ML Model

Amorphic Model portal helps you create/import an AWS SageMaker model. This machine learning model object can be applied on a dataset files for prediction purposes.

Amorphic Model Overview

Apply Amorphic Model

Apply Model

Once an Amorphic model object is created, you can run a model on a Dataset files in the Amorphic portal by going through the following steps:

  1. Select a Dataset in the Amorphic portal.
  2. Go to the “Files” tab and select the file on which you want to run the model.
  3. Click on the Top Right options for the file.
  4. Click on “Apply ML”
  5. Select the ml-model from the model dropdown. All Amorphic model objects that match the corresponding input schema of Datasets will be available to select.
  6. Select the required instance types. Note: certain aws marketplace subscribed models run on specific instance family type.
  7. Select the Target Dataset. The Datasets matching the output schema of the Amorphic model object will be available for selection.
  8. Click on “Submit”
Apply Model 2

Ml Pipeline

Model Pipeline

The above figure shows how a typical ML pipeline of Amorphic platform looks like. During the Amorphic model object creation process, the pre-processing and post-processing ETL job functionality provides a way to drag and drop ETL workflows for a smooth user access.