Wheelodex » Projects » LUBEAT

LUBEAT

View on PyPI — Reverse Dependencies (0)

0.13.1 LUBEAT-0.13.1-cp38-cp38-macosx_10_9_x86_64.whl

Wheel Details

Project: LUBEAT
Version: 0.13.1
Filename: LUBEAT-0.13.1-cp38-cp38-macosx_10_9_x86_64.whl
Download: [link]
Size: 1016454
MD5: 07f76a987e8e0d4c7cc274b6151de387
SHA256: 8e0251a55820e40bddca87c2bf871a6508e69dca0a080285a68ffcf1dd40fc57
Uploaded: 2022-09-13 04:56:00 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: LUBEAT
Version: 0.13.1
Summary: This package contains several methods for calculating Conditional Average Treatment Effects
Author: Microsoft Corporation
Home-Page: https://github.com/Microsoft/EconML
Project-Url: Bug Tracker, https://github.com/Microsoft/EconML/Issues
Project-Url: Source Code, https://github.com/Microsoft/EconML
Project-Url: Documentation, https://econml.azurewebsites.net/
License: MIT
Keywords: treatment-effect
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: License :: OSI Approved :: MIT License
Classifier: Operating System :: MacOS
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX :: Linux
Requires-Dist: numpy
Requires-Dist: scipy (>1.4.0)
Requires-Dist: scikit-learn (<1.2,>0.22.0)
Requires-Dist: sparse
Requires-Dist: joblib (>=0.13.0)
Requires-Dist: statsmodels (>=0.10)
Requires-Dist: pandas
Requires-Dist: shap (<0.41.0,>=0.38.1)
Requires-Dist: dowhy (<0.8)
Requires-Dist: lightgbm
Requires-Dist: azure-cli; extra == "all"
Requires-Dist: keras (<2.4); extra == "all"
Requires-Dist: tensorflow (<2.3,>1.10); extra == "all"
Requires-Dist: protobuf (<4); extra == "all"
Requires-Dist: matplotlib; extra == "all"
Requires-Dist: azure-cli; extra == "automl"
Requires-Dist: graphviz; extra == "plt"
Requires-Dist: matplotlib; extra == "plt"
Requires-Dist: protobuf (<4); extra == "tf"
Requires-Dist: keras (<2.4); python_version < "3.9" and extra == "tf"
Requires-Dist: tensorflow (<2.3,>1.10); python_version < "3.9" and extra == "tf"
Provides-Extra: all
Provides-Extra: automl
Provides-Extra: plt
Provides-Extra: tf
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 32806 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.37.1)
Root-Is-Purelib: false
Tag: cp38-cp38-macosx_10_9_x86_64

