On Embeddings for Numerical Features in Tabular Deep Learning.

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for Yura52 from gravatar.com Yura52

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Apache Software License
  • Author: Yury Gorishniy
  • Tags artificial intelligence, deep learning, library, python, pytorch, research, torch, tabular, tabular data
  • Requires: Python >=3.8
Classifiers

Project description

The author of this package has not provided a project description

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for Yura52 from gravatar.com Yura52

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Apache Software License
  • Author: Yury Gorishniy
  • Tags artificial intelligence, deep learning, library, python, pytorch, research, torch, tabular, tabular data
  • Requires: Python >=3.8
Classifiers

Release history Release notifications | RSS feed

0.0.11

0.0.11.dev0 pre-release

0.0.10

0.0.9

0.0.8

0.0.6

0.0.5

0.0.4

0.0.3

0.0.2

This version

0.0.1

0.0.1.dev1 pre-release

0.0.1.dev0 pre-release

Download files

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

Source Distribution

rtdl_num_embeddings-0.0.1.tar.gz (1.0 MB view details)

Uploaded Source

Built Distribution

rtdl_num_embeddings-0.0.1-py3-none-any.whl (11.7 kB view details)

Uploaded Python 3

File details

Details for the file rtdl_num_embeddings-0.0.1.tar.gz.

File metadata

  • Download URL: rtdl_num_embeddings-0.0.1.tar.gz
  • Upload date:
  • Size: 1.0 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-requests/2.31.0

File hashes

Hashes for rtdl_num_embeddings-0.0.1.tar.gz
Algorithm Hash digest
SHA256 616c6872ee9e9dc785e0c17f2b321c7741b30e449f35014d3ef8a073b9ade2bf
MD5 f0e21669b64dbe06cb71074dfcd12825
BLAKE2b-256 266acad385acbc9ed254116d3c321d13839669f9fc631dc8a625b498b21a513f

See more details on using hashes here.

File details

Details for the file rtdl_num_embeddings-0.0.1-py3-none-any.whl.

File metadata

File hashes

Hashes for rtdl_num_embeddings-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 d34be1b3974fe17d9f2760dba33ae9492e277f2dc2395e7725bb56f3b948bab7
MD5 dba6dbec6c353e2fc4ea6f04bbcbb76d
BLAKE2b-256 5af01cf97c5465cb1dd7fbf78901273f00213899c4202d1527a52c4e525e7bbd

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