Download JAR files tagged by pace with all dependencies

The JWebSwing implementation for Pace Loader

The JWebSwing implementation for Pace Loader

The JWebSwing implementation for Pace Loader

PACE Cloud SDK is a client SDK that allows your app to easily connect to PACE's Connected Fueling. The SDK consists of the IDKit to manage the OpenID (OID) authorization and general session flow with its token handling. It also consists of the AppKit, with which you can fetch and display location based apps, apps by URL or ID. Furthermore it contains the POIKit, which allows you to fetch Point of Interests (e.g. gas stations).

Class for building pace regression linear models and using them for prediction. Under regularity conditions, pace regression is provably optimal when the number of coefficients tends to infinity. It consists of a group of estimators that are either overall optimal or optimal under certain conditions. The current work of the pace regression theory, and therefore also this implementation, do not handle: - missing values - non-binary nominal attributes - the case that n - k is small where n is the number of instances and k is the number of coefficients (the threshold used in this implmentation is 20) For more information see: Wang, Y (2000). A new approach to fitting linear models in high dimensional spaces. Hamilton, New Zealand. Wang, Y., Witten, I. H.: Modeling for optimal probability prediction. In: Proceedings of the Nineteenth International Conference in Machine Learning, Sydney, Australia, 650-657, 2002.