Sign upLogin

Garve/scikit-bonus

View on GitHub
Star
skbonus/meta/_explainable_regressor.py

Summary

Maintainability
B
4 hrs
Test Coverage

File _explainable_regressor.py has 272 lines of code (exceeds 250 allowed). Consider refactoring.
Open

from __future__ import annotations

from typing import Any, Optional

import numpy as np
Severity: Minor
Found in skbonus/meta/_explainable_regressor.py - About 2 hrs to fix

    Function fit has a Cognitive Complexity of 12 (exceeds 5 allowed). Consider refactoring.
    Open

        def fit(
        self, X: np.ndarray, y: np.ndarray, sample_weight: np.ndarray = None
    ) -> ExplainableBoostingMetaRegressor:
        """
        Fit the model.
    Severity: Minor
    Found in skbonus/meta/_explainable_regressor.py - About 1 hr to fix

    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 5 arguments (exceeds 4 allowed). Consider refactoring.
    Open

        def __init__(
    Severity: Minor
    Found in skbonus/meta/_explainable_regressor.py - About 35 mins to fix

      There are no issues that match your filters.

      Category
      Status