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Social Cognitive Systems
PRIMO
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814eeea54511e3b550185ec840815221461ece05
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3
master
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protected
primo-legacy
variational-inference
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thesis-version
REFACTORING
FINAL-STATE-SEMINAR-392026-WS-2012
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Sep
add normalization when both joint probabilities = 0
variational-inf…
variational-inference
golden_section_search in seperate method
reformat
only use first node given, set variable_order parameter in returned factor
enable values with different naming
add static method returning a factor
add overwrite parameter to use cpd instead of jpd
seperate example and variational class,
add set_joint_probability
install experimental module for primogui compability
add pairwise normalization to calculate correctly normalized cpd
nullsave optimization function
remove useless import
allow dict as evidence enabling multiple nodes to be set to a value
add way to set joint probability within a node
simpler example
fix incorrect index
fix incorrect probability to compute joint probability
reformat file and change method parameter names for ease of understanding
add variational inference class with example
add example
add pycharm-folder to gitignore
bumbed version due to new changes
master
master
added experimental dseparation feature for gui and minimal changes to factor and order class
bumped version
reworked how gibbs transition handles stepbystep case for visualisation
fixed error with stepbystep gibbs transition
allowed mcmc to reuse an existing sample chain and fixed minor inconvenience errors
added conda recipe and fixed numpy and networkx debrecations
added changed required for the gui
Added contents
Added install instructions
cleanup old, unused files and get examples to run under python 2 and 3 (#28)
added ability to write DBNs primarily for the primoGUI (#27)
DecisionNetworks (#26)
Merge pull request #24 from jpoeppel/change_node_name_fix
removed debug print
fixed error in changing node names and used Kolja Berger's PEP8 improvements
Merge pull request #23 from jpoeppel/networkx2
added small comment
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