Wheelodex » Projects » giotto-time » giotto_time-0.2.2-py3-none-any.whl

giotto-time

View on PyPI — Reverse Dependencies (0)

0.2.2 giotto_time-0.2.2-py3-none-any.whl

Wheel Details

Project: giotto-time
Version: 0.2.2
Filename: giotto_time-0.2.2-py3-none-any.whl
Download: [link]
Size: 155238
MD5: 9f266d8f11b1c16563264511aa405bfb
SHA256: 9117e02b436b0e825885c156910d56e216b796f0330ff7625a45e5bc80870e3f
Uploaded: 2022-10-28 08:28:26 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: giotto-time
Version: 0.2.2
Summary: Toolbox for Time Series analysis and integration with Machine Learning.
Maintainer: Alessio Baccelli
Maintainer-Email: maintainers[at]giotto.ai
Home-Page: https://github.com/giotto-ai/giotto-time
Download-Url: https://github.com/giotto-ai/giotto-time/tarball/v0.0a0
License: AGPLv3
Keywords: machine learning time series data analysis topology,persistence diagrams
Classifier: Intended Audience :: Information Technology
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved
Classifier: Programming Language :: Python
Classifier: Topic :: Software Development
Classifier: Topic :: Scientific/Engineering
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Requires-Dist: pandas (>=0.25.3)
Requires-Dist: scipy (>=0.17.0)
Requires-Dist: scikit-learn (>=0.22.0)
Requires-Dist: matplotlib (>=3.1.0)
Requires-Dist: lime (>=0.2.0.0)
Requires-Dist: shap (>=0.35)
Requires-Dist: holidays (>=0.10.2)
Requires-Dist: lunarcalendar (>=0.0.9)
Requires-Dist: giotto-tda
Requires-Dist: sphinx; extra == "doc"
Requires-Dist: numpydoc; extra == "doc"
Requires-Dist: sphinx-issues; extra == "doc"
Requires-Dist: sphinx-rtd-theme; extra == "doc"
Requires-Dist: hypothesis (==5.5.3); extra == "tests"
Requires-Dist: black; extra == "tests"
Requires-Dist: pre-commit; extra == "tests"
Requires-Dist: pytest; extra == "tests"
Requires-Dist: pytest-cov; extra == "tests"
Requires-Dist: pytest-xdist; extra == "tests"
Requires-Dist: pytest-lazy-fixture; extra == "tests"
Requires-Dist: flake8; extra == "tests"
Requires-Dist: mypy; extra == "tests"
Requires-Dist: nbconvert; extra == "tests"
Requires-Dist: jupyter; extra == "tests"
Provides-Extra: doc
Provides-Extra: examples
Provides-Extra: tests
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 3660 characters]

