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0.2.5 autoembedder-0.2.5-py3-none-any.whl

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Project: autoembedder
Version: 0.2.5
Filename: autoembedder-0.2.5-py3-none-any.whl
Download: [link]
Size: 17685
MD5: 696b47361f35f483d0f97ca6c2608b63
SHA256: ca75b38438d4d888bac225b1ea1ce5b0920a7c9b290bdfefedc514d681a3889e
Uploaded: 2023-02-07 08:36:09 +0000

dist-info

METADATA · WHEEL · RECORD

METADATA

Metadata-Version: 2.1
Name: autoembedder
Version: 0.2.5
Summary: PyTorch autoencoder with additional embeddings layer for categorical data.
Author: Christopher Lemke
Author-Email: chris[at]syhbl.mozmail.com
Home-Page: https://chrislemke.github.io/autoembedder/
Project-Url: Documentation, https://chrislemke.github.io/autoembedder/
Project-Url: Repository, https://github.com/chrislemke/autoembedder
License: MIT
Keywords: autoencoder,embeddings,model,pytorch,neural network,machine learning,data science
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Requires-Python: >=3.8,<3.11
Requires-Dist: dask (==2022.12.0)
Requires-Dist: einops (<0.7.0,>=0.6.0)
Requires-Dist: fastparquet (==2022.12.0)
Requires-Dist: numpy (==1.24.1)
Requires-Dist: pandas (<2.0.0,>=1.5.2)
Requires-Dist: pytorch-ignite (<0.5.0,>=0.4.10)
Requires-Dist: tensorboard (==2.11.0)
Requires-Dist: torch (<2.0.0,>=1.13.1)
Requires-Dist: torchinfo (<2.0.0,>=1.7.1)
Requires-Dist: tqdm (<5.0.0,>=4.64.1)
Requires-Dist: typer (<0.8.0,>=0.7.0)
Description-Content-Type: text/markdown
[Description omitted; length: 12654 characters]

WHEEL

Wheel-Version: 1.0
Generator: poetry-core 1.4.0
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

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autoembedder-0.2.5.dist-info/RECORD — —