Wheelodex » Projects » tsfresh

tsfresh

View on PyPI — Reverse Dependencies (42)

0.20.3 tsfresh-0.20.3-py2.py3-none-any.whl

Wheel Details

Project: tsfresh
Version: 0.20.3
Filename: tsfresh-0.20.3-py2.py3-none-any.whl
Download: [link]
Size: 95814
MD5: 324e06515d39d79807425bc1377a779c
SHA256: 9f01b7b37b9c00348f132aa66a509f4cab8fd356121fae350469a4ca9f3a4df9
Uploaded: 2024-08-03 20:51:43 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt

METADATA

Metadata-Version: 2.1
Name: tsfresh
Version: 0.20.3
Summary: tsfresh extracts relevant characteristics from time series
Author: Maximilian Christ, Nils Braun, Julius Neuffer, Andreas W. Kempa-Liehr
Author-Email: max.christ[at]me.com
Home-Page: https://github.com/blue-yonder/tsfresh
License: MIT
Classifier: Development Status :: 4 - Beta
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Operating System :: Unix
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: MacOS
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Software Development
Requires-Python: >=3.7
Requires-Dist: requests (>=2.9.1)
Requires-Dist: numpy (>=1.15.1)
Requires-Dist: pandas (>=0.25.0)
Requires-Dist: statsmodels (>=0.13)
Requires-Dist: patsy (>=0.4.1)
Requires-Dist: scikit-learn (>=0.22.0)
Requires-Dist: tqdm (>=4.10.0)
Requires-Dist: stumpy (>=1.7.2)
Requires-Dist: cloudpickle
Requires-Dist: scipy (>=1.2.0); python_version < "3.10"
Requires-Dist: scipy (>=1.14.0); python_version >= "3.10"
Requires-Dist: dask[dataframe] (>=2.9.0); extra == "dask"
Requires-Dist: distributed (>=2.11.0); extra == "dask"
Requires-Dist: Sphinx (>=6.1.3); extra == "docs"
Requires-Dist: sphinx-rtd-theme (>=1.2.0); extra == "docs"
Requires-Dist: b2luigi; extra == "docs"
Requires-Dist: docutils (>=0.18.1); extra == "docs"
Requires-Dist: matrixprofile (<2.0.0,>=1.1.10); extra == "matrixprofile"
Requires-Dist: dask[dataframe] (>=2.9.0); extra == "testing"
Requires-Dist: distributed (>=2.11.0); extra == "testing"
Requires-Dist: pytest (>=4.4.0); extra == "testing"
Requires-Dist: pytest-cov (>=2.6.1); extra == "testing"
Requires-Dist: pytest-xdist (>=1.26.1); extra == "testing"
Requires-Dist: pytest-benchmark (>=3.0.0); extra == "testing"
Requires-Dist: mock (>=2.0.0); extra == "testing"
Requires-Dist: matplotlib (>=2.0.0); extra == "testing"
Requires-Dist: seaborn (>=0.7.1); extra == "testing"
Requires-Dist: ipython (>=5.3.0); extra == "testing"
Requires-Dist: notebook (>=4.4.1); extra == "testing"
Requires-Dist: pandas-datareader (>=0.5.0); extra == "testing"
Requires-Dist: pre-commit; extra == "testing"
Provides-Extra: dask
Provides-Extra: docs
Provides-Extra: matrixprofile
Provides-Extra: testing
[No description]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.43.0)
Root-Is-Purelib: true
Tag: py2-none-any
Tag: py3-none-any

