About Apps

This page details the purpose of an app, and how to configure it using a recipe.

Overview

Verteego Apps are dynamic tools that model decision flows, automating and streamlining decision-making processes across diverse operations.

These apps seamlessly integrate:

• dataset import and export

• pipeline initiation

• and scoring mechanism execution to facilitate complex analytics and optimization tasks.

Core Components

1. Recipe: The blueprint of the app, detailing the sequence and logic of operations within the decision-making process.

2. App Run: The actual execution of the app, using a specific set of inputs to generate decisions (detailed in recipe).

3. Results: The outcomes of each app run, encapsulating the decisions and insights generated by the app.

App Functionalities

Several features are available within an App.

Apps can:

1. Extract data from :

   Datasets: Using steps defined as import_from_dataset Pipelines: Using steps defined as import_from_pipeline

2. Execute a Pipeline of 2 different types : Forecast: using type defined as forecast_pipeline Optimization: using type defined as optimization_pipeline

3. Evaluate Results : Assessment of forecast accuracy with score steps

4. Export Results : The dissemination of app outputs is accomplished using an export step

Each of these functionalities plays a pivotal role in the App's life cycle from gathering the initial data to generating actionable outputs—making Apps an integral component of the Verteego ecosystem.