kts

View on PyPIReverse Dependencies (0)

0.1.13 kts-0.1.13-py3-none-any.whl

Wheel Details

Project: kts
Version: 0.1.13
Filename: kts-0.1.13-py3-none-any.whl
Download: [link]
Size: 24153
MD5: 4a87bf61e3d3d9bfdbd15c707e144ba1
SHA256: bbea1f0510fc79c437272c668ac1f3820ea9d38ebf38817254a0ec07fa1381a1
Uploaded: 2019-02-17T14:42:04

dist-info

METADATA

Metadata-Version: 2.1
Name: kts
Version: 0.1.13
Summary: Competition-oriented framework for interactive feature engineering and building reproducible pipelines
Author: Nikita Konodyuk
Author-Email: konodyuk[at]gmail.com
Home-Page: https://github.com/konodyuk/kts
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Dist: mprop
Requires-Dist: pandas
Requires-Dist: numpy
Requires-Dist: scikit-learn
Requires-Dist: scikit-optimize
Requires-Dist: matplotlib
Requires-Dist: dill
Requires-Dist: feather-format
Requires-Dist: xgboost
Requires-Dist: lightgbm
Requires-Dist: catboost
Requires-Dist: swifter
Requires-Dist: kts-cli
Description-Content-Type: text/markdown
[Description omitted; length: 982 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.32.3)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
kts/__init__.py sha256=90xKLOVYFQRzhKkOH7Dk98l-z3WmzD0FZjiOEbiC-2Y 345
kts/config.py sha256=oITHF-vJlu8R9JqxUQDqH2fVSe6gvpsn5XDrnzkokAE 500
kts/model.py sha256=WoznSLOCUyOjz3HyUywasXgkufZRBsq3YXBJfJTEBlM 5793
kts/pipeline.py sha256=vdX2jw0OgOStZQ-fKw2jFFiKcs8kWOrH2j4PNvR0yyw 482
kts/cli/__init__.py sha256=xNK5Bfd_QUSFP8RTG5zlaQOzo0yhBbRc5qC6GiY-N28 43
kts/cli/file_system.py sha256=ya_tMLmBjFxQ0GJRUEc2wj-N-1B_9ML4YoUjKw8OYQY 625
kts/feature/__init__.py sha256=m3Xb894bqBQf3ARR63zOQLes8kSInMMefqIY-A6EzcY 142
kts/feature/decorators.py sha256=jsT1D4Wpi8d4nwX2Hxq1R8PqekahoEA6vftmHNBpbTk 4128
kts/feature/stl.py sha256=NJoLoS4y3aSn4whaBwtmQeO7Yqor3pD0_WRfRR3u1sY 4340
kts/feature/storage.py sha256=EI5hKcaKImVrnpFrH9XPEKud9XB7A63pcV_lXjoP2fE 10683
kts/feature/selection/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
kts/feature/selection/selector.py sha256=v3l-nHmNGty7ey2cL90dCnjD8JFzM1i4ahPwBn5wwZE 161
kts/optimization/__init__.py sha256=tzze5gIJgBQ6PxMNOP949ZLoo7I33EGSdoCKjM_9fRo 32
kts/optimization/optimizer.py sha256=cecuoF4PAd500mixWjLZWStT7PBxNJWk_gPDxoMVs9Y 2260
kts/storage/__init__.py sha256=J-StyT5abTmmgKJqzq4PvSVRRQXUEFVMywHVTykkdTo 92
kts/storage/cache_utils.py sha256=Uoip9sCqiom9rBIb1YJmanXL5CmZUWkJYQFTtCtnHTc 2940
kts/storage/caching.py sha256=6udlLMWPNCWfO9UMU-P7yh6Sf-_Cf5-6IWaMywceXng 4570
kts/storage/dataframe.py sha256=dpYPuENayzv-QE7yn5m8GhswcbSk7VYi5j0lergDni8 3101
kts/storage/info.py sha256=_U1MJh9fFm3tfdhyVlQRYSYyTIDffruxOAUVW1NSdNI 1165
kts/storage/source_utils.py sha256=3ieRJFt5YULECg8qM5-RzzWOtZClI8ekcaPht0ClIm4 913
kts/validation/__init__.py sha256=U_tgc3eSl-ebrAXdYRneKLKnsDQ0qly_8Kj1naWsNrQ 93
kts/validation/experiment.py sha256=KlNFNlmStC6bW1y01rABaah5a17ERajFG3USumupojQ 3223
kts/validation/split.py sha256=WMrPLqtWLH4ikPU9x4DJB3b7gYTzCRXTFAlopfvSo9g 2042
kts/validation/validator.py sha256=FH8Xk_l-DUr7-kgjNsewk67Y-IUC4sbsBAlwmp3r2P0 2082
kts/zoo/__init__.py sha256=gYDdaHgFFQZzOaoV7z24i10hnCj6h-ZM0w1DOIUbYtI 89
kts/zoo/binary_classification.py sha256=7ga0LltCcnVwCspo13IUsrRM7XG_4L4ng9e2EKpalfQ 3046
kts/zoo/classification.py sha256=bHmGVfonWnGljaVGGBQOPjt7-h8sy-13J94izT1wIjY 1753
kts/zoo/regression.py sha256=o-Qknl-ZeDexLQ9rTKoZs5J1fhRZXSO-YuqHYjqP9wo 1669
kts-0.1.13.dist-info/LICENSE sha256=4PRpCLXRcCy8UT5jyN3Uelx3Psp1xupf7rymR8fEjTM 1072
kts-0.1.13.dist-info/METADATA sha256=8BG2JLdxEgxsFFStHAZudkB7hyFEDmyzKeMEmVY4NLE 1780
kts-0.1.13.dist-info/WHEEL sha256=_NOXIqFgOaYmlm9RJLPQZ13BJuEIrp5jx5ptRD5uh3Y 92
kts-0.1.13.dist-info/top_level.txt sha256=lgJ9xFER4SQJERlYKefh60930cP1xZ_yPhoyP3m6FiE 4
kts-0.1.13.dist-info/RECORD

top_level.txt

kts