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comparison python/indicators.py @ 369:027e254f0b53

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lcss subclass for indicators
author Nicolas Saunier <nicolas.saunier@polymtl.ca>
date Mon, 15 Jul 2013 16:47:09 -0400
parents 2db4e76599a1
children 97e8fa0ee9a1
comparison
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368:2db4e76599a1 369:027e254f0b53
101 if x == None or y == None: 101 if x == None or y == None:
102 return float('inf') 102 return float('inf')
103 else: 103 else:
104 return abs(x-y) 104 return abs(x-y)
105 105
106 # non-aligned LCSS computations, ok for delta = inf 106 from utils import LCSS as utilsLCSS
107 def computeLCSS(indicator1, indicator2, threshold, delta = float('inf')): 107
108 ''' compute the LCSS between two indicators using LCSS''' 108 class LCSS(utilsLCSS):
109 from utils import LCSS 109 '''Adapted LCSS class for indicators, same pattern'''
110 if indicator1 and indicator2: 110 def __init__(self, threshold, delta = float('inf'), aligned = False, lengthFunc = min):
111 return LCSS(indicator1.getValues(), indicator2.getValues(), lambda x,y: (distanceForLCSS(x,y) <= threshold), delta) 111 utilsLCSS.__init__(self, lambda x,y: (distanceForLCSS(x,y) <= threshold), delta, aligned, lengthFunc)
112 else: 112
113 return 0 113 def get(self, indicator1, indicator2):
114 114 if indicator1 and indicator2:
115 def computeNormalizedLCSS(indicator1, indicator2, threshold, delta = float('inf'), method= min): 115 return self.compute(indicator1.getValues(), indicator2.getValues())
116 ''' compute the normalized LCSS between two indicators using LCSS 116 else:
117 ie, the LCSS divided by the min or mean of the indicator lengths''' 117 return 0
118 from utils import normalizedLCSS 118
119 if indicator1 and indicator2: 119 def getNormalized(self, indicator1, indicator2):
120 return normalizedLCSS(indicator1.getValues(), indicator2.getValues(), lambda x,y: (distanceForLCSS(x,y) <= threshold), delta, method) 120 if indicator1 and indicator2:
121 else: 121 return self.computeNormalized(indicator1.getValues(), indicator2.getValues())
122 return 0. 122 else:
123 123 return 0.
124 def computeDLCSS(indicator1, indicator2, threshold, delta = float('inf'), method = min): 124
125 ''' compute the LCSS distance between two indicators using LCSS''' 125 def getDistance(self, indicator1, indicator2):
126 from utils import DLCSS 126 if indicator1 and indicator2:
127 if indicator1 and indicator2: 127 return self.computeDistance(indicator1.getValues(), indicator2.getValues())
128 return DLCSS(indicator1.getValues(), indicator2.getValues(), lambda x,y: (distanceForLCSS(x,y) <= threshold), delta, method) 128 else:
129 else: 129 return 1.
130 return 1. 130
131
132 # aligned LCSS computations
133 def computeAlignedLCSS(indicator1, indicator2, threshold, delta = float('inf')):
134 ''' compute the aligned LCSS between two indicators using LCSS'''
135 from utils import alignedLCSS
136 if indicator1 and indicator2:
137 return alignedLCSS(indicator1.getValues(), indicator2.getValues(), lambda x,y: (distanceForLCSS(x,y) <= threshold), delta)
138 else:
139 return 0
140
141 def computeNormalizedAlignedLCSS(indicator1, indicator2, threshold, delta = float('inf'), method= min):
142 ''' compute the normalized aligned LCSS between two indicators using LCSS
143 ie, the LCSS divided by the min or mean of the indicator lengths'''
144 from utils import normalizedAlignedLCSS
145 if indicator1 and indicator2:
146 return normalizedAlignedLCSS(indicator1.getValues(), indicator2.getValues(), lambda x,y: (distanceForLCSS(x,y) <= threshold), delta, method)
147 else:
148 return 0.
149
150 def computeAlignedDLCSS(indicator1, indicator2, threshold, delta = float('inf'), method = min):
151 ''' compute the aligned LCSS distance between two indicators using LCSS'''
152 from utils import alignedDLCSS
153 if indicator1 and indicator2:
154 return alignedDLCSS(indicator1.getValues(), indicator2.getValues(), lambda x,y: (distanceForLCSS(x,y) <= threshold), delta, method)
155 else:
156 return 1.
157 131
158 class SeverityIndicator(TemporalIndicator): 132 class SeverityIndicator(TemporalIndicator):
159 '''Class for severity indicators 133 '''Class for severity indicators
160 field mostSevereIsMax is True 134 field mostSevereIsMax is True
161 if the most severe value taken by the indicator is the maximum''' 135 if the most severe value taken by the indicator is the maximum'''