Wheelodex » Projects » ylearn » ylearn-0.2.0-cp36-cp36m-macosx_10_14_x86_64.whl

ylearn

View on PyPI — Reverse Dependencies (0)

0.2.0 ylearn-0.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
ylearn-0.2.0-cp39-cp39-win_amd64.whl
ylearn-0.2.0-cp39-cp39-macosx_11_0_x86_64.whl
ylearn-0.2.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
ylearn-0.2.0-cp38-cp38-win_amd64.whl
ylearn-0.2.0-cp38-cp38-macosx_10_15_x86_64.whl
ylearn-0.2.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
ylearn-0.2.0-cp37-cp37m-win_amd64.whl
ylearn-0.2.0-cp37-cp37m-macosx_10_15_x86_64.whl
ylearn-0.2.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
ylearn-0.2.0-cp36-cp36m-macosx_10_14_x86_64.whl
ylearn-0.2.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
ylearn-0.2.0-cp311-cp311-win_amd64.whl
ylearn-0.2.0-cp311-cp311-macosx_10_9_universal2.whl
ylearn-0.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
ylearn-0.2.0-cp310-cp310-win_amd64.whl
ylearn-0.2.0-cp310-cp310-macosx_11_0_x86_64.whl

Wheel Details

Project: ylearn
Version: 0.2.0
Filename: ylearn-0.2.0-cp36-cp36m-macosx_10_14_x86_64.whl
Download: [link]
Size: 2892254
MD5: 6f07cf73b9932d78f69ff8b380b3c91f
SHA256: 4942731194741a0928379ccc085bc62e93bf788d822f32bc13f2cf1638042dc4
Uploaded: 2023-01-04 09:34:51 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: ylearn
Version: 0.2.0
Summary: A python package for causal inference
Author: DataCanvas Community
Author-Email: yangjian[at]zetyun.com
Home-Page: https://github.com/DataCanvasIO/YLearn
License: Apache License 2.0
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Software Development
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.6.*
Requires-Dist: numpy (>=1.16.5)
Requires-Dist: pandas (>=0.25.3)
Requires-Dist: scikit-learn (>=0.22.1)
Requires-Dist: scipy
Requires-Dist: networkx
Requires-Dist: ipython
Requires-Dist: torch
Requires-Dist: joblib
Requires-Dist: pydot
Requires-Dist: tqdm
Requires-Dist: ipywidgets; extra == "all"
Requires-Dist: jupyterlab; extra == "all"
Requires-Dist: jupyterlab-widgets; extra == "all"
Requires-Dist: matplotlib; extra == "all"
Requires-Dist: shap; extra == "all"
Requires-Dist: tqdm; extra == "all"
Requires-Dist: jupyterlab; extra == "notebook"
Requires-Dist: ipywidgets; extra == "notebook"
Requires-Dist: jupyterlab-widgets; extra == "notebook"
Requires-Dist: matplotlib; extra == "notebook"
Requires-Dist: tqdm; extra == "notebook"
Requires-Dist: shap; extra == "notebook"
Provides-Extra: all
Provides-Extra: notebook
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 16024 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.37.1)
Root-Is-Purelib: false
Tag: cp36-cp36m-macosx_10_14_x86_64

