Wheelodex » Projects » econml

econml

View on PyPI — Reverse Dependencies (9)

0.15.1 econml-0.15.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
econml-0.15.1-cp39-cp39-win_amd64.whl
econml-0.15.1-cp39-cp39-macosx_11_0_arm64.whl
econml-0.15.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
econml-0.15.1-cp38-cp38-win_amd64.whl
econml-0.15.1-cp38-cp38-macosx_11_0_arm64.whl
econml-0.15.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
econml-0.15.1-cp312-cp312-win_amd64.whl
econml-0.15.1-cp312-cp312-macosx_11_0_arm64.whl
econml-0.15.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
econml-0.15.1-cp311-cp311-win_amd64.whl
econml-0.15.1-cp311-cp311-macosx_11_0_arm64.whl
econml-0.15.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
econml-0.15.1-cp310-cp310-win_amd64.whl
econml-0.15.1-cp310-cp310-macosx_11_0_arm64.whl

Wheel Details

Project: econml
Version: 0.15.1
Filename: econml-0.15.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Download: [link]
Size: 4580633
MD5: dc8d6d0c0ee3a7ac8f97e854f1f29ab1
SHA256: 67fac2c3b266d136a402ed39fe7cbc321fdad169dcfd3852e70b769c368b91ff
Uploaded: 2024-07-03 18:16:40 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: econml
Version: 0.15.1
Summary: This package contains several methods for calculating Conditional Average Treatment Effects
Author: PyWhy contributors
Project-Url: Homepage, https://github.com/py-why/EconML
Project-Url: Bug Tracker, https://github.com/py-why/EconML/Issues
Project-Url: Source Code, https://github.com/py-why/EconML
Project-Url: Documentation, https://econml.azurewebsites.net/
License: MIT
Keywords: treatment-effect
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: MacOS
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX :: Linux
Requires-Python: >=3.8
Requires-Dist: numpy (<2)
Requires-Dist: scipy (>1.4.0)
Requires-Dist: scikit-learn (<1.6,>=1.0)
Requires-Dist: sparse
Requires-Dist: joblib (>=0.13.0)
Requires-Dist: statsmodels (>=0.10)
Requires-Dist: pandas (>1.0)
Requires-Dist: shap (<0.44.0,>=0.38.1)
Requires-Dist: lightgbm
Requires-Dist: packaging
Requires-Dist: azure-cli; extra == "all"
Requires-Dist: graphviz; extra == "all"
Requires-Dist: matplotlib; extra == "all"
Requires-Dist: ray (>2.2.0); extra == "all"
Requires-Dist: keras (<2.4); python_version < "3.9" and extra == "all"
Requires-Dist: tensorflow (<2.3,>1.10); python_version < "3.9" and extra == "all"
Requires-Dist: protobuf (<4); python_version < "3.9" and extra == "all"
Requires-Dist: numpy (<1.24); python_version < "3.9" and extra == "all"
Requires-Dist: dowhy (<0.11); python_version <= "3.8" and extra == "all"
Requires-Dist: dowhy (<0.12); python_version > "3.8" and extra == "all"
Requires-Dist: azure-cli; extra == "automl"
Requires-Dist: dowhy (<0.11); python_version <= "3.8" and extra == "dowhy"
Requires-Dist: dowhy (<0.12); python_version > "3.8" and extra == "dowhy"
Requires-Dist: graphviz; extra == "plt"
Requires-Dist: matplotlib; extra == "plt"
Requires-Dist: ray (>2.2.0); extra == "ray"
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"
Requires-Dist: protobuf (<4); python_version < "3.9" and extra == "tf"
Requires-Dist: numpy (<1.24); python_version < "3.9" and extra == "tf"
Provides-Extra: all
Provides-Extra: automl
Provides-Extra: dowhy
Provides-Extra: plt
Provides-Extra: ray
Provides-Extra: tf
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 35709 characters]

WHEEL

Wheel-Version: 1.0
Generator: setuptools (70.2.0)
Root-Is-Purelib: false
Tag: cp39-cp39-manylinux_2_17_x86_64
Tag: cp39-cp39-manylinux2014_x86_64

