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oujago/NumpyDL

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npdl/model.py

Summary

Maintainability
B
4 hrs
Test Coverage

Function fit has a Cognitive Complexity of 22 (exceeds 5 allowed). Consider refactoring.
Open

    def fit(self, X, Y, max_iter=100, batch_size=64, shuffle=True,
            validation_split=0., validation_data=None, file=sys.stdout):

        # prepare data
        train_X = X.astype(get_dtype()) if np.issubdtype(np.float64, X.dtype) else X
Severity: Minor
Found in npdl/model.py - About 3 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 fit has 8 arguments (exceeds 4 allowed). Consider refactoring.
Open

    def fit(self, X, Y, max_iter=100, batch_size=64, shuffle=True,
Severity: Major
Found in npdl/model.py - About 1 hr to fix

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