Hello,
I need a node type that can take continuous values from -10 to 10.
i am unable to figure out how to create such types of nodes in genie.
Could someone help me please
Continuous variable type node in genie
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shooltz[BayesFusion]
- Site Admin
- Posts: 1483
- Joined: Mon Nov 26, 2007 5:51 pm
Re: Continuous variable type node in genie
You have two options:
1. use an equation node and specify the bounds.
2. use a discrete node with numeric intervals over node outcomes.
For more information, refer to GeNIe manual. It is installed with the program; alternatively you can access HTML and PDF versions at:
https://support.bayesfusion.com/docs/
The chapter numbers in the PDF are:
4.2 Discrete and continuous variables
5.4.5 Node properties (see the "Chance nodes: Intervals" subsection)
6.7 Equation-based and hybrid models
Here's the quote from chapter 4.2 about discrete and continuous variables:
1. use an equation node and specify the bounds.
2. use a discrete node with numeric intervals over node outcomes.
For more information, refer to GeNIe manual. It is installed with the program; alternatively you can access HTML and PDF versions at:
https://support.bayesfusion.com/docs/
The chapter numbers in the PDF are:
4.2 Discrete and continuous variables
5.4.5 Node properties (see the "Chance nodes: Intervals" subsection)
6.7 Equation-based and hybrid models
Here's the quote from chapter 4.2 about discrete and continuous variables:
While the distinction between discrete and continuous variables is crisp, the distinction between discrete and continuous quantities is rather vague. Many quantities can be represented as both discrete and continuous. Discrete variables are usually convenient approximations of real world quantities, sufficient for the purpose of reasoning. And so, success of a venture might be represented by a continuous variable expressing the financial gain or stock price, but it can also be discretized to [Good, Moderate, Bad] or to [$5, $20, $50] price per share. Body temperature might be continuous but can be also discretized into intervals or categorized as Low, Normal, Fever, and High fever. Experience in decision analytic modeling has taught that representing continuous variables by their three to five point discrete approximations performs well in most cases. Still, it is natural to use equations when there is a good theoretical or engineering understanding of a system or its part.