commit | f4e53ba17a4147ecfacb10b0c905f09397d7545b | [log] [tgz] |
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author | Matthias Boehm <mboehm7@gmail.com> | Sun Sep 01 18:20:40 2024 +0200 |
committer | Matthias Boehm <mboehm7@gmail.com> | Sun Sep 01 18:20:40 2024 +0200 |
tree | 4071136e8e61c5693eed431342c61292b6296e79 | |
parent | e9dac368e371b9536e67a19899bcdb60ddda1873 [diff] |
[SYSTEMDS-3696] Performance improvements incremental slice finding This patch is a performance fix-pack for incremental SliceLine, which improved its runtime from 90.4 to 52.2s on a particular scenario with the Adult dataset. In detail, the modifications include: * vectorized one-hot encoding: O(m^2*n^2) -> O(m*n) * vectorized scoring of previous top-k set * vectorized pruning of unchanged slices * vectorized removal of deleted tuples: O(n^2) -> O(n) Furthermore, this patch also cleans up the wrong formatting (spaces instead of tabs) of the incremental slice finder tests.
Overview: SystemDS is an open source ML system for the end-to-end data science lifecycle from data integration, cleaning, and feature engineering, over efficient, local and distributed ML model training, to deployment and serving. To this end, we aim to provide a stack of declarative languages with R-like syntax for (1) the different tasks of the data-science lifecycle, and (2) users with different expertise. These high-level scripts are compiled into hybrid execution plans of local, in-memory CPU and GPU operations, as well as distributed operations on Apache Spark. In contrast to existing systems - that either provide homogeneous tensors or 2D Datasets - and in order to serve the entire data science lifecycle, the underlying data model are DataTensors, i.e., tensors (multi-dimensional arrays) whose first dimension may have a heterogeneous and nested schema.
Resource | Links |
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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