Skip to main content

nanotext

Name inspired by fastText.

Run tests:

cd .../nanotext/
pytest  # or python setup.py test
TODO: turn embedding in gensim fmt into something similar to glove (bin?)
would then be easier to train/ unfreeze and then save again, to be loaded w/ some model eg for PUL prediction

https://github.com/plasticityai/magnitude

nanotext compute

takes annotation (load domains) and our model and computes vector

nanotext train corpus model

nanotext compare ...

nanotext search ...

nanotext taxonomy (calculate a gtdb based taxonomy and get closest functional genome and use that or distance)

like sourmash really



check sourmash publication

nanotext predict model=medium
nanotext predict model=pul

Metadata

Release files for nanotext 0.0.1

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

Source distribution (sdist)

Source distribution for nanotext 0.0.1
File Size Uploaded Provenance
nanotext-0.0.1.tar.gz 5.7 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for nanotext 0.0.1
File Interpreter ABI Platform
nanotext-0.0.1-py3-none-any.whl Python 3 none any Details

Total release size: 13.0 kB

Release files / nanotext-0.0.1.tar.gz

Download URL nanotext-0.0.1.tar.gz
Size 5.7 kB
Tags Source
SHA-256 checksum
How to use checksums
a3da6978f2b1f71869130b719f018b3432207399e112e6e45e55d9ad596cbe59
BLAKE2b-256 checksum
How to use checksums
e7da90da39255f82c9544d8f6b6fc319b42a7768332f09b999005c01f1e426bd
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.12.1 pkginfo/1.4.2 requests/2.21.0 setuptools/40.6.3 requests-toolbelt/0.8.0 tqdm/4.26.0 CPython/3.6.6

Release files / nanotext-0.0.1-py3-none-any.whl

Download URL nanotext-0.0.1-py3-none-any.whl
Size 7.3 kB
Tags Python 3
SHA-256 checksum
How to use checksums
ce4c958c3022e48cf838efe4bb31570600c8d1c98ef121b9453967f4357df2a4
BLAKE2b-256 checksum
How to use checksums
61f7b4c6f2b9399a865488322001a968592ea4af5d85b70fb7e4c448c0d9c36f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.12.1 pkginfo/1.4.2 requests/2.21.0 setuptools/40.6.3 requests-toolbelt/0.8.0 tqdm/4.26.0 CPython/3.6.6

Security for nanotext 0.0.1

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.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

Release history Release notifications | RSS feed

This release

0.0.1 This release

2 release files No provenance

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