WHEEL

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

RECORD

Path Digest Size
gtime/__init__.py sha256=qXXlSBgDxb0UHcONoJSUYgy4TSbH2JBOSRXxoib5Y3w 273
gtime/_version.py sha256=ztiqYuZVM3h4R856GthLBla4zPnOWsYjkAbTxoBPCoM 579
gtime/base.py sha256=7IqwKTuYL45wBMH2P4qlR6sSVDM1mThqGSyXo6IGiAE 803
gtime/causality/__init__.py sha256=wsrU7mRV8idBOnkrFJ426ZqZKx69vqPEjl8jkrGveAw 350
gtime/causality/base.py sha256=oj5iELRxOzDKSRlWXVEjB-WvkdcWHuETItgeYbmrmVk 5581
gtime/causality/granger_causality.py sha256=5avbbsMFkcK4Q3GjaIq1g9pEh8Qxu7rPnZtdAUUh02g 9881
gtime/causality/linear_coefficient.py sha256=MuKXK6SozjCotINzSV02RxxyIf8kvyJqSjI56FVw-p8 4111
gtime/causality/pearson_correlation.py sha256=gJQinYEV0LuPSauPcfN8t2IXgwt_ncXBDnlsR0rbMss 3955
gtime/causality/tests/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
gtime/causality/tests/common.py sha256=lTHLTPDGcP8AxdptEwQ5_Zwi_LiLq70coEtGlqa31DU 607
gtime/causality/tests/test_granger_causality.py sha256=xPrybtvCCUWahFe-6y-s70ohXbXQz0V6ZwEl9NYiaCg 1019
gtime/causality/tests/test_linear_coefficient.py sha256=wXDp4Mp7WuxVr1FajpEauxOyK5O5mYZ5yaXqNZQ0ikQ 2193
gtime/causality/tests/test_pearson_correlation.py sha256=RP54OrGfvnYpET9IwKvtBiVqxBauzu0o47h0XbM9SlY 1467
gtime/compose/__init__.py sha256=MzOqnkMLXSYjqPWDg_5YZxR9NVMoVEcHMrWDB9tFDiU 192
gtime/compose/feature_creation.py sha256=GKFSVvB6upUWGFgPaQbrMbN52NfUKLo8AguvSy1WjoY 2888
gtime/experimental/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
gtime/explainability/__init__.py sha256=6E7oDSmF4sa7w5JMXwiQ-bQiW_DJmFvFE3TJ5xzxgiA 102
gtime/explainability/explainer.py sha256=eSY6VvuQemTgNk1DheeJL-pTeTw-90YgCIdauGWMXTM 9196
gtime/explainability/tests/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
gtime/explainability/tests/test_explainer.py sha256=43ryJOk-BtDUMPAI2I4D1ubnSvF3p7nKMs2U1hE0Wi4 6653
gtime/external/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
gtime/external/hdays.py sha256=uwgjKUESdtXwWjIvolCF43PcT9TsuspobF1R74_IIos 46131
gtime/external/make_holidays.py sha256=9eod_gWYv2upaioKTLyqIi3gu-Zl7CH-_n4uoUw6ZPs 2088
gtime/feature_extraction/__init__.py sha256=DE8fLeSnaLSaGnJUaIM-dHDoH4EOMW90hBZehEMdVQU 685
gtime/feature_extraction/custom.py sha256=_5BOSwjjEtQHkM4L9-FP_QpOK8etSYexnuSu7oBIWDk 6532
gtime/feature_extraction/standard.py sha256=lvaoRVKX9ngyt1pzxgltMeVyGdUUA0ztZ6UfBBNxRps 20807
gtime/feature_extraction/trend.py sha256=AGU2WKMzYk292SGEKs0yJ4t--zeX2L7VTEososH4enU 4243
gtime/feature_extraction/tests/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
gtime/feature_extraction/tests/test_crest_factor_detrending.py sha256=LEcdTpK93gSA3g_AeiaSPbz8XrPNaoV9-YpYIJ3qmv8 2292
gtime/feature_extraction/tests/test_sorted_density.py sha256=5LM4UvlT4WdDRhqeu90LbFpjzzVTHM47-lNMCVNxB3c 2240
