Skip to main content

A utility package for processing data for LSTM Attention models in relation classification

Project description

lstmAtten_datautils

A Python package for processing data for LSTM Attention models in relation classification tasks.

Installation

pip install lstmAtten_datautils

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

lstmatten_datautils-2.2.2.tar.gz (8.8 kB view details)

Uploaded Source

Built Distribution

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

lstmAtten_datautils-2.2.2-py3-none-any.whl (9.5 kB view details)

Uploaded Python 3

File details

Details for the file lstmatten_datautils-2.2.2.tar.gz.

File metadata

  • Download URL: lstmatten_datautils-2.2.2.tar.gz
  • Upload date:
  • Size: 8.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.21

File hashes

Hashes for lstmatten_datautils-2.2.2.tar.gz
Algorithm Hash digest
SHA256 eb5f5fe33095f216448dcfeaedccb02d19b4b8ec3e97a4477adc4e668565d311
MD5 a9bceac2b2c2897ad0e2b98ec1170481
BLAKE2b-256 edf81b2b25b52f905172f01b1835c8dc8cd494fa713a5edbc5f62f195b7bf3be

See more details on using hashes here.

File details

Details for the file lstmAtten_datautils-2.2.2-py3-none-any.whl.

File metadata

File hashes

Hashes for lstmAtten_datautils-2.2.2-py3-none-any.whl
Algorithm Hash digest
SHA256 e1f137fac5ff126a2647f32a6faaaac1eb2fe4ee51ddf37a65207c834620ff54
MD5 42b101bafb4809973d906f09f275fe39
BLAKE2b-256 3e60ef7f9113374a2058cd6e6da39dc2ba27834c899c8c57fb09ccc031e67e24

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