scikit-activeml

View on PyPIReverse Dependencies (1)

0.4.1 scikit_activeml-0.4.1-py3-none-any.whl

Wheel Details

Project: scikit-activeml
Version: 0.4.1
Filename: scikit_activeml-0.4.1-py3-none-any.whl
Download: [link]
Size: 252713
MD5: a61131f806aa1cd28d375a9b05544a82
SHA256: 7861f9e0f6080f3f74cc26128c36cf434ba59ef871f511d16d8fc17f468707de
Uploaded: 2023-04-27 09:12:22 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: scikit-activeml
Version: 0.4.1
Summary: Our package scikit-activeml is a Python library for active learning on top of SciPy and scikit-learn.
Author: Marek Herde
Author-Email: marek.herde[at]uni-kassel.de
Home-Page: https://github.com/scikit-activeml/scikit-activeml
License: BSD 3-Clause License
Keywords: active learning,machine learning,semi-supervised learning,data mining,pattern recognition,artificial intelligence
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Requires-Dist: joblib (<1.3,>=1.2)
Requires-Dist: numpy (<1.25,>=1.22)
Requires-Dist: scipy (<1.11,>=1.8)
Requires-Dist: scikit-learn (<1.3,>=1.2)
Requires-Dist: matplotlib (<3.8,>=3.5)
Requires-Dist: iteration-utilities (<0.12,>=0.11)
Description-Content-Type: text/x-rst
License-File: LICENSE.txt
[Description omitted; length: 8836 characters]

