Subject | Hash | Author | Date (UTC) |
---|---|---|---|
Fix redis DB configuration | 5ccfec34b4bcb3323071ea5667da2a375e219a3e | Vasilis Ververis | 2017-04-10 19:42:42 |
Fix redis DB in config | dffd5d2deb0c5d8043ff43fc3fe6cb1efd3bc990 | Vasilis Ververis | 2017-04-10 10:23:15 |
Set proper host address to redis, remove extra spaces, set ff to unix | dd87734e46d0756f7d7f48b5de5591ffd487c8ab | Vasilis Ververis | 2017-04-04 22:48:03 |
Add redis conf, datasets, gitignore, convert files | 34fd00db0525b875e2f9afbe5a10af28fe06b03b | Vasilis Ververis | 2017-03-16 09:52:30 |
Commig | cdebeb923331f9081529a023c00cb1f0543e3d55 | Mathias Ehlert | 2014-12-07 16:07:08 |
File | Lines added | Lines deleted |
---|---|---|
metric_calculator.py | 1 | 1 |
pearson.py | 1 | 1 |
File metric_calculator.py changed (mode: 100644) (index cb5b831..ae40725) | |||
... | ... | class MetricCalculator(object): | |
17 | 17 | print ('Starting metric_calculator!') | print ('Starting metric_calculator!') |
18 | 18 | self.graph = graph | self.graph = graph |
19 | 19 | self.graph_gt = graph_gt | self.graph_gt = graph_gt |
20 | self.redis = rd.StrictRedis(host=config.REDIS_HOST, port=config.REDIS_PORT, db=REDIS_DB) | ||
20 | self.redis = rd.StrictRedis(host=config.REDIS_HOST, port=config.REDIS_PORT, db=config.REDIS_DB) | ||
21 | 21 | # self.graph_gt_labels = graph_gt_labels | # self.graph_gt_labels = graph_gt_labels |
22 | 22 | self.nodes = nx.nodes(graph) | self.nodes = nx.nodes(graph) |
23 | 23 |
File pearson.py changed (mode: 100644) (index 25265af..32abe33) | |||
... | ... | metrics = ['clustering_coefficient', | |
13 | 13 | 'corrected_average_neighbor_degree', | 'corrected_average_neighbor_degree', |
14 | 14 | 'corrected_iterated_average_neighbor_degree'] | 'corrected_iterated_average_neighbor_degree'] |
15 | 15 | ||
16 | rdb = rd.StrictRedis(host=config.REDIS_HOST, port=config.REDIS_PORT, db=REDIS_DB) | ||
16 | rdb = rd.StrictRedis(host=config.REDIS_HOST, port=config.REDIS_PORT, db=config.REDIS_DB) | ||
17 | 17 | ||
18 | 18 | ||
19 | 19 | correlations = {} | correlations = {} |