imperio

View on PyPIReverse Dependencies (0)

0.1.5 imperio-0.1.5-py3-none-any.whl

Wheel Details

Project: imperio
Version: 0.1.5
Filename: imperio-0.1.5-py3-none-any.whl
Download: [link]
Size: 24189
MD5: 53c003ab9289e4b4d5a003d6fbc0248b
SHA256: 3377a04d1e826fd0356564c3a6afc2fe79e0655e4e269ea29ca61e77cea7ac55
Uploaded: 2023-02-05 15:13:19 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: imperio
Version: 0.1.5
Summary: Imperio is a python sci-kit learn inspired package for feature engineering.
Author: SigmoidAI - Păpăluță Vasile, Stojoc Vladimir
Author-Email: vladimir.stojoc[at]gmail.com
Home-Page: https://github.com/SigmoidAI/imperio
Download-Url: https://github.com/ScienceKot/kydavra/archive/v1.0.tar.gz
License: MIT
Keywords: ml,machine learning,feature engineering,python,data science
Classifier: Development Status :: 3 - Alpha
Classifier: Framework :: Jupyter
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: scikit-learn
Description-Content-Type: text/markdown
License-File: LICENSE.txt
[Description omitted; length: 2646 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.37.1)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
imperio/BoxCox.py sha256=F63-hwla3qRYueJL384bEHPp94PEqiedgiyGCkLpqwA 6426
imperio/Clusterize.py sha256=sRWEjvhUF0YHs0jInFIKAHExRWT2vM1L6TcYxQSPgv4 5441
imperio/Combinator.py sha256=Nvzx2iz5jDC78U-FwYZaewlZXCCDF7UhAvXi5oKWWTM 8039
imperio/FrequencyImputation.py sha256=b-ciVKXtKARd56QoHzsbW5QW-Z310_3Q329d6qaSzf0 7132
imperio/Log.py sha256=JDm3KMK0mJb48SW2owo_2ecs6RqClSltPSdTHF-ua-Y 5817
imperio/Smoothing.py sha256=pHyKtlUuBkdJe5ap-Ei_AZVU_I7N0mHVwoPSQV0ZsI8 6775
imperio/SpatialSign.py sha256=fHPNFN_Aa3mspLS3CcLcM0ykVm822hSD4Z-X5UO6-yU 5401
imperio/TargetImputation.py sha256=DSfB6Yn_5sqB7B-qmWKnghtwkNhAzzeRNIfJhi6LI3E 8783
imperio/Whitening.py sha256=zfA5ACzo5s9rLZQx5rXVKv204lDB0GA811pfu4f2BNs 5258
imperio/YeoJohnson.py sha256=Hg77Yb_V41JF1SZLBSS7uftRkn70pfzdmwERc_tGxeU 6510
imperio/ZCA.py sha256=S1KywVNcS1aRe-bMTMIryMrQRPINpVbHfOQEFxgu8X8 5127
imperio/__init__.py sha256=vROOe4gaGhgg7bA29m113RLebF7talOXpzacbqc9PU4 507
imperio/erorrs.py sha256=wxp7k9kn5FUh5pflORUbXx6Ze0_QI16m1mLm_jr6bdo 51
imperio-0.1.5.dist-info/LICENSE.txt sha256=Z_R0qA8dBa_UBMGgM1fEedm0wV7CBqwIBaBEOu4iT5w 1077
imperio-0.1.5.dist-info/METADATA sha256=Z-0kgfFNiDlCuxYtdxpI7zanuI4mZL8qt_OhLp6MQRo 3974
imperio-0.1.5.dist-info/WHEEL sha256=G16H4A3IeoQmnOrYV4ueZGKSjhipXx8zc8nu9FGlvMA 92
imperio-0.1.5.dist-info/top_level.txt sha256=9p__LEznAH2RhsrJI93aUir7Hd_JznJF47pr4HbpC1s 8
imperio-0.1.5.dist-info/RECORD

top_level.txt

imperio