Delete 'TSPerformanceMeasure.py'

TSPerformanceMeasure.py

@@ -1,61 +0,0 @@
-def overlapintervals(i1, i2):
-    """
-    Calculate intersection of two lists of intervals.
-
-    :param i1: list of intervals
-    :param i2: list of intervals
-
-    :return: list of intervals with overlap of both intervals only
-    """
-    ollist = []
-    for i in i1:
-        for j in i2:
-            if j[0] < i[0]+i[1] and j[0]+j[1] > i[0]:
-                ollist += [[max(i[0], j[0]),
-                            min(i[0]+i[1], j[0]+j[1])-max(i[0], j[0])]]
-    return ollist
-
-
-
-def calcPrecisionRecall(detection, groundtruth, setlength):
-    """
-    Calculated precision and recall for intervals in time series
-
-    :param detection: array with detected intervals
-    :param groundtruth: array with ground truth
-    :param setlength: length of time series
-
-    :return: precision, recall
-    """
-    import numpy as np
-
-
-    if len(groundtruth) == 0 and len(detection) == 0:
-        precision = 1
-        recall = 1
-    else:
-        # Turn detection into array
-        detArray = IntervalsToBinary(detection, setlength)
-        gtArray = IntervalsToBinary(groundtruth, setlength)
-        if np.sum(gtArray) == 0:
-            gtArray = -1 * (gtArray - 1)
-            detArray = -1*(detArray-1)
-
-        unique, counts = np.unique(detArray+gtArray, return_counts=True)
-        countvalues = dict(zip(unique, counts))
-        tp = countvalues[2] if 2 in countvalues else 0
-        tn = countvalues[0] if 0 in countvalues else 0
-
-        unique, counts = np.unique(detArray-gtArray, return_counts=True)
-        countvalues = dict(zip(unique, counts))
-        fp = countvalues[1] if 1 in countvalues else 0
-
-        unique, counts = np.unique(gtArray-detArray, return_counts=True)
-        countvalues = dict(zip(unique, counts))
-        fn = countvalues[1] if 1 in countvalues else 0
-
-        precision = tp / (tp + fp) if tp + fp > 0 else 0
-        recall = tp / (fn + tp) if tp + fn > 0 else 0
-
-    #print(detection, groundtruth, precision, recall)
-    return precision, recall