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PyCTBN
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Filippo Martini 4 years ago
parent d2c7577e94
commit 8546e8bc81
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      PyCTBN/basic_main.py

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PyCTBN/basic_main.py
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import glob
import os
import sys
sys.path.append("./PyCTBN/")
import structure_graph.network_graph as ng
import structure_graph.sample_path as sp
import structure_graph.set_of_cims as sofc
import estimators.parameters_estimator as pe
import utility.json_importer as ji
def main():
read_files = glob.glob(os.path.join('./data', "*.json")) #Take all json files in this dir
#import data
importer = ji.JsonImporter(read_files[0], 'samples', 'dyn.str', 'variables', 'Time', 'Name')
#Create a SamplePath Obj
s1 = sp.SamplePath(importer)
#Build The trajectries and the structural infos
s1.build_trajectories()
s1.build_structure()
#From The Structure Object build the Graph
g = ng.NetworkGraph(s1.structure)
#Select a node you want to estimate the parameters
node = g.nodes[1]
#Init the graph specifically for THIS node
g.fast_init(node)
#Use SamplePath and Grpah to create a ParametersEstimator Object
p1 = pe.ParametersEstimator(s1, g)
#Init the peEst specifically for THIS node
p1.fast_init(node)
#Compute the parameters
sofc1 = p1.compute_parameters_for_node(node)
#The est CIMS are inside the resultant SetOfCIms Obj
print(sofc1.actual_cims)
if __name__ == "__main__":
main()