Get Model
AutomatR.Nanonets.Activities.GetModel
The "Get Model" activity in AutomatR is part of the Nanonets Image Classification activities package, providing details about a specific model by passing its Model ID. This activity enables you to retrieve information about the trained model, enhancing transparency and understanding of the model's characteristics.
Properties
| Name | Description |
|---|---|
| Input | |
| Model ID | Specifies the unique identifier of the model for which you want to retrieve details. String variables containing the Model ID. |
| Misc | |
| Display Name | Provides a customizable name for the activity displayed in the workflow. The display name enhances clarity and organization within the automation project. String variables containing the desired display name. |
| Optional | |
| Delay | Specifies the amount of time (in seconds) to wait before executing the "Get Model" activity. This can be useful for handling synchronization issues. Integer variables containing the delay duration. Ex.: If the amount of time is 1000 milliseconds or 1 sec, i.e., 1. |
| Output | |
| Result | Outputs the details of the specified model with the data type ImageClassificationProperties. Variables of type ImageClassificationProperties to store the model details. |
How to use:
- Drag and drop the "Get Model" activity onto the workflow.
- Configure the properties by specifying the Model ID of the Nanonets Image Classification model you want to retrieve details for.
- Optionally, configure the delay.
- Execute the workflow to obtain details about the specified model.
Example: Consider an example where the "Get Model" activity is used to retrieve details about a Nanonets Image Classification model with the Model ID "12345":
Get Model:
Model ID: "12345"
Delay: 3
Result: modelDetails
In this example, the activity retrieves details about the Nanonets Image Classification model with the Model ID "12345" with a delay of 3 seconds. The details are stored in the variable "modelDetails" of type ImageClassificationProperties for further handling in the workflow.