Package | Description |
---|---|
eu.h2020.helios_social.modules.socialgraphmining.experiments.simulation | |
eu.h2020.helios_social.modules.socialgraphmining.measures |
Modifier and Type | Class | Description |
---|---|---|
class |
PeriodicReport |
Modifier and Type | Method | Description |
---|---|---|
Measure |
Simulation.run(mklab.JGNN.datasets.Dataset dataset,
Measure measure) |
Modifier and Type | Method | Description |
---|---|---|
Measure |
Simulation.run(mklab.JGNN.datasets.Dataset dataset,
Measure measure) |
Constructor | Description |
---|---|
PeriodicReport(Measure measure) |
|
PeriodicReport(Measure measure,
int interval) |
Modifier and Type | Class | Description |
---|---|---|
class |
Accumulate |
This
Measure is used to average the outcome of a base measure over given frames of time. |
class |
Average |
This
Measure is used to average the outcome of a base measure over all frames of time
(is a computationally tractable version of Accumulate for infinite memory. |
class |
DiscoveryExactRank |
|
class |
DiscoveryRank |
|
class |
HitRate |
This
Measure provides a HitRate@k evaluation, which measures whether the occurred interactions lie among the top k recommendations
provided by SocialGraphMiner.recommendInteractions(Context) . |
Constructor | Description |
---|---|
Accumulate(Measure baseMeasure) |
|
Accumulate(Measure baseMeasure,
int memory) |
|
Average(Measure baseMeasure) |