RECORD

Path Digest Size
ylearn/__init__.py sha256=rb9KwFQISm6EU-mUBgRDZvT5m08Wld29z_N12bZckA0 55
ylearn/_version.py sha256=FVHPBGkfhbQDi_z3v0PiKJrXXqXOx0vGW_1VaqNJi7U 22
ylearn/api/__init__.py sha256=0jK6FFeD55Z7bY5t_aptdIu4E-2gRYto3P-TZhcEnpI 83
ylearn/api/_identifier.py sha256=Y2WS9GaRLwbJbCpTxQ0EH-x1qgJ_EP1Fev82bLkeTIY 11351
ylearn/api/_why.py sha256=Ugkd-iKJ60QCEsIMLYLFZySX2lL8-QFJaGf_Zih1MiM 60468
ylearn/api/_wrapper.py sha256=oa4UxevLiBDgc5a079FDSLbMBsNCo0L0EJRcYpEPbVo 731
ylearn/api/smoke.py sha256=XSWZhUtgaWhty9s6zjS9IRCWvZWcH74SGHRkyy8ENbc 1009
ylearn/api/utils.py sha256=ftipiCnoiOmM3B8a_pIyD0mU6uHC5Ne2t1J-vDf-aro 6142
ylearn/causal_discovery/__init__.py sha256=--3ZxxOh18nc65pSZ13O1t6dDUo5iUSKtJGqiEbZNxw 831
ylearn/causal_discovery/_base.py sha256=jE3wcLlx225eRUhEoOhzCnduc2u9hkUEyFQV0AI3Tt8 3538
ylearn/causal_discovery/_discovery.py sha256=ZFL0RD_0D5STa3IXHh3-HZiSQdWiGsMQwYbS4LNShAI 8447
ylearn/causal_discovery/_proxy_gcastle.py sha256=USa20SxfnV9UiOJWVo4oCg56jmQdP9gyNv03xG0MC5w 2029
ylearn/causal_discovery/_proxy_pgm.py sha256=3PTiKqFEn8cW_GxDD6REWeP-mH5PaWKuAw7m92Uzxts 2625
ylearn/causal_discovery/dag.py sha256=Ps1taRXVkwN_-nUrntz_tSOQsfiIjibk42Q66tc8CPE 2853
ylearn/causal_discovery/toy.py sha256=03rG2oHYe_FXhNkzOqtGbCV4BiWNZO4RyaV1Nz_qtMs 4523
ylearn/causal_model/__init__.py sha256=wv6ozhHw2zD4HjRS0ejOXbNJ8JDSdaekR7kdebVYRMk 241
ylearn/causal_model/graph.py sha256=KOfvLAM4_j6WtY5pA8kXZv0y2tA_n4gektm1BunUYhA 19161
ylearn/causal_model/model.py sha256=O641kemBIYJb85RvLQ5HJKLUajIVA9Q2bEZTRiCT5kQ 39002
ylearn/causal_model/prob.py sha256=sy4goM9tgCHFzRxiXQH6S5HUWB8GvSGkRLt2y4XPum8 3050
ylearn/causal_model/scm.py sha256=YrRP4IvYZrclOFH4QLlaE3kiaZEDEJgaAqmtwtrsN6c 202
ylearn/causal_model/utils.py sha256=jzL9ZZuJaM13YQmeXFgFnWwFNLyRzHgxX5wy3KNZCII 3326
ylearn/causal_model/other_identification/__init__.py sha256=20xBY8n_58fDbPdlQLOblUiFHon5zXWewtfSJWOGTzU 91
ylearn/causal_model/other_identification/do_operator.py sha256=zd62m38RgDYCS5M6W97-xbaHjSI42rBiqBzJ0HMB2v0 1164
ylearn/causal_model/other_identification/gradient_based.py sha256=DGtQhyQeLSTVdc3NIej6HOkXWXVAFAO_pVxQ_SuJZys 65
ylearn/causal_model/other_identification/minimal_adjust_set.py sha256=qz3wOeti1WItvhhMs9Qk-F4IOl5zpIVRPetUaZNdaaI 65
ylearn/effect_interpreter/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ylearn/effect_interpreter/_export.py sha256=LnF6TWH3EX-lZtWQAmuhU-1wam7mbDfQGD6A9INsM9E 19603
ylearn/effect_interpreter/ce_interpreter.py sha256=iEgbRd3S_emmSDR4amSJlebFuH_GbcflGQFdG9MAJfc 14042
ylearn/effect_interpreter/policy_interpreter.py sha256=oG9OwQAQyBp4RKjqM3b6Ok5Sik_dmEsF-UxdmrvbO_M 14554
