On the recordRead 9 Oct 202617 facts
MLXP
On the record
- Cluster jobs
- It can submit jobs to a cluster using a job scheduler.github.com · read 4 Oct 2026
- Code versioning
- Its Git based version manager can generate a deployment version of code based on the latest Git commit.github.com · read 9 Oct 2026
- Configuration
- Logger, version manager, scheduler, and interactive mode settings can be adjusted in an automatically created mlxp.yaml file.inria-thoth.github.io · read 9 Oct 2026
- Dependencies
- Documented requirements include Hydra Core, OmegaConf, TinyDB, PyYAML, pandas, dill, and GitPython.inria-thoth.github.io · read 9 Oct 2026
- Documentation
- The repository links to a quick start guide, a tutorial, and detailed documentation on the project website.github.com · read 4 Oct 2026
- Experiment launching
- A decorator and Hydra hierarchical configurations let users launch several jobs with different option values.github.com · read 9 Oct 2026
- Experiment records
- It logs metrics, artifacts, checkpoints, metadata, and configuration options in a uniquely assigned job directory.github.com · read 4 Oct 2026
- Installation
- The project documents installation with pip from PyPI or by cloning the GitHub repository.inria-thoth.github.io · read 9 Oct 2026
- Job launching
- It can launch several jobs automatically using Hydra and hierarchical configs, with a decorator on the main task function.github.com · read 4 Oct 2026
- Lazy loading
- The MLXP DataFrame can defer loading metric files and artifacts until their fields are accessed.inria-thoth.github.io · read 9 Oct 2026
- License
- The project says MLXP is distributed under the MIT license.github.com · read 9 Oct 2026
- Logging
- Runs can log metrics, artifacts, checkpoints, metadata, and configuration options in uniquely assigned directories.github.com · read 9 Oct 2026
- Purpose
- MLXP is an open-source Python framework for managing experiments from launching and logging through querying results.github.com · read 4 Oct 2026
- Result analysis
- The Reader supports querying, grouping, and aggregating results across runs.inria-thoth.github.io · read 9 Oct 2026
- Results
- It supports reading, querying, grouping, and aggregating outputs from multiple jobs.github.com · read 4 Oct 2026
- Scheduler integrations
- The documentation lists SLURM, OAR, TORQUE, SGE, MWM, and LSF as supported job schedulers.inria-thoth.github.io · read 9 Oct 2026
- What it does
- MLXP is an open-source Python framework for managing machine learning experiments from launch and logging through querying results.github.com · read 9 Oct 2026
