Python projection of Windows Runtime (WinRT) APIs

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winrt-Windows.AI.MachineLearning

Windows Runtime (WinRT) APIs for for the Windows.AI.MachineLearning namespace.

This package provides the winrt.windows.ai.machinelearning module.

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2.3.0

Oct 20, 2024

This version

2.2.0

Aug 20, 2024

2.1.0

Jun 24, 2024

2.0.1

Apr 29, 2024

2.0.0b2 pre-release

Dec 3, 2023

2.0.0b1 pre-release

Sep 1, 2023

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Source Distribution

winrt_windows_ai_machinelearning-2.2.0.tar.gz (21.9 kB view hashes)

Uploaded Aug 20, 2024 Source

Built Distributions

winrt_Windows.AI.MachineLearning-2.2.0-cp313-cp313-win_arm64.whl (165.2 kB view hashes)

Uploaded Aug 20, 2024 CPython 3.13 Windows ARM64

winrt_Windows.AI.MachineLearning-2.2.0-cp313-cp313-win_amd64.whl (168.4 kB view hashes)

Uploaded Aug 20, 2024 CPython 3.13 Windows x86-64

winrt_Windows.AI.MachineLearning-2.2.0-cp313-cp313-win32.whl (151.7 kB view hashes)

Uploaded Aug 20, 2024 CPython 3.13 Windows x86

winrt_Windows.AI.MachineLearning-2.2.0-cp312-cp312-win_arm64.whl (165.2 kB view hashes)

Uploaded Aug 20, 2024 CPython 3.12 Windows ARM64

winrt_Windows.AI.MachineLearning-2.2.0-cp312-cp312-win_amd64.whl (168.5 kB view hashes)

Uploaded Aug 20, 2024 CPython 3.12 Windows x86-64

winrt_Windows.AI.MachineLearning-2.2.0-cp312-cp312-win32.whl (151.7 kB view hashes)

Uploaded Aug 20, 2024 CPython 3.12 Windows x86

winrt_Windows.AI.MachineLearning-2.2.0-cp311-cp311-win_arm64.whl (165.6 kB view hashes)

Uploaded Aug 20, 2024 CPython 3.11 Windows ARM64

winrt_Windows.AI.MachineLearning-2.2.0-cp311-cp311-win_amd64.whl (168.9 kB view hashes)

Uploaded Aug 20, 2024 CPython 3.11 Windows x86-64

winrt_Windows.AI.MachineLearning-2.2.0-cp311-cp311-win32.whl (151.4 kB view hashes)

Uploaded Aug 20, 2024 CPython 3.11 Windows x86

winrt_Windows.AI.MachineLearning-2.2.0-cp310-cp310-win_arm64.whl (165.6 kB view hashes)

Uploaded Aug 20, 2024 CPython 3.10 Windows ARM64

winrt_Windows.AI.MachineLearning-2.2.0-cp310-cp310-win_amd64.whl (169.0 kB view hashes)

Uploaded Aug 20, 2024 CPython 3.10 Windows x86-64

winrt_Windows.AI.MachineLearning-2.2.0-cp310-cp310-win32.whl (151.9 kB view hashes)

Uploaded Aug 20, 2024 CPython 3.10 Windows x86

winrt_Windows.AI.MachineLearning-2.2.0-cp39-cp39-win_arm64.whl (165.6 kB view hashes)

Uploaded Aug 20, 2024 CPython 3.9 Windows ARM64

winrt_Windows.AI.MachineLearning-2.2.0-cp39-cp39-win_amd64.whl (169.6 kB view hashes)

Uploaded Aug 20, 2024 CPython 3.9 Windows x86-64

winrt_Windows.AI.MachineLearning-2.2.0-cp39-cp39-win32.whl (151.9 kB view hashes)

Uploaded Aug 20, 2024 CPython 3.9 Windows x86

Hashes for winrt_windows_ai_machinelearning-2.2.0.tar.gz

Hashes for winrt_windows_ai_machinelearning-2.2.0.tar.gz
Algorithm	Hash digest
SHA256	`e830af4f88b723f147bbd70fc87b587673e987511069a67b88adea37b92837aa`
MD5	`cea0519fa2e040b6cf26b28337046ad3`
BLAKE2b-256	`9ed4ec12fa2f4e28a095e854bea8db27e86dc7f534b1896002683a6e3b7a9237`

