# Auto Feature Engineering Project
This is the first version of this project and it contains the basic level auto feature engineering.
This can impute both numerical and categorical features in just one line of code. !
Metadata
Release files for auto-fe 0.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| auto_fe-0.0.2.tar.gz | 4.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| auto_fe-0.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 8.9 kB
Release files / auto_fe-0.0.2.tar.gz
| Download URL | auto_fe-0.0.2.tar.gz |
|---|---|
| Size | 4.3 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
7aba4a3c690993d2db01e9878f7f262146415dee399d819398a35a05a8aa78b3
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BLAKE2b-256 checksum How to use checksums |
6d38cfdb1b6a3514befaefca88466fb8b9de84f60289062f0a18464064f085a8
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.9.15
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Release files / auto_fe-0.0.2-py3-none-any.whl
| Download URL | auto_fe-0.0.2-py3-none-any.whl |
|---|---|
| Size | 4.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
dc361d71c0ffbc37665d6d53511869d357969028d00fb16b3da75f6387a72430
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BLAKE2b-256 checksum How to use checksums |
68dd8b947dc2d05da08725cea6c8ef2595077f0cb740718f493ffd48dee5a381
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.9.15
|