MLRE: Machine Learning and Research Environment.
MLRE is a collection of tools that may help machine learning researchers and developers.
Radar
Radar is a networked event reporting library. Its main feature is the freeze frame support, where with each event we record observations from the environment to aid in debugging. This type of tracing is inspired by the automotive industry.
Starting the Radar API server:
FLASK_APP=mlre.radar.radar_app:create_default_app flask run
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Release files for mlre 0.4.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mlre-0.4.0.tar.gz | 6.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mlre-0.4.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 15.9 kB
Release files / mlre-0.4.0.tar.gz
| Download URL | mlre-0.4.0.tar.gz |
|---|---|
| Size | 6.3 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/46.1.3 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.7.5
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Release files / mlre-0.4.0-py3-none-any.whl
| Download URL | mlre-0.4.0-py3-none-any.whl |
|---|---|
| Size | 9.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
1bba5a7eddcc9ab661c58e41835cd1ca69708473d753295d01a0cbdcb444bf08
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BLAKE2b-256 checksum How to use checksums |
a7edf72376d80a242e920ec8cf3b25794aad1084ab9ab4aa902679468a9ca516
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/46.1.3 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.7.5
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