Wheelodex » Projects » tsml-eval

tsml-eval

View on PyPI — Reverse Dependencies (0)

0.4.0 tsml_eval-0.4.0-py3-none-any.whl
0.1.1 tsml_eval-0.1.1-py3-none-any.whl

Wheel Details

Project: tsml-eval
Version: 0.1.1
Filename: tsml_eval-0.1.1-py3-none-any.whl
Download: [link]
Size: 482115
MD5: 5b8cf9970d25814b40d5bacc9d76b9c4
SHA256: 16cf1840b66b4107187a03ae3afc3535f9479eafc72615b9e04d098ac9fb2c26
Uploaded: 2023-10-13 14:19:57 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: tsml-eval
Version: 0.1.1
Summary: A package for benchmarking time series machine learning tools.
Author-Email: Matthew Middlehurst <m.middlehurst[at]uea.ac.uk>, Tony Bagnall <ajb[at]uea.ac.uk>
Project-Url: homepage, https://www.timeseriesclassification.com/
Project-Url: repository, https://github.com/time-series-machine-learning/tsml-eval/
License: BSD 3-Clause License Copyright (c) The Time Series Machine Learning (tsml) developers. All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. 3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
Keywords: data-science,machine-learning,time-series,time-series-classification,time-series-regression,time-series-clustering,evaluation,benchmarking
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
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
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Requires-Python: <3.12,>=3.8
Requires-Dist: aeon (<0.5.0,>=0.4.0)
Requires-Dist: scikit-learn (<=1.2.2,>=1.0.2)
Requires-Dist: tsml (<0.3.0,>=0.2.0)
Requires-Dist: gpustat
Requires-Dist: psutil
Requires-Dist: aeon[all_extras,dl]; extra == "all_extras"
Requires-Dist: tsml[extras]; extra == "all_extras"
Requires-Dist: xgboost (<=1.7.5); extra == "all_extras"
Requires-Dist: torch (>=1.13.1); extra == "all_extras"
Requires-Dist: notebook; extra == "binder"
Requires-Dist: jupyterlab; extra == "binder"
Requires-Dist: aeon[dl]; extra == "deep_learning"
Requires-Dist: torch (>=1.13.1); extra == "deep_learning"
Requires-Dist: pre-commit; extra == "dev"
Requires-Dist: pytest; extra == "dev"
Requires-Dist: pytest-randomly; extra == "dev"
Requires-Dist: pytest-timeout; extra == "dev"
Requires-Dist: pytest-xdist; extra == "dev"
Requires-Dist: pytest-cov; extra == "dev"
Requires-Dist: sphinx; extra == "docs"
Requires-Dist: sphinx-design; extra == "docs"
Requires-Dist: nbsphinx; extra == "docs"
Requires-Dist: numpydoc; extra == "docs"
Requires-Dist: jupyter; extra == "docs"
Requires-Dist: furo; extra == "docs"
Requires-Dist: sphinx-issues; extra == "docs"
Requires-Dist: myst-parser; extra == "docs"
Requires-Dist: sphinx-copybutton; extra == "docs"
Requires-Dist: aeon[unstable_extras]; extra == "unstable_extras"
Requires-Dist: tsml[unstable_extras]; extra == "unstable_extras"
Provides-Extra: all_extras
Provides-Extra: binder
Provides-Extra: deep_learning
Provides-Extra: dev
Provides-Extra: docs
Provides-Extra: unstable_extras
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 2020 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.41.2)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
tsml_eval/__init__.py sha256=OfEEj_SPddYX0iNpwyk4M5tihfAZ7805I1MRoQAeTWg 40
tsml_eval/_wip/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
tsml_eval/_wip/clustering/averaging/_result_evaluation.py sha256=qKAjeMdams2uFHIgXNSRhHvWQgNoYzLuL3FyX87PIYE 3334
tsml_eval/_wip/clustering/averaging/clustering_averaging_experiments.sh sha256=IJWmgMEKTqTN_0fAUMi1vDUUI9JjkNIvcY3kUlWOeBc 3533