ylearn/estimator_model/__init__.py sha256=ZexkpKIO9_J_CG7lMgqF13ySaljXVIYkGRxIjN1MfqY 1595
ylearn/estimator_model/_factory.py sha256=HgDNSkAx-t5cXkJQ5wOjAkUfRcdWKGwNuNv0YnBfR-Q 15678
ylearn/estimator_model/_nn.py sha256=lFnkM202Y5veWr3YNvi7rLHVwH50BI-e-7vujmSmpgY 9259
ylearn/estimator_model/_permuted.py sha256=BJX_WA_U4-ftK1v_uzotpVGOsTEJywdrFwarUicU3fE 12040
ylearn/estimator_model/approximation_bound.py sha256=qwCQRG2YjLoqG3AiGNg594Mw72FxUnBFx6DmNxpz7AE 12806
ylearn/estimator_model/base_models.py sha256=2k7fOke-hb76khdatE3M_sh0IMBGNJdcavmk1qDYMYY 12514
ylearn/estimator_model/causal_forest.py sha256=9fnJhEdjSo-3gbtpUm_OZ86LZi-o4vT5MoLwQYUX2zc 10030
ylearn/estimator_model/causal_tree.py sha256=M9RNp5jPTHB4_O-mQVbZPx8isJa2c2ZGwQF_lMgQAJg 45383
ylearn/estimator_model/deepiv.py sha256=VTELeOuTO7uTfw4p0Pomi2m3KHWeCZKXl-gHTaLeTKM 31254
ylearn/estimator_model/double_ml.py sha256=o7qiM0Jn9wamC1fdHWL24RlPcjVpce1CcDgI8uyasSM 27977
ylearn/estimator_model/doubly_robust.py sha256=6dIHCc47JG2IbMk__X95Kd2o8VpsJ3s6nbw_Eac6CsQ 25965
ylearn/estimator_model/effect_score.py sha256=_3opD_H37Ey-uzxxebKZ-u06sEZuuxti6pg_2-oddDA 15350
ylearn/estimator_model/ensemble.py sha256=AFuOnqSWU-OkGLRtkD3mXZpfrNWxCnL_DQdjjmDNGVk 91
ylearn/estimator_model/iv.py sha256=DyNJTFTmiIEboAZ0708DIGSCKjnx6VB3W-lRZ7KqNfY 15922
ylearn/estimator_model/meta_learner.py sha256=CSiJqik3hAhkf-4xIk78MJWXzr2UbvfNS-S3bydPAlw 51877
ylearn/estimator_model/propensity_score.py sha256=ncBajIEIW_F-2wbbY8oQQ3LF-nKNBu1B9G5zmqH2nKA 5817
ylearn/estimator_model/utils.py sha256=0dlovHk-QSS1P3-OSBQdJBpNDG4sL3t76Es7AyqsrgY 12106
ylearn/estimator_model/_generalized_forest/__init__.py sha256=4flHaaMphbl3nNkAa6cMueoRedMX1y1n7SNBDsJSQN0 82
ylearn/estimator_model/_generalized_forest/_base_forest.py sha256=HWC9ppUPZyLHryAPf0YD36cMpIYE_Bt1H3RBL0fQZZ4 23494
ylearn/estimator_model/_generalized_forest/_grf.py sha256=qM1c871T8dsy7BOQ5rbLwQ5_-3uoYktwMVmKUToTM6A 7790
ylearn/estimator_model/_generalized_forest/tree/__init__.py sha256=--lceDXpNdR2gVKZmvVtpj3g_6ZTdhqCfq1yLjsDaxM 158
ylearn/estimator_model/_generalized_forest/tree/_criterion.cpp sha256=EIX9EhBWvMVuRSh-x-GB4HDGS7MQhQqyA6llrEoTzzQ 1099220
ylearn/estimator_model/_generalized_forest/tree/_criterion.cpython-36m-darwin.so sha256=AjzmxajUY6zPaq0sR3DgzKEWQ0fFTeDt7VNTlunvCT8 241392
ylearn/estimator_model/_generalized_forest/tree/_grf_tree.py sha256=82SUptsJbNadMR6w5iZTImQPflxpJUGSS4PkEcB1rJw 17455
ylearn/estimator_model/_generalized_forest/tree/_splitter.cpp sha256=IreuFtWoa1IUyv-bfJDI8RRVWI84a4I34W9jk2zrFV8 961107
ylearn/estimator_model/_generalized_forest/tree/_splitter.cpython-36m-darwin.so sha256=YSZZ8rEOERKx-hhqIgVn6kPWiQqgBU7RI9X42YlUiCA 181296
