Blogs tagged hana-ml

In time series, an outlier is a data point that is different from the general behavior of remaining data points. In Predictive Analysis Library (PAL) of SAP HANA, we have automatic outlier detection for time series. You can find more details in... Read More »

I am writing this blog to define HANA tables and upload data to the table using python package hana_ml. Environment Environment is as below. Python: 3.7.13(Google Colaboratory) HANA: Cloud Edition 2022.16 Python packages and their... Read More »

Overview This is the 2nd blog post of the “SAP Data and Analytics Showcase” series of blog posts. We recommend you to look into our overall blog post to gain a better understanding of the end-to-end scenario and use case which combine multiple... Read More »

The series of blog posts is written by Frank Gottfried, Christoph Morgen and Wei Han together. Overview In this blog post, we’ll describe an end-to-end scenario, which demonstrates how to develop a SAP Cloud Programming Model (CAP) application... Read More »

Update from 2023/01: The ARM version of SAP HANA Clients for macOS is available as of version 2.15, for example from https://tools.hana.ondemand.com/#hanatools. Last week I switch from using an Intel-based MacBook laptop (x86 architecture) to... Read More »

Machine Learning in SAP HANA is a great thing. With the two embedded Machine Learning libraries (PAL and APL) to choose from, which support all the core Machine Learning tasks, you’re more than well equipped to build data driven, intelligent... Read More »

Introduction This blog post will be about advanced feature importance with help of tree analysis. We will have a look on the famous dataset WINE (easy multi-class classification dataset) and upload it to HANA Cloud instance. On top of it we will... Read More »

Picture this – you are the manager of a supermarket and would like to forecast the sales in the next few weeks and have been provided with the historical daily sales data of hundreds of products. What kind of problem would you classify this as? Of... Read More »

Machine learning models, e.g. classification and regression model, contain the relationships and patterns between features in the training dataset which could be applied to similar data in the future for prediction. Model training could be time... Read More »

1. Introduction Seasonality is an important characteristic of a time series and we provide a seasonal decomposition method is provided in SAP HANA Predictive Analysis Library(PAL), and wrapped up in the Python Machine Learning Client for SAP... Read More »