Old engine for Continuous Time Bayesian Networks. Superseded by reCTBN. 🐍
https://github.com/madlabunimib/PyCTBN
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77 lines
2.6 KiB
77 lines
2.6 KiB
import abstract_sample_path as asam
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import json_importer as imp
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import structure as st
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import trajectory as tr
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class SamplePath(asam.AbstractSamplePath):
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"""
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Aggregates all the informations about the trajectories, the real structure of the sampled net and variables
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cardinalites.
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Has the task of creating the objects that will contain the mentioned data.
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:importer: the Importer objects that will import ad process data
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:trajectories: the Trajectory object that will contain all the concatenated trajectories
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:structure: the Structure Object that will contain all the structurral infos about the net
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:total_variables_count: the number of variables in the net
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"""
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#def __init__(self, files_path: str, samples_label: str, structure_label: str, variables_label: str, time_key: str,
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#variables_key: str):
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def __init__(self, importer: imp.JsonImporter):
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#self.importer =importer
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super().__init__(importer)
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#self._trajectories = None
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#self._structure = None
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self.total_variables_count = None
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def build_trajectories(self):
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"""
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Builds the Trajectory object that will contain all the trajectories.
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Clears all the unused dataframes in Importer Object
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Parameters:
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void
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Returns:
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void
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"""
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self.importer.import_data()
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self._trajectories = \
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tr.Trajectory(self.importer.build_list_of_samples_array(self.importer.concatenated_samples),
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len(self.importer.sorter) + 1)
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#self.trajectories.append(trajectory)
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self.importer.clear_concatenated_frame()
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def build_structure(self):
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"""
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Builds the Structure object that aggregates all the infos about the net.
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Parameters:
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void
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Returns:
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void
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"""
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self.total_variables_count = len(self.importer.sorter)
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labels = self.importer.variables[self.importer.variables_key].to_list()
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#print("SAMPLE PATH LABELS",labels)
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indxs = self.importer.variables.index.to_numpy()
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vals = self.importer.variables['Value'].to_numpy()
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edges = list(self.importer.structure.to_records(index=False))
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self._structure = st.Structure(labels, indxs, vals, edges,
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self.total_variables_count)
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@property
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def trajectories(self):
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return self._trajectories
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@property
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def structure(self):
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return self._structure
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def total_variables_count(self):
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return self.total_variables_count
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