtest_only": false,
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"purge_old_models": 2,
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"train_period_days": 15,
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"backtest_period_days": 7,
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@ -116,6 +116,8 @@ class IFreqaiModel(ABC):
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record_params(config, self.full_path)
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self.new_feature_selector = self.config.get('freqai', {}).get('warn_exceptions_on_backtest_only', False)
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def __getstate__(self):
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"""
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Return an empty state to be pickled in hyperopt
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@ -349,30 +351,47 @@ class IFreqaiModel(ABC):
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self.tb_logger = get_tb_logger(self.dd.model_type, dk.data_path,
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self.activate_tensorboard)
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self.model = self.train(dataframe_train, pair, dk)
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self.tb_logger.close()
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self.tb_logger.close()
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except Exception as msg:
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logger.warning(
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f"Training {pair} raised exception {msg.__class__.__name__}. "
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f"Message: {msg}, skipping.", exc_info=True)
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if self.new_feature_selector:
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logger.warning(
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"Train failed. Try to train on next pair." if self.new_feature_selector else
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"Train failed. Raise error, fix data issue and try again."
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)
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self.tb_logger.close()
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self.model = None
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self.dd.pair_dict[pair]["trained_timestamp"] = int(
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tr_train.stopts)
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if self.plot_features and self.model is not None:
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plot_feature_importance(self.model, pair, dk, self.plot_features)
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if self.save_backtest_models and self.model is not None:
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logger.info('Saving backtest model to disk.')
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self.dd.save_data(self.model, pair, dk)
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else:
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logger.info('Saving metadata to disk.')
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self.dd.save_metadata(dk)
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hard_check_model_valid = True
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if self.new_feature_selector:
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hard_check_model_valid = bool(False if self.model is None else True)
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if hard_check_model_valid:
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logger.info(
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"Model is trained. Saving model and metadata to disk."
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)
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if hard_check_model_valid:
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self.dd.pair_dict[pair]["trained_timestamp"] = int(tr_train.stopts)
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if self.plot_features and self.model is not None:
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plot_feature_importance(self.model, pair, dk, self.plot_features)
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if self.save_backtest_models and self.model is not None:
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logger.info('Saving backtest model to disk.')
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self.dd.save_data(self.model, pair, dk)
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else:
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logger.info('Saving metadata to disk.')
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self.dd.save_metadata(dk)
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else:
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self.model = self.dd.load_data(pair, dk)
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pred_df, do_preds = self.predict(dataframe_backtest, dk)
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append_df = dk.get_predictions_to_append(pred_df, do_preds, dataframe_backtest)
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dk.append_predictions(append_df)
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dk.save_backtesting_prediction(append_df)
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if hard_check_model_valid:
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pred_df, do_preds = self.predict(dataframe_backtest, dk)
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append_df = dk.get_predictions_to_append(pred_df, do_preds, dataframe_backtest)
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dk.append_predictions(append_df)
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dk.save_backtesting_prediction(append_df)
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self.backtesting_fit_live_predictions(dk)
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dk.fill_predictions(dataframe)
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