tsml_eval/_wip/clustering/averaging/results.ipynb sha256=iTFKXbKY4d8bVykTYsRqn-4x87zT_D8I0vIZ9uSLkII 59407
tsml_eval/_wip/clustering/averaging/test_experiment.py sha256=zrWwVBnLqHHOZ_wNpZM5e0H1bmTFrKiSivjQZ5wUDSE 3000
tsml_eval/_wip/clustering/kmeans-distances/kmeans-distance-experiment.sh sha256=jC-1e1uHqJRnQ_Vr-IGF1ttZXpWhgvOJW39Zx6WUDDw 3297
tsml_eval/_wip/clustering/kmeans-distances/test_experiment.py sha256=12lQWAaeS5Z0JhmfXOprELQXgIcsKx9zE9JRr0DCKM0 3078
tsml_eval/_wip/estimator_from_file/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
tsml_eval/_wip/estimator_from_file/eval_results.py sha256=4HtPtPWdohHJ_NeRfTeOZhbFWVqcV9wJFIYQxrluiuk 12722
tsml_eval/_wip/estimator_from_file/hivecote.py sha256=Z540FnfgpnutzDm1D70yXJgF4gC643prFdSMvn66RI0 16315
tsml_eval/_wip/estimator_from_file/tests/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
tsml_eval/_wip/estimator_from_file/tests/test_hivecote.py sha256=4LECN5tZe94H5ck7uougaWM4_aBZzduDbsQOl7co6zo 2548
tsml_eval/_wip/estimator_from_file/tests/test_files/UnivariateDatasets.txt sha256=mMrzUMzw_ctAQRxPm7QdrH0f06HvYZXK8hKJUAxALbg 1559
tsml_eval/_wip/estimator_from_file/tests/test_files/ArrowHead/Arsenal/testResample0.csv sha256=5YIIdDsuZXHu6QlGvPxPhELNjwEcbO7r6nxoU60ZznE 4216
tsml_eval/_wip/estimator_from_file/tests/test_files/ArrowHead/Arsenal/trainResample0.csv sha256=dURbmnjDQWXJ-dMxrqYp0Zc-HYYuczM5liE-JSiWJcw 1643
tsml_eval/_wip/estimator_from_file/tests/test_files/ArrowHead/DrCIF/testResample0.csv sha256=p2pL2Q2rhqfzBzl21eOl_N6Dr9jteMW2oELM_FXUoR4 4362
tsml_eval/_wip/estimator_from_file/tests/test_files/ArrowHead/DrCIF/trainResample0.csv sha256=lQy72dgMMscHCfv1dakLu1U72DMvogt9ICZBzttP7EU 2683
tsml_eval/_wip/estimator_from_file/tests/test_files/ArrowHead/STC/testResample0.csv sha256=KKlxwR_ZnoIMeoUY3A8HTpiIkcFYYB6oJnKW4lWgKjA 4203
tsml_eval/_wip/estimator_from_file/tests/test_files/ArrowHead/STC/trainResample0.csv sha256=wtkul2-PQRIWy8dGan8TA2tah9lIo_4cwr2twvxlShI 2555
tsml_eval/_wip/estimator_from_file/tests/test_files/ArrowHead/TDE/testResample0.csv sha256=Qt0WKZ_nT799NNmN5ygWVbNEUnbEBqz_0XfdXgwOCtM 10229
tsml_eval/_wip/estimator_from_file/tests/test_files/ArrowHead/TDE/trainResample0.csv sha256=xMZ4QASjMTODSjL9pLoUv__A2x5Wam1rr5DH3aKhtKo 1921
tsml_eval/_wip/estimator_from_file/tests/test_files/ItalyPowerDemand/Arsenal/testResample0.csv sha256=3e3fIUzdRzjiX_8bt6i4o0-ZVif7edR7KmzZ3J2Sy-4 15039
tsml_eval/_wip/estimator_from_file/tests/test_files/ItalyPowerDemand/Arsenal/trainResample0.csv sha256=5jG_6zMC3DrwO-kPCzFXNaF--jE580TcmqsNsMVzQDs 1554
tsml_eval/_wip/estimator_from_file/tests/test_files/ItalyPowerDemand/DrCIF/testResample0.csv sha256=-U83xwAF0Fd_7ySbsZizbVrfYTNzv50niLS11wWPSHA 17482
tsml_eval/_wip/estimator_from_file/tests/test_files/ItalyPowerDemand/DrCIF/trainResample0.csv sha256=BV-txgBOrp2TbwQg9YeKw0XZucmS1GYAgrgCGoDrX_A 3366
tsml_eval/_wip/estimator_from_file/tests/test_files/ItalyPowerDemand/STC/testResample0.csv sha256=gx8PhVuVdod2fDRArsghYFmVD3QKdfnnY7pHPgyHWL0 16193
tsml_eval/_wip/estimator_from_file/tests/test_files/ItalyPowerDemand/STC/trainResample0.csv sha256=ys1TK2h84Nz5OHczZUMrRW8YJq6som9ELoyUHiQ2-hQ 2442
tsml_eval/_wip/estimator_from_file/tests/test_files/ItalyPowerDemand/TDE/testResample0.csv sha256=yU5oVHB0VVrMxPeAB4mEBs3E_fXM3ecJNtVwuClkbGc 43368
tsml_eval/_wip/estimator_from_file/tests/test_files/ItalyPowerDemand/TDE/trainResample0.csv sha256=ddQ0fIB_XOZMeEslZbln5saHxr98vhrzojyVW6CO2Is 2650
