Defining ML Models

Infoveave ML Model is a powerful tool designed to facilitate the creation of machine learning models. It streamlines the process of creating, modifying, and refining machine learning models, empowering you to make data-driven decisions effectively.

This section provides you with detailed guidance on creating and setup of an ML model.

Creating a Machine Learning (ML) Model

1. To create and execute a ML Model click on Analysis ML Modeller. You can find all your ML Models under the tabs My ML Models and Shared ML Models respectively.
2. To create a new model, click on New Model. You will be directed to the ML Model builder.
3. Provide a meaningful Name in the Setup tab. This will help you to identify and understand the purpose of each ML Model.
4. Click on Save to save the model.

Selecting & validating query

The query activity sets the base foundation for your machine learning (ML) model. By validating the query, you gain the ability to perform various data transformation activities essential for refining and preparing your data for ML Modelling.

1. Drag and drop the Query activity from the Activity panel to the ML Model builder.
2. Click on the Query activity to select the desired query from the dropdown list. For detailed information on creating queries, refer to the Queries.
3. Click on the Validate and preview button to validate the selected query.Once the query is validated, it will display the data table. Validating allows you to configure relevant data transformation activities and in-built ML Models.

Note

The green check box appears on each activity after successful activity validation.

Adding & validating Data Transformation activities

Data transformation activities help you to format and prepare data for machine learning analysis. It ensures that the data is in the right format for effective modeling.

1. Drag and drop all the other required data transformation activities from the Activity panel to the ML Model builder.
2. Select each activity and configure them individually in the Configuration tab.
3. Link the activities with other configured activities as required.
4. Click on Validate and preview button to validate each activity.

Note

You must validate each individual activity in the ML Model separately. The process of configuring each data transformation activity varies based on the activity type.

Selecting & building ML Model

The query activity sets the base foundation activity for your machine learning (ML) model. By validating the query, you gain the ability to perform various other activities essential for building your ML Model.

1. Drag and drop the required ML Model from the Activity panel to the ML Model builder.
2. Select the ML Model and configure the model in the Configuration panel.
3. Link/chain all the configured data transformation activities with the configured ML Model in the ML Model builder.
4. Click on Validate and build button, to validate and build the ML Model in Infoveave.
5. It will start building the model. After the successful build of the model, the model will provide the output.
6. Select the model with the highest accuracy to predict the outcome with more input data.

Note

• You must link/chain all the configured activities in the ML Model builder to Validate and build the ML Model.
• You can use only one ML Model to train and build the model.

Save ML Model

Note

It is important to save your ML model after any updates / edits as changes are not saved automatically