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MushroomRL/mushroom-rl

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mushroom_rl/approximators/parametric/torch_approximator.py

Summary

Maintainability
A
0 mins
Test Coverage
B
83%

Function fit has a Cognitive Complexity of 36 (exceeds 5 allowed). Consider refactoring.
Wontfix

    def fit(self, *args, n_epochs=None, weights=None, epsilon=None, patience=1, validation_split=1., **kwargs):
        """
        Fit the model.

        Args:
Severity: Minor
Found in mushroom_rl/approximators/parametric/torch_approximator.py - About 5 hrs 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

File torch_approximator.py has 295 lines of code (exceeds 250 allowed). Consider refactoring.
Wontfix

import torch
import numpy as np
from tqdm import trange, tqdm

from mushroom_rl.core import Serializable
Severity: Minor
Found in mushroom_rl/approximators/parametric/torch_approximator.py - About 3 hrs to fix

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