mlinsights

View on PyPIReverse Dependencies (5)

0.5.0 mlinsights-0.5.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
mlinsights-0.5.0-cp311-cp311-win_amd64.whl
mlinsights-0.5.0-cp311-cp311-macosx_10_15_x86_64.whl
mlinsights-0.5.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
mlinsights-0.5.0-cp310-cp310-win_amd64.whl
mlinsights-0.5.0-cp310-cp310-macosx_10_15_x86_64.whl

Wheel Details

Project: mlinsights
Version: 0.5.0
Filename: mlinsights-0.5.0-cp311-cp311-win_amd64.whl
Download: [link]
Size: 1538968
MD5: 7fa8b4424f36d0b46cdd3995ec71396e
SHA256: 416776e434c585e2f550e72e3bf90324597ae708ecabb62879c474ca1a44a901
Uploaded: 2023-11-05 12:20:24 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: mlinsights
Version: 0.5.0
Summary: Extends the list of supported operators in onnx reference implementation and onnxruntime, or implements faster versions in C++.
Author: Xavier Dupré
Author-Email: Xavier Dupré <xavier.dupre[at]gmail.com>
Home-Page: https://github.com/sdpython/mlinsights
Project-Url: homepage, https://sdpython.github.io/doc/mlinsights/dev/
Project-Url: documentation, https://sdpython.github.io/doc/mlinsights/dev/
Project-Url: repository, https://github.com/sdpython/mlinsights/
Project-Url: changelog, https://sdpython.github.io/doc/mlinsights/dev/CHANGELOGS.html
License: Copyright (c) 2017-2023, Xavier Dupré Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Keywords: onnx,cython,scikit-learn,machine-learning
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: C
Classifier: Programming Language :: Python
Classifier: Topic :: Software Development
Classifier: Topic :: Scientific/Engineering
Classifier: Development Status :: 5 - Production/Stable
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Requires-Python: >=3.9
Requires-Dist: numpy
Requires-Dist: onnx (>=1.14.0)
Requires-Dist: scipy
Requires-Dist: autopep8; extra == "dev"
Requires-Dist: black; extra == "dev"
Requires-Dist: clang-format; extra == "dev"
Requires-Dist: cmakelang; extra == "dev"
Requires-Dist: coverage; extra == "dev"
Requires-Dist: cython; extra == "dev"
Requires-Dist: cython-lint; extra == "dev"
Requires-Dist: flake8; extra == "dev"
Requires-Dist: furo; extra == "dev"
Requires-Dist: isort; extra == "dev"
Requires-Dist: joblib; extra == "dev"
Requires-Dist: lightgbm; extra == "dev"
Requires-Dist: matplotlib; extra == "dev"
Requires-Dist: onnx-array-api; extra == "dev"
