| commit | 75e7e64f228cccfe71017199799298e227e4bd23 | [log] [tgz] |
|---|---|---|
| author | Matthias Boehm <mboehm7@gmail.com> | Tue Apr 11 21:31:27 2023 +0200 |
| committer | Matthias Boehm <mboehm7@gmail.com> | Tue Apr 11 21:31:27 2023 +0200 |
| tree | 2cefbf367c240591e9a2a347b37085d62614ce76 | |
| parent | d39f745a85cfe1dfb976fd85ddb6130fd845a942 [diff] |
[SYSTEMDS-3149] Fix misc issues decisionTree/randomForest training This patch fixes various issues in the new decisionTree and randomForest built-in functions as well as adds new and stricter tests: * randomForest validation checks and parameters (consistent to DT) * randomForest correct feature map with feature_frac=1.0 * decisionTree simplification of leaf label computation * synchronized deep copy of hop-DAGs to avoid race conditions in parfor * added missing size propagation on spark rev operations * new tests with randomForest that check equivalent results to DT with num_tree=1 and reasonable results with larger ensembles
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.
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