WHEEL

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

RECORD

Path Digest Size
skactiveml/__init__.py sha256=KYHEKtiGX4cnxlhm3f5L5GIxstA_xr8-fdysectwhrM 145
skactiveml/base.py sha256=VLpRFn6Qw6bpIIdf8DgzSEg9JgEQKX3IZTx5-R4yCkk 58674
skactiveml/exceptions.py sha256=FT0xd0Mo9a2jqc75SoZ8weMx1F0PTabSJ9n4x5iPJp8 194
skactiveml/classifier/__init__.py sha256=2YY4pKYq0sgLrbiZ_NxRudjCXPbpvp9bGF_EKDOdAMU 391
skactiveml/classifier/_mixture_model_classifier.py sha256=EFyI6qhbQNQNcOAdvuQIVSLYWq1gKM-gwsick8DDB0M 8300
skactiveml/classifier/_parzen_window_classifier.py sha256=vYZDWPeI0dMRSlFaLZil1VrNVLSLvWf6LrQk6i0LK14 9410
skactiveml/classifier/_wrapper.py sha256=x0r84t7TNLjuJzJK-AUppAk5k1zc6omlPtbxC5hxf7I 28453
skactiveml/classifier/multiannotator/__init__.py sha256=XHGjeL7UCDxkb_6D2WqUa1iwbC5QIwE1I6-cd0eaBSg 218
skactiveml/classifier/multiannotator/_annotator_ensemble_classifier.py sha256=fUtjBOIVkCBXXQMj1kkfS0qbcgVQwYis-Q9itRG00ag 8606
skactiveml/classifier/multiannotator/_annotator_logistic_regression.py sha256=1RFqm2xZ7Mjzde-0V3aUsuyJMvU-JUTs5Xk7ysJ06r4 24839
skactiveml/classifier/multiannotator/tests/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
skactiveml/classifier/multiannotator/tests/test_annotator_ensemble_classifier.py sha256=pQ0WXHzh4BbzNxCe86KAyu95uXqTpmc2-EHUnt35glo 5564
skactiveml/classifier/multiannotator/tests/test_annotator_logistic_regression.py sha256=1C0tN6dNOBSd5nIutBNKm_l1BklHbdvO548o3ws9X4o 6516
skactiveml/classifier/tests/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
skactiveml/classifier/tests/test_classifier.py sha256=xJYFSyxtGCIM-FDaEi7n_7MqyxO1J35nWXuyadN0XUo 19556
skactiveml/classifier/tests/test_mixture_model_classifier.py sha256=6uEgRLzw2ylGeG2PlTTEI_6bSxu2zwE5-5IsCdkQVM0 7346
skactiveml/classifier/tests/test_parzen_window_classifier.py sha256=u064xybyUqSNqf-3vEXL_IyT-3LCMToU-V1WpiylgnM 9649
skactiveml/classifier/tests/test_wrapper.py sha256=NUlklkJqS-6G0ZrJHmGfLO38wVrgRUGT3miu3eFRbkY 20043
skactiveml/pool/__init__.py sha256=15oq6lP-MCWAd2M4S7U1pySL54_9xM6Jk8_Fbk-FKZY 1873
skactiveml/pool/_batch_bald.py sha256=0neRaMqAGKiqrdy5tbuOX99KNKEjLcuEdjCNz_kLdQk 15717
skactiveml/pool/_cost_embedding_al.py sha256=mcmSFL-Nf4Qk2CJsyAAZLuZkxPTseJf6g8AeY5vAbPs 27361
skactiveml/pool/_discriminative_al.py sha256=V0IzlaqrGKcS0wGjph9x63loUC-bwvj5WDbb_m1t1rg 7896
skactiveml/pool/_epistemic_uncertainty_sampling.py sha256=rueJiF9mT0E_xYhhMNSgze10uOK_kOPrTZ4Hs9fxYmI 24199
skactiveml/pool/_expected_error_reduction.py sha256=_tt9mK_p8dDtxGxyxAPwcHGxmD-OvsuFnn1cc3dafEo 35076
skactiveml/pool/_expected_model_change_maximization.py sha256=O9KHr9RxeAZEGCZLb5lXS-NtC5qcXzWGi1E4MBQPKEo 9754
skactiveml/pool/_expected_model_output_change.py sha256=5pR23WRM8uCw-IRuk8EKPXx5Ckl861A0kr1U-t--b2o 8098
skactiveml/pool/_expected_model_variance.py sha256=_jz_KDPrWKfdA2kG_wTJJCrdgCEUYeTyaZRWMVLujtY 6923
skactiveml/pool/_four_ds.py sha256=v5-C093-7Xdny8JYr_Drb5m21Ny1Vim1fa60ms-gt_c 10826