Requires-Dist: onnxruntime; extra == "dev"
Requires-Dist: pandas; extra == "dev"
Requires-Dist: psutil; extra == "dev"
Requires-Dist: pytest; extra == "dev"
Requires-Dist: pytest-cov; extra == "dev"
Requires-Dist: ruff; extra == "dev"
Requires-Dist: scikit-learn (>=1.3.0); extra == "dev"
Requires-Dist: skl2onnx (>=1.14.1); extra == "dev"
Requires-Dist: sphinx; extra == "dev"
Requires-Dist: sphinx-gallery; extra == "dev"
Requires-Dist: sphinx-issues; extra == "dev"
Requires-Dist: sphinx-runpython; extra == "dev"
Requires-Dist: tqdm; extra == "dev"
Requires-Dist: wheel; extra == "dev"
Provides-Extra: dev
Description-Content-Type: text/x-rst
License-File: LICENSE.txt
[Description omitted; length: 2482 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.41.3)
Root-Is-Purelib: false
Tag: cp311-cp311-win_amd64

RECORD

Path Digest Size
mlinsights/__init__.py sha256=AOr2zYJlAQmzDVQwEhh0GgLCVaxSG65XClzhn2kMxW0 222
mlinsights/_config.py sha256=7fBdVp7IFF08pgODOb9eJxEfjFbpCfswlyC7o6bSg60 302
mlinsights/ext_test_case.py sha256=_DephwVocqEO_Ah03CseQ8BteEE5gJXpVXri6OwONAk 18579
mlinsights/helpers/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
mlinsights/helpers/parameters.py sha256=SRGgO8CR-JO0W6LjAXDy59FBF2IjgRtaZBxBiopyY-w 1188
mlinsights/helpers/pipeline.py sha256=6j6zKspdGWEh_WNEykGDuJfEH-RX2VXmUMaInVKxGdY 8117
mlinsights/metrics/__init__.py sha256=mZUjXtBHCBhgw2JLmF3kgTQ_BOU7Nq1pEy-GxOCHIpA 101
mlinsights/metrics/correlations.py sha256=Y6xBEgqfQ4hCxGaTJOSM2KU8mgX738WdEr3Pd3EhrvE 5887
mlinsights/metrics/scoring_metrics.py sha256=-vUemAkIqzW_1pRkmsTw2bzYN0IoqzWu2pWFatNpf80 3338
mlinsights/mlbatch/__init__.py sha256=Tw7m3eUiOE_ksQr_bJ1EMxyGt0tKGh6dsGtboGF9c0I 77
mlinsights/mlbatch/cache_model.py sha256=7Kvh730xrgiZ-ZkRA-MX_TX2Se08A4fjw7AShrrFrLE 4103
mlinsights/mlbatch/pipeline_cache.py sha256=q_jfGRncLWfuYKOHjrQzwuVmahxb8oQ7lofvaQqdocg 5142
mlinsights/mlmodel/__init__.py sha256=ABNHU8NlyLKTsrMap1nKoAJIA7ZqHNjarI9_kD_c1xc 1239
mlinsights/mlmodel/_extended_features_polynomial.py sha256=Jm3QwpdtxrSJpKt9N9Fjj4y_Ztoyc0nkXZFFgdS3pcs 2216
mlinsights/mlmodel/_kmeans_022.py sha256=SMFoROCRkB5bgRHx8AHbJFSXcCTv_AbaFPFG-5RLhaQ 10978
mlinsights/mlmodel/_kmeans_constraint_.py sha256=3EXfk5JFt2Ej9ChG_xRrGgaICDyGGYjdwMsUj79t-a4 26138
mlinsights/mlmodel/_piecewise_tree_regression_common.cp311-win_amd64.pyd sha256=BNn2NT47CUuWLkxyEvlHABTBDXMsL-VR0H8fBwn9ip4 198656