Hashes for winrt_Windows.AI.MachineLearning-2.2.0-cp313-cp313-win_arm64.whl

Hashes for winrt_Windows.AI.MachineLearning-2.2.0-cp313-cp313-win_arm64.whl
Algorithm	Hash digest
SHA256	`f7db42968c48d6534f49f6c0cb2bae6e1dbae8543b554efc5caacc38b864580d`
MD5	`a520507300351bd17c1f2e9ffd1537bd`
BLAKE2b-256	`87b3f9d70cb9278e2d27883d06d8751f4f548911a41a9ee3dfd76622112ba5b4`

Hashes for winrt_Windows.AI.MachineLearning-2.2.0-cp313-cp313-win_amd64.whl

Hashes for winrt_Windows.AI.MachineLearning-2.2.0-cp313-cp313-win_amd64.whl
Algorithm	Hash digest
SHA256	`56d3ac7e78a59a87ec6d2c5fe77a08fa2455877f8e7f097eb600c1245149a5b0`
MD5	`86014e77d3d11c3f6c252e4a469a498f`
BLAKE2b-256	`94f834b4da7ebc46823cf736ff400abff077fefbce1edc4f089638aed44c8e62`

Hashes for winrt_Windows.AI.MachineLearning-2.2.0-cp313-cp313-win32.whl

Hashes for winrt_Windows.AI.MachineLearning-2.2.0-cp313-cp313-win32.whl
Algorithm	Hash digest
SHA256	`3ce9da94b7d74dc9c637b6e9e211133ffa789b703386b6ef2466f2ac772a37d6`
MD5	`1a5d0ca1ef9d9a1d2280230a9f1120af`
BLAKE2b-256	`e6b1adb507c59ffb72a98c47f33e2d37284b41a5cc524f0ced66f783e6a0d0c5`

Hashes for winrt_Windows.AI.MachineLearning-2.2.0-cp312-cp312-win_arm64.whl

Hashes for winrt_Windows.AI.MachineLearning-2.2.0-cp312-cp312-win_arm64.whl
Algorithm	Hash digest
SHA256	`b8b76742c52f52051599cf8b9bf045245434e5d1a5011fbd270f7d93ffe1ed69`
MD5	`d405c04c342e80d0997dfd5ce5e173f9`
BLAKE2b-256	`ae4976d41304175ce916e0c97d03a72ffe431d121408aed3d9242f0bd4ab0eec`

Hashes for winrt_Windows.AI.MachineLearning-2.2.0-cp312-cp312-win_amd64.whl

Hashes for winrt_Windows.AI.MachineLearning-2.2.0-cp312-cp312-win_amd64.whl
Algorithm	Hash digest
SHA256	`4883d68389ea7edce75ff305f061915b4705fdbf3d8de57d79b0331f30800bb8`
MD5	`5488aff2fa66f85f89b8157e77033a7d`
BLAKE2b-256	`a0ba492196324c41c3e5c7092ba1ffd00bf3f693d91943b23828531d0807383c`

Hashes for winrt_Windows.AI.MachineLearning-2.2.0-cp312-cp312-win32.whl

Hashes for winrt_Windows.AI.MachineLearning-2.2.0-cp312-cp312-win32.whl
Algorithm	Hash digest
SHA256	`b4cb01a32adb37b814a8152580b88f4fe1603f24f47fdf1cd19b3a6fbd3c38ec`
MD5	`0d589efca6e219ee66a359e03f3e2c18`
BLAKE2b-256	`57f813acb857ebb775e5e758e5b5ffbba99cf742700f75a840d49393a30492c7`

Hashes for winrt_Windows.AI.MachineLearning-2.2.0-cp311-cp311-win_arm64.whl

Hashes for winrt_Windows.AI.MachineLearning-2.2.0-cp311-cp311-win_arm64.whl
Algorithm	Hash digest
SHA256	`930023efd4e6419bd88b3d92b3bf26ff5adb133d21967a038fba61d0ee6165ac`
MD5	`a14472cd33602381ea06f5417852b43a`
BLAKE2b-256	`f51e5d8d4d43a145042b196f06a3712d8767632c259498ff435c3d0133b72d9a`

