kalayil
This project is a python module for making machine learning workflow easier than ever before.
Installation
Run the following to install:
'''python pip install kalayil '''
Usage
'''python
from kalayil import modelling as kl
Rull All Machine Learning Classificatin alogorithms at once and see the results
RunAll(models,data,phase='',scores=None,trained_models = {},use_params=False)
Feature Scale your data OHE_features refers to one hot encoded features. OHE_features are to be listed to avoid them
FeatureScale(data,OHE_features,scaler='MinMaxScaler')
'''
1 maintainer
Metadata
1 maintainer
Release files for kalayil 0.1.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| kalayil-0.1.4.tar.gz | 11.9 kB | Without provenance | Details for kalayil-0.1.4.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| kalayil-0.1.4-py3-none-any.whl | Python 3 | none | any | Details for kalayil-0.1.4-py3-none-any.whl |
Total release size: 20.1 kB
Release files / kalayil-0.1.4.tar.gz
| Download URL | kalayil-0.1.4.tar.gz |
|---|---|
| Size | 11.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
44e06774dd2dbd6b22a85e263046fe1a06e5a1780e09d681867231fdf1aa81fa
|
|
BLAKE2b-256 checksum How to use checksums |
d39acb8eba3479b1184cb5eddc42097b8fcce610e3237459ebb7dac4b74c192f
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/45.0.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.7.3
|
Release files / kalayil-0.1.4-py3-none-any.whl
| Download URL | kalayil-0.1.4-py3-none-any.whl |
|---|---|
| Size | 8.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
1444160a0ffa736bb6a9fd9352013826e12242090de81c2e78f2dd98039ebff5
|
|
BLAKE2b-256 checksum How to use checksums |
f6485feb3bfb4f6d932cc64b35dc4de72f7ed9736c0745da035b5e137dc871c4
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/45.0.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.7.3
|
Security for kalayil 0.1.4
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
