ML Lab Kit

Machine Learning Laboratory Programs using Python.

Installation

pip install mllabkit

import mllabkit as ml

ml.list()
ml.exp1()

Features:

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

Source distribution for mllabkitbyvh 1.0.1
File	Size	Uploaded
mllabkitbyvh-1.0.1.tar.gz	4.6 kB	Jun 28, 2026	Details

Table of built distributions (wheels) for mllabkitbyvh 1.0.1
File	Interpreter	ABI	Platform	Reset
mllabkitbyvh-1.0.1-py3-none-any.whl 5.1 kB Jun 28, 2026	Python 3	none	any	Details

Total release size:9.8 kB

Download URL	mllabkitbyvh-1.0.1.tar.gz
Size	4.6 kB
Tags	Source
SHA-256 checksum How to use checksums	`2e471d5d8ac9de2e1f784f872475a9302ea2b9be1f867871af9887a8e6cd2f0f`
BLAKE2b-256 checksum How to use checksums	`8dbb48030188cb8c202d7149f46c3567e2064509223108731cbf05111b7c7bdc`
Upload date	Jun 28, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.2.0 CPython/3.13.2`

Download URL	mllabkitbyvh-1.0.1-py3-none-any.whl
Size	5.1 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`b0869ded7f988bb1126d3f543a74457ed096a47b0c08ab9ed710488598dad98d`
BLAKE2b-256 checksum How to use checksums	`e6afa11b8c564704760ae7560aa06673286db365fa950f98ac8e43d68da8481a`
Upload date	Jun 28, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.2.0 CPython/3.13.2`