Blogs tagged apl

After completing the first part of the blog you should have a hold-out dataset in HANA dedicated to test, for both the Census case, and the California Housing case. In this second part we will build an APL model and a non-APL model on the same... Read More »

You need to compare an APL classification or regression model to a non-APL model, and you want to make sure the evaluation process is not flawed. This blog should help you run this comparison in a fair manner; it includes code snippets you can copy... Read More »

Marketing campaigns need to be relevant for the recipient, and worthwhile for the sender. It is not worth sending a promotional offer about a product or service if you know that your customer will buy it anyway. It is not worth calling a subscriber... Read More »

The latest release of the Automated Predictive Library (APL) introduces the capability to build several time series models at once from a segmented measure like Sales by Store for example or Profit by Product. No need any more to define a loop in... Read More »

Common machine learning scenarios such as fraud detection, customer churn, employee flight risk, aim to predict Yes/No outcomes using binary classification models. But sometimes the target to predict has more than just two classes. This is the case... Read More »

Starting with version 2203 of the Automated Predictive Library (APL) intermittent time series are given a special treatment. When the target value has many zeros, typically when the demand for a product or a service is sporadic, APL will no longer... Read More »

See HOW Machine Learning on the SAP Business Technology Platform can be used to extend SAP Marketing Cloud with Predictive Scores. WHY we think that this important, will be described in a separate blog that will be published soon by Carsten Heuer.... Read More »

To address classification and regression machine learning scenarios, APL uses the Gradient Boosting technique. As for explaining what the predictive model does, APL relies on the SHAP framework (SHapley Additive exPlanations). In this blog we will... Read More »

Introduction This is the second part of the blog series “SAP BTP Data & Analytics Showcase – Empower Data Scientist with Flexibility in an End-to-End Way”. I recommend you to look into our overall blog to gain a better understanding of the... Read More »

This is part 2 in a two-part series of blog posts on large-scale and explainable forecasting using APL. In part 1 I have outlined a way to utilize the APL library for in-database training of a regression model in HANA in order to be used together... Read More »