tsml_eval/_wip/estimator_from_file/tests/test_files/Test/Test1/testResample0.csv sha256=Ylmb9PiRJIZddU3mYdXs4ahkrgGIjod00huXYk_528s 140
tsml_eval/_wip/estimator_from_file/tests/test_files/Test/Test1/trainResample0.csv sha256=I_nlfKYP4TCaYJQtG4oVNkEwdcgM1hjSm7NsuK-PkRg 206
tsml_eval/_wip/estimator_from_file/tests/test_files/Test/Test2/testResample0.csv sha256=FhveolE6-qsSp1tRDbSHZtsq0Zr-rIJJC0nnt8MB2ck 140
tsml_eval/_wip/estimator_from_file/tests/test_files/Test/Test2/trainResample0.csv sha256=fGVE8y1xgQh-0RgwO9yzeeWgLBh0SI1n-soYr8j_9Qc 206
tsml_eval/_wip/evaluation/__init__.py sha256=HT3xoNKcrxn-nRerlgm5klMPxU6vLHvffaqyIchy4PU 938
tsml_eval/_wip/evaluation/_bulit_in_evaluation.py sha256=TC2uHXHILxU23lLxZS2TRkm8qTrneRgnHpKj3oa0h9A 5626
tsml_eval/_wip/evaluation/_result_evaluation.py sha256=SKhCNFwTwC4Hpl1wOTyyGJ05KfGv4htUf3M43-GnSmU 15645
tsml_eval/_wip/evaluation/_utils.py sha256=_2CyXzQ1g3iAWylb0Pl52_TSl27-iHPoyURDId6vNu0 22036
tsml_eval/_wip/evaluation/diagrams/__init__.py sha256=9dJyJqudktJTCx7d7g4HB2sKr8-pbfmxuAF9rp45IDk 210
tsml_eval/_wip/evaluation/diagrams/_critical_difference_diagram.py sha256=EbyFuQVL0br9QWdmOERd_B4pGklbff02EWVGjBi9beY 18665
tsml_eval/_wip/evaluation/diagrams/_scatter_diagrams.py sha256=kUdubOpzRWKlRrUguAfYR2ksw3HKvnwGF8zzBoutcko 9714
tsml_eval/_wip/evaluation/diagrams/_utils.py sha256=XdByxZPF_VMVkeZjuDb0O6Gk-pbzWbxIHImaUMR-2Bk 2184
tsml_eval/_wip/evaluation/diagrams/tests/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
tsml_eval/_wip/evaluation/diagrams/tests/test_diagrams.py sha256=EL0LLM6fDx3iTLylJQBuS9F76Zxtpraa5akqwz-0c0M 861
tsml_eval/_wip/evaluation/tests/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
tsml_eval/_wip/evaluation/tests/test_result_evaluation.py sha256=qCq7wuawbleNy18auTxrV0SMVO5-ChuB0UFcXZFxXqU 1496
tsml_eval/_wip/evaluation/tests/test_utils.py sha256=1LDyF5q5EtMmjO7v3xbKXFB5lsr3pnJzL8WDBMyg1eI 678
tsml_eval/_wip/experiments/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
tsml_eval/_wip/experiments/classification_examples.py sha256=G-i-6lIWImVlUiQ5J7BKeaCoc1kD_IV_4Mu4Y3YMako 2947
tsml_eval/_wip/results/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
tsml_eval/_wip/results/results_by_classifier.py sha256=4VyrPKUhe3Eo73L9JaX-u3Q0Mfp3AOv2fuqKPsDVTfA 6249
tsml_eval/_wip/results/tests/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
tsml_eval/_wip/results/tests/test_results_by_classifier.py sha256=SqvMwKs2AGUjezziPzzfnxb0fKuBVg86hZRpGvIQqb0 1014
tsml_eval/_wip/tschief/__init__.py sha256=_R6qYbCrHT-kBLGqXEjynRupPPEElWoapZ1zB0kvJFI 74
tsml_eval/_wip/tschief/tschief.py sha256=W_mrXMr7-yWJRnkSzvS1g-S2FtCg047bjVGzJHOdxD4 2131
tsml_eval/_wip/tschief/tschiefnode.py sha256=Itwbn3rVkdTx6peGYyJN5sU9HAvWj72GECGMI7wMYDU 3527
tsml_eval/_wip/tschief/_splitters/__init__.py sha256=j4aDyzDGDan2NmuqBXTuCLPpMW8PvKFJyHjzT_aXdpQ 407
tsml_eval/_wip/tschief/_splitters/dictionary_splitter.py sha256=XaWHFA8pwcU8udgwLVLMkqhowy5ZdLXh0xsKuCRTbqo 3708
tsml_eval/_wip/tschief/_splitters/distance_splitter.py sha256=jnCvJMWFR2LYk-dDZgYHXqYBR_uxB2qWH6M5TudW5w8 6827
tsml_eval/_wip/tschief/_splitters/interval_splitter.py sha256=jfLZkvg8ZWzm11Tg85Bwj3Yg2MDLUZplXGwpwG4heXA 6123
tsml_eval/_wip/utils/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
tsml_eval/_wip/utils/read_results.py sha256=fFkv8V1I1ciBZ6KO--pk6Om8PdmLLLEdVyt8ADfb5VE 2341
tsml_eval/datasets/__init__.py sha256=dPbUwZT_8xWADBeXoXAfhBYeH9Lbe9-cg58GLNBFNUc 36
tsml_eval/datasets/regression_problems.py sha256=ejiVOVqDGF3rF8vUeMRk5OOsn6G8neL658LPuIjhLsc 1315
