def __init__(self,
              hyperparams: HyperparameterSamples = None,
              hyperparams_space: HyperparameterSpace = None,
              name: str = None):
     NonFittableMixin.__init__(self)
     BaseStep.__init__(self, hyperparams, hyperparams_space, name)
     InputAndOutputTransformerMixin.__init__(self)
Exemple #2
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 def __init__(self, seed=None, increment_seed_after_each_fit=True):
     BaseTransformer.__init__(self)
     InputAndOutputTransformerMixin.__init__(self)
     if seed is None:
         seed = 42
     self.seed = seed
     self.increment_seed_after_each_fit = increment_seed_after_each_fit
Exemple #3
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 def __init__(self):
     BaseStep.__init__(self)
     InputAndOutputTransformerMixin.__init__(self)
     NonFittableMixin.__init__(self)
Exemple #4
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 def __init__(self, window_size_past, window_size_future):
     BaseStep.__init__(self)
     InputAndOutputTransformerMixin.__init__(self)
     NonFittableMixin.__init__(self)
     self.window_size_past = window_size_past
     self.window_size_future = window_size_future
Exemple #5
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 def __init__(self):
     super().__init__(hashers=[HashlibMd5ValueHasher()])
     InputAndOutputTransformerMixin.__init__(self)
Exemple #6
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 def __init__(self):
     BaseTransformer.__init__(self, hashers=[HashlibMd5ValueHasher()])
     InputAndOutputTransformerMixin.__init__(self)
Exemple #7
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 def __init__(self, seed, increment_seed_after_each_fit=True):
     InputAndOutputTransformerMixin.__init__(self)
     BaseStep.__init__(self)
     self.seed = seed
     self.increment_seed_after_each_fit = increment_seed_after_each_fit