gtime/feature_extraction/tests/test_standard.py sha256=vNL7BJiNWvwtGhxa7GDVfOqnZ6CxsE2iCubi241QgHo 15471
gtime/feature_extraction/tests/test_trend.py sha256=aNrnasR2F1sY7lSB9GvtpEFDh6VwA_cXOE9xjoEgeHQ 2164
gtime/feature_generation/__init__.py sha256=XRrkh2zFaS0D7Urmt8g3bFflRt1fbDeEAEg4clv_sS4 285
gtime/feature_generation/calendar.py sha256=AjcfMNysq3PDWcoU7xZG8s_SVLU8CTG6A7quS7CkVsg 10043
gtime/feature_generation/external.py sha256=kqgUzBtqY5EdlIk4zskskOq9t3enfDhHmDWR8pojnIg 10495
gtime/feature_generation/tests/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
gtime/feature_generation/tests/test_calendar.py sha256=via2_oreEAMi0fNxfrHwwI7SYCUxg2F653oW5YK1u0M 1524
gtime/feature_generation/tests/test_external.py sha256=JJ5jNASJpWOxwBmE456eZFIoP2To-VWh1SWr4NRLL4Y 6225
gtime/forecasting/__init__.py sha256=jmH41LM8Iln0JsBGNuf5TTm0C0vLij1Ajk62vbU6O6E 647
gtime/forecasting/gar.py sha256=y6kDAEglYoAKvoM_Hy69st99zv6tjtpI5nkAMi5RS-Y 13623
gtime/forecasting/naive.py sha256=CvxqdMSwar_IZv16Nk-iDt5hNRWDVP_5D4fI14KWSlQ 13335
gtime/forecasting/online.py sha256=uGcu9kP-n1hAN_-myyFPpdgXtTbol-kpoz1S5oLvaQ4 4697
gtime/forecasting/trend.py sha256=JPJ-mfUAkaIPWaOkhisRWcb3qU9J0rFPdTuswee1YmU 3547
gtime/forecasting/tests/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
gtime/forecasting/tests/test_gar.py sha256=ebVi4FQ5a9lxmH9YU3cFvnWXWzpkgH61VQhD6A6LewY 14911
gtime/forecasting/tests/test_naive.py sha256=ifbLcrmVFOUx2p3jF66R4z81KV7_knSDRu-U2DruyEE 3101
gtime/forecasting/tests/test_online.py sha256=Z31vOEzPZZf2gHdoqpiAOZEaU9_--rJBS7cbMRxWdGc 756
gtime/forecasting/tests/test_trend.py sha256=Ur47dZas8P83FhFrn3F4ldkBFIs5YlubcMY1rkg5JwM 1157
gtime/hierarchical/__init__.py sha256=I94tbAFn2WqcT8U5kfzMg98D-Q-bZaOTkpazbsLtdWg 440
gtime/hierarchical/base.py sha256=lnbNmUz9flMW173DxL5dfaCkbfUQ7_OsVq5f2oQuKjc 1507
gtime/hierarchical/bottom_up.py sha256=cOHpdb6GvJRyUO8Br9WLDOpfiBJyoOaLCOT-xx3RY0o 8116
gtime/hierarchical/middle_out.py sha256=3PfHpbBjHogw9SGRujG2qklUVT9ufCrTypaQIQAjb1o 10027
gtime/hierarchical/naive.py sha256=iqXErfEpt28e5AGBV86NHnKYdFcSG1GknnqNjtaXNYg 3719
gtime/hierarchical/top_down.py sha256=64YCNnfA9m_XG8YK1q3xK3GgECJ9OXLNnOVuuwokrqQ 10598
gtime/hierarchical/tests/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
gtime/hierarchical/tests/test_bottom_up.py sha256=4-sk1hzdFjrobCH_KE20gks5OSVwDrjveBJIpo2zKzk 5352
gtime/hierarchical/tests/test_middle_out.py sha256=rHeVjFFOqvSP5nEbRAolRc1m4MOya2IjgK0j7b0DMRA 16942
gtime/hierarchical/tests/test_naive.py sha256=iocMX9nHvMKlDN02Jj9ilpYoJ7CWZ3UYakAYAHMQmK8 4110
gtime/hierarchical/tests/test_top_down.py sha256=01j2BFFbt7AxbUOiskSSlQogka1cYtbznnBzV-8u0zg 14970
gtime/metrics/__init__.py sha256=HW59TN-ha6BqV9vMR6IeEISgwMltZeufoU8p8hEfplM 411
