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      README.rst

@ -18,9 +18,11 @@ Implementing your own data importer
| This example demonstrates the implementation of a simple data importer the extends the class AbstractImporter
| to import data in csv format. The net in exam has three ternary nodes and no prior net structure.
| Suppose the trajectories that have to be inported have this structure:
.. image:: docs-out/esempio_dataset.png
:width: 600
:alt: An example trajectory to be imported.
| In the read_csv_file method the data are imported in memory, put in a list and assigned to the _df_samples_list class
| member, so that it contains all the trajectories to be processed.
| In the import_variables method the dataframe containing the nodes labels and the cardinalities of the nodes
@ -82,45 +84,6 @@ Implementing your own data importer
#...and the Structure object with all the process data
s1.build_structure()
Parameters Estimation Example
*****************************
.. code-block:: python
from PyCTBN import JsonImporter
from PyCTBN import SamplePath
from PyCTBN import NetworkGraph
from PyCTBN import ParametersEstimator
def main():
read_files = glob.glob(os.path.join('./data', "*.json")) #Take all json files in this dir
#import data
importer = JsonImporter(read_files[0], 'samples', 'dyn.str', 'variables', 'Time', 'Name')
importer.import_data(0)
#Create a SamplePath Obj passing an already filled AbstractImporter object
s1 = SamplePath(importer)
#Build The trajectries and the structural infos
s1.build_trajectories()
s1.build_structure()
print(s1.structure.edges)
print(s1.structure.nodes_values)
#From The Structure Object build the Graph
g = NetworkGraph(s1.structure)
#Select a node you want to estimate the parameters
node = g.nodes[2]
print("Node", node)
#Init the _graph specifically for THIS node
g.fast_init(node)
#Use SamplePath and Grpah to create a ParametersEstimator Object
p1 = ParametersEstimator(s1.trajectories, 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)
Structure Estimation Examples
****************************
| This example shows how to estimate the structure given a series of trajectories using a constraint based approach.