pred_cluster_sizes_from_table#
- er_evaluation.error_analysis.pred_cluster_sizes_from_table(error_table)[source]#
Compute predicted cluster sizes from record error table.
- Parameters:
error_table (DataFrame) – Record error table.
- Returns:
Predicted cluster sizes for each reference cluster.
- Return type:
Series
Examples
>>> prediction = pd.Series(index=[1,2,3,4,5,6,7,8], data=[1,1,2,3,2,4,4,4]) >>> sample = pd.Series(index=[1,2,3,4,5,6,7], data=["c1", "c1", "c1", "c2", "c2", "c3", "c3"]) >>> error_table = record_error_table(prediction, sample) >>> pred_cluster_sizes_from_table(error_table) reference c1 2.0 c2 1.5 c3 3.0 Name: pred_cluster_size, dtype: float64