fastai-category-encoders
Get Started
Install as a Python package
pip install git+https://github.com/kireygroup/fastai-category-encoders
Prerequisites
To run this project you need to install Docker or Nvidia-Docker.
Build the image
An utility script can be found in bin/build.sh:
./bin/build.sh
Run the image
If you want to use Docker (on CPU):
./bin/run-cpu.sh
If you want to run the container using Nvidia-Docker:
./bin/run-cuda.sh
Note: if you plan on using Nvidia-Docker, you should use one of the images available on the Nvidia Container Repository.
The container will start a new Jupyter Notebook server on port 8888.
Note that the fastai_category_encoders folder will be mounted inside the container, so any change you make to the source files or notebooks will be replicated on both systems.
Metadata
Release files for fastai-category-encoders 0.0.4
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 | |
|---|---|---|---|---|
| fastai_category_encoders-0.0.4.tar.gz | 11.2 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| fastai_category_encoders-0.0.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 27.3 kB
Release files / fastai_category_encoders-0.0.4.tar.gz
| Download URL | fastai_category_encoders-0.0.4.tar.gz |
|---|---|
| Size | 11.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
6ecbb43099039dc50606996f7e7a800e772b382a4c6366602ef802fab0f09433
|
|
BLAKE2b-256 checksum How to use checksums |
2213739487182f78599f7805efe4bd7e882abae30659aa0153c981243f70f3d7
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is 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/4.56.0 CPython/3.9.1
|
Release files / fastai_category_encoders-0.0.4-py3-none-any.whl
| Download URL | fastai_category_encoders-0.0.4-py3-none-any.whl |
|---|---|
| Size | 16.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
9b7b27107ebfb7d5e934cf2b629be0d7d55a9c01bbd99a1c672a10443034977d
|
|
BLAKE2b-256 checksum How to use checksums |
20b15a11d828dd6ad816097768b135a2a00f6b68299fefdae65301a87f8845a0
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is 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/4.56.0 CPython/3.9.1
|
Security for fastai-category-encoders 0.0.4
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.