skactiveml/pool/_greedy_sampling.py sha256=bBqbZlgBg_iFEOV3cPwRrE6O-6QX6MINbgkwv_Ae50M 18473
skactiveml/pool/_information_gain_maximization.py sha256=zYgPmyQrktfM0dAl9foWFtbIkb221sGQv_Y6WraXKYU 9766
skactiveml/pool/_probabilistic_al.py sha256=2H9cSMoP4-i3_9NdrRjLzXNEYGI8e8PycDfhEJCubM8 13101
skactiveml/pool/_query_by_committee.py sha256=X2MauyoSAOYQWIjgli4gpOnjHYimeYKCm0U6zGEHz2c 12792
skactiveml/pool/_quire.py sha256=6abvduz0x4C0B5TplocVAmIKncQERnyPfX6PMcLV-M8 9512
skactiveml/pool/_random_sampling.py sha256=leW5rHQRM-B8GE1iAcrWZj2X1yAyCFR37NWlNsjAkj4 3952
skactiveml/pool/_uncertainty_sampling.py sha256=ylJe34C91OqCNyx43e7zpcUAiWjRxhQRqDnVa3bkdak 15651
skactiveml/pool/utils.py sha256=GVlfZhqRfeVtmSxW7rNblLMqOuSERedN-kIOUQMWS7w 42406
skactiveml/pool/multiannotator/__init__.py sha256=XbnJ7gPIARKkqK_1XBu46vj9o4UaqkEPtDyPTVnf0rg 414
skactiveml/pool/multiannotator/_interval_estimation_threshold.py sha256=lGNW1UppMleH2vhhYKn-ux3vCXmm3jE7PciqCRC5tHA 15738
skactiveml/pool/multiannotator/_wrapper.py sha256=Gv_6OKRNy7-OAB6ZW6B1v86KNqTfuRTw8R7ciyefPAc 18007
skactiveml/pool/multiannotator/tests/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
skactiveml/pool/multiannotator/tests/test_interval_estimation_threshold.py sha256=PVBQX-ynJtY95W2K449RCC0AZ2imBS1S1iF6WJBFNIo 16310
skactiveml/pool/multiannotator/tests/test_wrapper.py sha256=XPUJIBx6Cn8f0Zpk0MoTA8fJjckJpb6Uuy--rkC6ndQ 19570
skactiveml/pool/tests/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
skactiveml/pool/tests/test_batch_bald.py sha256=pWUcMQFtx534jaAA9pX_ZN3plAefHxfYceIPsT4Wnig 10158
skactiveml/pool/tests/test_cost_embedding_al.py sha256=n-sM-9sjYlCvMQ5vaWZxYYh_qnHs29Ei_JOyjCQuYVo 5801
skactiveml/pool/tests/test_discriminative_al.py sha256=zOxow96jGXwr-_E5TH802uZ3aPTqgNOIXeRiJ1O1ImA 4540
skactiveml/pool/tests/test_epistemic_uncertainty_sampling.py sha256=6lBnuWk3Dhu49DEQv0uEJ-y2I8p0FSuhAJph4aRsIRc 9461
skactiveml/pool/tests/test_expected_error_reduction.py sha256=OzDczGrhnFxaZ6c1V03vBljmIwjlU0phezUNvtR3vAc 28107
skactiveml/pool/tests/test_expected_model_change.py sha256=ohGiEbQcFeR1x7u7YHxyZjVValtK0GnSQhj_y0UWYTU 3140
skactiveml/pool/tests/test_expected_model_output_change.py sha256=hcd1XyAnO_o9_uI9NRPcvxvtTYD5aSd3VymbT-5dsT0 3409
skactiveml/pool/tests/test_expected_model_variance.py sha256=kem4TbI7v7CpOv9lZz6hxnNurLklMWtiiCipr8QokeI 2767
skactiveml/pool/tests/test_four_ds.py sha256=qbmgSg5pGkjenHY3xGywJWFUNR1NvQGRDBvHDcIG5Z8 2872
skactiveml/pool/tests/test_greedy_sampling.py sha256=KO7szRhb4jfCDRW1JlwhSqHZV3ZxRML-ID9q-gEv1Qw 5140
skactiveml/pool/tests/test_information_gain_maximization.py sha256=bF7fDVTtFK6tlm8TbCn9-p8grriG60GFZKM-Qk7IDAc 3205
skactiveml/pool/tests/test_probabilistic_al.py sha256=04x3uvmVriAQN04QUS8Dp431Jckky9fuQfoRPkjnxn4 5843
skactiveml/pool/tests/test_query_by_committee.py sha256=_6V2iwQQgJ076GeMKaAUFPFWv-YulC4sD6Gvup06C58 10586
skactiveml/pool/tests/test_quire.py sha256=q2CTfGC31RNMy1Y6ELlf5m_RYidsvSMeI4p1_lbtZvI 5267
