Skip to main content

Data Curation in Polaris

Project description

Auroris

PyPI Conda PyPI - Downloads Conda PyPI - Python Version

test release code-check doc

Tools for data curation in the Polaris ecosystem.

Getting started

from auroris.curation import Curator
from auroris.curation.actions import MoleculeCuration, OutlierDetection, Discretization

# Define the curation workflow
curator = Curator(
    steps=[
        MoleculeCuration(input_column="smiles"),
        OutlierDetection(method="zscore", columns=["SOL"]),
        Discretization(input_column="SOL", thresholds=[-3]),
    ],
    parallelized_kwargs = { "n_jobs": -1 }
)

# Run the curation
dataset, report = curator(dataset)

Download files

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

Source Distribution

auroris-0.1.2.tar.gz (151.7 kB view details)

Uploaded Source

Built Distribution

auroris-0.1.2-py3-none-any.whl (30.0 kB view details)

Uploaded Python 3

File details

Details for the file auroris-0.1.2.tar.gz.

File metadata

  • Download URL: auroris-0.1.2.tar.gz
  • Upload date:
  • Size: 151.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for auroris-0.1.2.tar.gz
Algorithm Hash digest
SHA256 4159b6f0afca275cda55d3b1d8853e3f4020e314972e0d77b5640bd4620a7b8d
MD5 c6374a5271e4a72850256529470ecf08
BLAKE2b-256 ca7ca30dba3585e50d44f53846718ecb94644618e55aab985944ea0c739d96ac

See more details on using hashes here.

File details

Details for the file auroris-0.1.2-py3-none-any.whl.

File metadata

  • Download URL: auroris-0.1.2-py3-none-any.whl
  • Upload date:
  • Size: 30.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for auroris-0.1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 1bd9f305fd0a0299a211aae4e9e302fde4aecec6c3d77b173ac9fefdccce9283
MD5 b98855007ed16ff1c76443e233dc7cb3
BLAKE2b-256 52f1cce15eb7bdf702b573e1d4f1c1f6d8810e5294fba252799c15dce6ce3ba3

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