Showing 27 of 27 total issues
File ensemble.py has 372 lines of code (exceeds 250 allowed). Consider refactoring. Open
"""BayesianTargetEstimator.
Ensemble estimator that creates multiple models through sampling.
"""
File encoder.py has 335 lines of code (exceeds 250 allowed). Consider refactoring. Open
"""Bayesian target encoder."""
import logging
from typing import Callable, ClassVar, List, Optional, Tuple, Union
Function fit has a Cognitive Complexity of 23 (exceeds 5 allowed). Consider refactoring. Open
def fit(
self,
X,
y,
categorical_feature: Union[List[str], List[int], str] = "auto",- Read upRead up
Cognitive Complexity
Cognitive Complexity is a measure of how difficult a unit of code is to intuitively understand. Unlike Cyclomatic Complexity, which determines how difficult your code will be to test, Cognitive Complexity tells you how difficult your code will be to read and comprehend.
A method's cognitive complexity is based on a few simple rules:
- Code is not considered more complex when it uses shorthand that the language provides for collapsing multiple statements into one
- Code is considered more complex for each "break in the linear flow of the code"
- Code is considered more complex when "flow breaking structures are nested"
Further reading
Function _encode_level has a Cognitive Complexity of 16 (exceeds 5 allowed). Consider refactoring. Open
def _encode_level(mask, dist, sample, params, random_state):
"""Encode a given level.
Parameters
----------- Read upRead up
Cognitive Complexity
Cognitive Complexity is a measure of how difficult a unit of code is to intuitively understand. Unlike Cyclomatic Complexity, which determines how difficult your code will be to test, Cognitive Complexity tells you how difficult your code will be to read and comprehend.
A method's cognitive complexity is based on a few simple rules:
- Code is not considered more complex when it uses shorthand that the language provides for collapsing multiple statements into one
- Code is considered more complex for each "break in the linear flow of the code"
- Code is considered more complex when "flow breaking structures are nested"
Further reading
Function init_model has a Cognitive Complexity of 12 (exceeds 5 allowed). Consider refactoring. Open
def init_model(algorithm: str, metadata: Dict, seed: int = 42):
"""Initialize a model object.
Parameters
----------- Read upRead up
Cognitive Complexity
Cognitive Complexity is a measure of how difficult a unit of code is to intuitively understand. Unlike Cyclomatic Complexity, which determines how difficult your code will be to test, Cognitive Complexity tells you how difficult your code will be to read and comprehend.
A method's cognitive complexity is based on a few simple rules:
- Code is not considered more complex when it uses shorthand that the language provides for collapsing multiple statements into one
- Code is considered more complex for each "break in the linear flow of the code"
- Code is considered more complex when "flow breaking structures are nested"
Further reading
Function __init__ has 9 arguments (exceeds 4 allowed). Consider refactoring. Open
def __init__(Function init_encoder has a Cognitive Complexity of 10 (exceeds 5 allowed). Consider refactoring. Open
def init_encoder(algorithm: str, metadata: Dict, residual: bool = False):
"""Initialize a categorical encoder.
Parameters
----------- Read upRead up
Cognitive Complexity
Cognitive Complexity is a measure of how difficult a unit of code is to intuitively understand. Unlike Cyclomatic Complexity, which determines how difficult your code will be to test, Cognitive Complexity tells you how difficult your code will be to read and comprehend.
A method's cognitive complexity is based on a few simple rules:
- Code is not considered more complex when it uses shorthand that the language provides for collapsing multiple statements into one
- Code is considered more complex for each "break in the linear flow of the code"
- Code is considered more complex when "flow breaking structures are nested"
Further reading
Function gen_flow has 8 arguments (exceeds 4 allowed). Consider refactoring. Open
def gen_flow(Function transform has a Cognitive Complexity of 9 (exceeds 5 allowed). Consider refactoring. Open
def transform(self, X):
"""Transform the input dataset.
Parameters
----------- Read upRead up
Cognitive Complexity
Cognitive Complexity is a measure of how difficult a unit of code is to intuitively understand. Unlike Cyclomatic Complexity, which determines how difficult your code will be to test, Cognitive Complexity tells you how difficult your code will be to read and comprehend.
A method's cognitive complexity is based on a few simple rules:
- Code is not considered more complex when it uses shorthand that the language provides for collapsing multiple statements into one
- Code is considered more complex for each "break in the linear flow of the code"
- Code is considered more complex when "flow breaking structures are nested"
Further reading
Function _sample_and_fit has 7 arguments (exceeds 4 allowed). Consider refactoring. Open
def _sample_and_fit(Function compare has 7 arguments (exceeds 4 allowed). Consider refactoring. Open
def compare(dataset, algorithm, encoder, n_estimators, seeds, marginal, residual):Function __init__ has 7 arguments (exceeds 4 allowed). Consider refactoring. Open
def __init__(Function __init__ has 6 arguments (exceeds 4 allowed). Consider refactoring. Open
def __init__(Function train has 6 arguments (exceeds 4 allowed). Consider refactoring. Open
def train(Function fit_encoder has 6 arguments (exceeds 4 allowed). Consider refactoring. Open
def fit_encoder(Function _encode_level has 5 arguments (exceeds 4 allowed). Consider refactoring. Open
def _encode_level(mask, dist, sample, params, random_state):Avoid too many return statements within this function. Open
return np.sum(mask) * alpha + params[0], 0, params[2] / (1 + np.sum(y[mask]))Avoid too many return statements within this function. Open
return BayesianTargetEncoder(dist="normal", chunksize=300)Avoid too many return statements within this function. Open
return BayesianTargetEncoder(dist=metadata["dist"], chunksize=300)Avoid too many return statements within this function. Open
return y.shape[0] * alpha, 0, np.sum(y)