ylearn/estimator_model/_generalized_forest/tree/_tree.cpp sha256=rducWLfSDRlQr3qQsmcuzX4dqTaCBpqMiCyJY4ySRjw 1062917
ylearn/estimator_model/_generalized_forest/tree/_tree.cpython-36m-darwin.so sha256=rvCl4FoDjVDZbvtXrtnAkam9j6b6VKe3dXPWIIlkeSk 224544
ylearn/estimator_model/_generalized_forest/tree/_util.cpp sha256=hNtvY2zG0m9myR32aSliPDZQNbsFc08n1fiYRnmgsg8 994288
ylearn/estimator_model/_generalized_forest/tree/_util.cpython-36m-darwin.so sha256=qCTuldJlBioqHBec77egnQeOenayuR7BEmxVlLpQofY 815048
ylearn/estimator_model/_generalized_forest/tree/_util_lib.cpp sha256=8xtL5iVBNhUa6KYaWzWqducEXdSaSdiUNBOjGDJbT5s 7657
ylearn/estimator_model/_naive_forest/__init__.py sha256=Nphyh2lm9eUg5VVFzigTeZhkfAJB6lu7iTEZ2c1j4KA 59
ylearn/estimator_model/_naive_forest/_grf.py sha256=sBECS19wsmES6v8lZz49t7PY-nmkQoZPtBaHVOhdqYQ 4113
ylearn/estimator_model/_naive_forest/_grf_tree.py sha256=0ML-2mzoWqkbPI40BUsN6_PiR1iEQXcLr_-K6FpNw2g 10222
ylearn/estimator_model/_naive_forest/causal_forest.py sha256=70XmJyY-3o05a98NvdVraGdkGbwtdimR0MGAkoFY9IM 1088
ylearn/estimator_model/_naive_forest/utils.py sha256=IakgdRfKJaAMr5uk9PTrY95NL91QF1WZrU5n7ZMdL2c 473
ylearn/estimator_model/_tree/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ylearn/estimator_model/_tree/tree_criterion.cpp sha256=Tyd8Q0Vfr-9WxaXoiEQiZyhCgh4g3TROunIFHROzo_4 1087863
ylearn/estimator_model/_tree/tree_criterion.cpython-36m-darwin.so sha256=SPVWUjzzhZLH1hvb9TRZUb8QH0ZtxmcKpDG_poUNAOY 206424
ylearn/estimator_model/_tree/tree_criterion_lib.cpp sha256=5btPFB8ZVIlAMauPLcPcMxrSWLIuXmlncMZU52m9d5s 1624
ylearn/exp_dataset/__init__.py sha256=ISRxJJtN3Y7fN8D6ofJUQg4His9ZaYPP08hCrnkuaAw 22
ylearn/exp_dataset/exp_data.py sha256=vk9C0xUIFsIB-_Bh_p4k7o8YXUwFRba_1zPpF5m9rAY 12107
ylearn/exp_dataset/gen.py sha256=B_NlmFAt6XIh0j0nnPuMDZ9JCcGijK9wudHZy1zrn4c 10283
ylearn/policy/__init__.py sha256=AbpHGcgLb-kRsJGnwFEktk7uzpZOCcBY74-YBdrKVGs 1
ylearn/policy/policy_model.py sha256=RlAOyDVVBezVykc9XLFoM2NuRlW0ALbopt4UH3lfj6A 27700
ylearn/policy/_tree/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ylearn/policy/_tree/tree_criterion.cpp sha256=Yl3gpHnaDr9wRaLq9c9zbCqQJhzGUriPREaYF4jvTKE 1006401
ylearn/policy/_tree/tree_criterion.cpython-36m-darwin.so sha256=GEus7BmAu1FAfdCITWxMFuFlyQ-yQQvAlGN_z1rQVms 183776
ylearn/sklearn_ex/__init__.py sha256=E7vWNHr00BsH7OLiQKZo2Gmm3g9_6pAvfA_9gczGBmM 237
ylearn/sklearn_ex/_data_cleaner.py sha256=BaZbn63u_PzBzEtTHO-ecKw9hD5hl3D7zCJRnHdERr8 14566
ylearn/sklearn_ex/_dataframe_mapper.py sha256=1BKabnIqbHM_rq-tLXgo18UZYNdHi00Ca6LCSaOVRGg 18622
ylearn/sklearn_ex/_transformer.py sha256=Hzt9TgBoevrag1cFP3h7RkFpJ5D53vuYfhpf7B2FNT4 13791
