You can access Einstein Platform Services through REST APIs using either Apex or other languages of your choosing. Regardless of whether you are using these services for image detection or text sentiment analysis, the following high-level process is followed:
- Define labels that represent how you want to categorize information, such as dogs, cats, cars, vans, positive, and negative.
- Create datasets using the APIs to upload examples for each of the labels you define. You should aim to obtain around 200–500 examples per label for Einstein Language services, and at least 1,000 images per label for Einstein Vision services (for example, 1,000 images of dogs). Once again, the quality of the data you provide directly affects the accuracy of the predictions these APIs provide to your application.
- Create...
