Function __init__ has a Cognitive Complexity of 7 (exceeds 5 allowed). Consider refactoring.

Open

    def __init__(self, v_deprecate=None, v_remove=None, v_current=None, details=""):
        """Decorator to mark a function or class as deprecated. Issue warning when the function is
        called or the class is instantiated, and add a warning to the docstring. The optional
        `details` argument will be appended to the deprecation message and the docstring

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Function inverse_transform has a Cognitive Complexity of 7 (exceeds 5 allowed). Consider refactoring.

Open

    def inverse_transform(self, data_t):
        """Inverse transform samples from the warped space back to the original space

        Parameters
        ----------

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Avoid too many return statements within this function.

Open

        return Categorical(dimension, **kwargs)

Avoid too many return statements within this function.

Open

            return Real(*dimension, **kwargs)

Avoid too many return statements within this function.

Open

    return obj

Avoid too many return statements within this function.

Open

        return (tuple(pd.util.hash_pandas_object(obj, index=True)), tuple(obj.columns))

Avoid too many return statements within this function.

Open

            return Real(*dimension, **kwargs)

Avoid too many return statements within this function.

Open

        return list(obj)

Avoid too many return statements within this function.

Open

            return Categorical(dimension, **kwargs)

Avoid too many return statements within this function.

Open

            return (key, value)

Function visit_feature_engineer has a Cognitive Complexity of 6 (exceeds 5 allowed). Consider refactoring.

Open

def visit_feature_engineer(path, key, value):
    """Helper to be used within a `visit` function intended for a `remap`-like function

    Parameters
    ----------

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Function get_keras_attr has a Cognitive Complexity of 6 (exceeds 5 allowed). Consider refactoring.

Open

def get_keras_attr(model, attr, max_depth=3, default=sentinel_default_value):
    """Retrieve specific Keras model attributes safely across different versions of Keras

    Parameters
    ----------

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Function __call__ has a Cognitive Complexity of 6 (exceeds 5 allowed). Consider refactoring.

Open

    def __call__(cls, *args, **kwargs):
        if getattr(G, "use_dummy_tracer", False) is True:
            space = (Real, Integer, Categorical)
            _args = [_ if not isinstance(_, space) else _.bounds[0] for _ in args]
            _kwargs = {k: v if not isinstance(v, space) else v.bounds[0] for k, v in kwargs.items()}

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Function __init__ has a Cognitive Complexity of 6 (exceeds 5 allowed). Consider refactoring.

Open

    def __init__(self, v_str: str):
        """Parse and compare HyperparameterHunter version strings

        Comparisons must be performed with a valid version string or another `HHVersion` instance.

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Function validate_keras_params has a Cognitive Complexity of 6 (exceeds 5 allowed). Consider refactoring.

Open

    def validate_keras_params(self):
        """Ensure provided input parameters are properly formatted"""
        #################### Check Keras Import Hooks ####################
        necessary_import_hooks = ["keras_layer"]
        for hook in necessary_import_hooks:

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Function add_time_to_content has a Cognitive Complexity of 6 (exceeds 5 allowed). Consider refactoring.

Open

def add_time_to_content(content, add_time=False):
    """Construct a string containing the original `content`, in addition to the current time

    Parameters
    ----------

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Function keras_initializer_to_dict has a Cognitive Complexity of 6 (exceeds 5 allowed). Consider refactoring.

Open

def keras_initializer_to_dict(initializer):
    try:
        #################### Descendants of `VarianceScaling` ####################
        previous_frame = getattr(initializer, "__hh_previous_frame")
    except AttributeError:

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Function evaluate has a Cognitive Complexity of 6 (exceeds 5 allowed). Consider refactoring.

Open

    def evaluate(self, data_type, target, prediction, return_list=False, dry_run=False):
        """Apply metric(s) to the given data to calculate the value of the `prediction`

        Parameters
        ----------

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Function evaluations_to_columns has a Cognitive Complexity of 6 (exceeds 5 allowed). Consider refactoring.

Open

def evaluations_to_columns(
    evaluation: Dict[str, Optional[OrderedDict]], decimals=10
) -> List[Tuple[str, Number]]:
    """Convert the results of :meth:`metrics.ScoringMixIn.evaluate` to a pd.DataFrame-ready format

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Function _set_direction has a Cognitive Complexity of 6 (exceeds 5 allowed). Consider refactoring.

Open

    def _set_direction(self, direction):
        """Ensure provided `direction` is valid and inferred if necessary

        Parameters
        ----------

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