ylearn/sklearn_ex/cloned/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ylearn/sklearn_ex/cloned/scipy/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ylearn/sklearn_ex/cloned/scipy/_complexstuff.h sha256=R_EGUCbH17Qm7Hy0TFi7gIb_WF7LrtWsInfncpTd2f8 97
ylearn/sklearn_ex/cloned/tree/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ylearn/sklearn_ex/cloned/tree/_criterion.cpp sha256=w9WAwwguCW2bQOIxEnUtGteYb02OToHtIkjiMSdObh8 1428461
ylearn/sklearn_ex/cloned/tree/_criterion.cpython-36m-darwin.so sha256=UhLdy78TnzmhISqIHFY66f5UQg12A-9n45uOUY1FaCQ 297352
ylearn/sklearn_ex/cloned/tree/_splitter.cpp sha256=R6bcFGJUQwT73_5zewXzaeietNiDg7e9lCpWbNZJvLE 1506305
ylearn/sklearn_ex/cloned/tree/_splitter.cpython-36m-darwin.so sha256=k-cDEF7GqdgemcIv3iM6SNevb2aaaTCN18bFH2N0xTE 258720
ylearn/sklearn_ex/cloned/tree/_tree.cpp sha256=HU9METd2tqkaGtJBQzFhA8SnKcCPOz28N9HByaS3njs 2142557
ylearn/sklearn_ex/cloned/tree/_tree.cpython-36m-darwin.so sha256=WbE_ThIknXNAW9yvHDCDtj90Y9oglfehQfYP3FtfgJ4 631424
ylearn/sklearn_ex/cloned/tree/_utils.cpp sha256=BpMZQxlcsiwGZPQwbREFp0Ly0viek_SNI4I4ATBcKys 1204747
ylearn/sklearn_ex/cloned/tree/_utils.cpython-36m-darwin.so sha256=iZI7r-O_N8MrdM1wenjtcDbjIpf-0ZkOyp5LEQNteLc 228496
ylearn/sklearn_ex/cloned/utils/__init__.py sha256=EmafVpX1ZvyJCqEjzkpNF8CaWzQAKVMCgY5eeHANdko 42
ylearn/sklearn_ex/cloned/utils/_random.cpp sha256=FnYma7xyd7ZXt9s4PlRa5FLvmHYBW0eMClsxdxgZLPw 494629
ylearn/sklearn_ex/cloned/utils/_random.cpython-36m-darwin.so sha256=SPOk2twQ_wK-HpIEBVMwisbr6rFylOJtLatJ4Xd8XNU 104696
ylearn/sklearn_ex/cloned/utils/validation.py sha256=KTeH5UN8mG6EFXdp97-ykc8D3BVq2SuvYwCsWTmxY-c 1245
ylearn/stats_inference/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ylearn/uplift/__init__.py sha256=crHPd3TimDkxbTpRuc9vjAa5JlEcdElBw9MA53evrn4 215
ylearn/uplift/_metric.py sha256=aPP-mvHGIu5duR1qbDtIGTwdwO2FaktHdRRxoXA2ejA 10120
ylearn/uplift/_model.py sha256=sUHXT41lpIws8FqXeYJbkCq9InvOcAGhpZn8jErcO0s 3774
ylearn/uplift/_plot.py sha256=ppJcDZtlDhNtmnmh0XwHmTj5uOhn-C1DZp1YdjNYDWs 2268
ylearn/utils/__init__.py sha256=94poCeZOzGOTH0UVlQ-_HxiLnV0oxVKBd6gHzRhNwfk 588
ylearn/utils/_common.py sha256=oTOA0IKGQAwwAFLxDLZh4knSKbMg-HlNiMIOgGX-TRg 7667
ylearn/utils/logging.py sha256=IxXO5ffEI2tCic8nqsRAS6MOQvhgtKmP7Zz0nPQKUqU 10237
ylearn-0.2.0.dist-info/LICENSE sha256=zf5ayZAcP5pT_cJ_HpmHYNsxblbXVoLYSZfPHqKiSis 11367
ylearn-0.2.0.dist-info/METADATA sha256=9RdQSry0EEgYHE9kHQAvsbpJL4LPtOzJ89Z7mmR3UOY 17990
ylearn-0.2.0.dist-info/WHEEL sha256=L2ysQRpzaZ_dwmB2jbkklv0iP3gp4u98o7Dm87lh-Xk 111
ylearn-0.2.0.dist-info/top_level.txt sha256=b4MbQyB2LFjCR3ckEKagHbsUuzn-Jfs5gXKqn82UOxI 7
ylearn-0.2.0.dist-info/RECORD — —

top_level.txt

ylearn