The Sdc2Scorer class¶
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class
ska_sdc.sdc2.sdc2_scorer.Sdc2Scorer(cat_sub, cat_truth)¶ The SDC2 scorer class.
Parameters: - cat_sub (
pandas.DataFrame) – The submission catalogue. - cat_truth (
pandas.DataFrame) – The truth catalogue.
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classmethod
from_txt(sub_path, truth_path, sub_skiprows=0, truth_skiprows=0)¶ Create an SDC2 scorer class from two source catalogues in text format.
The catalogues must have a header row of column names that matches the expected column names in the config file.
Parameters: - sub_path (
str) – Path to the submission catalogue. - truth_path (
str) – Path to the truth catalogue. - sub_skiprows (
int, optional) – Number of rows to skip in submission catalogue. Defaults to 0. - truth_skiprows (
int, optional) – Number of rows to skip in truth catalogue. Defaults to 0.
- sub_path (
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run(train=False, detail=False)¶ Run the scoring pipeline.
Returns: The calculated SDC2 score object Return type: ska_sdc.sdc2.models.sdc2_score.Sdc2Score
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score¶ Get the resulting Sdc2Score object.
Returns: The calculated SDC2 score object Return type: ska_sdc.sdc2.models.sdc2_score.Sdc2Score
- cat_sub (