Skip to main content

Structure embedding

structure-embedding is a lightweight package that streamlines dimensionality reduction for materials-based feature vectors by handling data subsets to assist in post-analysis routines.

Implemented algorithms

  • UMAP

Quickstart

pip install -q structure-embedding

Metadata

Release files for structure-embedding 0.0.8

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for structure-embedding 0.0.8
File Size Uploaded
structure_embedding-0.0.8.tar.gz 9.8 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for structure-embedding 0.0.8
File Interpreter ABI Platform
structure_embedding-0.0.8-py3-none-any.whl Python 3 none any Details

Total release size: 20.8 kB

Release files / structure_embedding-0.0.8.tar.gz

Download URL structure_embedding-0.0.8.tar.gz
Size 9.8 kB
Tags Source
SHA-256 checksum
How to use checksums
3f62cf7fee55767b70825e49e5eed4db9c938f5c4400912dda4fa6e4cc52d98e
BLAKE2b-256 checksum
How to use checksums
55c6e4746c962b60fba9561e2f5da5cd493b4939e516d660627ee9c7fd000ec0
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.12.9

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Mar 11, 2025.

Transparency log

Release files / structure_embedding-0.0.8-py3-none-any.whl

Download URL structure_embedding-0.0.8-py3-none-any.whl
Size 11.0 kB
Tags Python 3
SHA-256 checksum
How to use checksums
e68b246bb0ecb464ddba533a2610a19dddc1a7067e62eed85f6fb59244b30137
BLAKE2b-256 checksum
How to use checksums
0839ab804966152cbf7a0ea1c60ce81cc41ac1cc8c20652a120db1dda9877731
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.12.9

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Mar 11, 2025.

Transparency log

Release history Release notifications | RSS feed

This release

0.0.8 This release

2 release files

0.0.7

2 release files

0.0.6

2 release files

0.0.5

2 release files

0.0.4

2 release files

0.0.3

2 release files

0.0.1

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page