add USERPATH_FREQAIMODELS, remove return values from @abstract methods
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@ -55,6 +55,7 @@ FTHYPT_FILEVERSION = 'fthypt_fileversion'
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USERPATH_HYPEROPTS = 'hyperopts'
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USERPATH_HYPEROPTS = 'hyperopts'
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USERPATH_STRATEGIES = 'strategies'
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USERPATH_STRATEGIES = 'strategies'
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USERPATH_NOTEBOOKS = 'notebooks'
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USERPATH_NOTEBOOKS = 'notebooks'
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USERPATH_FREQAIMODELS = 'freqaimodels'
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TELEGRAM_SETTING_OPTIONS = ['on', 'off', 'silent']
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TELEGRAM_SETTING_OPTIONS = ['on', 'off', 'silent']
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WEBHOOK_FORMAT_OPTIONS = ['form', 'json', 'raw']
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WEBHOOK_FORMAT_OPTIONS = ['form', 'json', 'raw']
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@ -110,8 +110,6 @@ class IFreqaiModel(ABC):
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:model: Trained model which can be used to inference (self.predict)
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:model: Trained model which can be used to inference (self.predict)
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"""
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"""
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return Any
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@abstractmethod
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@abstractmethod
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def fit(self) -> Any:
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def fit(self) -> Any:
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"""
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"""
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@ -123,8 +121,6 @@ class IFreqaiModel(ABC):
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all the training and test data/labels.
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all the training and test data/labels.
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"""
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"""
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return Any
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@abstractmethod
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@abstractmethod
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def predict(self, dataframe: DataFrame) -> Tuple[np.array, np.array]:
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def predict(self, dataframe: DataFrame) -> Tuple[np.array, np.array]:
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"""
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"""
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@ -136,8 +132,6 @@ class IFreqaiModel(ABC):
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data (NaNs) or felt uncertain about data (PCA and DI index)
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data (NaNs) or felt uncertain about data (PCA and DI index)
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"""
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"""
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return np.array([]), np.array([])
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def model_exists(self, pair: str, training_timerange: str) -> bool:
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def model_exists(self, pair: str, training_timerange: str) -> bool:
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"""
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"""
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Given a pair and path, check if a model already exists
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Given a pair and path, check if a model already exists
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