mlinsights/mlmodel/_piecewise_tree_regression_common.cpp sha256=uiJczAAX1sIR-YijVTCUGRCNtSWKzB6BwH3MRNrnixg 1429567
mlinsights/mlmodel/_piecewise_tree_regression_common.pxd sha256=C4jONjw1ZtvzYINBIRPhCN3gQ5DMnki3MSkj5XVxhZQ 1001
mlinsights/mlmodel/_piecewise_tree_regression_common.pyx sha256=SisBnvAZYRJTt0s9YNZiwqARjyZmkOfYiKi4Zl5SrOA 13514
mlinsights/mlmodel/anmf_predictor.py sha256=ZauRW9M7ZNThEM9PYvWrZ7Ms9WaDDAG8o4IcV4j_Ucs 3557
mlinsights/mlmodel/categories_to_integers.py sha256=dnp-rQkusnacWSDK59lMVMu9zNP3ulriBQXUO7BAhuU 7889
mlinsights/mlmodel/classification_kmeans.py sha256=QVxo2xOakBJcRHCX1Mdtb8hcX1UgytPnepSNgp_hlJs 5526
mlinsights/mlmodel/decision_tree_logreg.py sha256=gl8Npx83W-BFYXBZrv3_j2_gqRT_m6y-0g13yKNKxOs 19369
mlinsights/mlmodel/direct_blas_lapack.cp311-win_amd64.pyd sha256=PuxHApyX74KafpU0Lta_iIuNvJK31cClfgYWQRxJz5A 152576
mlinsights/mlmodel/direct_blas_lapack.cpp sha256=prA_oSEchFK6RzFMPjOy2jpb4DhbQoy2Qk9-22r1gdQ 1113171
mlinsights/mlmodel/direct_blas_lapack.pyx sha256=QCbFXfF7XUsOzXPRxOlZxgfEjIp-I5X91IcmJsCeviA 4010
mlinsights/mlmodel/extended_features.py sha256=snYKgOpRLMLz9yyJbNWHfN76WxEUVhEb7DPARS6admM 7216
mlinsights/mlmodel/interval_regressor.py sha256=J5Tba3FehYc6Ex5zCWVTltUeA_s84ylvzE2sjPTqEt0 4793
mlinsights/mlmodel/kmeans_constraint.py sha256=0tj3aKf65rUrBnQghY6wos4yxjeB34mx2VNZZb_NAsQ 10293
mlinsights/mlmodel/kmeans_l1.py sha256=G_aZze6B1Ma-gnhPCmWWwQSPUWdqVCWNUKUxnZsnE_Q 28703
mlinsights/mlmodel/ml_featurizer.py sha256=JXLta0QAj3egO34NJcEFqfQopGg7QFjQiNJ84jADMkY 6998
mlinsights/mlmodel/piecewise_estimator.py sha256=hPTDGd9tuT2nHCesuNTei_Ygtm_hwBr4u7IQK4Rppcs 16571
mlinsights/mlmodel/piecewise_tree_regression.py sha256=k-3fTyzxlR7ZXwLexRxfz7cxB3DIIzF8I8KgxCiDc4o 7515
mlinsights/mlmodel/piecewise_tree_regression_criterion.cp311-win_amd64.pyd sha256=bzYUvo_oq6Vo9ZhCKJAzv2p58OtmODuuTfbwoEuKq-k 151552
mlinsights/mlmodel/piecewise_tree_regression_criterion.cpp sha256=myFxL0J2ti5kk-cDEpX56vtkuw5cKOY1EJhV_plONyM 1253346
mlinsights/mlmodel/piecewise_tree_regression_criterion.pyx sha256=5plCi4Matkg9o1AZqNVBhIXOsDf4lllQNnmfLt-MZbE 7904
mlinsights/mlmodel/piecewise_tree_regression_criterion_fast.cp311-win_amd64.pyd sha256=QcrlapOL4KQ5yD1shDFKQ5M7XoEcNZ4r-4Zcld0D3bw 145408
mlinsights/mlmodel/piecewise_tree_regression_criterion_fast.cpp sha256=NILMymEovrM8o1ECjNvnhAULpD33NeADGeT9c3l45ig 1243467
mlinsights/mlmodel/piecewise_tree_regression_criterion_fast.pyx sha256=7q34PDfUgScVK50-5kh_OZYRkynRJzUFiXiXEN9JCXU 7455