tsml_eval/datasets/EqualMinimalJapaneseVowels/EqualMinimalJapaneseVowels_TEST.ts sha256=ideZnKMRbZfEWCjkcJHnqDdgHbBhPJeYMJ-bMnQEJ2g 120661
tsml_eval/datasets/EqualMinimalJapaneseVowels/EqualMinimalJapaneseVowels_TRAIN.ts sha256=ZFKLsnoMwyD9OuGSNb5BAFyiZ0PhgtRfa6Kr4_7Zk4Y 120799
tsml_eval/datasets/MinimalCardanoSentiment/MinimalCardanoSentiment_TEST.ts sha256=a97iUFWndsxkqT5qDhQM0DUJKkf0caOHbN3zkN3eO_Y 16324
tsml_eval/datasets/MinimalCardanoSentiment/MinimalCardanoSentiment_TRAIN.ts sha256=Ze3tlNr3pUo9b11XpSjIss3Yp4pU-gMaNcmMWHsJKHs 10110
tsml_eval/datasets/MinimalChinatown/MinimalChinatown_TEST.ts sha256=WeLPIwchnaoTbX_NB9j7o0Klo8872okrD8-12ffx31E 3389
tsml_eval/datasets/MinimalChinatown/MinimalChinatown_TRAIN.ts sha256=PYROUJgVZyPz4A47VlujDAKveuwhAuUbilRHb5uPeNA 3381
tsml_eval/datasets/MinimalGasPrices/MinimalGasPrices_TEST.ts sha256=U9a6MjHdAs3VN0oI3Lz2AbsIU9UGy3GOrekryechb24 2709
tsml_eval/datasets/MinimalGasPrices/MinimalGasPrices_TRAIN.ts sha256=eOtd2VCiNH20iYAh9GRqWr3qDm3bMZY1BWShQLZxwv8 2711
tsml_eval/datasets/MinimalJapaneseVowels/MinimalJapaneseVowels_TEST.ts sha256=RCG85xSAevPZEnqObzHO6aj-tWre1hOghCvwKybFqVw 36247
tsml_eval/datasets/MinimalJapaneseVowels/MinimalJapaneseVowels_TRAIN.ts sha256=r7pojNafe4-lx_TxlW6hBiohgIGxKLRbkVQq8c5g1aQ 38758
tsml_eval/datasets/ShampooSales/ShampooSales_TEST.csv sha256=m2G4KAQbTWBbFDCpke_-iWXiTA9TQ936YYwfWylk1lI 179
tsml_eval/datasets/ShampooSales/ShampooSales_TRAIN.csv sha256=UDJhmoyv54oAVqd5Lh4JPIIOQTAAqDOvWpFvv-0CXbE 347
tsml_eval/datasets/UnequalMinimalCardanoSentiment/UnequalMinimalCardanoSentiment_TEST.ts sha256=Y9wmc_CQX-hGKCsVmBJ5bY_dhWZWJ80ovquJaYgZDJs 10054
tsml_eval/datasets/UnequalMinimalCardanoSentiment/UnequalMinimalCardanoSentiment_TRAIN.ts sha256=vVmxJZZAi7CrVGrMRpYKsHCQPexmE_oYoeP3aWx-1_o 10071
tsml_eval/datasets/UnequalMinimalChinatown/UnequalMinimalChinatown_TEST.ts sha256=wDRp5WoDU-Tui0Hgo1iNyo39I8vQViQlk7ly-FJkMTo 3309
tsml_eval/datasets/UnequalMinimalChinatown/UnequalMinimalChinatown_TRAIN.ts sha256=SBaL8MOpGRrSuYmiL-LwgirrLjhHCEvNcMQZzrKiAW4 3272
tsml_eval/datasets/UnequalMinimalGasPrices/UnequalMinimalGasPrices_TEST.ts sha256=a-R5F2wIvNqKCLEc4yZpj8NABWPpIhMs-kmwTeGM5Pg 2697
tsml_eval/datasets/UnequalMinimalGasPrices/UnequalMinimalGasPrices_TRAIN.ts sha256=xUQzIoHHrfG9wPLh1316ca9JIdTGBWlvk_Q27xxAuiM 2700
tsml_eval/datasets/_test_data/PredefinedChinatown/PredefinedChinatown5_TEST.ts sha256=5qVkp7F41X_g5xQVr79cHz94TZ7cswfcTql9Qcf7OR0 592
tsml_eval/datasets/_test_data/PredefinedChinatown/PredefinedChinatown5_TRAIN.ts sha256=k2wub5zP6SrdME05X9OQCRvF0dSmFyzi9FTkgKJ53k8 591
tsml_eval/estimators/__init__.py sha256=M3SItskiJ4-xLzVP7hpDwgwD-ysAZqENnpHQWSMr3UI 380
tsml_eval/estimators/_sklearn_classifier.py sha256=wmahCharqsK0q09YdfJBBSCF0glfw-jFF6mWKHpBMog 2380
tsml_eval/estimators/_sklearn_clusterer.py sha256=SrKYv8pJxeQdMfjNh4LXqHxTskntegTxiZnKY3KjuUo 1894
tsml_eval/estimators/_sklearn_regressor.py sha256=S473pCfr-RU3enqdBtxjLvmOobyMoXVzzjFjnOZKngA 1868
tsml_eval/estimators/classification/__init__.py sha256=LD86hOK9tDekJ0np_VhJ-7IFaYiV6sz2j1AVcWbG_3M 19
tsml_eval/estimators/classification/convolution_based/__init__.py sha256=fyrtlb3uPbhchU6Yvkz75AxBRUA0lAORvRS40NcsZ68 157
tsml_eval/estimators/classification/convolution_based/hydra.py sha256=XILmSMfj1859vcH9WxrzCsZxRFEeW06lIUV82RN_bM8 7233
tsml_eval/estimators/classification/dictionary_based/__init__.py sha256=IS3Yom6Y8ZlQpphKjrypMWXze2OrwenhVX20dfxB6CI 162