RECORD

Path Digest Size
econml/__init__.py sha256=HJ9m8FMtgRJ8gf-tlTNhHB3VO_HVERhirEh0Q44oago 729
econml/_cate_estimator.py sha256=lcwfI8nCZONzw6_9s0jyFR-k9T4uUsMQpLDWeCeL-zw 58267
econml/_ortho_learner.py sha256=xuQRWqngwRtakm6O3linlVmJyTviOvWQFc0jY5noXFA 43726
econml/_shap.py sha256=dPL9zEUxRKCcpmq7akWPvm73KamoGqYWXnA7USj3ij4 20804
econml/_tree_exporter.py sha256=khsk_lVhoHq9imJmMwWK_EbwJrPZe8TdY8OCghMo1cs 33048
econml/_version.py sha256=BslAbI77qPJMZZKyIqebSTkko1DLboRCl1wZpJunBVc 118
econml/bootstrap.py sha256=VER9wQTAig5sgpWU6ZyNqx6uujaGCa2EuIvmH6h6Lr4 1020
econml/causal_forest.py sha256=WhRPTsZwRgttUfWFSUrz4biR91_w3xHgqacYaYH8SvM 4379
econml/deepiv.py sha256=69o9Tm0R27yqG8lv0GarHbqlQoOBNpZ_tk9kZE8Be6k 587
econml/dowhy.py sha256=BzgAEURtpZ-8XPnozNwckNp0ITpyjgy6wxwJqVgh7Og 11441
econml/drlearner.py sha256=PiJMtehNd1nl6ZQWrsVmHf5UYD4sbdmGXK1WB1ryEKo 1068
econml/ortho_forest.py sha256=96DGzTPYU7gRkiLVPiNhut8AaRr7FmeMOEdUwjrenpg 1224
econml/ortho_iv.py sha256=nnu2tdWuZJZR15HDnrozNNlJ1Omt75ZlOr18ridpxb0 1601
econml/two_stage_least_squares.py sha256=zPsFpKzA8UJIFSg5x0r8vYEdzSoocoYYLk8idACQ35A 1028
econml/utilities.py sha256=OoB6cPuFfYDMN8g5umu76ocXhMLF73oDi0WAlp6Ikag 45220
econml/_ensemble/__init__.py sha256=BvZuuBQ5UCOAHdlPNjjY1JRY-l11V-mjapQPXr2H4mU 613
econml/_ensemble/_ensemble.py sha256=FdgBREo3K9kPMpR6JFoYNUO_RSQ7N2B4mqTgdazCW2E 6382
econml/_ensemble/_utilities.py sha256=eZ3t_rSslGffdHgF3SMgG70GirOdzERSYn1eGcDPuZA 4947
econml/automated_ml/__init__.py sha256=YuSPl4ZAeoGPUu0x_ro-NExatEbjLhY0u_47yVxW9LM 418
econml/automated_ml/_automated_ml.py sha256=ayi28XrZ6GP4HlDfRyCi6W3s9G6Y5mwkluMW48UOESc 15027
econml/cate_interpreter/__init__.py sha256=hnVtaFvq7iv65wIj-wFimFIL3kvc6UO9q8kBM2j3380 267
econml/cate_interpreter/_interpreters.py sha256=zk7PkHxyTKyKgg7Dyd1UYoUR8kIcyQfgGFBelIIGsOo 26047
econml/data/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
econml/data/dgps.py sha256=WoUQstUpwO4nZH9vewlD5f21FZFeDW3vVIo6m2M4Xw8 4158
econml/data/dynamic_panel_dgp.py sha256=WooQBYZ2EieKzzqz6ML8IBWmrqU6qzLLrZF-MEPJ3yU 19033
econml/data/ihdp/example.csv sha256=g7NWYb_W2oyCTc6LneEqxFxFCETpRJpOmYrAFaSgnxY 85525
econml/data/ihdp/example_full.csv sha256=EqCMveFsIRutLtPz9jvse9US1Y58FWGxUtFiS86sSz0 311324
econml/data/ihdp/sim.csv sha256=8A_HX0T2b4r8UmhpQ6Zfv2UVk721dWsKwUtNcMC4GjI 66191
econml/data/input_dynamicdgp/cov_new.jbl sha256=vinwIgnHn9aJiuPOj8FuFGn-ew4aWvlup4DFAjYhq_Q 63587
econml/data/input_dynamicdgp/gm_0.jbl sha256=_cAul0Tm8jrWZIMf33kHEJav6Tpu8xLui1HvQxw4n6k 1067
