Skip to main content

The Gaussian Process Toolbox

Project description

Please refer to the github homepage for detailed instructions on installation and usage.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

GPy-1.13.2.tar.gz (1.1 MB view details)

Uploaded Source

Built Distributions

GPy-1.13.2-cp312-cp312-win_amd64.whl (1.6 MB view details)

Uploaded CPython 3.12 Windows x86-64

GPy-1.13.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.8 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64

GPy-1.13.2-cp312-cp312-macosx_10_9_universal2.whl (1.9 MB view details)

Uploaded CPython 3.12 macOS 10.9+ universal2 (ARM64, x86-64)

GPy-1.13.2-cp311-cp311-win_amd64.whl (1.6 MB view details)

Uploaded CPython 3.11 Windows x86-64

GPy-1.13.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.8 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

GPy-1.13.2-cp311-cp311-macosx_10_9_universal2.whl (1.9 MB view details)

Uploaded CPython 3.11 macOS 10.9+ universal2 (ARM64, x86-64)

GPy-1.13.2-cp310-cp310-win_amd64.whl (1.6 MB view details)

Uploaded CPython 3.10 Windows x86-64

GPy-1.13.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.6 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

GPy-1.13.2-cp310-cp310-macosx_10_9_universal2.whl (1.9 MB view details)

Uploaded CPython 3.10 macOS 10.9+ universal2 (ARM64, x86-64)

GPy-1.13.2-cp39-cp39-win_amd64.whl (1.7 MB view details)

Uploaded CPython 3.9 Windows x86-64

GPy-1.13.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.6 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

File details

Details for the file GPy-1.13.2.tar.gz.

File metadata

  • Download URL: GPy-1.13.2.tar.gz
  • Upload date:
  • Size: 1.1 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.19

File hashes

Hashes for GPy-1.13.2.tar.gz
Algorithm Hash digest
SHA256 a38256b4dda536a5b5e6134a3924b42d454e987ee801fb6fc8b55a922da27920
MD5 e3dff65987a5211971b1bb1eeb564538
BLAKE2b-256 dc309aac3d92db5ea57dfbc15a7ef5d8b0d8db5b32cfca5e9952a284a0ea8b2c

See more details on using hashes here.

File details

Details for the file GPy-1.13.2-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: GPy-1.13.2-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 1.6 MB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.19

File hashes

Hashes for GPy-1.13.2-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 1e783eb33d2b7d23d005c09b0450a468ff20c50a1312ba998b4643677c05781a
MD5 cda434511a1769c33e2fbdf267b77793
BLAKE2b-256 feeab53ea5728eae7baeaab78f627dcd629ce469ff5591387a04c78a138101e4

See more details on using hashes here.

File details

Details for the file GPy-1.13.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for GPy-1.13.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 39819890941a60685a1ba4b7ae834dfb6ac3c1d1a9aa31b8bd25ad573483a8e8
MD5 dfb60c1c40f06aad74b956eb9343a028
BLAKE2b-256 47054ee17fd89661d92ed621a95d252ec5800c37cdfe5728d2f49be380f819bf

See more details on using hashes here.

File details

Details for the file GPy-1.13.2-cp312-cp312-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for GPy-1.13.2-cp312-cp312-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 d3514cfcc1b46d2503aa75a6e12e57ca81d29d96e72bfc01f1b9702f4c298b80
MD5 0033bbb41cb29930e95c6f70be1f9339
BLAKE2b-256 98740f20626f4f3081d841f93625c8f7ba5af12dd09249705b4d2a2c77b596f6

See more details on using hashes here.

File details

Details for the file GPy-1.13.2-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: GPy-1.13.2-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 1.6 MB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.19

File hashes

Hashes for GPy-1.13.2-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 28195c9d5a9d8c7cc9809b916edb81dfcc48fd9a1d3bee22cb2ba90b1e88c876
MD5 a1ee7818902d8e42bfd40ce7da9f4f4f
BLAKE2b-256 d1f8b4c1085db806109aebbe2c4226ffccbb285d71d982f5bde9a68c681ae41a

See more details on using hashes here.

File details

Details for the file GPy-1.13.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for GPy-1.13.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f7f3a5d9f4562ec72936db01877406fd42a5020bd59f567ed6649c89769b782b
MD5 4d45c61c285b4d822937b6db20e6d673
BLAKE2b-256 73ad7cb1221f78e059fb1c5cf8115409bbb5de2a9b1ad3f85d4a04ddebc0053b

See more details on using hashes here.

File details

Details for the file GPy-1.13.2-cp311-cp311-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for GPy-1.13.2-cp311-cp311-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 385bf6c1d5872d6519d50e2bed1f08bc679d4a351ad0741ae580233934223e3e
MD5 1240d4ffb95ce8070380beddc44a170c
BLAKE2b-256 61d75f2fbdbdfb4ebfa04205f47fb09742dec0a4dca441e294ed852884b7313d

See more details on using hashes here.

File details

Details for the file GPy-1.13.2-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: GPy-1.13.2-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 1.6 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.19

File hashes

Hashes for GPy-1.13.2-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 f5a497ca01648e61044e9c1d0e8cdeb3f136a9878e9bc797698afeb96a84c24b
MD5 164cc468423c16f0687554386e6ec81f
BLAKE2b-256 eafea0622fbcb41a9f05457903e3d1078bfa3d04085bfa245025a5660cbffe21

See more details on using hashes here.

File details

Details for the file GPy-1.13.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for GPy-1.13.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 5e73d9188f529c4b9837b526afd786c242ba6bca598fd0f475eb03c0c3622dad
MD5 372e61a871f5ebe665ab7f742af0c5c8
BLAKE2b-256 bcf6bf80c45bbd4d7c91183ba7ec5da33200452fe639f23ff78872ec096cb997

See more details on using hashes here.

File details

Details for the file GPy-1.13.2-cp310-cp310-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for GPy-1.13.2-cp310-cp310-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 b56c71cd272c12845abb205617eb3d227ba6b369066011bffd5d6daf76292be1
MD5 a8ecbace818114737fdc0f0954706390
BLAKE2b-256 023c293597b7c466ca2f2ef44e739a9fde4210259cc9926ad1d97701edb455d4

See more details on using hashes here.

File details

Details for the file GPy-1.13.2-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: GPy-1.13.2-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 1.7 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.19

File hashes

Hashes for GPy-1.13.2-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 019508b4173030f0e9924e1a02c3a5a5325e426ceeb11d31bdb0850018f5d81a
MD5 f1271ea5df395ff6115ab8a898414515
BLAKE2b-256 d26b168dcaa3e9e0e89477fb5b34a197701166125e2631165f6149f4a113aff4

See more details on using hashes here.

File details

Details for the file GPy-1.13.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for GPy-1.13.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 9cabdd3e3426b65209e65c12b8999ab9b9c04006844d31f7e9a82c7097826fcc
MD5 d6d295fa5601d992c30d8f1fa4c6ef9e
BLAKE2b-256 7d995819ed5b6f5c6cd2ef706ea7abdab2ad83411f3b200e569b0e5da2389b8b

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page