bay_set_model

Load the original D matrix data and train the model of bayesian network.

Syntax

bay_set_model(path, model_path)

Description

By using this function, input the D matrix data about the test indicators and faults, and this function will call the BayesianNetwork class in pgmpy to train the bayesian network model, and the model itself will be saved at the model_path, which is also an input argument.

Examples

​x
>>> import panda as pd
>>> import numpy as np
>>> import random
>>> from pgmpy.models import BayesianNetwork

>>> path = <your folder absolute path> + '/' + 'D_matrix.xlsx'
>>> model_path = <your folder absolute path> + '/' + 'model.xmlbif'
>>> bay_set_model(path, model_path)

Attention:

The generated pre-trained model will be saved at model_path, and an example contains the source D matrix data files and pre-trained models are also uploaded at Bayesian Net Download website.

Input Arguments

path —— A string. It is the path where the source D matrix data file is located. It is recommended to use the absolute path of this file, for the function doesn't handle the input path exactly.

model_path —— A string. It is the path where the trained bayesian network will be saved. It is recommended to use the absolute path of this file, for the function doesn't handle the input path exactly.

Properties of Arguments