[SYSTEMDS-3947] Add Caching mechanism to HP Tuner This patch adds caching for expensive representations like BERT, ResNet, CLIP etc. to the Hyperparameter tuner to reduce the runtime of the hyperparameter optimization. Every "expensive" representation in terms of runtime can be registered now in the operator registry and will then be cached during hyperparameter tuning. Assisted-by: AI
Overview: Apache SystemDS is an open-source machine learning (ML) system for the end-to-end data science lifecycle from data preparation and cleaning, over efficient ML model training, to debugging and serving. ML algorithms or pipelines are specified in a high-level language with R-like syntax or related Python and Java APIs (with many builtin primitives), and the system automatically generates hybrid runtime plans of local, in-memory operations and distributed operations on Apache Spark. Additional backends exist for GPUs and federated learning.
| Resource | Links |
|---|---|
| Quick Start | Install, Quick Start and Hello World |
| Documentation: | SystemDS Documentation |
| Python Documentation | Python SystemDS Documentation |
| Issue Tracker | Jira Dashboard |
Status and Build: SystemDS is renamed from SystemML which is an Apache Top Level Project. To build from source visit SystemDS Install from source