tsml_eval/estimators/classification/dictionary_based/muse.py sha256=9vjPtBWEoLl7nESDVlkkUxQjzqQDCGeBI-fgEuPUlnw 15659
tsml_eval/estimators/classification/transformations/__init__.py sha256=Nrsjgah2VXQH-Yb91kXO4YKNNZaFlkPivuV0d5sW4Q0 123
tsml_eval/estimators/classification/transformations/sfa_dilation.py sha256=QrZoi_FfoDMXJkJHjr6_nJx8C1DDq2xZj-GnVKdFAck 42605
tsml_eval/estimators/regression/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
tsml_eval/estimators/regression/column_ensemble.py sha256=RwxPxbNCmz3K-zd5xjriaDSPT1r6N8JDSoSjwNE8H-8 14555
tsml_eval/estimators/regression/convolution_based/__init__.py sha256=MvkKti95hNuVZGG_rDRMkWkr1Kf-lEN7z7eEoIDWwVQ 209
tsml_eval/estimators/regression/convolution_based/arsenal.py sha256=M1CbidzhuF5cEF6cGKYLtrImJkjnkHsKgnn3s72lFUA 14209
tsml_eval/estimators/regression/convolution_based/hydra.py sha256=MX3rzvYjYXF2qxIvtM-G0loZr6LdWmZE1h9IvITdteE 5251
tsml_eval/estimators/regression/dictionary_based/__init__.py sha256=PgrnBVobNql5yX8taqhJppTScj4Pnahz8FtMKd-9Ogk 150
tsml_eval/estimators/regression/dictionary_based/tde.py sha256=uLLYIBSPwsWXxlcDAQ72Hw6FbGL4TK4M6dJqmJCFvbg 35421
tsml_eval/estimators/regression/hybrid/__init__.py sha256=Yk2zxKtop9vHJXL1qwT3VzMwk4H5bahEhKGU1MtMRBM 107
tsml_eval/estimators/regression/hybrid/hivecote_v2.py sha256=ZpxYeGySMJtyjBtrudAL_pBMbSgJWj8bv5BW_j7RP7g 13869
tsml_eval/estimators/regression/shapelet_based/__init__.py sha256=ej7EDJqWI4evXeIPLSbUknTvYuowwrv7Y8ySJRmOjfo 148
tsml_eval/estimators/regression/shapelet_based/str.py sha256=pXM0i7QpwFyRkH9g05VpGAt-JVlFPmEbLUwI1-gCT2E 12651
tsml_eval/estimators/regression/transformations/__init__.py sha256=Vohz-eQRRoR7n-YNLy_powrx-tJRlVNQ7BsQK9cE0Jc 234
tsml_eval/estimators/regression/transformations/sfa.py sha256=ruDcSHLa6sH5r-nKkMamUilx8JAkNkfPZVqRn947xmU 36695
tsml_eval/estimators/regression/transformations/shapelet_transform.py sha256=pqrJ-FZYfW8hks_PDfUp5h863nU9bKZDmy3x5B1EQ4s 19698
tsml_eval/estimators/tests/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
tsml_eval/estimators/tests/test_estimators.py sha256=xY1eil4q4RAmOh_JbFEUeTdwKt6d5Lz2zcE-qSNboIc 764
tsml_eval/estimators/transformations/__init__.py sha256=oY-P5Ciz3VjxUR7h8aGwjKBiSXU22rsYcO3q31WDrNg 23
tsml_eval/estimators/transformations/scaler.py sha256=7wilOgJA2EFY06u55GUJ9k4nQUNPiWavOTTE5C6SyGI 3802
tsml_eval/evaluation/__init__.py sha256=6DfsnovVt8HW-cZcmLMIZJo5lDbVZ-7_uTT2ebs2Rsc 32
tsml_eval/evaluation/benchmark.py sha256=EZWLacMuysWxR7iyAGY8zrLI1vKv44r471MyyNiQE4s 7694
tsml_eval/evaluation/metrics.py sha256=PBT71CZrXW9WnwdtM0jSTuVAj77YXvyuHK-3ouaSTv0 1007
tsml_eval/evaluation/tests/__init__.py sha256=iKgNS_yuP8THo0RjG7jUKJR8Zjqu9WMEcECVzGqDecA 24
tsml_eval/evaluation/tests/test_metrics.py sha256=jNNz4hqkNAgpIz8RpPCvWTqK51zP0z_g8qNR19trlEQ 468
tsml_eval/experiments/__init__.py sha256=NCs_qfWeypvaVXyDf9qe3FNUNaUDNvDB6TKJYApgy1A 698
tsml_eval/experiments/classification_experiments.py sha256=oxyDYjhFW2wNpPE08PnSWnSfy7tDNwTKeljeu3VfZWQ 5010
tsml_eval/experiments/clustering_experiments.py sha256=mIW1T7RngDPcrVUKhmMPxIuubBLJ_1hScIxSiWp-EJY 4981
tsml_eval/experiments/experiments.py sha256=ci1Pv7eVZk2EZvAca8clT0G_hUItJ3JJcQUhNaHIDtY 36305
tsml_eval/experiments/forecasting_experiments.py sha256=lAiitinDunGoxcwDkCLzKowHp2fJDSVvrdU3wJA3iig 4156
tsml_eval/experiments/regression_experiments.py sha256=5izt6zTEyL6udphJFoZFQdBlQcFyJ14SHt-1kn1KBgc 4978
tsml_eval/experiments/set_classifier.py sha256=kXOGagMfhXedvkSZpavw6uhwjTNndnAJtmpGXTuez-Y 26323
