The Sdc1Score class¶
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class
ska_sdc.sdc1.models.sdc1_score.
Sdc1Score
(mode=0, train=False, detail=False)¶ Simple data container class for collating data relating to an SDC1 score.
This is created by the SDC1 Scorer’s run method.
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acc_pc
¶ The average score per match (%).
Returns: float64
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detail
¶ If True, has returned the catalogue of matches and per source scores.
Returns: bool
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match_df
¶ Dataframe of matched sources.
Returns: pandas.DataFrame
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mode
¶ The position used for scoring (0==core, 1==centroid)
Returns: int
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n_bad
¶ Number of candidate matches rejected during data cleansing.
Returns: int
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n_det
¶ The total number of detected sources in the submission.
Returns: int
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n_false
¶ Number of false detections.
Returns: int
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n_match
¶ Number of candidate matches below threshold.
Returns: int
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score_det
¶ The sum of the scores.
Returns: float64
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scores_df
¶ Dataframe containing the scores.
Returns: pandas.DataFrame
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train
¶ If True, has evaluated score based on training area, else excludes training area.
Returns: bool
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value
¶ The score for the last run.
Returns: float64
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