Data science gear (ds-gear) is a Python API for advanced machine learning algorithms built on top of sklearn, tensorflow and keras and is distributed under the Mit license.
Description
- RNN_MTO_Classifier:
Text scoring RNN based on Many-to-One architecture.
Example applications include sentiment analysis, review scoring - RNN_MTM_Classifier:
Text classification RNN based on Many-to-Many architecture.
Example applications include Named entity recognition, machine translation
Installation
Depenencies
- Python (> 3.6)
- Numpy
- Pandas
- sklearn
- Matplotlib
- Pylint
- Doxypypy
- Nltk (==3.5)
- keras
- tensorflow
- keras-contrib (need to be installed prior to this package)
User installation
- keras-contrib installation (please refer to git repo @ https://github.com/keras-team/keras-contrib)
- package installation:
pip install ds-gear
Source code
You can check the latest sources with the command:
git clone https://github.com/AI-Companion/ds-gear.git
1 maintainer
Metadata
1 maintainer
Release files for ds-gear 0.1.303
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ds-gear-0.1.303.tar.gz | 12.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ds_gear-0.1.303-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 31.4 kB
Release files / ds-gear-0.1.303.tar.gz
| Download URL | ds-gear-0.1.303.tar.gz |
|---|---|
| Size | 12.6 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/3.2.0 pkginfo/1.6.1 requests/2.25.1 setuptools/51.1.0 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.6.9
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Release files / ds_gear-0.1.303-py3-none-any.whl
| Download URL | ds_gear-0.1.303-py3-none-any.whl |
|---|---|
| Size | 18.7 kB |
| Tags | Python 3 |
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twine/3.2.0 pkginfo/1.6.1 requests/2.25.1 setuptools/51.1.0 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.6.9
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