Skip to main content

A package to explore and visualise a dataset in preparation for an ML project

Project description

DataVizML

Code style: black Coverage Status Documentation Status PyPI version PyPI - Wheel

DataVizML is a high-level Object Orientated Python package which aims to provide an easy and intuitive way of exploring the distribution of a set of ML model features and their relationship to a proposed target

Installation

It is recommended to install DataVizML using pip:

pip install datavizml

Documentation

Read the Docs

Related reading

Predictive Power Score (PPS)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

datavizml-1.9.8.tar.gz (32.2 kB view details)

Uploaded Source

Built Distribution

datavizml-1.9.8-py3-none-any.whl (23.3 kB view details)

Uploaded Python 3

File details

Details for the file datavizml-1.9.8.tar.gz.

File metadata

  • Download URL: datavizml-1.9.8.tar.gz
  • Upload date:
  • Size: 32.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.2

File hashes

Hashes for datavizml-1.9.8.tar.gz
Algorithm Hash digest
SHA256 4c2a797c4ca7e5c4f552d820f401e6025f81f123ec312a8bfd18d5bde7080ab8
MD5 1ee1cfed3a1414d011dc6c60e7f1f34d
BLAKE2b-256 570bc339199fc759b1552c4986fe5ecb7f817c41b939cc9e7c7fa37d2b260d84

See more details on using hashes here.

File details

Details for the file datavizml-1.9.8-py3-none-any.whl.

File metadata

  • Download URL: datavizml-1.9.8-py3-none-any.whl
  • Upload date:
  • Size: 23.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.2

File hashes

Hashes for datavizml-1.9.8-py3-none-any.whl
Algorithm Hash digest
SHA256 7a44dc6e95c01a1135842e4488ed06e67fb5724a0a11830c2b7d5e89900a515e
MD5 87c5a82c5fa26e0ee7910cf2dcc4b614
BLAKE2b-256 7db965df9130c6637df1a2a9bbb0b5c8ab3ac37109a83c0fd7d7e5f2a2fa4864

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page