Machine Learning solutions for Flow Designer

With Predictive Intelligence for Flow Designer (com.snc.ml_flowdesigner), you can deploy machine learning solutions in your instance. This spoke provides actions to incorporate Predictive Intelligence model predictions into flows.

Predictive Intelligence activation

This spoke requires Predictive Intelligence (com.glide.platform_ml). For more information, see Install Predictive Intelligence.

Key features

Predictive Intelligence for Flow Designer provides three frameworks that you can use to create machine-learning solutions in your instance. Each framework delivers a different solution type for training the system to predict, recommend, and organize data outcomes.

• Classification framework

• Similarity framework

• Clustering framework

Spoke requirements

• A sharedservice.worker user to train solutions.

• A pre-trained Predictive Intelligence solution.

Spoke dependencies

If you’re having trouble installing the app, ensure that these dependent plugins are installed:

• Predictive Intelligence (com.glide.platform_ml) plugin

• Predictive Intelligence Reporting (com.glide.platform_ml_pa) plugin

Note: Some plugins may be licensable features and require appropriate licenses, if used outside the spoke implementation.

Spoke actions

Predictive Intelligence for Flow Designer (com.snc.ml_flowdesigner) provides actions to make predictions using existing models without having to write or maintain script. Available actions include:

<table id=“table_gdw_w1v_r4b”><thead><tr><th>

Action

</th><th>

Description

</th></tr></thead><tbody><tr><td>

Classification Batch Prediction

</td><td>

Obtain a predicted value from an active classification solution definition using multiple input records.

</td></tr><tr><td>

Classification Prediction

</td><td>

Obtain a predicted value from an active classification solution definition using a single input record.

</td></tr><tr><td>

PI Confidence Check

</td><td>

Compare an output value (number) from Predictive intelligence with a number specified by the user. For example: Compare the confidence value of a prediction with a specified value.

</td></tr><tr><td>

Regression Batch Prediction

</td><td>

Obtain a predicted value from an active regression solution definition using multiple input records.Note: The regression framework is deprecated in the Australia release. You can continue to use existing regression solutions but you can’t create new ones.

</td></tr><tr><td>

Regression Prediction

</td><td>

Obtain a predicted value from an active regression solution definition using a single input record.Note: The regression framework is deprecated in the Australia release. You can continue to use existing regression solutions but you can’t create new ones.

</td></tr><tr><td>

Similarity Prediction

</td><td>

Obtain similar records that exist in the table specified by the user in their similarity solution definition.

</td></tr></tbody> </table>## Spoke user roles

Predictive Intelligence for Flow Designer provides these user roles to control access to data:

User role Description ml_admin Grants access to all Predictive Intelligence features

Parent Topic:Spokes

Related topics

Use Predictive Intelligence in Flow Designer with ML actions