gtime/metrics/metrics.py sha256=4Iy_dNQMYHDpUgIvEm9JiiA4FYt0MErBbTKO4xLkrw8 12223
gtime/metrics/tests/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
gtime/metrics/tests/test_loss_functions.py sha256=u5_XDir5lQLZCvcv8kTZGHNymvvzFD2q_rcPxDYuC10 29425
gtime/model_selection/__init__.py sha256=OPkPhOFN58n9OsoqM0HSZBBgC2J0VtHiqJtIex_8Esc 351
gtime/model_selection/cross_validation.py sha256=G5_fZXitRNLq-CdnCIYt-IiKT19nb4x0Yzvo0Jp1jcg 8654
gtime/model_selection/horizon_shift.py sha256=RkJBPCsTtO5nCF_c3YT_ynP3Y0fx5LIM89kTXhvNzEU 1640
gtime/model_selection/splitters.py sha256=moUAGAd_dvGr6K3ywRZEFFpT5WQ3jEO62J8E1Zl_t6Q 4049
gtime/model_selection/tests/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
gtime/model_selection/tests/test_cross_validation.py sha256=PdZ3y9VCTFYwTYIIh7uTkfMZly0JIMjv1cPAK6QAt28 8400
gtime/model_selection/tests/test_splitters.py sha256=DfD2Vn8W2Nu8vjsR7FlLGQHR936auwnVdJUGnNgD82o 2840
gtime/plotting/__init__.py sha256=IBQC_313LmhFZHda7YaAlzAdkZVH330lyRhLKiR0izA 168
gtime/plotting/plotting.py sha256=MLHsn7InHnaN7FliHSHbXR2wan4rg0uZfCFsWq9fhnk 7986
gtime/plotting/preprocessing.py sha256=8cv3w1WZsgwSrM6I03VdVf_gJ0p8jSaPqI-6zGz91Yw 6587
gtime/plotting/tests/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
gtime/plotting/tests/test_plotting.py sha256=eVK1reXcnkR_pO4zMOkXdrRopzyaIyj7M_UBugrtGfM 3493
gtime/plotting/tests/test_preprocessing.py sha256=r-486t3PhzNePBOG7g0cFSjRyPIt_rtuiwuO2pnyqRs 4556
gtime/preprocessing/__init__.py sha256=Xutpf741E4SreJph6U4XKsnNSQtilAH8TcPqpsjuygE 350
gtime/preprocessing/time_series_conversion.py sha256=vFC6giD08vJzGcDXP_yCmhdcufq4y_zPW1Fnzy3TG1Q 12154
gtime/preprocessing/time_series_preparation.py sha256=b6r-M5AB3wB2YFyG9N1doofGZIforqF6tAXFv0mamis 6466
gtime/preprocessing/time_series_resampling.py sha256=JL0WrYr-_1V6ljlpRYg76C4__xFbRI6gCZPBPAC4ThA 174
gtime/preprocessing/tests/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
gtime/preprocessing/tests/test_time_series_conversion.py sha256=dGqSxB8Otiw9mODcXR0LsQnKb0U-bPZbh9RSFjrs2Yc 13327
gtime/preprocessing/tests/test_time_series_preparation.py sha256=LBWmu57HMVaDJk9_DTHwe4m0z6C2_dYa3eArdT-h0m0 13326
gtime/preprocessing/tests/utils.py sha256=1UCHPQcJEGRih9ckkaUo7WjddbRt7TSH4a12DvhjBpo 5515
gtime/regressors/__init__.py sha256=c0Rk-7U7uad4lvPuI0H86915BeYuKCuh0Wkst5TFC2A 329
gtime/regressors/explainable.py sha256=luZtqfRXbEOAZ8wRFIh7Pr1Cb5Bx1gquGBOSkXu2fZA 3984
gtime/regressors/linear_regressor.py sha256=UvP4omX-ko5SPdB8REpzZUKSdOjXpeurgcFFpwdOnck 3225
gtime/regressors/multi_output.py sha256=WUiObLBSk5ZlM0FGxqXfcbnbNv1DameSkayNH9xyniw 4000
gtime/regressors/tests/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
