Python

In a few related blog posts[1][2], we have shown the analysis of time-series using traditional approaches like seasonal decomposition, ARIMA and exponential smoothing. However, those traditional approaches have some drawbacks for time-series... Read More »

In this blog post, we will show users how to perform time-series modeling and analysis using SAP HANA Predictive Analysis Library(PAL). Different from the original SQL interface, here we call PAL procedures through the Python machine learning client... Read More »

Before I start explaining, how to manage your first container on SAP Cloud Platform, Kyma runtime. I hope you are already aware of the Docker container and deployed your container on the SAP Cloud Platform. If not, then first read the following... Read More »

Weibull analysis is used to analyze and forecast the life of the products. In this blog post, I’d like to introduce how to use Python machine learning client for SAP HANA to do the Weibull analysis. The data comes from a PoC in China. Firstly... Read More »

In a few separate blog posts, we have discussed the problem of anomaly detection in dataset with multiple features using techniques like one-class classification, clustering(DBSCAN) as well as statistical tests. However, all the aforementioned... Read More »

We have introduced several methods for outlier detection in a few separate blog posts, inclusive of outlier detection using statistical tests and clustering. Typically, these methods can only detect outliers the input dataset, and the detection... Read More »

A time-series is a collection of data points/values ordered by time, often with evenly spaced time-stamps. For example, an air-quality mornitoring system continously measures the air quality around it, and sends out the air-quality-index(AQI) values... 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 »

We may face a situation that the excel files are located in many different folders and we need to merge them into one table and do some analysis. In this blog post, I’d like to share my experience that we can use Python machine learning client... Read More »

Chronic obstructive pulmonary disease (COPD) is a type of obstructive lung disease. Globally, it is estimated that 3.17 million deaths were caused by this disease in 2015. Exposure to indoor and outdoor air pollution, tabacco smoke (especially... Read More »