UiPath Integrations

The UiPath Integrations Guide

Welcome to the UiPath Integrations guide. You will find comprehensive guides and documentation to help you start working with UiPath Integrations, as well as support if you get stuck.

In order to download the solutions mentioned here please visit the official UiPath Go! Marketplace here.

*Note that only integrations built in-house at UiPath are detailed below. For a complete list of UiPath's technology partners, see here.

UiPath.DataRobot.Activities.Predict

Once a machine learning model has been deployed on the DataRobot server, this activity uses it to predict the target feature based on a single data set.

Properties

Common

  • DisplayName - The display name of the activity.

Credentials

  • Password - The password used to log into DataRobot.
  • URL - (Optional) The URL of your DataRobot host. Defaults to https://app.datarobot.com if no value is provided.
  • Username - The username used to log into DataRobot.

Input

  • Data - The local path of the data file used to predict the target feature. This file must contain tabular data (e.g. a .csv file) with each line missing a value for the target feature.
  • Deployment - The name of the deployed model used to predict the target feature.
At design-time, enter your login credentials, hit "Load Deployments", and a list of deployed models will appear in the Predict activity!

At design-time, enter your login credentials, hit "Load Deployments", and a list of deployed models will appear in the Predict activity!

Output

  • Predictions - The predicted values of the target feature as a Prediction[].

    Prediction objects contain the following fields:

    • Value (String) - The predicted value for the model's target feature.
    • Confidence (Double) - The confidence, as a value between 0 and 1, that the predicted value is correct.
    • PredictionExplanation (Explanation[ ]) - An array of features used to train the model and the degree to which they influence the predicted value.

    Explanation objects contain the following fields:

    • FeatureValue (String) - The value this feature held in the input data.
    • Strength (Double) - A numerical indication of how strongly this feature correlated to the predicted value.
    • Feature (String) - The name of this feature.
    • QualitativeStrength (String) - A visual representation of how strongly this feature correlates with the predicted value. Possible values are ---, --, -, , +, ++, +++.

Updated 3 months ago


Predict


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