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MachineLearningComparisonPipeline

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0.2.4 MachineLearningComparisonPipeline-0.2.4-py3-none-any.whl

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Project: MachineLearningComparisonPipeline
Version: 0.2.4
Filename: MachineLearningComparisonPipeline-0.2.4-py3-none-any.whl
Download: [link]
Size: 11527
MD5: 1026d956256947932762518d5ed47d42
SHA256: 22244a85c6d9190ca7e83fad1150be82d6fc5abd139fb870309fa1591e6f55fa
Uploaded: 2024-11-14 20:53:24 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: MachineLearningComparisonPipeline
Version: 0.2.4
Summary: Pipeline for analysis of the machine learning applications in Sci-Kit Learn
Author-Email: "Dr. Frank Mobley" <frank.mobley.1[at]afrl.af.mil>, Gregory Bowers <gregory.bowers.ctr[at]us.af.mil>
Project-Url: Homepage, https://gitlab.com/python-audio-feature-extraction/machine-learning-pipeline
License: MIT
Keywords: machine learning,feature extraction,audio
Requires-Python: >=3.7
Requires-Dist: numpy (>=1.21.5)
Requires-Dist: pandas (>=1.4.3)
Requires-Dist: scipy (>=1.9.1)
Requires-Dist: statsmodels (>=0.13.2)
Requires-Dist: scikit-learn (>=1.1.0)
Requires-Dist: salib (>=1.1.1)
Requires-Dist: tqdm (>=4.50.0)
Requires-Dist: json5 (>=0.9.0)
Requires-Dist: bottleneck (>=1.3.6)
Description-Content-Type: text/markdown
[Description omitted; length: 1707 characters]

WHEEL

Wheel-Version: 1.0
Generator: setuptools (75.5.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
machine_learning_comparison_pipeline/__init__.py sha256=e_Zu8d4yP8jVS6WCw9QcUeo5j2TMv-Nzi4YyDfYTuI4 78
machine_learning_comparison_pipeline/pipeline.py sha256=GhZHRJGQlhNf5Q9x5vpZFDIVEJmXdRuqmCCsLw94ZHY 35035
MachineLearningComparisonPipeline-0.2.4.dist-info/METADATA sha256=gDznG-du6iKWSQcqZ6yD09bvcfKgca4rGAMpC9_bVp8 2540
MachineLearningComparisonPipeline-0.2.4.dist-info/WHEEL sha256=R06PA3UVYHThwHvxuRWMqaGcr-PuniXahwjmQRFMEkY 91
MachineLearningComparisonPipeline-0.2.4.dist-info/top_level.txt sha256=AzpH-agg6QX36j5tUQ2Ot_q3BKiP3rbr7b1QUzib7k0 37
MachineLearningComparisonPipeline-0.2.4.dist-info/RECORD — —

top_level.txt

machine_learning_comparison_pipeline