mlinsights/mlmodel/piecewise_tree_regression_criterion_linear.cp311-win_amd64.pyd sha256=FDdGbv0heD33OlrR8GuezZ1mSy6RlRGUaaqN5bmTsiM 181248
mlinsights/mlmodel/piecewise_tree_regression_criterion_linear.cpp sha256=dDKMaIyLkkWlFYKP8mAacNZzOtrptfpQBuZjqEiWz-o 1363518
mlinsights/mlmodel/piecewise_tree_regression_criterion_linear.pyx sha256=jekVv3xBxg3trDfoH55KQMIw6yr2tKaBP7yzK2jR6UE 13086
mlinsights/mlmodel/predictable_tsne.py sha256=__mpaepcf1TC3srfG-MJXYJJZXt1stPYRP1NS6ZfylI 5970
mlinsights/mlmodel/quantile_mlpregressor.py sha256=f1SWJqBNhuTYn8i_xw8cbY5EA8sJx6Ajpz6YqJ0eUPI 18992
mlinsights/mlmodel/quantile_regression.py sha256=xVH31tlmeI_m00MSNke7SZcinqNCfovqJUf_-lXfF0A 7734
mlinsights/mlmodel/sklearn_testing.py sha256=YTUdQMDpzmYD5YKTdb7FnvWIkcCkBzk6yqLQEuJhJ0o 11407
mlinsights/mlmodel/sklearn_text.py sha256=V0fKF5fILcYTIdvf57qKSck0256NxC6K9DFMXVgQiqE 5914
mlinsights/mlmodel/sklearn_transform_inv.py sha256=2KAhfaX9rVPkmOCrza5bkm1tkXNPBWRSxYByXS0XrlM 852
mlinsights/mlmodel/sklearn_transform_inv_fct.py sha256=yVU6AM5R5a-Hd33OQOaj2gmodi0RNWyP4eMVlZEKMws 7652
mlinsights/mlmodel/target_predictors.py sha256=6khqquzCLzOAZX-An8UKR-WcMK8n25VcID3EGY5sVjo 10507
mlinsights/mlmodel/transfer_transformer.py sha256=9pMS6WSIpDwohQ6DsJwcEKSM2UrI-sCC3Q6v3e0SC4E 3451
mlinsights/mltree/__init__.py sha256=CTVIk8G8_CGpQ4S_1MIy3KvESXSb-IIwCYwF32a5K6w 169
mlinsights/mltree/_tree_digitize.cp311-win_amd64.pyd sha256=Gk8ClHjKo8yHV7UinTYGKG6DkGJJ3ykYawkZYFD1zJ4 137728
mlinsights/mltree/_tree_digitize.cpp sha256=NbMiWpJtQHJ8R8IPMPu3IIU4BR91-b9VcqXxNM-A4TA 1101872
mlinsights/mltree/_tree_digitize.pyx sha256=OiawmpMYztUohKg1T1juJWgYxRu-XKwuZVxzn_e5b5o 1788
mlinsights/mltree/tree_digitize.py sha256=wxcbwWUKB3IdZOU8Fh5vNj3Fdat_1cKK2JVAZOzEjJs 5187
mlinsights/mltree/tree_structure.py sha256=jJ8utsibf7c5NYRlO7YlZm4p06YO3S6VkNatzSIbtzs 9763
mlinsights/plotting/__init__.py sha256=UCid0gxZijU4IZxKZY7CxgaBBkKJjG0ccsD8bpsvAOE 93
mlinsights/plotting/gallery.py sha256=wmLokCXNRpCpnY9DFWs5cCdDyvPsngydT6b-tWO3IrY 3151
mlinsights/plotting/visualize.py sha256=TYz6PpYMe4yKQ1_aBt_i9INg7NpqZasOLIs_VWREnKo 13415
mlinsights/search_rank/__init__.py sha256=QASz5t3Ffq1WC0ePSaTtg_zpBuAA6_YiLMn99Yjs5y8 196
mlinsights/search_rank/search_engine_predictions.py sha256=tisBHzvbO4jYM9kurJc5a_didwXGYprgBD4jWdVaxu8 3296
mlinsights/search_rank/search_engine_predictions_images.py sha256=BTYCD5kFdl-6K625n4Y8xWXcAnaTpYv1w1x0v5KFKig 4312
