SystemDS: A Declarative Machine Learning System for the End-to-End Data Science Lifecycle.
Matthias BoehmIulian AntonovMark DokterRobert GinthörKevin InnerebnerFlorijan KlezinStefanie N. LindstaedtArnab PhaniBenjamin RathPublished in: CoRR (2019)
Keyphrases
- end to end
- data science
- machine learning
- statistical learning
- big data
- ad hoc networks
- admission control
- knowledge representation
- congestion control
- rate allocation
- wireless ad hoc networks
- supervised learning
- data mining
- internet protocol
- service delivery
- knowledge discovery
- reinforcement learning
- semi supervised learning
- data processing
- text mining
- semi supervised
- data analysis
- scalable video
- feature selection
- learning algorithm
- databases