tsml_eval/experiments/set_clusterer.py sha256=4BRkAKiAzQqdgGkj3zv25JpTCzu9ajuA-SpLIDzfx9A 8436
tsml_eval/experiments/set_forecaster.py sha256=c0VEh76NpRqoHGMRaEyqDXcqIM7YloMjmnuHvg6vOQI 8617
tsml_eval/experiments/set_regressor.py sha256=4UGA045efTI5S7X0fthgq3FDi_zzgcFK67a0MRTWLp0 19360
tsml_eval/experiments/threaded_classification_experiments.py sha256=hggFIJifJv42YcCmIwQijiq16BGf8N2kS8eqnRsM9gs 4195
tsml_eval/experiments/threaded_clustering_experiments.py sha256=DuuxrqzCy_4ouP9qVdSwXP02-1VgkToyG3ZdlMDU4Uw 4227
tsml_eval/experiments/threaded_forecasting_experiments.py sha256=snvd9iECUzHfxJW1EU3tAmYZf5AFBjPiPIEFKbW2bMs 3385
tsml_eval/experiments/threaded_regression_experiments.py sha256=WwayjG5yO7G5PKdnbVIL9h6EddKJru4538RG6YAWdKg 4164
tsml_eval/experiments/tests/__init__.py sha256=s0Etf_wW3ywxVvVC0dvGts7t-bnKaOs8dc2npFX08X0 681
tsml_eval/experiments/tests/test_classification.py sha256=T_CWZP9ulMlsPl2A4dYWkUp1RwXofS4J0iSkwZn7uPM 5705
tsml_eval/experiments/tests/test_clustering.py sha256=c8_ktChE6P-gmwCI8LLYYywpCypNCkWqXINFKeyi6bY 6871
tsml_eval/experiments/tests/test_experiments.py sha256=dcGJElZRgYvj-Ssm3fRdwvAYRgDkELTVZulKrGpKw24 1951
tsml_eval/experiments/tests/test_forecasting.py sha256=FaxeAyZ9-VMEl7aC4XDVZnD3Zq-Bmy3yx1aoEpPCUUY 4228
tsml_eval/experiments/tests/test_regression.py sha256=_PxD6-6szl6Q8V5bHgpKhec3_LJfw6NOTZ7lIJf90OY 5614
tsml_eval/publications/__init__.py sha256=ue8QGIUq0ha81EtUa44mUSWm8ke3RQrEPlQeu4NAOLk 36
tsml_eval/publications/2023/__init__.py sha256=CwNpr1a6OpzWh9ShE-gycHJSprsE0AzbkOStXzrAKkQ 25
tsml_eval/publications/2023/distance_based_clustering/__init__.py sha256=y6sHY2Z7i6ordoaWch7k9LPQO-RO8oUqgUNYqCVb5oA 457
tsml_eval/publications/2023/distance_based_clustering/_plot_path.py sha256=eApLaUeVz_UGM4zJLEwu6oHjoZJh2YODOv5lZvpPmAA 4455
tsml_eval/publications/2023/distance_based_clustering/_tuning_functions.py sha256=-5s_otif2fJwBljZtmHYk8I0p_QNr8MPy6qghfp6V_Q 5922
tsml_eval/publications/2023/distance_based_clustering/run_distance_experiments.py sha256=h_sB2X4P9VQBVUnaWpGoiwBlvRoMHWNtaJwsI8GJ6dU 3928
tsml_eval/publications/2023/distance_based_clustering/set_distance_clusterer.py sha256=kfrM811WZqbdi32yge66lmYW4Do4ni2ln0ZegXQ_Sbk 5365
tsml_eval/publications/2023/distance_based_clustering/tests/__init__.py sha256=Zwy5VHgi_6ImDyCxroUPhZ6gcvibtOls1GgKOyoDGUs 266
tsml_eval/publications/2023/distance_based_clustering/tests/test_run_experiments.py sha256=hQ8x0_E11FwoTyoGN_GQCgefb1ev9PpTwuSy4SYPwg0 1640
tsml_eval/publications/2023/distance_based_clustering/tests/test_set_distance_clusterer.py sha256=9zCCGWL4nk6RhLhmDaewnpDAvse7DfW5GB78aKySTUo 945
tsml_eval/publications/2023/rist_pipeline/__init__.py sha256=cZIdglDt9EkMazouJmg9UBvMW3HbzeIrKCYDpAB3TvU 728
tsml_eval/publications/2023/rist_pipeline/run_classification_experiments.py sha256=1YyFG-yLP3D-1brIp34ZcweAjzp_rbjmIBbhdlRX5ic 2725
tsml_eval/publications/2023/rist_pipeline/run_regression_experiments.py sha256=Br8hNJ7hJusI3szdME248PRmOvGQxbGj8wtgCd9XITI 2656
tsml_eval/publications/2023/rist_pipeline/set_rist_classifier.py sha256=m24SY7CL8Ml6adkC7mhpjtlIZ4jIEIUPqNcrFtv-Nw4 5638
tsml_eval/publications/2023/rist_pipeline/set_rist_regressor.py sha256=XbnAZmZRZyS0N6W1MjaT0xic2Usv1YBD3twcu_oUIds 3198
tsml_eval/publications/2023/rist_pipeline/tests/__init__.py sha256=fIru4XFfw9sntM7WOFC_vmCj5iNPT9WdFkLDar_uo0E 252
tsml_eval/publications/2023/rist_pipeline/tests/test_run_experiments.py sha256=8Qm1eTWHHNNBZ65Pj1VPQ2y6N_xJ6BlrzR7OyWfFo6E 2370
