What-If Formulae
What-If Analysis
ML Modeller
SciPyRBuild powerful ML models in Infoveave for predictive analysis and decision-making. Configure filters, define input/output columns, set train-test ratios, and let Infoveave build the models. Save and explore the models for valuable insights and data-driven decision-making.
Table of Contents
1. Overview
Build powerful ML models in Infoveave for predictive analysis and decision-making. Configure filters, define input/output columns, set train-test ratios, and let Infoveave build the models. Save and explore the models for valuable insights and data-driven decision-making.
2. Quick Guide
Within this guide, you will find three sections, each focusing on a specific aspect of working with ML Modeller in Infoveave:
- ML Modeller Layout: In this section, you will learn how to navigate the user interface (UI) of the ML Modeller module in Infoveave. We will guide you through the various components, menus, and tabs available, helping you familiarize yourself with the layout and organization of the related features. This section will ensure that you can easily access and locate the necessary functions for building ML models.
Create ML Model: The create new ML model section will walk you through the process of creating a new ML model in Infoveave. You will learn how to select the required tasks from the task list and arrange them on the ML Modeller designer canvas to define the workflow. We will cover the essential steps to save the job, ensuring that it meets the minimum requirements for execution.
Manage ML Models: The Manage ML model section focuses on effectively managing your existing ML models in Infoveave. This section will help you to efficiently manage and maintain your ML model within the Infoveave platform.
