AUTO AIML
This module takes input csv/excel file and regression/classification flag and it processes the file and create the best model.
Installation
pip install auto-aiml
How to use it?
Open terminal and the give regression flag yes and No for classification then csv/ excel flag Y/N and the file location and that it you are done, wait the process to complete and you can get best model .
License
© 2020 Yashwanth Agastya
This repository is licensed under the MIT license. See LICENSE for details.
Release files for auto-aiml 1.0.4
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-aiml-1.0.4.tar.gz | 9.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| auto_aiml-1.0.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 18.9 kB
Release files / auto-aiml-1.0.4.tar.gz
| Download URL | auto-aiml-1.0.4.tar.gz |
|---|---|
| Size | 9.4 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 |
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twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.5.0.1 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.4
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Release files / auto_aiml-1.0.4-py3-none-any.whl
| Download URL | auto_aiml-1.0.4-py3-none-any.whl |
|---|---|
| Size | 9.5 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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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.5.0.1 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.4
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