sk · PyPI

Utilities for scikit-learn to quickly build and experiment with machine learning models.

Installation

pip install sk

from sk import *

iris = datasets.load_iris()
X, y = iris.data, iris.target

model = SVC(gamma='scale')
model.fit(X, y)

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

Source distribution for sk 0.0.1
File	Size	Uploaded
sk-0.0.1.tar.gz	1.8 kB	Oct 16, 2019	Details

Download URL	sk-0.0.1.tar.gz
Size	1.8 kB
Tags	Source
SHA-256 checksum How to use checksums	`1442e204f70017b0857bdf2d8e9f7264797ca5c0213e7bf03fcc69579e805f15`
BLAKE2b-256 checksum How to use checksums	`7a82f13977ecd1f31e3e366b9fee28a909fb47367e03047c3b2a2aa6b9a2ce74`
Upload date	Oct 16, 2019
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/1.11.0 pkginfo/1.4.2 requests/2.18.4 setuptools/41.4.0 requests-toolbelt/0.8.0 tqdm/4.20.0 CPython/3.6.4`