slickml

View on PyPIReverse Dependencies (0)

0.3.1 slickml-0.3.1-py3-none-any.whl

Wheel Details

Project: slickml
Version: 0.3.1
Filename: slickml-0.3.1-py3-none-any.whl
Download: [link]
Size: 116565
MD5: a8e39ab6ddecc87b40ee34995278233b
SHA256: 27f238f6824739608b375ca5224629699ff6689f3407cb0c04cfa62441921247
Uploaded: 2024-07-26 00:53:31 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: slickml
Version: 0.3.1
Summary: SlickML: Slick Machine Learning in Python
Author: Amirhessam Tahmassebi
Author-Email: admin[at]slickml.com
Maintainer: Amirhessam Tahmassebi
Maintainer-Email: admin[at]slickml.com
Home-Page: https://www.slickml.com
Project-Url: Documentation, https://www.docs.slickml.com
Project-Url: Repository, https://github.com/slickml/slick-ml
License: MIT
Keywords: python,data-science,machine-learning
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Typing :: Typed
Requires-Python: >=3.9,<3.13
Requires-Dist: bayesian-optimization (>=1.2)
Requires-Dist: click (>=8.1)
Requires-Dist: hyperopt (>=0.2)
Requires-Dist: matplotlib (>=3.5)
Requires-Dist: numpy (<2.0,>=1.22)
Requires-Dist: pandas (<2.0,>=1.4)
Requires-Dist: python-glmnet (>=2.2)
Requires-Dist: scikit-learn (>=1.5)
Requires-Dist: scipy (>=1.9)
Requires-Dist: seaborn (>=0.12)
Requires-Dist: shap (>=0.46)
Requires-Dist: statsmodels (>=0.13)
Requires-Dist: xgboost (<2.0,>=1.7)
Description-Content-Type: text/markdown
[Description omitted; length: 9431 characters]