RECORD

Path Digest Size
econml-0.15.1.dist-info/LICENSE sha256=5FA6AQIqgZzDZUJzl3iF5JhMzofNBr2BBj0bs2oFYlA 2978
econml-0.15.1.dist-info/WHEEL sha256=R2Iwi5bVevUz_9XnGyQnNhBO8W9-31XyF9DRAu23_xA 147
econml-0.15.1.dist-info/top_level.txt sha256=54ulVsxRuUdr0DDXSGOz_20-IasuPmj2QJFshodwvEs 7
econml-0.15.1.dist-info/RECORD — —
econml-0.15.1.dist-info/METADATA sha256=14KSGyMxOtMgGNEMRCvFtadpouFmTC4NnH1aPGbvg9M 38352
econml/_cate_estimator.py sha256=X0-Dz06TiiTJJ8Yc9Qgv2zY0ubLMDmxCQZIdjaC27E4 61614
econml/_version.py sha256=hWMCvsJsblyiq8P38-UPBMvGTdeDkPl4SX9AsU-qosU 115
econml/_shap.py sha256=rAgsFJQA3kAllEkOYZqU_noK6BVMcMSX9J_3McRTLpc 20858
econml/_tree_exporter.py sha256=PcBpVzTbWBJ-qNb34ggwJRsrWmio30tXL72Znz_i_RU 32039
econml/_ortho_learner.py sha256=CWp4epb-FnHkKdRL7sYu37Cgycg7DsO8nrqbqmZWDJU 55378
econml/utilities.py sha256=JbCfN0Y1L03RpP4mimZPZ4heeeNLk3e_ApSJGxYdCxI 48624
econml/dowhy.py sha256=1PXHj_18AyUefTLqF-w1mfArpkRh9X-fSsHXg-vP2Pc 12218
econml/federated_learning.py sha256=pUoevv89vN4WL2SdZJDje0A1WvlFgisSEEgjWzhPMZg 4399
econml/__init__.py sha256=wV-DTxK1WVrGjrgMqn8i4gOVLrYqjGL8pfffORQQ7d0 659
econml/validate/drtester.py sha256=SEaXB4NdBGE328z1U6iiHQCPruFDAbymIiau9ktev4Q 26760
econml/validate/utils.py sha256=xxbDGELMt5O-s2k0Cc2KtROtJTBPlPHH4XxSjii2zkk 5279
econml/validate/results.py sha256=maCWF4MQ9lbfU9bwy1kSNn5WBudAchj7ECf2uP6ZuVI 9997
econml/validate/__init__.py sha256=ZSCC2X4FSGiP9I2sHLBdV0KrxkJnZdV9J4LdDZW4M6k 435
econml/automated_ml/__init__.py sha256=CRUNRbaAxpE2vM6uz0uP5FA6UHZtQjd8eL5RLFc6H1s 415
econml/automated_ml/_automated_ml.py sha256=LtvCBX46j61py5jdJioPfXcWwiJIZo_MkJTAPZ9LvGQ 14880
econml/orf/_causal_tree.py sha256=CraN8PrXHNkiC50VoCRcENBy3C7fdTIo2wt1JRaaUYg 12801
econml/orf/_ortho_forest.py sha256=vh9K1uOk0oqZSztgs1W_kVlG5bZKU3G5JhHQTtL98eU 68805
econml/orf/__init__.py sha256=w3UR_MRa5wTpJ2JDDNBUyGR385OXKl9-a1nif5NKp7Q 583
econml/score/ensemble_cate.py sha256=k-WzRACr_o7QwArfktSs1XVicxpZOwIy0Op9gsmAsME 3150
econml/score/rscorer.py sha256=Ztb-AL9WrfEkQd-rF3CzDZdx9Sg3-XO3rUqWODTHhsQ 10113
econml/score/__init__.py sha256=_4kUeZMXjJ-aEQNZfPl8tBwEzNl_RzE0ANBQhxUr0Js 352
econml/solutions/causal_analysis/_causal_analysis.py sha256=ZO5xc0G9vbzDv_Sj7GHxGtL6ru6gq7EmtVA8e6jq_UA 92709
econml/solutions/causal_analysis/__init__.py sha256=6r02vJPPs_wJjZWvo1xh8mw4DppiCgnMw8xUPq1VTyk 167
econml/data/dynamic_panel_dgp.py sha256=zWy2kJHgZsUm8ydcskgep83WHF0JCdCurxCImfbAUTY 19068
econml/data/dgps.py sha256=fiIZa7hkU3Zw2xs_24SAzeNCmrZMtMWloVtqeLwSack 4086
econml/data/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
econml/data/ihdp/example_full.csv sha256=EqCMveFsIRutLtPz9jvse9US1Y58FWGxUtFiS86sSz0 311324
