Skip to main content

mallu

This project is a python module for making machine learning workflow easier than ever before.

Installation

Run the following to install:

'''python pip install mallu '''

Usage

'''python

import mallu as ml

from mallu import santa as san

from mallu import model as mlm

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')

'''

About Author

Santo K Thomas, who had completed Post-Graduate Diploma on Data Science and Enginneering from Great Lakes (Great Learning), India

Metadata

Release files for mallu 0.1.6

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for mallu 0.1.6
File Size Uploaded Provenance Actions
mallu-0.1.6.tar.gz 17.7 kB Without provenance Details for mallu-0.1.6.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for mallu 0.1.6
File Interpreter ABI Platform Actions
mallu-0.1.6-py3-none-any.whl Python 3 none any Details for mallu-0.1.6-py3-none-any.whl

Total release size: 26.3 kB

Release files / mallu-0.1.6.tar.gz

Download URL mallu-0.1.6.tar.gz
Size 17.7 kB
Tags Source
SHA-256 checksum
How to use checksums
532bdcc265167a49056bf2943a8a2b92025061d74f712e6b68de0428c20b1025
BLAKE2b-256 checksum
How to use checksums
52a2f5bfb3e66cb741171e7aed75b087e2b502090af7fb18d6650ea0aa253a2a
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 / mallu-0.1.6-py3-none-any.whl

Download URL mallu-0.1.6-py3-none-any.whl
Size 8.6 kB
Tags Python 3
SHA-256 checksum
How to use checksums
72919e59939b7e3dfcd18f8c372999239a246aa125085050f1cb75abd578f864
BLAKE2b-256 checksum
How to use checksums
b1091a9664550000b0885530e29833966556419fe628c25433e0aa56a719930d
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 mallu 0.1.6

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.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page