Creating a decision diagram
To implement your decision, you create a decision diagram.
The first step when you create a decision model is to implement the architecture of your decision
by building a decision diagram. A diagram is composed of the following elements:
- Decision nodes
- Decision nodes represent the decision that you want to automate and its supporting subdecisions. They contain a decision logic that defines how each decision is made.
- Input data nodes
- Input data nodes represent the data that decisions depend on to determine their output. They are associated with a data type that defines the kind of data that they can hold.
- Function nodes
- Function nodes represent values that are computed from other decision models.
- Prediction nodes
- Prediction nodes represent values that are computed from predictive models.
- Links
- Links represent:
- The dependency relationship between the end decision and the subdecisions and input data it depends on.
- The invocation of a function node or prediction node by a decision node.
For a complete example of how to work with diagrams, see the Training
sample available on GitHub
. Alternatively, you can import the
Training sample from the Samples library in Decision Designer. For more information about the Samples
library, see Building decision services.