Compétence ML

UiPath.MLServices.Activities.MLSkills

Description

Remarque :

This activity requires Studio v2019.10 or higher to function properly.

Récupère les compétences ML disponibles dans le service AI Center et les demande. S'authentifie sous le robot qui exécute la compétence ML.

Compatibilité du projet

Windows - Héritage | Windows

Comment les entrées sont-elles transmises à l’activité

Selon le type d'entrée, l'activité CompétencesML attend le format suivant :

JSON

"this is an example of input"
"{""expected-field"":""this is another example""}"

Fichier

"C:/full/path/to/file.ext"

Fichiers

"C:/full/path/to/file1.ext,C:/full/path/to/file2.ext,C:/full/path/to/file3.ext"

Configuration

Module Designer

Depending on the chosen Connection mode, you can configure several essential properties directly from the body of the activity.

Mode de connexion : Robot

Figure 1. The ML Skill activity when the connection mode is made through a Robot

• Search - Retrieves the list of available ML Skills and allows you to select the one to which you want to send data. This list is populated after connection.
• Item - The input that is sent alongside the ML Skill request.
• JSONResponse - The JSON response returned by the ML Skill request.

Mode de connexion : Point de terminaison

Figure 2. The ML Skill activity when the connection mode is made through an endpoint

• ML Skill URL - The URL of the ML Skill to used for prediction. For instance, you can type https://aicentercom/j123/invoices in the Advanced Editor. Once public, it is visible in the Dataset detail page.
• API Key - The API Key selected from the AI Center Resource. Once public, it is visible in the Dataset detail page.
• Test Skill - Test your ML Skill.
• Input type - The input type expected for the ML Skill selected from the drop-down list (JSON, File, or Files)
• Item - The input that is sent alongside the ML Skill request.
• JSONResponse - The JSON response returned by the ML Skill request.

Panneau propriétés

Commun

• ContinueOnError - Specifies if the automation should continue even when the activity throws an error. This field only supports Boolean values (True, False). The default value is False. As a result, if the field is blank and an error is thrown, the execution of the project stops. If the value is set to True, the execution of the project continues regardless of any error.
  Remarque :

  Si cette activité est incluse dans Tenter de capturer (Try Catch) et que la valeur de la propriété Poursuite sur erreur (ContinueOnError) est True, aucune erreur n'est détectée lors de l'exécution du projet.

• DelayAfter - Delay time (in milliseconds) after executing the activity. This field supports only Int32 variables.
• DelayBefore - Delay time (in milliseconds) before the activity begins performing any operations. This field supports only Int32 variables.
• DisplayName - The display name of the activity. This field supports only String variables.
• NumberOfRetries - The maximum number of attempts to execute the ML Skill request. This field supports only Int32 variables.
• TimeoutMS - Specifies the amount of time (in milliseconds) to wait for the activity to run before an error is thrown. The default value is 30000 milliseconds (30 seconds). This field supports only Int32 variables.

Entrée

• API Key - The API Key of the ML Skill to be predicted. This field supports only String variables.
• Connection mode - The desired type of connection (Robot or Endpoint)
  • Robot - Deploy the ML Skill inside Robot.
  • Endpoint - Deploy the ML Skill outside Robot.
• Item - The input string that is sent alongside the ML Skill request. This field supports only strings and String variables.

Divers

• Privé (Private) - Si cette option est sélectionnée, les valeurs des variables et des arguments ne sont plus enregistrées au niveau Détaillé (Verbose).
• Skill URL - The URL of the ML Skill to used for prediction. This field supports only String variables.

Sortie

• Headers - The headers returned by the ML Skill request. This field supports only String variables.
• JSONResponse - The JSON response returned by the ML Skill request. This field supports only String variables.
• StatusCode - The Status Code returned by the ML Skill request. This field supports only Int32 variables.