RECORD

Path Digest Size
tsfresh/__init__.py sha256=656ebnXRhVCdo4b-3v1RXybSF5EwjhomU9rgPs0TwSY 873
tsfresh/defaults.py sha256=kaOOeWDWEYGB4-1M3defibj91tedMBquwaz-QYyh_lQ 629
tsfresh/convenience/__init__.py sha256=NqIzNLg9teq5HXAIA4A3DvSHYkttcaluZz8hbn0zt_0 132
tsfresh/convenience/bindings.py sha256=arcHjmTA6NEPtFr18UL2k1aHSMxd10JJowtPEY3wI20 9597
tsfresh/convenience/relevant_extraction.py sha256=yoGAQK_2dq5-xhycB4T4TQKUjVoc4iFpL85j8q8C1O8 9380
tsfresh/examples/__init__.py sha256=9mjilpU1lKhuyiFSe_wrr39d8KLriUk5yiDUdLUlpwU 379
tsfresh/examples/driftbif_simulation.py sha256=PN_ZGiiDe2w_WnIK-ZwnR4flRBWTHfLpj7HYioVHkpI 6527
tsfresh/examples/har_dataset.py sha256=zR5VGfaZdaIEt0-_JvNR3Z57xCPzs2ep1WQ9d4Cth8c 3426
tsfresh/examples/robot_execution_failures.py sha256=U2bjCAKC8sOr8n-VmAndVrwIBWqsvTgKWtD6ChQC33o 4610
tsfresh/feature_extraction/__init__.py sha256=1XOwR-73ZYtOfFit7llzVMKOEdGumH7ThjFRxzTg-5o 318
tsfresh/feature_extraction/data.py sha256=FF65djQK_7wX50bTqcT-2Y6vxFjgEjZqAUIFpxFycMM 16831
tsfresh/feature_extraction/extraction.py sha256=DmJQDFY44mkMqIjjh90c9V7O4S1H2C2S3uymcI_xgF4 14940
tsfresh/feature_extraction/feature_calculators.py sha256=qtyytHrhKxLsZPw2BuPg9HanQWifpWbdSutdE-iiL6c 82303
tsfresh/feature_extraction/settings.py sha256=9sAKV1g9hdCU1B-jt7DbfU6eJviOHFU44Kb7BhEeDhg 15403
tsfresh/feature_selection/__init__.py sha256=q3tO40jb0WGPQ_dyrHTJxCR4-rXXXssKMo57qwuvpbc 586
tsfresh/feature_selection/relevance.py sha256=hlClJ1fQA3dq4NiGWEB1tdsYPiu9SJidjUs2uG56iQU 15972
tsfresh/feature_selection/selection.py sha256=4Nf1-xsHfeUtHEuYPnXCShaUShZSY4jSxxMF6vF2JMk 8174
tsfresh/feature_selection/significance_tests.py sha256=7qSeqWiO328J79E-i4KREdVoRz-_xU0T_cPhKdW-bCQ 8684
tsfresh/scripts/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
tsfresh/scripts/measure_execution_time.py sha256=i3EFZK51lSQ1QOeqW4C1-J3Ne8B5-uv_1vi9ciFRLTg 5804
tsfresh/scripts/run_tsfresh.py sha256=pbZ1Ju64WFIQ4u2voiT73fNRj9jtAZgkT7PBS_SIsjk 4300
tsfresh/scripts/test_timing.py sha256=oWlvtpUTM6qnro-KPOrrJ_vLOlAuX2ddkXMgtdH3owg 2607
tsfresh/transformers/__init__.py sha256=Ru9tt119vv9j6eUh_coV8xItCs4UOpShgRO1xIEacSA 413
tsfresh/transformers/feature_augmenter.py sha256=uSqaVOFMSQjMCM5vgFLhEfpS1M1HW6-QWgiq5-tPiGA 11206
tsfresh/transformers/feature_selector.py sha256=n8qkL-QDpAARsKIM-2iIc-cHXenBQq_WM2inuO5-Ojw 10619
tsfresh/transformers/per_column_imputer.py sha256=VHLYjFaMTMY9DAN1NUpNLFR4J-6PDvROkV8Tcrqfcqs 5205
tsfresh/transformers/relevant_feature_augmenter.py sha256=SMaJHaxD578R_T4P12xnZHXSzQ8uOyn8j_20yd7Zic4 23301
tsfresh/utilities/__init__.py sha256=qOeys8pqG0NyiWsHVCgHQkKp2aiZkhDaDbxn48vU4u4 138
tsfresh/utilities/dataframe_functions.py sha256=tPACalJIzjSE7tPQiZq5dv-O8yLeKbTLjXr9qLsnuH8 28650
tsfresh/utilities/distribution.py sha256=hdIlH9C3B_T_bcBkgDrW7cCgtPVwco9l_U7jpDWrM_A 18819
tsfresh/utilities/profiling.py sha256=Lo8-A0IquLwGfmaJaebiv4mKYfx7tmyPPEtMcqBDlXo 2574
tsfresh/utilities/string_manipulation.py sha256=n8fWuU2wY9LSG6GrWrxlgXpk5i7mJe05-wI_K8yxMcQ 2528
tsfresh-0.20.3.dist-info/AUTHORS.rst sha256=UnSh6erOQIkLIkZKUFVaOEAl4yI8V8MANzzfUtKl7Sc 1860
tsfresh-0.20.3.dist-info/LICENSE.txt sha256=GAQoNiLI5RpEJ6qnctXKUi-Jky_WELKUBVQ1kirxx0g 1092
tsfresh-0.20.3.dist-info/METADATA sha256=0wYEZdofeBiKakYiYAXhmn8nG3cyue3D3MBxjIQSKqo 2580
tsfresh-0.20.3.dist-info/WHEEL sha256=DZajD4pwLWue70CAfc7YaxT1wLUciNBvN_TTcvXpltE 110
tsfresh-0.20.3.dist-info/entry_points.txt sha256=ahQAuJOtLseRvYbbTJXNp8VLDXMQGjDN9uRLL_ad4MU 66
tsfresh-0.20.3.dist-info/top_level.txt sha256=3gcdnRzGELDuAo_J6prT2QtSrqYAmZe3fd1y4rYewr0 8
tsfresh-0.20.3.dist-info/RECORD — —

top_level.txt

tsfresh

entry_points.txt

[console_scripts]
run_tsfresh = tsfresh.scripts.run_tsfresh:main