econml/data/input_dynamicdgp/gm_1.jbl sha256=dXuPR_MRJ5ExScxeCO7eOFFLLTs9w2VaTM8HwQzL9pk 1067
econml/data/input_dynamicdgp/gm_2.jbl sha256=L5O3jS3mqwNGxxjUdDPaLbLPSopEDMQjWA6cdvssB8c 1067
econml/data/input_dynamicdgp/gm_3.jbl sha256=HLqs_myheVeubpXLV0Ot7FvhZFE35qkZSh7Utc8Gphk 1067
econml/data/input_dynamicdgp/gm_4.jbl sha256=PgFWKXbZsNd14WI2dqzE-jVS_r__QJyqUHGYEVp225c 1067
econml/data/input_dynamicdgp/gm_5.jbl sha256=VnUu0PACoxBdDvDZbUmeuRuVYTJBMk9MKmTQihvwF3k 1067
econml/data/input_dynamicdgp/gm_6.jbl sha256=62PosHZLoOosO3pOQdqcfZMvWotJzC2W082DqWt1Rho 1067
econml/data/input_dynamicdgp/lognorm_neg_0.jbl sha256=yHwwKHifKcblPVJabcTC2hZMlOjRA3AxTyoQBuaw-vE 164
econml/data/input_dynamicdgp/lognorm_neg_1.jbl sha256=-sYuO6-asuR1UjTneb2hlxKxZ_CJXpRxzOJcu9gZrmY 164
econml/data/input_dynamicdgp/lognorm_neg_2.jbl sha256=GH0qX8xOEXuhjsVOTnGvP26vMLFkpZHOVeim4im2TJo 164
econml/data/input_dynamicdgp/lognorm_neg_3.jbl sha256=gIbYcDdhchX-ITvcFhMv_GpQyYHkcGHvksgU8qhaN88 164
econml/data/input_dynamicdgp/lognorm_neg_4.jbl sha256=X8BNVur-vOJOURJl2b6B6OtnqWZ8lrWTcCj_d2BBHog 164
econml/data/input_dynamicdgp/lognorm_neg_5.jbl sha256=F0LGdXj0zumV62-AGLOp-suyUfz4CS--0T9txCt5P-c 164
econml/data/input_dynamicdgp/lognorm_pos_0.jbl sha256=PtrDHfRADX0gIyyg9o__F_COdPCymcgT8YUvP_7Aybk 164
econml/data/input_dynamicdgp/lognorm_pos_1.jbl sha256=ems4kbHSnDDOkiOaGZI1f249x1cMpjXr2ov-IkDjyLE 164
econml/data/input_dynamicdgp/lognorm_pos_2.jbl sha256=kwMQ3V2QvEnQZyXQ-bSFfUOO-1RDcjvhBIryIT780Kg 164
econml/data/input_dynamicdgp/lognorm_pos_3.jbl sha256=AVAgGQnyyNfro_p5_LJbJ28b5dp_7yWELZkqCJtPyxg 164
econml/data/input_dynamicdgp/lognorm_pos_4.jbl sha256=a-3AeqbSmdFy8oV83mgb9hR5p0vc7LBiJtSo9bQenaY 164
econml/data/input_dynamicdgp/lognorm_pos_5.jbl sha256=yFpu-pIWJuw_b_qq6_hWm7I-u21xnfxZMYGBtAD9mHo 164
econml/data/input_dynamicdgp/lognorm_pos_6.jbl sha256=0TFrNpfGBbosP9UQR59mGVNXn0NUa7k-K12miK39lBE 164
econml/data/input_dynamicdgp/n_0.jbl sha256=5RHdp8uPGM0tekhy4ivG_1ZjDYXJcn1mx5g6IuYjZwo 139
econml/data/input_dynamicdgp/n_1.jbl sha256=gwGVfdkn6zHY0yeVZDoJL4y9bH7sRHbbOJDW-Yvb-5o 139
econml/data/input_dynamicdgp/n_2.jbl sha256=NuwaodKwkastcWY2RbtfV6QbiNzAI_K8Hg_jJLcLYPw 139
econml/data/input_dynamicdgp/n_3.jbl sha256=S_aW8peoVVWJDn-T7lWmhTb7vG-em-xMvwvXjOQYaw0 139
econml/data/input_dynamicdgp/n_4.jbl sha256=Pl-_zlSrZORJn2xASBcpiJ6zZSzL6WW1jiCyZWhYCtA 139
econml/data/input_dynamicdgp/n_5.jbl sha256=k96ctX77y-8r-Vhtue1tEsZ93zZY8AAWHDEC82ZwnRM 139
econml/data/input_dynamicdgp/n_6.jbl sha256=Eu9CGdbddMEGOheDGV4UZQ7ZBV4WwQ_R3V82zccs1rw 139
