Download all versions of pathogen JAR files with all dependencies
pathogen from group com.aamend.spark (version 1.0.1)
The rooster crows immediately before sunrise, the rooster causes the sun to rise.
Using GraphX to detect possible causes and effects between time related events.
We observe a true causation signal by generating random correlations
over same events at different time and back propagate these scores to
their most connected events. Finally, we extract the most probable causes and effects
together with a score of aggressiveness (how likely an event could explain downstream
effects) and sensitivity (how likely an event results from an upstream cause).
Artifact pathogen
Group com.aamend.spark
Version 1.0.1
Last update 14. July 2017
Tags: correlations using cause connected score rooster same together related over time scores results aggressiveness propagate event these sensitivity likely random effects extract causation probable explain causes immediately different events before most signal finally from crows possible upstream could rise between detect with true back generating graphx observe downstream sunrise their
Organization aamend.com
URL https://github.com/aamend/pathogen
License Apache License, version 2.0
Dependencies amount 2
Dependencies joda-time, scala-logging_2.11,
There are maybe transitive dependencies!
Group com.aamend.spark
Version 1.0.1
Last update 14. July 2017
Tags: correlations using cause connected score rooster same together related over time scores results aggressiveness propagate event these sensitivity likely random effects extract causation probable explain causes immediately different events before most signal finally from crows possible upstream could rise between detect with true back generating graphx observe downstream sunrise their
Organization aamend.com
URL https://github.com/aamend/pathogen
License Apache License, version 2.0
Dependencies amount 2
Dependencies joda-time, scala-logging_2.11,
There are maybe transitive dependencies!
pathogen from group com.aamend.spark (version 1.0)
The rooster crows immediately before sunrise, the rooster causes the sun to rise.
Using GraphX to detect possible causes and effects between time related events.
We observe a true causation signal by generating random correlations
over same events at different time and back propagate these scores to
their most connected events. Finally, we extract the most probable causes and effects
together with a score of aggressiveness (how likely an event could explain downstream
effects) and sensitivity (how likely an event results from an upstream cause).
Artifact pathogen
Group com.aamend.spark
Version 1.0
Last update 14. July 2017
Tags: correlations using cause connected score rooster same together related over time scores results aggressiveness propagate event these sensitivity likely random effects extract causation probable explain causes immediately different events before most signal finally from crows possible upstream could rise between detect with true back generating graphx observe downstream sunrise their
Organization aamend.com
URL https://github.com/aamend/pathogen
License Apache License, version 2.0
Dependencies amount 2
Dependencies joda-time, scala-logging_2.11,
There are maybe transitive dependencies!
Group com.aamend.spark
Version 1.0
Last update 14. July 2017
Tags: correlations using cause connected score rooster same together related over time scores results aggressiveness propagate event these sensitivity likely random effects extract causation probable explain causes immediately different events before most signal finally from crows possible upstream could rise between detect with true back generating graphx observe downstream sunrise their
Organization aamend.com
URL https://github.com/aamend/pathogen
License Apache License, version 2.0
Dependencies amount 2
Dependencies joda-time, scala-logging_2.11,
There are maybe transitive dependencies!
Page 1 from 1 (items total 2)
© 2015 - 2024 Weber Informatics LLC | Privacy Policy