Tools to handle data transformations for tabular-ish deep learning models.

Navigation

Verified details

These details have been verified by PyPI
Project links
GitHub Statistics
Maintainers
Avatar for play4honor from gravatar.com play4honor

Unverified details

These details have not been verified by PyPI
Meta
  • License: MIT License (MIT License Copyright (c) Play4Honor Permission is hereby granted, free of charge, to any person o...)
  • Requires: Python >=3.10
Classifiers
Report project as malware

Project description

Morphers

Morphers are a collection of classes intended to streamline preprocessing and network construction for neural networks with tabular-style features.

Currently, these are expecting to handle transformations with Polars and then produce network layers for use with Torch. So...hopefully that's what you have.

Project details

Verified details

These details have been verified by PyPI
Project links
GitHub Statistics
Maintainers
Avatar for play4honor from gravatar.com play4honor

Unverified details

These details have not been verified by PyPI
Meta
  • License: MIT License (MIT License Copyright (c) Play4Honor Permission is hereby granted, free of charge, to any person o...)
  • Requires: Python >=3.10
Classifiers

Release history Release notifications | RSS feed

This version

0.1.2

0.1.1

0.1.0

Download files

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

Source Distribution

morphers-0.1.2.tar.gz (22.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

morphers-0.1.2-py3-none-any.whl (9.7 kB view details)

Uploaded Python 3

File details

Details for the file morphers-0.1.2.tar.gz.

File metadata

  • Download URL: morphers-0.1.2.tar.gz
  • Upload date:
  • Size: 22.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for morphers-0.1.2.tar.gz
Algorithm Hash digest
SHA256 16e424d2fcdfe19c4cd8ff370a373c02ed814b26ab5ed2c88e09246adc99a0f1
MD5 13c2860a1f0917eb64066d598d11cb2c
BLAKE2b-256 2465b2144e234304ded44b9b2f4387686288d6e9b41c3cf540b889cf59c0b02d

See more details on using hashes here.

File details

Details for the file morphers-0.1.2-py3-none-any.whl.

File metadata

  • Download URL: morphers-0.1.2-py3-none-any.whl
  • Upload date:
  • Size: 9.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for morphers-0.1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 ded2ffde5d7a2fee26e620851a457560e06d03fde87a8331db898237cd1a8b93
MD5 2829bdd5f113b940303551bc4e62ec3d
BLAKE2b-256 23294d0ba8a483703553e6f78d81bda13929fac68a183464184d7b7779f62fe5

See more details on using hashes here.

Supported by

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