econml/dml/__init__.py sha256=fQ4Rolqdh72uK79R7ZSJ_EUuDiloPgJAHNwDm-QdC6E 2006
econml/dml/_rlearner.py sha256=1Cw0ksOPP3LgfyjBZfk3Kt10BG0Sii9zH9tdm907kug 20040
econml/dml/causal_forest.py sha256=bZm0PI3zwCl2zrq4BdJHGgNNVzoYvz86uy9aFiHjuWI 47186
econml/dml/dml.py sha256=-38aSR68SOSeRbrYZoHjPy9wQQL1fgt6FonDue5_qQM 67847
econml/dr/__init__.py sha256=ntCvq4ebK_ZIiEVo22R5C06M_ZkBCKzpbnh0pzihOmA 318
econml/dr/_drlearner.py sha256=dsgNYA91GE-8wEVn8SU24R5hXah9U2xnJLFUILHMzrE 70917
econml/dynamic/__init__.py sha256=nPTrD8ns3QjIDAb8Ul6DeCG-eNjLpIkfEouE33zYGIg 117
econml/dynamic/dml/__init__.py sha256=87VbkQMqR_9VcQ081voyrmVHOw5DRhqzXRpAPEYHZoU 621
econml/dynamic/dml/_dml.py sha256=PdSvMwIEdue2OtY6a1jXJemwIMzihDSdzlQfeMr_1dQ 36310
econml/grf/__init__.py sha256=4-Yq8Q0jVWm54sAFQhtySsSoBYXtPP69OWWeN6yBEIU 796
econml/grf/_base_grf.py sha256=evROSZGn9dInAtqg9MM3PJpRvxSHkSfBIKimxW92uEA 50146
econml/grf/_base_grftree.py sha256=84BEd_mC3uZBZUFFD98MclLA1jCEs3NKoJ8hXD8c_sw 23459
econml/grf/_criterion.cpython-38-darwin.so sha256=irl3gp2oXd_afoyEnw1QXZTehUQe-dxSMxZ9S6uBqj0 212248
econml/grf/_utils.cpython-38-darwin.so sha256=OHGDBIpKp82jv8BoV2PEfhCoD1o-fb-t2BtT_HbkIlo 192504
econml/grf/classes.py sha256=gvj0m9TteWpGUkbQ2WmWdTEnQ029GsD03WowKK0ygWM 53317
econml/inference/__init__.py sha256=-EyLmke38GCqQt0voqFdJ1rSWpX034MLAkJ8_SHWqbo 1020
econml/inference/_bootstrap.py sha256=8zSJIz-4IL4YlhvuLsvQLR-CNIoiRTlAbIbMp-SY7FQ 13726
econml/inference/_inference.py sha256=KobsLABF74RK-xHRswgWRZoQhPWqu51ZuFHC5jh37ks 72418
econml/iv/__init__.py sha256=AWnjDZls8i9LTX0-hYbD9RophqEcopVhS2vtTTl-Ze4 140
econml/iv/dml/__init__.py sha256=XaOFB_hyF7B4XAlrLPgyR7XZNFhpEmfHOj4sIa9c-xE 787
econml/iv/dml/_dml.py sha256=zbS_IUwl9xhCkdAmflrNFd4zG-O548Aojo1ika2Bimk 68580
econml/iv/dr/__init__.py sha256=W7YhUyRd_YlowMp31joMD-kiibWU4CNf840An-lyLH0 864
econml/iv/dr/_dr.py sha256=1XxFpTMUy2_7QyKe8hfq6ZgQ3Xzwi4pce0HAQ1Ku8jE 122462
econml/iv/nnet/__init__.py sha256=eQiSXm-6YnhL2Aswh8uX0pOKcCvh6EVy-vcHzu45wPc 151
econml/iv/nnet/_deepiv.py sha256=IpODazRrKJL675jDwLSLEVati5lSv1fQRz9ZCWmYAlE 18027
econml/iv/sieve/__init__.py sha256=HOoRQTvgmJuFC6Diodz1MpF0N27GAgwTL2NyN3RL_2Y 259
econml/iv/sieve/_tsls.py sha256=qU7lrGmM12iqH-9fshSRfgfipp0EKuopnNgdelqzRHc 14682
econml/metalearners/__init__.py sha256=9eNtqjRiRCcMiDYQ0Kw-gzBC_7IxxxMv9hz0BVW4p7w 295
econml/metalearners/_metalearners.py sha256=xgHgW2sI6GUEHAR7EBLWJrBZRMPNYa5wWmlhVgcigFk 20986
econml/orf/__init__.py sha256=Se2HOUzHH0LIArlEMJ9bqbLK99HUGeHBjteomoX-CFw 586
econml/orf/_causal_tree.py sha256=7yiCpWh0ULPi1jnXMBohoTJbDcXQiGr4y1VuhEsHOvI 12909