gtime/regressors/tests/test_explainable.py sha256=TmGj7uTgzdx4jxNdXxBAwswmPHbBA1N7PW9VLkELUCw 3999
gtime/regressors/tests/test_linear_regressor.py sha256=Uf_F6hlAy2HCdkEQtX_LCAFsBSZaIu_G9deYxRLsSvI 2047
gtime/regressors/tests/test_multi_output.py sha256=XBwEOUPMOvCYLc2xR5dVeur-xhOsXOJPlDaJDFaD3oI 7584
gtime/time_series_models/__init__.py sha256=RRy4RnKPuZaTOvwco6pE0tnhhIZAXjpoKPpS_QA_Hdc 405
gtime/time_series_models/ar.py sha256=COhiCMPmatRES-2553gDya8FO6IVtGW-62ffRXjFCI8 1571
gtime/time_series_models/base.py sha256=AiqU4S_DQXDk1iIatjAF4qi7VAKgjEnE1AjzuJYrdQ8 8343
gtime/time_series_models/cv_pipeline.py sha256=i_Tuxh7O39COie74apGWpXKbw6MEMHyPFq_5gwGwfD0 10763
gtime/time_series_models/simple_models.py sha256=qfnGC3yQVorR2kzJMYBQJ9xBYjBBbQgaRz3wDcdpivY 5767
gtime/time_series_models/tests/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
gtime/time_series_models/tests/test_base.py sha256=wN1DoDfkIZb89js3-Rb2dDKcff9SkdOZVdYyTWL7wi0 9360
gtime/time_series_models/tests/test_cv_pipeline.py sha256=-Y6Xj2aeoQv5adk-5rd_HFEoycmtIMA2-02pODJG7cs 5711
gtime/time_series_models/tests/test_simple_models.py sha256=xDNm-MEqvZWr9nSW8HkU_yf-MB4Dz5cbDw4Fab6DciI 2590
gtime/utils/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
gtime/utils/fixtures.py sha256=xLhzaq-ctWa_pLkFh8T1yip4s3XJUQhVy6f1JQqSGBA 1987
gtime/utils/testing_constants.py sha256=fXsKKUk2ZVBYd9LiJ3FI87zyKsel7RSvuVLF9WVQHM8 139
gtime/utils/trends.py sha256=8uh_DAnaeZDl9K6izu3Cv0claOmszV97v-gRqZylx-E 212
gtime/utils/hypothesis/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
gtime/utils/hypothesis/feature_matrices.py sha256=7Bg62TlD38wt0o9VygRhCUN2SC8ESJK6RLs1kKt0Myk 5259
gtime/utils/hypothesis/general_strategies.py sha256=t7B8LKhhtzsLrcQ7jO6mIS65G87kw5-o7oLUCX5HKAc 1954
gtime/utils/hypothesis/time_indexes.py sha256=Fnarvrtr_AfQTAyVEljIxRtmwTMMPpKEFMm_uGhv-rg 19495
gtime/utils/hypothesis/utils.py sha256=wbWcx2PaOvTP3DsTZO4Rx3nh-A34OQFDT0nsLtSdQOM 1824
gtime/utils/hypothesis/tests/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
gtime/utils/hypothesis/tests/test_feature_matrices.py sha256=9K4zH-L3jxYUTzK_U3CTL81N3d1JZ1JCUik9zorbwOY 6390
gtime/utils/hypothesis/tests/test_general_strategies.py sha256=BFiWpkHKx0_AlxR4WuimSMX68JVd3ooILsBHZhoLXho 1908
gtime/utils/hypothesis/tests/test_time_indexes.py sha256=_vM7TVgLKuDHk-gyFqrp6h0_Lq8e2wOpEHkhn3b8EvM 8827
giotto_time-0.2.2.dist-info/LICENSE sha256=Trm7D4vWXC69m-DDxTpr_WQrVJ_S6I8bPr764D4izfI 35211
giotto_time-0.2.2.dist-info/METADATA sha256=94DW7h7R7lu3-yFXe3zcaMhoKs4i22MZEkiA-MnhaN0 5766
giotto_time-0.2.2.dist-info/WHEEL sha256=G16H4A3IeoQmnOrYV4ueZGKSjhipXx8zc8nu9FGlvMA 92
giotto_time-0.2.2.dist-info/top_level.txt sha256=5L689ieqd2JI0xtQXjU7aoHkj4--unuVqIOeO1KwxcE 6
giotto_time-0.2.2.dist-info/RECORD — —

top_level.txt

gtime