mlinsights/search_rank/search_engine_vectors.py sha256=qw-lwFSmqCcjuf1OXOOF1B7rbta9dBKA__BNZnC15UQ 9765
mlinsights/sklapi/__init__.py sha256=dAqz7EVBZBOX-l883TGiRMAayCEDQ7nxGBOo2HjRZLM 384
mlinsights/sklapi/sklearn_base.py sha256=TVCb5qQ4RccYHKGfs89cxMzZj18kHQqgki5FvNteWDo 4862
mlinsights/sklapi/sklearn_base_classifier.py sha256=OTpJ1oHEtwyzoMNQpg83rLAlUc_e3cxEabimt9EAsIM 1306
mlinsights/sklapi/sklearn_base_learner.py sha256=MpQ7N-wdACEOtvAVU_Ih2Aqbjc0wZ7_n6jee1WUYz9c 1890
mlinsights/sklapi/sklearn_base_regressor.py sha256=XJNC1pv8xsa6kIvkmVhYh0qLdjRMVAXhzn_kYZeN9No 950
mlinsights/sklapi/sklearn_base_transform.py sha256=PFOzvAQwUmHGX_DsD-HOFAMnp3dlNSPhNnBqDoKov1U 1193
mlinsights/sklapi/sklearn_base_transform_learner.py sha256=mpscfPonYKGNksiJCfKruaXi1Jxp1BXNS-dCI9brb20 6486
mlinsights/sklapi/sklearn_base_transform_stacking.py sha256=HBAFp-_XyHeB9n3ROnY7cBzb_eNo5AYRr6PQ2t1vkTo 6771
mlinsights/sklapi/sklearn_parameters.py sha256=-4UTNjE82POUAfpSGc_mCi32RNXP2RtpKCYHDPsRQog 1577
mlinsights/timeseries/__init__.py sha256=vLFO7xN4AGhWqQ5sq63UsNxVFHXwK9gLBfQe7wvpoFI 72
mlinsights/timeseries/agg.py sha256=mgpEVPC2CKJr_F00m-YWDnVTLlouG6QgV6-43olnmMQ 3201
mlinsights/timeseries/ar.py sha256=ChNOwpdCl9VueKeUKBu29ZW96VrdKI5ja8V0AkI94M8 2883
mlinsights/timeseries/base.py sha256=WVMAvhmAzfms7EP2jHllMKZXt-nFR0OCtQsh7KEEPyo 6279
mlinsights/timeseries/datasets.py sha256=zBUCKLy97zbngtHJ5dC2ILSepUhXCQ4XnkcpECo0YSo 1290
mlinsights/timeseries/dummies.py sha256=VYU_LzcSBhGYdBbXbXX0EkpvAIgwpkKFPEZemchdnkM 2496
mlinsights/timeseries/metrics.py sha256=8g9hW_HOaZ4jqQPRY-8AXyuhKDqilq5NTFGAFdw4t7w 1452
mlinsights/timeseries/patterns.py sha256=UJvVNbDSXpLlS-bUgxEUboIFp2duipo6x4atYW9gdAg 2987
mlinsights/timeseries/plotting.py sha256=aSF7oMitQ8hqxAX3HpQtxNub6XncQ7TSL1GGZMhAEWw 6317
mlinsights/timeseries/preprocessing.py sha256=63rYHByowzRk_K0_zBBpc-UHO4LvhD8-WBXt6N60eus 3423
mlinsights/timeseries/utils.py sha256=KM7ELZ8DtLOh9AeYoKHojIbbJHkxBNxSn1Uzag384KA 7618
mlinsights-0.5.0.dist-info/LICENSE.txt sha256=3KfSpTZlTQlLffilPugicRpSHk2_Auh7YPS9Q4Pi9JA 1083
mlinsights-0.5.0.dist-info/METADATA sha256=6JLT2zEbyaNfXLwA0dyKRIE70aLTklkNjEIyV6AvQPw 6589
mlinsights-0.5.0.dist-info/WHEEL sha256=82gZYSdmJ63dmEqVXfVfYjP-6F3ar13SybIjiy8AOec 102
mlinsights-0.5.0.dist-info/top_level.txt sha256=RCrYYquktBM_E1dRTKnr9U1gLel9E_ZsU166Nu0ihOE 11
mlinsights-0.5.0.dist-info/RECORD

top_level.txt

mlinsights