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ML - Duct : A pipeline Framework

A personal package for Machine Learning Pipelines

Usage

A machine learning framework, to incorporate from data processing to modelling. PS: Inspired from Keras

# Imports

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

Source distribution for mlduct 0.0.0.6
File	Size	Uploaded
mlduct-0.0.0.6.tar.gz	2.4 kB	Jul 24, 2020	Details

Table of built distributions (wheels) for mlduct 0.0.0.6
File	Interpreter	ABI	Platform	Reset
mlduct-0.0.0.6-py3-none-any.whl 3.2 kB Jul 24, 2020	Python 3	none	any	Details

Total release size: 5.6 kB

Download URL	mlduct-0.0.0.6.tar.gz
Size	2.4 kB
Tags	Source
SHA-256 checksum How to use checksums	`a2d57edf061663f8094078cc952fe2399813833bf6e0d3b95852d88b4a2ccdf6`
BLAKE2b-256 checksum How to use checksums	`15b9734c39a7e390b05a4d739f29e3a09a87772356a89da80069a5a4b951064c`
Upload date	Jul 24, 2020
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.7.6`

Download URL	mlduct-0.0.0.6-py3-none-any.whl
Size	3.2 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`894544df1993e2292be5a6ec2e1054688db7828f2b7ef787936cd4452adf7c5d`
BLAKE2b-256 checksum How to use checksums	`78ce69065d0e770d7152cf05bb3f09fd3c3108f3c18868643ff36f6285997cf3`
Upload date	Jul 24, 2020
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.7.6`

This release

0.0.0.6 This release