AutoFE: Deep Learning-based Automatic Feature Extraction
Automatic Feature Extraction in Images and Texts using Transfer Learning
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Install
pip install your_project_name
How to use
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Metadata
Release files for auto-feature-extraction 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| auto_feature_extraction-0.0.1.tar.gz | 11.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| auto_feature_extraction-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 23.7 kB
Release files / auto_feature_extraction-0.0.1.tar.gz
| Download URL | auto_feature_extraction-0.0.1.tar.gz |
|---|---|
| Size | 11.1 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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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.1 importlib_metadata/1.5.0 pkginfo/1.5.0.1 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.7.7
|
Release files / auto_feature_extraction-0.0.1-py3-none-any.whl
| Download URL | auto_feature_extraction-0.0.1-py3-none-any.whl |
|---|---|
| Size | 12.6 kB |
| Tags | 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/3.4.1 importlib_metadata/1.5.0 pkginfo/1.5.0.1 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.7.7
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