Skip to main content

Simplifying workflows for generating embeddings of structures.

Project description

Structure embedding

structure-embedding is a lightweight package that streamlines dimensionality reduction for materials-based feature vectors by seamlessly managing data subsets for efficient analysis.

Implemented algorithms

  • UMAP

Quickstart

pip install -q structure-embedding

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

structure_embedding-0.0.3.tar.gz (9.3 kB view details)

Uploaded Source

Built Distribution

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

structure_embedding-0.0.3-py3-none-any.whl (10.4 kB view details)

Uploaded Python 3

File details

Details for the file structure_embedding-0.0.3.tar.gz.

File metadata

  • Download URL: structure_embedding-0.0.3.tar.gz
  • Upload date:
  • Size: 9.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for structure_embedding-0.0.3.tar.gz
Algorithm Hash digest
SHA256 8faa58a479ad10f32e45c3bfce9fee7637e7c258e607e5d8ae82961f9300bbc9
MD5 59e93f539c1455544283e3da52330790
BLAKE2b-256 9e9cfc47e18d35ad306f17fa119d229b17e382d0c37fcc76af0812be92547d40

See more details on using hashes here.

Provenance

The following attestation bundles were made for structure_embedding-0.0.3.tar.gz:

Publisher: publish.yaml on tcnicholas/structure-embedding

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file structure_embedding-0.0.3-py3-none-any.whl.

File metadata

File hashes

Hashes for structure_embedding-0.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 f53c63d2d70c3ee46f4639dc700fee24b492196b754a662ce52662747a94ac10
MD5 0cb9c9b19380fa520486f47ae68c2376
BLAKE2b-256 aba549e5b0aa5322a71ef7f1c7ddcc46420aff048bd4331cc8ef72a301f3bd06

See more details on using hashes here.

Provenance

The following attestation bundles were made for structure_embedding-0.0.3-py3-none-any.whl:

Publisher: publish.yaml on tcnicholas/structure-embedding

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

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