Skip to main content

This is the library for descriptors calculation, data preprocessing and AutoML.

Project description

NanoDescriptors is a Python library for automated descriptor generation, data preprocessing, and AutoML for nanomaterial property prediction (QSAR/QSPR). Main features Parses complex formulas (core‑shell @, composites -//, non‑stoichiometric, 19 material types)

Calculates >100 descriptors (electronic, thermodynamic, atomic‑mechanical, additive mixture descriptors)

Automatic data cleaning, encoding, skew correction, scaling

AutoML regression/classification with Optuna + SHAP/PLS/RFE feature selection + stacking ensembles

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

nanodesclib-0.0.8.tar.gz (96.8 kB view details)

Uploaded Source

Built Distribution

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

nanodesclib-0.0.8-py3-none-any.whl (104.8 kB view details)

Uploaded Python 3

File details

Details for the file nanodesclib-0.0.8.tar.gz.

File metadata

  • Download URL: nanodesclib-0.0.8.tar.gz
  • Upload date:
  • Size: 96.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.11

File hashes

Hashes for nanodesclib-0.0.8.tar.gz
Algorithm Hash digest
SHA256 933e3b3dc3605fbe4810c5c886d6d2657e7b82d03343efd1bed25458ec3d2384
MD5 a60c1b699414126e626ef89911136a4d
BLAKE2b-256 e734c665741f44d0396ae52bd84ab2834b2eaef6856214b44b449bf93ecdb1eb

See more details on using hashes here.

File details

Details for the file nanodesclib-0.0.8-py3-none-any.whl.

File metadata

  • Download URL: nanodesclib-0.0.8-py3-none-any.whl
  • Upload date:
  • Size: 104.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.11

File hashes

Hashes for nanodesclib-0.0.8-py3-none-any.whl
Algorithm Hash digest
SHA256 1b2dcae1a3839a447bc9d251da82b4c36fa23fafe4b281169291e8590c823b1b
MD5 7cc992af60340aa99f200fbe1f09593c
BLAKE2b-256 1f56f415f86f56934ee51866f7d6a29701c3b19a2cc6554c66da2e5372bacf69

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