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fix live retraining bug

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This commit is contained in:
robcaulk 2022-05-28 11:38:57 +02:00
parent 0bf915054d
commit 7870a86e9a
3 changed files with 3 additions and 2 deletions
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docs/assets/weights_factor.png Normal file
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2
freqtrade/freqai/data_kitchen.py
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@ -675,7 +675,7 @@ class FreqaiDataKitchen:
def check_if_new_training_required(self, trained_timestamp: int) -> Tuple[bool, TimeRange]: def check_if_new_training_required(self, trained_timestamp: int) -> Tuple[bool, TimeRange]:
time = datetime.datetime.now(tz=datetime.timezone.utc).timestamp() time = datetime.datetime.now(tz=datetime.timezone.utc).timestamp()
trained_timerange = TimeRange('date', 'date') trained_timerange = TimeRange()
if trained_timestamp != 0: if trained_timestamp != 0:
elapsed_time = (time - trained_timestamp) / SECONDS_IN_DAY elapsed_time = (time - trained_timestamp) / SECONDS_IN_DAY
retrain = elapsed_time > self.freqai_config.get('backtest_period') retrain = elapsed_time > self.freqai_config.get('backtest_period')

3
freqtrade/freqai/freqai_interface.py
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@ -187,7 +187,8 @@ class IFreqaiModel(ABC):
(model_filename, (model_filename,
trained_timestamp, trained_timestamp,
coin_first) = self.data_drawer.get_pair_dict_info(metadata) coin_first) = self.data_drawer.get_pair_dict_info(metadata)
if self.training_on_separate_thread:
print('debug_here')
if not self.training_on_separate_thread: if not self.training_on_separate_thread:
file_exists = False file_exists = False