tsml_eval/publications/2023/rist_pipeline/tests/test_set_estimator.py sha256=Omf-r77aDoQOZZWT9Rdwv6qFBxMrBqrqjDnBedfnpcI 1544
tsml_eval/publications/2023/tsc_bakeoff/__init__.py sha256=zhtAe9krQPo6lKivuSmZDB0y87VNLqMBhQKdcQ4RPFA 364
tsml_eval/publications/2023/tsc_bakeoff/run_experiments.py sha256=aHL2dv7cFqgGFnXb4I03jITnZJx7paii3WjK9Nfr72I 3709
tsml_eval/publications/2023/tsc_bakeoff/set_bakeoff_classifier.py sha256=kQ4_UA4KFtgsZACrQ3euVHwI49q7LM_Y3NbVDycC4Pk 10569
tsml_eval/publications/2023/tsc_bakeoff/tests/__init__.py sha256=0yHi4qG04ZF92w72s2q5PiSjzKniUGETLwYsC3cB-UE 261
tsml_eval/publications/2023/tsc_bakeoff/tests/test_run_experiments.py sha256=qCGP36VN-aIarHJCiDmH9z900WF-Ynd5epWWA5grr-0 1342
tsml_eval/publications/2023/tsc_bakeoff/tests/test_set_classifier.py sha256=xnbJGBV7kALIrTQpTeElwrupG6vbhuhP6PD03lcyin4 926
tsml_eval/publications/2023/tser_archive_expansion/__init__.py sha256=3QnL-3tEKdpvDpe_9k2wmTIr5fnNQzDqGGVsNOA_xhk 393
tsml_eval/publications/2023/tser_archive_expansion/run_experiments.py sha256=0256q5HolnW7tMeMg-QZB656z49IBNgY64W1edS31h4 2918
tsml_eval/publications/2023/tser_archive_expansion/set_tser_exp_regressor.py sha256=WZXc2bwYtizyv7PoAERnhEFDDZyjeYwoo3Vw-3KABS4 7945
tsml_eval/publications/2023/tser_archive_expansion/tests/__init__.py sha256=--r75GTKnVOBso5wcTpv3jJaVnGUnX5pLHsrOZygFbw 276
tsml_eval/publications/2023/tser_archive_expansion/tests/test_run_experiments.py sha256=NKMogQ3OOk825cfpSiGaYq32KAXp6uRnQ4tCQbklMoc 1358
tsml_eval/publications/2023/tser_archive_expansion/tests/test_set_regressor.py sha256=pMzgy5E71W5GZRIPEyXIrMRSXkgWiLvOvpPkNTMmhpQ 934
tsml_eval/publications/y2023/__init__.py sha256=CwNpr1a6OpzWh9ShE-gycHJSprsE0AzbkOStXzrAKkQ 25
tsml_eval/publications/y2023/distance_based_clustering/__init__.py sha256=y6sHY2Z7i6ordoaWch7k9LPQO-RO8oUqgUNYqCVb5oA 457
tsml_eval/publications/y2023/distance_based_clustering/_plot_path.py sha256=eApLaUeVz_UGM4zJLEwu6oHjoZJh2YODOv5lZvpPmAA 4455
tsml_eval/publications/y2023/distance_based_clustering/_tuning_functions.py sha256=-5s_otif2fJwBljZtmHYk8I0p_QNr8MPy6qghfp6V_Q 5922
tsml_eval/publications/y2023/distance_based_clustering/run_distance_experiments.py sha256=h_sB2X4P9VQBVUnaWpGoiwBlvRoMHWNtaJwsI8GJ6dU 3928
tsml_eval/publications/y2023/distance_based_clustering/set_distance_clusterer.py sha256=kfrM811WZqbdi32yge66lmYW4Do4ni2ln0ZegXQ_Sbk 5365
tsml_eval/publications/y2023/distance_based_clustering/tests/__init__.py sha256=Zwy5VHgi_6ImDyCxroUPhZ6gcvibtOls1GgKOyoDGUs 266
tsml_eval/publications/y2023/distance_based_clustering/tests/test_run_experiments.py sha256=hQ8x0_E11FwoTyoGN_GQCgefb1ev9PpTwuSy4SYPwg0 1640
tsml_eval/publications/y2023/distance_based_clustering/tests/test_set_distance_clusterer.py sha256=9zCCGWL4nk6RhLhmDaewnpDAvse7DfW5GB78aKySTUo 945
tsml_eval/publications/y2023/rist_pipeline/__init__.py sha256=cZIdglDt9EkMazouJmg9UBvMW3HbzeIrKCYDpAB3TvU 728
tsml_eval/publications/y2023/rist_pipeline/run_classification_experiments.py sha256=1YyFG-yLP3D-1brIp34ZcweAjzp_rbjmIBbhdlRX5ic 2725
tsml_eval/publications/y2023/rist_pipeline/run_regression_experiments.py sha256=Br8hNJ7hJusI3szdME248PRmOvGQxbGj8wtgCd9XITI 2656
tsml_eval/publications/y2023/rist_pipeline/set_rist_classifier.py sha256=m24SY7CL8Ml6adkC7mhpjtlIZ4jIEIUPqNcrFtv-Nw4 5638
tsml_eval/publications/y2023/rist_pipeline/set_rist_regressor.py sha256=XbnAZmZRZyS0N6W1MjaT0xic2Usv1YBD3twcu_oUIds 3198
tsml_eval/publications/y2023/rist_pipeline/tests/__init__.py sha256=fIru4XFfw9sntM7WOFC_vmCj5iNPT9WdFkLDar_uo0E 252
