The Sdc1Scorer class¶

class ska_sdc.sdc1.sdc1_scorer.Sdc1Scorer(sub_df, truth_df, freq)¶

The SDC1 scorer class.

Parameters:	sub_df (`pandas.DataFrame`) – The submission catalogue DataFrame of detected sources and properties truth_path (`pandas.DataFrame`) – The truth catalogue DataFrame freq (`int`) – Image frequency band (560, 1400 or 9200 MHz)

classmethod from_txt(sub_path, truth_path, freq, sub_skiprows=1, truth_skiprows=0)¶

Create an SDC1 scorer class from two source catalogues in text format.

Parameters:

sub_path (str) – The path of the submission catalogue of detected sources and properties
truth_path (str) – The path of the truth catalogue
freq (int) – Image frequency band (560, 1400 or 9200 MHz)
sub_skiprows (int, optional) – Number of rows to skip in submission catalogue. Defaults to 1.
truth_skiprows (int, optional) – Number of rows to skip in truth catalogue. Defaults to 0.

run(mode=0, train=False, detail=False)¶

Run the scoring pipeline.

Parameters:

mode (int, optional) – 0 or 1 to use core or centroid positions for scoring
train (bool, optional) – If True, will only evaluate score based on training area, else will exclude training area
detail (bool, optional) – If True, will return the catalogue of matches and per source scores.

Returns:

Return type:

score¶

Get the resulting Sdc1Score object.

Returns:	The calculated SDC1 score object
Return type:	`ska_sdc.sdc1.models.sdc1_score.Sdc1Score`