/advancedscores.py (489636a0073e3dfe2bfd04ee893d609d304a8490) (1256 bytes) (mode 100644) (type blob)
# advancedscores.py
import numpy as np
################
#advanced scores
################
def adv_unified_risk_score(self):
#caching of all values in dictionaries
all_ccs_normalized = dict(self.redis.zrange(self.metric_prefix+'corrected_clustering_coefficient'+self.normalization_suffix, 0, -1, withscores=True, score_cast_func=float))
all_urs = dict(self.redis.zrange(self.score_prefix+'unified_risk_score', 0, -1, withscores=True, score_cast_func=float))
urs_percentile_10 = np.percentile(all_urs.values(), 10)
urs_percentile_90 = np.percentile(all_urs.values(), 90)
for node in self.nodes:
cc_normalized = all_ccs_normalized[str(node)]
urs = all_urs[str(node)]
if (urs >= urs_percentile_90 or urs <= urs_percentile_10):
if (cc_normalized >= 0.25):
advanced_unified_risk_score = ((urs * 3.0) + cc_normalized) / 4.0
else:
advanced_unified_risk_score = urs
else:
advanced_unified_risk_score = urs
#save for node
self.redis.hset(self.node_prefix+str(node), 'advanced_unified_risk_score', advanced_unified_risk_score)
#save for score
self.redis.zadd(self.score_prefix+'advanced_unified_risk_score', advanced_unified_risk_score, str(node))
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.gitignore |
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README.md |
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__init__.py |
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advancedscores.py |
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config.py |
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data |
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file_importer.py |
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graph tool test.py |
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indexing.py |
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log |
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metric_calculator.py |
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metrics.py |
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normalizations.py |
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pearson.py |
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start.py |
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statistics.py |
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