tsml_eval/publications/y2023/rist_pipeline/tests/test_run_experiments.py sha256=8Qm1eTWHHNNBZ65Pj1VPQ2y6N_xJ6BlrzR7OyWfFo6E 2370
tsml_eval/publications/y2023/rist_pipeline/tests/test_set_estimator.py sha256=Omf-r77aDoQOZZWT9Rdwv6qFBxMrBqrqjDnBedfnpcI 1544
tsml_eval/publications/y2023/tsc_bakeoff/__init__.py sha256=zhtAe9krQPo6lKivuSmZDB0y87VNLqMBhQKdcQ4RPFA 364
tsml_eval/publications/y2023/tsc_bakeoff/run_experiments.py sha256=aHL2dv7cFqgGFnXb4I03jITnZJx7paii3WjK9Nfr72I 3709
tsml_eval/publications/y2023/tsc_bakeoff/set_bakeoff_classifier.py sha256=kQ4_UA4KFtgsZACrQ3euVHwI49q7LM_Y3NbVDycC4Pk 10569
tsml_eval/publications/y2023/tsc_bakeoff/tests/__init__.py sha256=0yHi4qG04ZF92w72s2q5PiSjzKniUGETLwYsC3cB-UE 261
tsml_eval/publications/y2023/tsc_bakeoff/tests/test_run_experiments.py sha256=qCGP36VN-aIarHJCiDmH9z900WF-Ynd5epWWA5grr-0 1342
tsml_eval/publications/y2023/tsc_bakeoff/tests/test_set_classifier.py sha256=xnbJGBV7kALIrTQpTeElwrupG6vbhuhP6PD03lcyin4 926
tsml_eval/publications/y2023/tser_archive_expansion/__init__.py sha256=3QnL-3tEKdpvDpe_9k2wmTIr5fnNQzDqGGVsNOA_xhk 393
tsml_eval/publications/y2023/tser_archive_expansion/run_experiments.py sha256=0256q5HolnW7tMeMg-QZB656z49IBNgY64W1edS31h4 2918
tsml_eval/publications/y2023/tser_archive_expansion/set_tser_exp_regressor.py sha256=WZXc2bwYtizyv7PoAERnhEFDDZyjeYwoo3Vw-3KABS4 7945
tsml_eval/publications/y2023/tser_archive_expansion/tests/__init__.py sha256=--r75GTKnVOBso5wcTpv3jJaVnGUnX5pLHsrOZygFbw 276
tsml_eval/publications/y2023/tser_archive_expansion/tests/test_run_experiments.py sha256=NKMogQ3OOk825cfpSiGaYq32KAXp6uRnQ4tCQbklMoc 1358
tsml_eval/publications/y2023/tser_archive_expansion/tests/test_set_regressor.py sha256=pMzgy5E71W5GZRIPEyXIrMRSXkgWiLvOvpPkNTMmhpQ 934
tsml_eval/utils/__init__.py sha256=2VkBXix_RxZnKmzNZgqUdaoV_pLMjIBabphEXc4sVIU 27
tsml_eval/utils/experiments.py sha256=_FXUVXLILB6iamIoBGi72W3O34sDoL6CvC0UVdtd-tQ 44425
tsml_eval/utils/functions.py sha256=qZfEAS-G4SIgg0qWewlNM9r5r1o8n0X06thDdyJ9vnc 732
tsml_eval/utils/test_utils.py sha256=oAMHEf8Yt8cSHWoC1D4mRWLU3DJuVL5lCalb0x8u_a0 2437
tsml_eval/utils/validation.py sha256=V9mxgOZlw3tOUvWAUTkU1HmKB4ceDrAdMLDzF3Sa8u4 1108
tsml_eval/utils/tests/__init__.py sha256=FFwHfHHOothW2TDLZdEhI9P20ZcDykWqitOSX18A9bk 22
tsml_eval/utils/tests/test_args.py sha256=tfTu89ktJBc4uRE9xdXPZZz3Hj3GTCbNM1pR0R24MLw 2442
tsml_eval/utils/tests/test_functions.py sha256=gYeycqgTSrHXWhQ5zly6G8d8vTVDlt3v4kwi-7AHnDU 274
tsml_eval/utils/tests/test_misc_experiments.py sha256=bRmq9J0dsqnVHLLWYdawVtq9eYZQna6trygSZp9UdrM 708
tsml_eval/utils/tests/test_resampling.py sha256=pHJ6UzYCE-oqk3iH3HJfq8iCJQ0u2XI1kQQfi3CVWMQ 5947
tsml_eval/utils/tests/test_results_validation_and_repair.py sha256=pdC9W2C-ybuPJtO3nWHI8jjUxhukHOdCA-sen5G8t-w 2461
tsml_eval/utils/tests/test_results_writing.py sha256=tLtuFp2Fi-pjjw65NFqpMEVbOrAptG3kN4ztmwyde4I 6778
tsml_eval/utils/tests/test_test_utils.py sha256=1J9eXDFAmErQFuuOL_z5BDWQLkHyyBEKS-5sv_0cG50 352
tsml_eval/utils/tests/test_validation.py sha256=Z7rqjLwG3zFU1zSP4LB-cY2ZYREAL-qCQCiBkb8I1m0 1034
tsml_eval-0.1.1.dist-info/LICENSE sha256=A0ilu9mnPKn-wdtKELTcepLgObPWurYoWnk6Y7JOxqQ 1553
tsml_eval-0.1.1.dist-info/METADATA sha256=aJyv2CwoHB-b0hiV9uUy1OGzW5GhyFIisgdLzmn2mtE 6496
tsml_eval-0.1.1.dist-info/WHEEL sha256=yQN5g4mg4AybRjkgi-9yy4iQEFibGQmlz78Pik5Or-A 92
tsml_eval-0.1.1.dist-info/top_level.txt sha256=bmbJTRWN5KD-nAMiMUHuKiXWmMEQ8pre17_Koi-i8rs 10
tsml_eval-0.1.1.dist-info/RECORD — —

top_level.txt

tsml_eval