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pyod/models/rgraph.py

Summary

Maintainability
B
6 hrs
Test Coverage

File rgraph.py has 423 lines of code (exceeds 250 allowed). Consider refactoring.
Wontfix

# -*- coding: utf-8 -*-
""" R-graph

"""
# Author: Michiel Bongaerts (but not author of the R-graph method)
Severity: Minor
Found in pyod/models/rgraph.py - About 6 hrs to fix

    Function elastic_net_subspace_clustering has a Cognitive Complexity of 29 (exceeds 5 allowed). Consider refactoring.
    Wontfix

        def elastic_net_subspace_clustering(self, X, gamma=50.0, gamma_nz=True,
                                        tau=1.0, algorithm='lasso_lars',
                                        fit_intercept_LR=False,
                                        active_support=True,
                                        active_support_params=None,
    Severity: Minor
    Found in pyod/models/rgraph.py - About 4 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

    Function decision_function has a Cognitive Complexity of 18 (exceeds 5 allowed). Consider refactoring.
    Open

        def decision_function(self, X):
        """Predict raw anomaly score of X using the fitted detector.

        The anomaly score of an input sample is computed based on different
        detector algorithms. For consistency, outliers are assigned with
    Severity: Minor
    Found in pyod/models/rgraph.py - About 2 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

    Function __init__ has 16 arguments (exceeds 4 allowed). Consider refactoring.
    Wontfix

        def __init__(self, transition_steps=10, n_nonzero=10, gamma=50.0,
    Severity: Major
    Found in pyod/models/rgraph.py - About 2 hrs to fix

      Function active_support_elastic_net has a Cognitive Complexity of 14 (exceeds 5 allowed). Consider refactoring.
      Open

          def active_support_elastic_net(self, X, y, alpha, tau=1.0,
                                   algorithm='lasso_lars', support_init='L2',
                                   support_size=100, maxiter=40,
                                   maxiter_lasso=1000):
        """
      Severity: Minor
      Found in pyod/models/rgraph.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 elastic_net_subspace_clustering has 10 arguments (exceeds 4 allowed). Consider refactoring.
      Open

          def elastic_net_subspace_clustering(self, X, gamma=50.0, gamma_nz=True,
      Severity: Major
      Found in pyod/models/rgraph.py - About 1 hr to fix

        Function active_support_elastic_net has 9 arguments (exceeds 4 allowed). Consider refactoring.
        Open

            def active_support_elastic_net(self, X, y, alpha, tau=1.0,
        Severity: Major
        Found in pyod/models/rgraph.py - About 1 hr to fix

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