Eazyml Augmented Intelligence
EazyML Augmented Intelligence extract insights from Dataset with certain insights score which is calculated using coverage of that insights.
Features
- Builds a predictive model based on the input training data, mode, and options. Supports classification and regression tasks.
APIs
It provides following apis :
- scikit_feature_selection
ez_augi(mode='classification', outcome='target', train_file_path='train.csv')
1 maintainer
Metadata
1 maintainer
Release files for eazyml-genai 0.2.45
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| eazyml_genai-0.2.45.tar.gz | 42.0 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| eazyml_genai-0.2.45-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 85.7 MB
Release files / eazyml_genai-0.2.45.tar.gz
| Download URL | eazyml_genai-0.2.45.tar.gz |
|---|---|
| Size | 42.0 MB |
| Tags | Source |
|
SHA-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/7.0.0 CPython/3.12.14
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Release files / eazyml_genai-0.2.45-py2.py3-none-any.whl
| Download URL | eazyml_genai-0.2.45-py2.py3-none-any.whl |
|---|---|
| Size | 43.7 MB |
| 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/7.0.0 CPython/3.12.14
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