end2endML package
The end2endML Python package is designed for data analysts to do automate data analysis on tabular data using machine learning algorithms. The package implemented all the components, data preprocessing, data splitting, model selection, model fitting and model evaluation, required for defining pipelines to automatically analyze tabular data.
Installation
Install end2endML package by running:
pip install end2endML
on the command line of a Linux system or the Anaconda Prompt on a Windows system. If you don't have root privileges, sometimes you need to add --user after the above commands, then pip will install the package in your home directory.
If you want to install a specific version, please visit https://pypi.org/project/end2endML/ to find the exact version number. For example, you can install version 0.9.2 by pip install end2endML==0.9.2.
User guide
The user guide is available at https://end2endml.readthedocs.io/en/latest/.
1 maintainer
Release files for end2endML 0.9.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| end2endML-0.9.3.tar.gz | 24.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| end2endML-0.9.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 55.4 kB
Release files / end2endML-0.9.3.tar.gz
| Download URL | end2endML-0.9.3.tar.gz |
|---|---|
| Size | 24.0 kB |
| 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/3.4.2 importlib_metadata/3.10.0 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.62.1 CPython/3.9.6
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Release files / end2endML-0.9.3-py3-none-any.whl
| Download URL | end2endML-0.9.3-py3-none-any.whl |
|---|---|
| Size | 31.4 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 | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.2 importlib_metadata/3.10.0 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.62.1 CPython/3.9.6
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