WHEEL

Wheel-Version: 1.0
Generator: poetry-core 1.8.1
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
CHANGELOG.md sha256=cjMBYwhsuhYK_833Oe62323aXSMy9Y1vACFIBWTX-VA 12862
CODE_OF_CONDUCT.md sha256=ofXvcO_WykhvuhaVLaxcsToFMkoYifPF7ZZO45QsY6I 5219
CONTRIBUTING.md sha256=VAevrYc2xMPzdxMbIZ3Z2TTz4nnvdsITmvh9rxUHHps 12674
README.md sha256=pJzCvDMcpPsL7I_FKrLvYEPivsvGy88AKhYMhTzfYL0 9594
slickml/__init__.py sha256=bUrAKBSLYIye6U5xLXLuU6vloTsfd2W3G7GAC379Np0 73
slickml/base/__init__.py sha256=RaqnOuAwOrWG9sB13TL1G8sHjKh728TuBGhTV2dhzV0 221
slickml/base/_enum.py sha256=Y-wrpowosHvZdHtURhYmCiWAcYhcDDvYGzy8M4qT5xE 1637
slickml/base/_estimator.py sha256=aQBN1TiI3Z2CUGD-yztWjd9Cj2ZYzCPN6ntY-LXykVs 11007
slickml/base/_metrics.py sha256=tLXaL7B6VgXd-nH02ydXO4zMDNK2900ViyTcghczpBA 1038
slickml/beta/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
slickml/classification/__init__.py sha256=yf4UEM3pTiacfVoWqGiz0-NQgXnEeo5X1dEj9Zgj84A 283
slickml/classification/_glmnet.py sha256=HnnH53JLEuyHqVqcgM-XUqK2doBIZ5pv6SVjx1DS3PY 44467
slickml/classification/_xgboost.py sha256=Za_ap-TIRWAwVZdnQJEtmq9dq4Z83ZlURQMQeg752q8 26996
slickml/classification/_xgboostcv.py sha256=MFfUY2SL0U8aYvl6mhwl1_IXR91NOBkZM2L3rtU4Fk0 17225
slickml/cli/__init__.py sha256=eSaO8s7EeRGyRcG9K0-hHQYrxbyHf2kSBE7DTN8uAtc 59
slickml/cli/_cli.py sha256=v7cBm256S5tgPJ_pgfwxEBdRSVb-QVqjvh9mZ2q-pXc 4545
slickml/metrics/__init__.py sha256=sCpeaiIgsie-Fwt6V7k2zX6N3mGcffYlVRKcDllhU1U 205
slickml/metrics/_classification.py sha256=yVyrCtajRxgyi9Qds93Jgx-tHW9Wsg1NV1jBsJhSWyk 24367
slickml/metrics/_regression.py sha256=Xv57a1usppHysxnK6S_kcH2dk7-EQM14v0PKmlyYSQ0 17806
slickml/optimization/__init__.py sha256=aNNIonzpkw_6c5z9KlpxTA7x0eWCE1U6jKrTA65uAiY 212
slickml/optimization/_bayesianopt.py sha256=lCsmAPum6mmWw-uadrU_0X3-Fv2OsgM6rHaQ0-WZkYs 20608
slickml/optimization/_hyperopt.py sha256=hDcwbfQtqkNYvi6JFWtEdSu_Hgda5wNtSz1iumHka80 16936
slickml/py.typed sha256=s-RN_T2-TWN0sI9l9UE78Vv5CLXAQavZYuiQrVmy7TQ 55
slickml/regression/__init__.py sha256=z2lHg4qiW1IxkSv9so5LBOMhruay8AiN1mkq5k2dQX8 265
slickml/regression/_glmnet.py sha256=0BdSiJSBQjdZ2uDGeQ7fjQfb4AwtPJi-JO_F6eoZtNQ 40847
slickml/regression/_xgboost.py sha256=iSxLS4JgUV7MvX2DS6rKD5U1j--Vs5G8vCtMMirtmYA 24130
slickml/regression/_xgboostcv.py sha256=TQGYK716piU_IP7xmnnfZeOqlPYEk5q3pHjmS3IN1qY 15682
slickml/selection/__init__.py sha256=YVkA1yxQSySWyzOP498CJ0Ts4gWVGseodZifxVmvg8U 107
slickml/selection/_xgboost.py sha256=oIcdRWqi6xAfb5UqeODWP2yWgd8StjylgbDpv9i31PY 38687
slickml/utils/__init__.py sha256=CxkWB00cqlloTO6PfBU4hu9VLL-Exbh04w9RVPqA44Y 404
slickml/utils/_annotations.py sha256=hp8I9EZm69qEWOWqtve2TGwbeF3NyIGV10UCAmnowyc 2817
slickml/utils/_format.py sha256=aVYF4ZDJay5iQycWiW3HYlgoOvDbdQ5wWgXy8e73NDY 1750
slickml/utils/_transform.py sha256=RGlmKk-kIA2R8m2tveadoMIBf51tkZ8aIF5_DMiWHI4 6944
slickml/utils/_validation.py sha256=GqJMPgArBj3iwL2k129XeNzFsqzCPpCrvoCsHDVJn38 4195
slickml/visualization/__init__.py sha256=iuNJvhaUGGha0pUH6jmGjjGzR0k-1-meuc0KCxLOtmI 818
slickml/visualization/_glmnet.py sha256=KPUAMs0uSkMkL5gU4Ex4Y-q4Sc9Jw0AytpQj9knTNYU 14072
slickml/visualization/_metrics.py sha256=kRejumXj3zcds3514X2ecRe_rJsOIhRRWvLpMl_azf8 17207
slickml/visualization/_selection.py sha256=z3nhntfeHMHr95svWmi-CXfcWd_rp0Zc7WLDuGE8CJg 9819
slickml/visualization/_shap.py sha256=qhp3mUSBDO4FcsigAiN7Vg3pK2h5GehYxmfk8KMIleU 14632
slickml/visualization/_xgboost.py sha256=v94ZhbsIfHbmdWmynFbzDnCvuFAi30A-jhevQJlH4Rs 10735
slickml-0.3.1.dist-info/LICENSE sha256=jFyCGQIdhkF4Shqpj2cJrMzMNPNMJMG0jFvJeFEbIGE 1079
slickml-0.3.1.dist-info/METADATA sha256=-4wFDPdLoIJueimVJFw9nOdcYkG9URlYS-o2OtMVLdE 11253
slickml-0.3.1.dist-info/WHEEL sha256=FMvqSimYX_P7y0a7UY-_Mc83r5zkBZsCYPm7Lr0Bsq4 88
slickml-0.3.1.dist-info/entry_points.txt sha256=kADiDxL987xitLrM0RydDFbLsz4xq3nTTV7ggaVDXYY 43
slickml-0.3.1.dist-info/RECORD

entry_points.txt

slickml = slickml.cli:cli