Hashes for winrt_Windows.AI.MachineLearning-2.2.0-cp311-cp311-win_amd64.whl

Hashes for winrt_Windows.AI.MachineLearning-2.2.0-cp311-cp311-win_amd64.whl
Algorithm	Hash digest
SHA256	`ddf398f849637236ece0fa87e54c7a8413937a13f32228caa9202e78ea3f3525`
MD5	`b74cf3f49e79ee69c6b905f06e6fadac`
BLAKE2b-256	`208b28616e65e767a6d53cc49f013a39b3dee7f6ccb7814b79438111681bd036`

Hashes for winrt_Windows.AI.MachineLearning-2.2.0-cp311-cp311-win32.whl

Hashes for winrt_Windows.AI.MachineLearning-2.2.0-cp311-cp311-win32.whl
Algorithm	Hash digest
SHA256	`8bc0aa1966dc23e47f17907ecdf14fea50a2dc462144ec4d595cb80d90489981`
MD5	`6396d90c5cbfd57b0e932448150c67d1`
BLAKE2b-256	`fd27acb6e67e3600685ef2c63fe1909614bbcb2b93b3ae94bb84fa3f56b295c4`

Hashes for winrt_Windows.AI.MachineLearning-2.2.0-cp310-cp310-win_arm64.whl

Hashes for winrt_Windows.AI.MachineLearning-2.2.0-cp310-cp310-win_arm64.whl
Algorithm	Hash digest
SHA256	`3c4ea2edccdf854ebb6d2f1e51f79cfe607901ccf6144ff4f3122d485f6f45cc`
MD5	`62d00989caade8ef97aeb3d1b68e9159`
BLAKE2b-256	`7258b28e08c8db07570f081d1efbc6a68fcf427ab4637e883068f5c71c168fc5`

Hashes for winrt_Windows.AI.MachineLearning-2.2.0-cp310-cp310-win_amd64.whl

Hashes for winrt_Windows.AI.MachineLearning-2.2.0-cp310-cp310-win_amd64.whl
Algorithm	Hash digest
SHA256	`59f6dade0cf38d8994b266ca8899de3beb59879c949a20680026cc4038b27cab`
MD5	`1acf0c60e7984bd075e2eaed39cec404`
BLAKE2b-256	`7c12df513c1c5e3409dbec178fe7f68e416305e1fd3746da3d32d8652bb35a6d`

Hashes for winrt_Windows.AI.MachineLearning-2.2.0-cp310-cp310-win32.whl

Hashes for winrt_Windows.AI.MachineLearning-2.2.0-cp310-cp310-win32.whl
Algorithm	Hash digest
SHA256	`d27a95015873f909db5583e17fcf38d9abe708f2065fe1a30c5c8fa13854b8d1`
MD5	`32d18a5a55c0fcfcdbe3d6f1ef1fde36`
BLAKE2b-256	`b13e3ef544ef5f02501b61dff85df1b238ebc61ad425c13b871d53d3eb0d456b`

Hashes for winrt_Windows.AI.MachineLearning-2.2.0-cp39-cp39-win_arm64.whl

Hashes for winrt_Windows.AI.MachineLearning-2.2.0-cp39-cp39-win_arm64.whl
Algorithm	Hash digest
SHA256	`aa8e53698d16e939f9f29ac52d1c6f3b903d1051ae8baa396c62641087137466`
MD5	`756aef6b95ada0fb2609d5901e946998`
BLAKE2b-256	`dcdab4f5367ef6596e22aa3198a9c45a95137a8a345380d05251f621c6f336bf`

Hashes for winrt_Windows.AI.MachineLearning-2.2.0-cp39-cp39-win_amd64.whl

Hashes for winrt_Windows.AI.MachineLearning-2.2.0-cp39-cp39-win_amd64.whl
Algorithm	Hash digest
SHA256	`408f5c8a59250c5c3a4dab135250d772287aa87785aa3601f1654fe595487697`
MD5	`b05f9e864333b93b519e4569d6a1c0a2`
BLAKE2b-256	`a91b527c651fab89d37ed5bcdbeeabd75ad14c56d9cb5782e4096fee7458a63b`

Hashes for winrt_Windows.AI.MachineLearning-2.2.0-cp39-cp39-win32.whl

Hashes for winrt_Windows.AI.MachineLearning-2.2.0-cp39-cp39-win32.whl
Algorithm	Hash digest
SHA256	`febc8583a8dbb3964f53b1748bea53a7bb1fcffd691be8adb8898667468df8a3`
MD5	`152feb3867c1625f5719c72a4974494f`
BLAKE2b-256	`15d426cf0845804413c129926e03afe056176153811e6104d7ae672f95b56f1d`