convst

View on PyPIReverse Dependencies (0)

0.3.1 convst-0.3.1-py3-none-any.whl

Wheel Details

Project: convst
Version: 0.3.1
Filename: convst-0.3.1-py3-none-any.whl
Download: [link]
Size: 55711
MD5: d1f6d9a6b62f8ef7a45f35abf176158b
SHA256: c61eba66eee720bd36fa6c07fe78e994070bd84c51235c17f399b16210737715
Uploaded: 2023-08-03 08:04:29 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: convst
Version: 0.3.1
Summary: The Random Dilation Shapelet Transform algorithm and associated works
Author: Antoine Guillaume
Author-Email: Antoine Guillaume <antoine.guillaume45[at]gmail.com>
Home-Page: https://github.com/baraline/convst
Download-Url: https://pypi.org/project/convst/#files
Project-Url: repository, https://github.com/baraline/convst
Project-Url: documentation, https://convst.readthedocs.io/
Project-Url: download, https://pypi.org/project/convst/#files
License: BSD 2-Clause License Copyright (c) 2021, Antoine Guillaume 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. 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,data-mining,time-series,shapelets,time-series-classification
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: BSD License
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 :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Requires-Python: >=3.8,<3.12
Requires-Dist: aeon (>=0.4)
Requires-Dist: numba (>=0.55)
Requires-Dist: numpy (<1.25,>=1.21.0)
Requires-Dist: scikit-learn (<1.3.0,>=1.0.0)
Requires-Dist: scipy (<2.0.0,>=1.2.0)
Requires-Dist: pandas (<1.6.0,>=1.1.0)
Requires-Dist: joblib (>=1.1.1)
Requires-Dist: matplotlib (>=3.3.2)
Requires-Dist: seaborn (>=0.11.0)
Requires-Dist: pytest (>=7.0)
Requires-Dist: sphinx (>=4.2.0)
Requires-Dist: sphinx-gallery (>=0.10.1)
Requires-Dist: numpydoc (>=1.1.0)
Requires-Dist: alabaster (>=0.7.12)
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 7902 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.41.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
convst/__init__.py sha256=1tBKumbc8A3cuuKntoAWw37BKPKxpq6_QSmHfYLjkp0 268
convst/classifiers/__init__.py sha256=yni8YNWKKgWFfSmKu7qYgFty5AA7SCp5Ciyb-YKnHjc 360
convst/classifiers/rdst_ensemble.py sha256=yqaSw3DNh_lfDfsSSAxrQuk-MhaD3GDAiLJq2E-Bjjc 11540
convst/classifiers/rdst_ridge.py sha256=q2HHSFJfsOw5WrYVKq0gsL8u9DWVOyVM8KHro_Whf0U 9614
convst/interpreters/__init__.py sha256=4DMTC9IjJmjfdLAC3vdG4sQVmVf5SKEIgj9qtEiBafg 282
convst/interpreters/rdst_interpreter.py sha256=5K_O9sxXx1elDqd1gvOxk_R20og1lVUPlPEcf1Ni_O0 17523
convst/transformers/__init__.py sha256=3o_EGK_9DlZ9I7t5L5nYLhkAn6DSspukKa0i1qZK-jg 173
convst/transformers/_commons.py sha256=WT0sZDs3AXLSRLsam7ZcfZ80QXrDSGp2EQBXvu2_IK4 19798
convst/transformers/_input_transformers.py sha256=XCIrpWSP_cT2OdutlT17sNNK4PfD0-XuXSucYQPRzJw 4786
convst/transformers/_multivariate_same_length.py sha256=6sXFgiqAaBHPe_iIaRRgu9JhBcXqcGfQboO4rPeyxcE 15510
convst/transformers/_multivariate_variable_length.py sha256=tIgkgYaISl6WfM02xeo3BRf46CBNJPnds4whW7pACTQ 16916
convst/transformers/_univariate_same_length.py sha256=fZDsXSgltPwjHvFD3fEIXNpGmfN9t2UjPcNoYyHBqbA 12561
convst/transformers/_univariate_variable_length.py sha256=obyaCZHoQC8dr6VPDf020lSGFoVgv5cMseXc1D5pAX8 13600
convst/transformers/rdst.py sha256=oFlhWwlqZa7ax0ZOJWJ-qNhy7MjxRqvlmy-OdlsXBf8 20936
convst/utils/__init__.py sha256=r8mPe6WO2dYUC_RzaihwdAXHhB8ENRHCDi3Qd1vD6lY 119
convst/utils/checks_utils.py sha256=eMHKDF-3yVryb470AhN0IXxo5Voxfug7_Wc1X8PnUW0 5703
convst/utils/dataset_utils.py sha256=Q6irePftHMPmxuawFM7jgQ0x096ze2zFikjOFgadkFk 9613
convst/utils/experiments_utils.py sha256=FTv4-naPmxXJagiUTsQODFiLHzBlJZm_JAMoPCq6Te0 7270
convst/utils/numba_utils.py sha256=iEa7NEkHtJRBnvJnQmEly7xoemfmsJsStV4NNL-TC48 3466
convst/utils/plot_utils.py sha256=ETFSazdfsgiAL1BHNAdFPlnSMomGB_hbz6BqsT6eoSg 20896
convst-0.3.1.dist-info/LICENSE sha256=IgFVARHjej_nBS63VA7TdI7FDwIWpiQhYgZ4Wc_5AsQ 1327
convst-0.3.1.dist-info/METADATA sha256=Q15OzKfrr7rvK6CrJSX8v5-Vzovx2Nr1st8yxKmP68k 11267
convst-0.3.1.dist-info/WHEEL sha256=AtBG6SXL3KF_v0NxLf0ehyVOh0cold-JbJYXNGorC6Q 92
convst-0.3.1.dist-info/top_level.txt sha256=1kTOMH6drUD86dLxE7V78Ar4vZUIb1j-7mSOjfjxZws 7
convst-0.3.1.dist-info/RECORD

top_level.txt

convst