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sigllm

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0.0.3 sigllm-0.0.3-py3-none-any.whl
0.0.2 sigllm-0.0.2-py2.py3-none-any.whl
0.0.3.dev0 sigllm-0.0.3.dev0-py3-none-any.whl

Wheel Details

Project: sigllm
Version: 0.0.3
Filename: sigllm-0.0.3-py3-none-any.whl
Download: [link]
Size: 34983
MD5: 95bf2a2f316c8a7759250fc8c7d6bbc4
SHA256: 30f739c0aa72190f6d7802ba1110b2314b44d0a6c7f8994adf8a8119d16e5fc1
Uploaded: 2025-02-06 20:34:42 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt

METADATA

Metadata-Version: 2.2
Name: sigllm
Version: 0.0.3
Summary: LLMs for unsupervised time series anomaly detection
Author-Email: MIT Data To AI Lab <dailabmit[at]gmail.com>
Project-Url: homepage, https://github.com/sintel-dev/sigllm/
License: MIT license
Keywords: sigllm,LLM4TS,timeseries,anomaly-detection
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
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Requires-Dist: tomli (<3,>=2.0.0); extra == "test"
Requires-Dist: sigllm[test]; extra == "dev"
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Requires-Dist: coverage (>=4.5.1); extra == "dev"
Requires-Dist: tox (>=2.9.1); extra == "dev"
Requires-Dist: invoke; extra == "dev"
Provides-Extra: test
Provides-Extra: dev
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 4139 characters]

WHEEL

Wheel-Version: 1.0
Generator: setuptools (75.8.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

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sigllm-0.0.3.dist-info/RECORD — —

top_level.txt

sigllm

entry_points.txt

[mlblocks]
pipelines = sigllm:MLBLOCKS_PIPELINES
primitives = sigllm:MLBLOCKS_PRIMITIVES