skactiveml/pool/tests/test_random_sampling.py sha256=kxOr2GDgmweY9qbUYsPv7AcMuTYSvmv0XR-1nLv1dI8 1375
skactiveml/pool/tests/test_uncertainty_sampling.py sha256=CNLV1SLGtjaeLk-C7dmy8X_Vlqj8PAiiK-ful-ttbzk 9748
skactiveml/pool/tests/test_utils.py sha256=oT7N-yAgFti2VnRzgfNfbslweGstyFssWi0FH-kRCuE 33919
skactiveml/regressor/__init__.py sha256=hgp0saG76RfFFoevEprsHBgJmyQN9VhkRblzejHaih0 383
skactiveml/regressor/_nic_kernel_regressor.py sha256=S5xF-_KOM1SAeOOCUHtT_ydw-2liUE5h9jC4l-FOQis 7709
skactiveml/regressor/_wrapper.py sha256=hK7skVz1K8hkSl9WQKUgV1x2s-MJ5eE9K4GeEm7QNf0 10932
skactiveml/regressor/tests/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
skactiveml/regressor/tests/test_nic_kernel_regressor.py sha256=0mCt1hHrj0iUh_i35wE9XAWBLKaGF0imDvC7o2Gl1Pw 4646
skactiveml/regressor/tests/test_wrapper.py sha256=41dWLDMVt7o2MKPXEhNw3nH6MBfvoqFmUIdoXbH3mhA 6316
skactiveml/stream/__init__.py sha256=KRHAYQa7JbggFF1YMB_lOEifAeS6Rsck2YC0plzLkB0 1044
skactiveml/stream/_density_uncertainty.py sha256=zm_8EZhtfOjsNhH5emwWBD0IlR_uviHRV7SQAr8hETc 55730
skactiveml/stream/_stream_baselines.py sha256=fLVrAwfAARotEeCOP9aIVw7G2S3GduLlXMPmtv6RRsc 13822
skactiveml/stream/_stream_probabilistic_al.py sha256=ghXnajNtPBVRwqxhBjD_SuWa70vfHA9gOHzg13eXlZ8 16529
skactiveml/stream/_uncertainty_zliobaite.py sha256=X7LXflncT8ceKiMxvgKo7GYpRpBp3QKVLUbEKXoZEhc 20130
skactiveml/stream/budgetmanager/__init__.py sha256=FVU6DnA5o93ctqMFNvGFvPVbRgmLAvghGCh3vdleilA 882
skactiveml/stream/budgetmanager/_balanced_incremental_quantile_filter.py sha256=M5SBChVj81fqccCPfm29Qnlkw4t4tob3fFFdW7akJsw 5479
skactiveml/stream/budgetmanager/_estimated_budget_zliobaite.py sha256=qlSoiFsYmT2guzj5F-r2wnoM4os-ZOPmM3nw-soFBdQ 33120
skactiveml/stream/budgetmanager/_threshold_budget.py sha256=oX52EV_EK6_Vqg8Td--wQTJ2fNfkbxOwfHa5SotKjrQ 6928
skactiveml/stream/budgetmanager/tests/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
skactiveml/stream/budgetmanager/tests/test_balanced_incremental_quantile_filter.py sha256=tSsJjN_8GTVsUkP45z1Dza2NowmGculvHe4K1yq9nHA 3534
skactiveml/stream/budgetmanager/tests/test_budget_manager.py sha256=NQkjebFXabumdBQFC1MNxzIN26vtsFFyD0NKwhWF1XQ 4843
skactiveml/stream/budgetmanager/tests/test_estimated_budget_zliobaite.py sha256=-d_FTuOnPwXCmVKLKmhzEC95xmtxiuYmdPE7TKHmRI4 8470
skactiveml/stream/budgetmanager/tests/test_threshold_budget.py sha256=Oit6PZD6bIkQTKvQWvG0JirCDbjWfzJT6HpuPCYgz2c 3579
skactiveml/stream/tests/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
skactiveml/stream/tests/test_density_uncertainty.py sha256=8UM45tyzcgTb8c65_m4WCyEvCRZF1l-Lixxtg8CdfwE 21465
skactiveml/stream/tests/test_stream.py sha256=PN3GFGgeRBAORlRerj5Qdr7INERaKV3tk9900dE8hoU 9255
skactiveml/stream/tests/test_stream_baselines.py sha256=zmyCnmoIs63Jg9_0f651jFFgWdrTktG1dwKBItsLfsA 3296
skactiveml/stream/tests/test_stream_probabilistic_al.py sha256=cajs3D4OF7KZbZybOtTYHrKAxJ6cRM6HQtc4ZPnwVjo 10832
