LinkedIn
Copied!

Table of Contents

Supported Google AI Platform models

Version:

Only available versions of this content are shown in the dropdown

Learn more about the Google AI Platform models to which you can connect in Prediction Studio.

Pega Platform can connect to Google AI Platform models that use the following libraries:

  • Scikit-learn
  • TensorFlow
  • XGBoost
TensorFlow models support a list of values (tensors) as input. To connect to TensorFlow models, Pega Platform maps the inputs to a single property as a comma separated list of values.

Data scientists build models on Google AI Platform by using the supported frameworks. As a result, the inputs and outputs of the models are highly customizable. Google AI Platform relies on the data scientist who builds the model to know which features of the input data to the model are required to predict outcomes and to supply these features in the correct type and order. These features can be quite different from the features in the input data that is supplied in the training data set. Similarly, in Pega Platform, you also need to map these features to the properties that Pega Platform requires to use the model.

Have a question? Get answers now.

Visit the Collaboration Center to ask questions, engage in discussions, share ideas, and help others.