Delete example.py

example.py

@@ -1,41 +0,0 @@
-from PyCTBN.PyCTBN.structure_graph.trajectory_generator import TrajectoryGenerator
-from PyCTBN.PyCTBN.structure_graph.network_generator import NetworkGenerator
-from PyCTBN.PyCTBN.utility.json_importer import JsonImporter
-from PyCTBN.PyCTBN.utility.json_exporter import JsonExporter
-from PyCTBN.PyCTBN.structure_graph.structure import Structure
-from PyCTBN.PyCTBN.structure_graph.sample_path import SamplePath
-from PyCTBN.PyCTBN.estimators.structure_constraint_based_estimator import StructureConstraintBasedEstimator
-
-def main():
-    # Network Generation
-    labels = ["X", "Y", "Z"]
-    card = 3
-    vals = [card for l in labels]
-    cim_min = 1
-    cim_max = 3
-    ng = NetworkGenerator(labels, vals)
-    ng.generate_graph(0.3)
-    ng.generate_cims(cim_min, cim_max)
-
-    # Trajectory Generation
-    e1 = JsonExporter(ng.variables, ng.dyn_str, ng.cims)
-    tg = TrajectoryGenerator(variables = ng.variables, dyn_str = ng.dyn_str, dyn_cims = ng.cims)
-    sigma = tg.CTBN_Sample(max_tr = 30000)
-    e1.add_trajectory(sigma)
-    e1.out_file("example.json")
-
-    # Network Estimation (Constraint Based)
-    importer = JsonImporter(file_path = "example.json", samples_label = "samples",
-                            structure_label = "dyn.str", variables_label = "variables",
-                            cims_label = "dyn.cims", time_key = "Time", 
-                            variables_key = "Name")
-    importer.import_data(0)
-    s1 = SamplePath(importer=importer)
-    s1.build_trajectories()
-    s1.build_structure()
-    se1 = StructureConstraintBasedEstimator(sample_path=s1, exp_test_alfa=0.1, chi_test_alfa=0.1,
-                                            known_edges=[], thumb_threshold=25)
-    edges = se1.estimate_structure(True)
-
-if __name__ == "__main__":
-    main()