Injection automation #141
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Injection automation #141
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added 30 commits
January 31, 2023 15:41
Anmol-Srivastava
requested changes
Mar 17, 2023
| import noise | ||
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| def select_random_classes(series): |
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This could use a docstring describing the function with a section for arguments and return value
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| import matplotlib.pyplot as plt | |||
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A top-level docstring describing what this module is for in a short line or so would be helpful
| return [class_a, class_b] | ||
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| class InjectionTesting: |
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Same thing here, a docstring which can be modeled after the docstrings in any of the detectors e.g. KdqTreeBatch
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| return [start_row, end_row] | ||
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| def train_linear_model(self, x_cols=None, y_col=None, start=0, end=0.75): |
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Docstring for summary, arguments, output
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It also looks like the GitHub checks are failing because of tests not passing / non-100% coverage and linting/security steps missing. |
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