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Small type and typo fixes in freqai_interface

This commit is contained in:
Matthias 2022-07-28 07:24:30 +02:00
parent a2a0d35a24
commit efbd83c56d
1 changed files with 11 additions and 9 deletions
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20
freqtrade/freqai/freqai_interface.py
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@ -61,19 +61,21 @@ class IFreqaiModel(ABC):
self.config = config
self.assert_config(self.config)
self.freqai_info = config["freqai"]
self.data_split_parameters = config.get("freqai", {}).get("data_split_parameters")
self.model_training_parameters = config.get("freqai", {}).get("model_training_parameters")
self.freqai_info: Dict[str, Any] = config["freqai"]
self.data_split_parameters: Dict[str, Any] = config.get("freqai", {}).get(
"data_split_parameters", {})
self.model_training_parameters: Dict[str, Any] = config.get("freqai", {}).get(
"model_training_parameters", {})
self.feature_parameters = config.get("freqai", {}).get("feature_parameters")
self.retrain = False
self.first = True
self.set_full_path()
self.follow_mode = self.freqai_info.get("follow_mode", False)
self.follow_mode: bool = self.freqai_info.get("follow_mode", False)
self.dd = FreqaiDataDrawer(Path(self.full_path), self.config, self.follow_mode)
self.lock = threading.Lock()
self.identifier = self.freqai_info.get("identifier", "no_id_provided")
self.identifier: str = self.freqai_info.get("identifier", "no_id_provided")
self.scanning = False
self.keras = self.freqai_info.get("keras", False)
self.keras: bool = self.freqai_info.get("keras", False)
if self.keras and self.freqai_info.get("feature_parameters", {}).get("DI_threshold", 0):
self.freqai_info["feature_parameters"]["DI_threshold"] = 0
logger.warning("DI threshold is not configured for Keras models yet. Deactivating.")
@ -253,7 +255,7 @@ class IFreqaiModel(ABC):
# get the model metadata associated with the current pair
(_, trained_timestamp, return_null_array) = self.dd.get_pair_dict_info(metadata["pair"])
# if the metadata doesnt exist, the follower returns null arrays to strategy
# if the metadata doesn't exist, the follower returns null arrays to strategy
if self.follow_mode and return_null_array:
logger.info("Returning null array from follower to strategy")
self.dd.return_null_values_to_strategy(dataframe, dk)
@ -364,7 +366,7 @@ class IFreqaiModel(ABC):
raise OperationalException(
"Trying to access pretrained model with `identifier` "
"but found different features furnished by current strategy."
"Change `identifer` to train from scratch, or ensure the"
"Change `identifier` to train from scratch, or ensure the"
"strategy is furnishing the same features as the pretrained"
"model"
)
@ -457,7 +459,7 @@ class IFreqaiModel(ABC):
data_load_timerange: TimeRange,
):
"""
Retreive data and train model in single threaded mode (only used if model directory is empty
Retrieve data and train model in single threaded mode (only used if model directory is empty
upon startup for dry/live )
:param new_trained_timerange: TimeRange = the timerange to train the model on
:param metadata: dict = strategy provided metadata