A public and reproducible collection of reference implementations and benchmark suite for distributed machine learning systems.
Project description
[](https://travis-ci.com/mlbench/mlbench-core) [](https://mlbench.readthedocs.io/projects/mlbench_core/en/latest/api.html?badge=latest)
MLBench is a Benchmarking Framework for Distributed Machine Learning algorithms.
This repository contains the core Python library for MLBench which is used to share code between Benchmark implementations as well as for communication with the dashboard.
For more information refer to the [MLBench Core Documentation](https://mlbench.readthedocs.io/projects/mlbench_core/en/stable/api.html) or the [Main Documentation](https://mlbench.readthedocs.io/)
# Change Log
## [v1.1.0](https://github.com/mlbench/mlbench-core/tree/v1.1.0) (2018-12-06) [Full Changelog](https://github.com/mlbench/mlbench-core/compare/v1.0.0…v1.1.0)
Fixed bugs:
Bug when saving checkpoints [#13](https://github.com/mlbench/mlbench-core/issues/13)
Adds Tensorflow Controlflow, Dataset and Model code
Adds Pytorch linear models
Adds sparsified and decentralized optimizers
## [v1.0.0](https://github.com/mlbench/mlbench-core/tree/v1.0.0) (2018-11-15)
Implemented enhancements:
Add API Client to mlbench-core [#6](https://github.com/mlbench/mlbench-core/issues/6)
Move to google-style docs [#4](https://github.com/mlbench/mlbench-core/issues/4)
Add Imagenet Dataset for pytorch [#3](https://github.com/mlbench/mlbench-core/issues/3)
Move worker code to mlbench-core repo [#1](https://github.com/mlbench/mlbench-core/issues/1)
## [0.1.0](https://github.com/mlbench/mlbench/tree/0.1.0) (2018-09-14) Implemented enhancements:
Add documentation in reference implementation to docs [#46](https://github.com/mlbench/mlbench/issues/46)
Replace cAdvisor with Kubernetes stats for Resource usage [#38](https://github.com/mlbench/mlbench/issues/38)
Rename folders [#31](https://github.com/mlbench/mlbench/issues/31)
Change docker image names [#30](https://github.com/mlbench/mlbench/issues/30)
Add continuous output for mpirun [#27](https://github.com/mlbench/mlbench/issues/27)
Replace SQlite with Postgres [#25](https://github.com/mlbench/mlbench/issues/25)
Fix unittest [#23](https://github.com/mlbench/mlbench/issues/23)
Add/Fix CI/Automated build [#22](https://github.com/mlbench/mlbench/issues/22)
Cleanup unneeded project files [#21](https://github.com/mlbench/mlbench/issues/21)
Remove hardcoded values [#20](https://github.com/mlbench/mlbench/issues/20)
Improves Notes.txt [#19](https://github.com/mlbench/mlbench/issues/19)
Rename components [#15](https://github.com/mlbench/mlbench/issues/15)
Fixed bugs:
504 Error when downloading metrics for long runs [#61](https://github.com/mlbench/mlbench/issues/61)
Closed issues:
small doc improvements for first release [#54](https://github.com/mlbench/mlbench/issues/54)
Check mlbench works on Google Cloud [#51](https://github.com/mlbench/mlbench/issues/51)
learning rate scheduler [#50](https://github.com/mlbench/mlbench/issues/50)
Add Nvidia k8s-device-plugin to charts [#48](https://github.com/mlbench/mlbench/issues/48)
Add Weave to Helm Chart [#41](https://github.com/mlbench/mlbench/issues/41)
Allow limiting of resources for experiments [#39](https://github.com/mlbench/mlbench/issues/39)
Allow downloading of Run measurements [#35](https://github.com/mlbench/mlbench/issues/35)
Worker Details page [#33](https://github.com/mlbench/mlbench/issues/33)
Run Visualizations [#32](https://github.com/mlbench/mlbench/issues/32)
Show experiment history in Dashboard [#18](https://github.com/mlbench/mlbench/issues/18)
Show model progress in Dashboard [#13](https://github.com/mlbench/mlbench/issues/13)
Report cluster status in Dashboard [#12](https://github.com/mlbench/mlbench/issues/12)
Send metrics from SGD example to metrics api [#11](https://github.com/mlbench/mlbench/issues/11)
Add metrics endpoint for experiments [#10](https://github.com/mlbench/mlbench/issues/10)
Let Coordinator Dashboard start a distributed Experiment [#9](https://github.com/mlbench/mlbench/issues/9)
Add mini-batch SGD model experiment [#8](https://github.com/mlbench/mlbench/issues/8)
add benchmark code for MPI [#7](https://github.com/mlbench/mlbench/issues/7)
add benchmark code for tensorflow [#6](https://github.com/mlbench/mlbench/issues/6)
add benchmark code for apache reef [#5](https://github.com/mlbench/mlbench/issues/5)
add benchmark code for apache flink [#4](https://github.com/mlbench/mlbench/issues/4)
get initial benchmark numbers (spark reference implementation and mllib/ml) [#3](https://github.com/mlbench/mlbench/issues/3)
evaluate script (framework-independent) and algorithm output format [#2](https://github.com/mlbench/mlbench/issues/2)
bench-spark: remove prepare-data for now, comment on solver prequisites [#1](https://github.com/mlbench/mlbench/issues/1)
* This Change Log was automatically generated by [github_changelog_generator](https://github.com/skywinder/Github-Changelog-Generator)
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file mlbench_core-1.1.0.dev1.tar.gz.
File metadata
- Download URL: mlbench_core-1.1.0.dev1.tar.gz
- Upload date:
- Size: 58.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.20.0 setuptools/40.4.3 requests-toolbelt/0.8.0 tqdm/4.26.0 CPython/3.6.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 6484655c037db8f8f2a4c7b54304ab85257061ac9a7ae118dd91fc2fd87b0f09 |
|
| MD5 | 9e7ae88f0f1be2a2a81ed8afd1346bf0 |
|
| BLAKE2b-256 | 00100a1ad1d1f18efc72a874c960a2f109771173f9d2b8c3df90211968f38c10 |
File details
Details for the file mlbench_core-1.1.0.dev1-py3-none-any.whl.
File metadata
- Download URL: mlbench_core-1.1.0.dev1-py3-none-any.whl
- Upload date:
- Size: 82.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.20.0 setuptools/40.4.3 requests-toolbelt/0.8.0 tqdm/4.26.0 CPython/3.6.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 1e55b28afe7dcc21677235f2be4392bd125bc13fe716696359e42d0e7a8b106f |
|
| MD5 | 7abfd9e9cbb18385e397690b86e7a078 |
|
| BLAKE2b-256 | 06c9ac78599459fc7de95aa69bbda0389ffef43d90f99a807dde93092ff8a9f0 |
](https://travis-ci.com/mlbench/mlbench-core){kind=link}