parent
59de299053
commit
c6a19ea86a
@ -0,0 +1,41 @@ |
|||||||
|
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 |
||||||
|
|
||||||
|
# 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 |
||||||
|
print(ng.dyn_str) |
||||||
|
e1 = JsonExporter(ng.variables, ng.dyn_str, ng.dyn_cims) |
||||||
|
tg = TrajectoryGenerator(variables = ng.variables, dyn_str = ng.dyn_str, dyn_cims = ng.dyn_cims) |
||||||
|
sigma = tg.CTBN_Sample(max_tr = 10) |
||||||
|
e1.add_trajectory(tg.to_json()) |
||||||
|
e1.out_json("example.json") |
||||||
|
|
||||||
|
# Network Estimation (Constraint Based) |
||||||
|
importer = JsonImporter(file_path="example.json", samples_label='samples', |
||||||
|
structure_label='dyn.str', variables_label='variables', |
||||||
|
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) |
||||||
|
se1.save_plot_estimated_structure_graph('./result.png') |
||||||
|
print(se1.adjacency_matrix()) |
||||||
|
print(edges) |
Reference in new issue