econml/orf/_ortho_forest.py sha256=hbSG9hxvqFHRStTcjvtpRC41KxgFqANo_q0MLgesNOw 62923
econml/policy/__init__.py sha256=bgN-k9aSmJ8Asi8QBy0t2qfOeDN10mkhdXVQHPjf4_A 313
econml/policy/_base.py sha256=mZ0Xtgv-bMs00wg3bkXzrgr2bOWbH9i4sNyaBDna2Us 383
econml/policy/_drlearner.py sha256=4QSTKMQxz2UqWq14ckuE3aTWgzQJ-GAJBl-YXzduBWs 51966
econml/policy/_forest/__init__.py sha256=jItVQ2Ci8Oe_IhZv71VX9gUbcGFI88XMB96sBOvVxHk 220
econml/policy/_forest/_criterion.cpython-38-darwin.so sha256=t-EkwpX0bCo2JsV0SB1WDQP0dgEwIZXJuu4va0LrSdE 168552
econml/policy/_forest/_forest.py sha256=6LnOR6Edyo23WLcdU1bGslJkErlRtkn3LxS0mjNx8X4 22592
econml/policy/_forest/_tree.py sha256=F8-qeiKlZM4y9L5Qbsa2f0LY9mczFP-HTQhK8-Cs6og 16011
econml/score/__init__.py sha256=6tZe7fe53h50orXBhuYbi0w0RFqBUIRXYJkp0Gt9iP8 355
econml/score/ensemble_cate.py sha256=Czaj4Yiy3Y2bYJnCRVlv0YByf73R42WyfgGZHxLjE-Q 3153
econml/score/rscorer.py sha256=c9sf_EsWFEzEY2afGNDUiHKTdCODeEr6rRzlbrVSb2Q 10233
econml/sklearn_extensions/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
econml/sklearn_extensions/ensemble.py sha256=6h2FPKB_k2doOsiMi4BqSUlxIephwP8xzuTECnQSPTs 8978
econml/sklearn_extensions/linear_model.py sha256=1hq3P1ZVsVGJdCK6wsbyxj20OkZ8H1l_g4QtYnZCPjY 87399
econml/sklearn_extensions/model_selection.py sha256=5Q-oU4bmgG4tv2_wAMDQiv8CXlR0RFMJNNus2fN080o 19047
econml/solutions/causal_analysis/__init__.py sha256=K5qXah1bTeLt40tNnq-Yf6usmnPGQOhMyJf5R23uGao 170
econml/solutions/causal_analysis/_causal_analysis.py sha256=mcn7ANGpzsJheOP0Yez4BMH7rXrUFTTSBTDjX-91JW8 92666
econml/tree/__init__.py sha256=zzonMqc8V6c4nemHU-8LOgaPjOptNMKlzdqDTCXiQIQ 524
econml/tree/_criterion.cpython-38-darwin.so sha256=3K5zN3EyXAzC01BypWg9CNblPebIKgDVxv97IRYGwiI 195416
econml/tree/_splitter.cpython-38-darwin.so sha256=1yBwZo6j4rGfpf_FlGFAaKXQvNBdkCQb-xoe442x5NA 195576
econml/tree/_tree.cpython-38-darwin.so sha256=G-p5w8__Ay8GDyypDNLIiATw7M9BRsgb_cNPseKB27s 373536
econml/tree/_tree_classes.py sha256=5_bXEaAJunsV7BNAUnQJKCLyPMRXQQohjN9gvkHGpiU 16150
econml/tree/_utils.cpython-38-darwin.so sha256=jfi_kVUFyN_wlnMqWW1eHV2wA1c6CK2x8z9tPB012Nc 187640
LUBEAT-0.13.1.dist-info/LICENSE sha256=-imthWf6ykj6fh0SLQUWLcVFNY7qZcVx3fVTOVkJ2b4 2981
LUBEAT-0.13.1.dist-info/METADATA sha256=lFjGUv7pZPl1Ztmj2zauIIdJwrC8MP8t9BmVMLHAR64 34664
LUBEAT-0.13.1.dist-info/WHEEL sha256=pXLpj1wTvqlD6RVUEKOuGQGeFX0NOPyDrsC-9xVDmYU 109
LUBEAT-0.13.1.dist-info/top_level.txt sha256=54ulVsxRuUdr0DDXSGOz_20-IasuPmj2QJFshodwvEs 7
LUBEAT-0.13.1.dist-info/RECORD — —

top_level.txt

econml