gpyreg

View on PyPIReverse Dependencies (2)

1.0.2 GPyReg-1.0.2-py3-none-any.whl

Wheel Details

Project: gpyreg
Version: 1.0.2
Filename: GPyReg-1.0.2-py3-none-any.whl
Download: [link]
Size: 68676
MD5: 3900e3a8b312aaeb5374db164bad385b
SHA256: 43a457368af23463fb61575e501dffbfb4c1c960c32d380424b91560d1028822
Uploaded: 2023-06-02 14:31:55 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: GPyReg
Version: 1.0.2
Summary: Lightweight package for Gaussian process regression.
License: BSD 3-Clause License Copyright (c) 2021, GPyReg Developers and their Assignees 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.
Requires-Python: >=3.9
Requires-Dist: matplotlib (>=3.5.1)
Requires-Dist: numpy (>=1.22.1)
Requires-Dist: pytest (>=6.2.5)
Requires-Dist: pytest-rerunfailures (>=10.2)
Requires-Dist: scipy (>=1.7.3)
Requires-Dist: sphinx (>=4.3.2); extra == "dev"
Requires-Dist: sphinx-book-theme (>=0.2.0); extra == "dev"
Requires-Dist: build (>=0.9.0); extra == "dev"
Requires-Dist: numpydoc (>=1.2.1); extra == "dev"
Provides-Extra: dev
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 3446 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.40.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
gpyreg/__init__.py sha256=4j8Ghk6AGFJpnJljxtj67btDB2wTmOksp2CxSxL4kpw 286
gpyreg/covariance_functions.py sha256=cMf-cWEQovVY-ef_vXhctkcN1gci0B-oZXRdwT4Gba4 14839
gpyreg/f_min_fill.py sha256=gdjNVHfYMn6wVaxN-FpvtQa4KugwK9icAnHcrlvZ9Oo 11473
gpyreg/formatting.py sha256=lONidnxs7ac_YYYDEyTCOuSEZC0wmrcggXnAuVBWSgY 6202
gpyreg/gaussian_process.py sha256=V1cWTQQn3KLKseJD2B952DaXJnwuCeuZgNyV5iZadOI 93944
gpyreg/isotropic_covariance_functions.py sha256=mJ6ZoQJbqwMJaPsUV2fhBsV7mUCspCe48Vny1VqTqLY 8512
gpyreg/mean_functions.py sha256=nAweKkGB2clEx9hZb_h5AJhSkXhiZmlKYQIcdsS7O6A 13994
gpyreg/noise_functions.py sha256=K8vLjWt0i5RwcW0RvyQhR-uStELdp3ybPktlAu9pbWA 9566
gpyreg/slice_sample.py sha256=LCvf616WBbn5j-eLfUck7a8u-jNhyIMuJbfQU15uQ0o 30716
gpyreg/examples/example_1.py sha256=9iL5J6k6OuxpbP9jJi21auk6iYVofr_Q5J8A_SB5tyQ 1260
gpyreg/examples/example_2.py sha256=PU9eAxDi6fKWqlyBiDCIy6nZIanbHuK7d5Pb0YYkV1o 2473
gpyreg/testing/__init__.py sha256=Rp-oVVI8QAEc9N5VY4Jsv3a0T0uA4fGymeAGgKPR5tY 56
gpyreg/testing/test_covariance_functions.py sha256=I2XB-OTjr_r0SWzxsiVveS75dxZVJJVvsWOHTdLqkko 5906
gpyreg/testing/test_gaussian_process.py sha256=8pjdk6rJ78HsQl76jKjBC-EWNOHpgNTQPnSdix34hkY 36735
gpyreg/testing/test_gaussian_process_isotropic.py sha256=lVLr0Twibb1N4bcRkyg3v1Gb4WQShdVqPpr2yM506sY 35440
gpyreg/testing/test_isotropic_covariance_functions.py sha256=18whQ-Jg8REnZknpTELz8X9UO-mVbZ1jE51qHhG-jlk 7113
gpyreg/testing/test_mean_functions.py sha256=cVdvht6TJCsqYj-KXw_bKBi6Rg_74X9AWgChy7cVd18 1729
gpyreg/testing/test_noise_functions.py sha256=akONoFUVUaAwQD3_PnROJ5Mf4LTZ-P-5e8I0_cfQ7Zk 697
gpyreg/testing/test_slice_sample.py sha256=4-oM_JSblOTGp9I787moAKB4S_w90H410ILdXD1EZ2Y 7764
gpyreg/testing/test_smoothbox.py sha256=ub-FREG7Nj7q93pfnBHkvdcX53V0C2oYnyezNvnVMnI 3184
gpyreg/testing/test_smoothbox_student_t.py sha256=WPWQtteNsuQBYCGrOurjd2jo6Nhkt-30G2qjJnHiB14 2363
GPyReg-1.0.2.dist-info/LICENSE sha256=2m2r9IG8ZNdvVw6ytv3NMBlE1gsk8Xt9j6ycqaWLiPs 1545
GPyReg-1.0.2.dist-info/METADATA sha256=kjmrAMfpNoU4VW6hr9_sU3_LDhBZa-iLx8t42hjdjj8 5835
GPyReg-1.0.2.dist-info/WHEEL sha256=pkctZYzUS4AYVn6dJ-7367OJZivF2e8RA9b_ZBjif18 92
GPyReg-1.0.2.dist-info/top_level.txt sha256=BbO6PKXQ-bS2l6Ahjs1dY_TcY7Oh0lLX9heBeQRfmi4 7
GPyReg-1.0.2.dist-info/RECORD

top_level.txt

gpyreg