Data Processing

Algorithm
Use Cases
Once you’ve uploaded your schema to Begin, it’s time to start processing your data. This step processes your user data, generates digital signatures, and uploads them to Begin’s platform. These signatures are used to create your customized A.I. model.

Before You Start

Before we can get started, you’ll need to make sure the following steps
  1. Make sure you have your license key and app ID ready from the settings page.
  1. You’ll need to have a schema uploaded to Begin. Follow these steps to get started.
  1. Once your schema is uploaded, create a project using that schema and you’ll be taken to the integration code page. You’re ready to start processing.

Install Begin’s Library

First, install Begin’s library by calling:
import com.android.beginai.core.BeginWorker;
This will initiate the installation process.
If using virtual environments, don’t forget to add beginai to the requirements.txt file as well.

Add Your Account Credentials

Next, open your Python editor and import the library; then initialize it with the app_id and license_key that you can find under your settings menu in your account.
BeginWorker beginWorker = new BeginWorker("APP_ID", "LICENSE_KEY", getApplicationContext());
Code sample of import command. Make sure to replace APP_ID and LICENSE_KEY with your ID and key.

Load Your Data

Now you’re good to load your users’ data for processing on your computer. Copy the code from the Android section in the Integration Code page to your SDK.
notion image
☝️
DON’T FORGET! All fields and interactions must be defined in the schema before they are used in the SDK.
For more information what each field represents, refer to our field guide.

Start Learning

Once you’ve loaded your data, the final step is to send the following call:
beginWorker.learnFromData();
When you write learn from data, anonymized and secure signatures are generated and sent to Begin platform to initiate the machine learning process.