skactiveml/stream/tests/test_uncertainty_zliobaite.py sha256=_WHE-k09E9nkfrfyTzu1XOB0NI2jqgqkM3ll27TKUiw 8168
skactiveml/tests/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
skactiveml/tests/template_query_strategy.py sha256=moA_Rb5Fyuxy1G_FU3CzCNzqTSgOXRstCzvYA35XIiw 26892
skactiveml/tests/test_base.py sha256=UMQ4j6fSb9d-j1wmS6T8E-QhhwR8K1uQcS_Ay5fD-d4 9292
skactiveml/tests/test_examples.py sha256=6KJA_5zfmuQF3J3OPiC_mf3dc2dGvGZ5QZ3cHwkvWnU 3321
skactiveml/utils/__init__.py sha256=owv9fbh1GBTfLLfhlZcfUFIsYzVq2ZGDqgHyNcLYTX4 1408
skactiveml/utils/_aggregation.py sha256=wZZCgHSDJcuo6ymHxks1lTXuRSxMXUIglEU3rCUWFfA 4434
skactiveml/utils/_functions.py sha256=fm3UWu6hiX2tlr4I-TeHnhFMNbvgi4Ei4UNHiHr8MNE 3072
skactiveml/utils/_label.py sha256=UVidvFtB7_ogbPfnN6tCgtBVBPUvNU2XSpep7mH-6BM 6763
skactiveml/utils/_label_encoder.py sha256=U5lsaGIzu-C1YLNC4ZbIKzFQchWlIGH5MvPj3u4oiqo 4080
skactiveml/utils/_multi_annot.py sha256=mRgr9O_xBx53HqjiWpW46J6QKFTVDwzLDxwRomASA0o 4414
skactiveml/utils/_selection.py sha256=JMsaqgiKISOvhBZ6T8tijDXm4rFbxZJdFe9Pym_8qCw 8157
skactiveml/utils/_validation.py sha256=AAXh8Vl6AZYheBWWkDmAEFw3Aj2vQrnSjeXwGU8cML4 27965
skactiveml/utils/tests/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
skactiveml/utils/tests/test_aggregation.py sha256=2Yxcfm_B0Viip1lJ6oZJQYJrvbkyD7uLMx3hUqT56t0 2169
skactiveml/utils/tests/test_functions.py sha256=WEjENZTjKY2s70ykw88kSwrNPGjSKXCkWPvocB9CcAA 3131
skactiveml/utils/tests/test_label.py sha256=hFDLvpTVJDStOnnv1BdSs8u_Zv99es3N4rHr1QEGZyw 6394
skactiveml/utils/tests/test_label_encoder.py sha256=q4G2euUjZ__qT25hmxdGfooCFjDphgK80mo1yiM-2k4 2716
skactiveml/utils/tests/test_multi_annot.py sha256=Ti0tkVo5i82rTLJMorh-6nklNAYul5cebubTcEHprZg 2014
skactiveml/utils/tests/test_selection.py sha256=7G00GGTVuXMAx4KrJhK96PsEY-VTf0cSvL-LMSBzSDU 5456
skactiveml/utils/tests/test_validation.py sha256=zhAaNSbJ6Ek-XwL7_ictGQccWs4Xl4S61I1Du2KG6dc 12577
skactiveml/visualization/__init__.py sha256=eoDEghmXHSWba2srBIg_rCaX3cqi8jqQuPHYJjDXp70 536
skactiveml/visualization/_feature_space.py sha256=d708dfVm_BazyZ4QTZXWiTYqZtGpif1fTlUncrSh0rA 26367
skactiveml/visualization/_misc.py sha256=Nwff7NxkR1UINmDZSDF-5bqRe_vSwyDQExYTXGZona4 2195
skactiveml/visualization/tests/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
skactiveml/visualization/tests/test_feature_space.py sha256=fOKH3DFtAqNnAGWyoTur2WhOIbWra3RBjl-SWT3jass 29417
skactiveml/visualization/tests/test_misc.py sha256=RQWyOhaIZQJyu-0fstA7fjnPDZxpHh0K6FRlF4R0Mss 421
scikit_activeml-0.4.1.dist-info/LICENSE.txt sha256=RHijw1z14qF3jZp5_JMsIRXNNecok1vqk6cXx7Eo0uw 1530
scikit_activeml-0.4.1.dist-info/METADATA sha256=iLE3bfXqjlGOQ-qLkOYq-znE00AWXbqyliq2Kl2KKzI 10014
scikit_activeml-0.4.1.dist-info/WHEEL sha256=pkctZYzUS4AYVn6dJ-7367OJZivF2e8RA9b_ZBjif18 92
scikit_activeml-0.4.1.dist-info/top_level.txt sha256=7byIW8hN28HPE6U4QMos-atR4-j592cQyWxGjEBdEVA 11
scikit_activeml-0.4.1.dist-info/RECORD

top_level.txt

skactiveml