Global Machine learning helpers for docker based development. Build, train and deploy on cloud with docker
Project description
mldock
Global Machine learning helpers for docker based development. Build, train and deploy on cloud with docker
helpful tips
- docker compose sees my files as directories in mounted volume - USE "./path/to/file" format | https://stackoverflow.com/questions/42248198/how-to-mount-a-single-file-in-a-volume
- simlinks from my container have broken permissions in WSL2 | https://github.com/microsoft/WSL/issues/1475
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
mldock-0.4.1.tar.gz
(48.2 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
mldock-0.4.1-py3-none-any.whl
(65.2 kB
view details)
File details
Details for the file mldock-0.4.1.tar.gz.
File metadata
- Download URL: mldock-0.4.1.tar.gz
- Upload date:
- Size: 48.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/49.2.1 requests-toolbelt/0.9.1 tqdm/4.58.0 CPython/3.8.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ad58fffdd705477c7c86f02aaeb72851cf036bab06560aff9a070b81b8203596
|
|
| MD5 |
7c3607cb24f228b6ca27c680100b6de2
|
|
| BLAKE2b-256 |
3a51f0a1d082433e8c50f71e5cd4578ca9d6457c5e0fb7a162cb4bad47e29bdd
|
File details
Details for the file mldock-0.4.1-py3-none-any.whl.
File metadata
- Download URL: mldock-0.4.1-py3-none-any.whl
- Upload date:
- Size: 65.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/49.2.1 requests-toolbelt/0.9.1 tqdm/4.58.0 CPython/3.8.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
9fe630e92d52d92943729a477dff9aec7173dfd141205d41c3a75cce013b220b
|
|
| MD5 |
f6592a28f954f0cbd985592bf381383a
|
|
| BLAKE2b-256 |
a86a1d19a676b5050aed2c124b223c431a7759372afdbffd561d984cc7907816
|
