embiggen/edge_prediction/sklearn_like_edge_prediction_adapter.py
File sklearn_like_edge_prediction_adapter.py
has 535 lines of code (exceeds 250 allowed). Consider refactoring. Open
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"""Module providing adapter class making edge prediction possible in sklearn models."""
from typing import Type, List, Optional, Dict, Any, Union, Tuple
import numpy as np
import math
import compress_pickle
Function _trasform_graph_into_edge_embedding
has a Cognitive Complexity of 18 (exceeds 5 allowed). Consider refactoring. Open
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def _trasform_graph_into_edge_embedding(
self,
graph: Union[Graph, Tuple[np.ndarray]],
node_features: List[np.ndarray],
support: Graph,
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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 _trasform_graph_into_edge_embedding
has 8 arguments (exceeds 4 allowed). Consider refactoring. Open
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def _trasform_graph_into_edge_embedding(
Function __init__
has 7 arguments (exceeds 4 allowed). Consider refactoring. Open
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def __init__(
Function _predict
has 7 arguments (exceeds 4 allowed). Consider refactoring. Open
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def _predict(
Function _fit
has 7 arguments (exceeds 4 allowed). Consider refactoring. Open
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def _fit(
Function _predict_proba
has 7 arguments (exceeds 4 allowed). Consider refactoring. Open
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def _predict_proba(