nbdev template
Use this template to more easily create your nbdev project.
If you are using an older version of this template, and want to upgrade to the theme-based version, see this helper script (more explanation of what this means is contained in the link to the script).
Troubleshooting Tips
- Make sure you are using the latest version of nbdev with
pip install -U nbdev - If you are using an older version of this template, see the instructions above on how to upgrade your template.
- It is important for you to spell the name of your user and repo correctly in
settings.inior the website will not have the correct address from which to source assets like CSS for your site. When in doubt, you can open your browser's developer console and see if there are any errors related to fetching assets for your website due to an incorrect URL generated by misspelled values fromsettings.ini. - If you change the name of your repo, you have to make the appropriate changes in
settings.ini - After you make changes to
settings.ini, runnbdev_build_lib && nbdev_clean_nbs && nbdev_build_docsto make sure all changes are propagated appropriately.
1 maintainer
Metadata
1 maintainer
Release files for ml-toolkit 0.0.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| ml-toolkit-0.0.3.tar.gz | 5.7 kB | Without provenance | Details for ml-toolkit-0.0.3.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| ml_toolkit-0.0.3-py3-none-any.whl | Python 3 | none | any | Details for ml_toolkit-0.0.3-py3-none-any.whl |
Total release size: 10.3 kB
Release files / ml-toolkit-0.0.3.tar.gz
| Download URL | ml-toolkit-0.0.3.tar.gz |
|---|---|
| Size | 5.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
64abdd392f7e66566521e9c992e5c6c43d3bc7814bcfbb57dd0f10815199ddd2
|
|
BLAKE2b-256 checksum How to use checksums |
78fd41f09b60a85756888a11327f8a1e40df99a0482c4f0154a82bebe8c6748e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.1 importlib_metadata/4.6.1 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.9.5
|
Release files / ml_toolkit-0.0.3-py3-none-any.whl
| Download URL | ml_toolkit-0.0.3-py3-none-any.whl |
|---|---|
| Size | 4.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
6216c159ea851098be8f17d5cca09f25e66f0e7734103efcb776e9ab50f1b16c
|
|
BLAKE2b-256 checksum How to use checksums |
7fd25afc000149abdfe1ff55422f914a1e2d36b5f07281d456db94946ec91e03
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.1 importlib_metadata/4.6.1 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.9.5
|
Security for ml-toolkit 0.0.3
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
