Description
Mayan EDMS machine learning document classifier.
License
This project is open sourced under the Apache 2.0 License.
Installation
Install from PyPI in the same virtualenv where you installed Mayan EDMS. Or if using the Docker image, pass mayan-document-classifier to the MAYAN_PIP_INSTALLS environment variable.
pip install mayan-document-classifierAdd document_classifier to the COMMON_EXTRA_APPS setting, either as an environment variable, from a Python settings modules, or from the UI via the config.yaml configuration file.
Python settings module example:
INSTALLED_APPS += ( 'document_classifer', )Run the migrations for the app (not required for the Docker image):
mayan-edms.py migrate
Requirements
Mayan EDMS version 3.4
1.0.2 (2021-03-04)
Fix Google AI library dependency definition.
1.0.1 (2021-03-04)
Add missing Google AI library dependency.
1.0.0 (2021-01-06)
Initial release
1 maintainer
Metadata
1 maintainer
Release files for mayan-document-classifier 1.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mayan-document-classifier-1.0.2.tar.gz | 9.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mayan_document_classifier-1.0.2-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 19.8 kB
Release files / mayan-document-classifier-1.0.2.tar.gz
| Download URL | mayan-document-classifier-1.0.2.tar.gz |
|---|---|
| Size | 9.0 kB |
| Tags | Source |
|
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/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/44.0.0 requests-toolbelt/0.9.1 tqdm/4.57.0 CPython/3.8.6
|
Release files / mayan_document_classifier-1.0.2-py2.py3-none-any.whl
| Download URL | mayan_document_classifier-1.0.2-py2.py3-none-any.whl |
|---|---|
| Size | 10.7 kB |
| Tags | Python 2 Python 3 |
|
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/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/44.0.0 requests-toolbelt/0.9.1 tqdm/4.57.0 CPython/3.8.6
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