econml/data/ihdp/example.csv sha256=g7NWYb_W2oyCTc6LneEqxFxFCETpRJpOmYrAFaSgnxY 85525
econml/data/ihdp/sim.csv sha256=8A_HX0T2b4r8UmhpQ6Zfv2UVk721dWsKwUtNcMC4GjI 66191
econml/data/input_dynamicdgp/n_3.jbl sha256=S_aW8peoVVWJDn-T7lWmhTb7vG-em-xMvwvXjOQYaw0 139
econml/data/input_dynamicdgp/gm_0.jbl sha256=_cAul0Tm8jrWZIMf33kHEJav6Tpu8xLui1HvQxw4n6k 1067
econml/data/input_dynamicdgp/lognorm_neg_3.jbl sha256=gIbYcDdhchX-ITvcFhMv_GpQyYHkcGHvksgU8qhaN88 164
econml/data/input_dynamicdgp/n_5.jbl sha256=k96ctX77y-8r-Vhtue1tEsZ93zZY8AAWHDEC82ZwnRM 139
econml/data/input_dynamicdgp/n_1.jbl sha256=gwGVfdkn6zHY0yeVZDoJL4y9bH7sRHbbOJDW-Yvb-5o 139
econml/data/input_dynamicdgp/lognorm_pos_0.jbl sha256=PtrDHfRADX0gIyyg9o__F_COdPCymcgT8YUvP_7Aybk 164
econml/data/input_dynamicdgp/lognorm_neg_0.jbl sha256=yHwwKHifKcblPVJabcTC2hZMlOjRA3AxTyoQBuaw-vE 164
econml/data/input_dynamicdgp/lognorm_pos_1.jbl sha256=ems4kbHSnDDOkiOaGZI1f249x1cMpjXr2ov-IkDjyLE 164
econml/data/input_dynamicdgp/gm_6.jbl sha256=62PosHZLoOosO3pOQdqcfZMvWotJzC2W082DqWt1Rho 1067
econml/data/input_dynamicdgp/gm_3.jbl sha256=HLqs_myheVeubpXLV0Ot7FvhZFE35qkZSh7Utc8Gphk 1067
econml/data/input_dynamicdgp/lognorm_neg_4.jbl sha256=X8BNVur-vOJOURJl2b6B6OtnqWZ8lrWTcCj_d2BBHog 164
econml/data/input_dynamicdgp/lognorm_pos_5.jbl sha256=yFpu-pIWJuw_b_qq6_hWm7I-u21xnfxZMYGBtAD9mHo 164
econml/data/input_dynamicdgp/cov_new.jbl sha256=vinwIgnHn9aJiuPOj8FuFGn-ew4aWvlup4DFAjYhq_Q 63587
econml/data/input_dynamicdgp/gm_1.jbl sha256=dXuPR_MRJ5ExScxeCO7eOFFLLTs9w2VaTM8HwQzL9pk 1067
econml/data/input_dynamicdgp/gm_4.jbl sha256=PgFWKXbZsNd14WI2dqzE-jVS_r__QJyqUHGYEVp225c 1067
econml/data/input_dynamicdgp/lognorm_neg_1.jbl sha256=-sYuO6-asuR1UjTneb2hlxKxZ_CJXpRxzOJcu9gZrmY 164
econml/data/input_dynamicdgp/lognorm_pos_6.jbl sha256=0TFrNpfGBbosP9UQR59mGVNXn0NUa7k-K12miK39lBE 164
econml/data/input_dynamicdgp/lognorm_neg_2.jbl sha256=GH0qX8xOEXuhjsVOTnGvP26vMLFkpZHOVeim4im2TJo 164
econml/data/input_dynamicdgp/gm_5.jbl sha256=VnUu0PACoxBdDvDZbUmeuRuVYTJBMk9MKmTQihvwF3k 1067
econml/data/input_dynamicdgp/n_6.jbl sha256=Eu9CGdbddMEGOheDGV4UZQ7ZBV4WwQ_R3V82zccs1rw 139
econml/data/input_dynamicdgp/n_4.jbl sha256=Pl-_zlSrZORJn2xASBcpiJ6zZSzL6WW1jiCyZWhYCtA 139
econml/data/input_dynamicdgp/lognorm_pos_2.jbl sha256=kwMQ3V2QvEnQZyXQ-bSFfUOO-1RDcjvhBIryIT780Kg 164
econml/data/input_dynamicdgp/lognorm_neg_5.jbl sha256=F0LGdXj0zumV62-AGLOp-suyUfz4CS--0T9txCt5P-c 164
econml/data/input_dynamicdgp/lognorm_pos_3.jbl sha256=AVAgGQnyyNfro_p5_LJbJ28b5dp_7yWELZkqCJtPyxg 164
econml/data/input_dynamicdgp/gm_2.jbl sha256=L5O3jS3mqwNGxxjUdDPaLbLPSopEDMQjWA6cdvssB8c 1067
econml/data/input_dynamicdgp/lognorm_pos_4.jbl sha256=a-3AeqbSmdFy8oV83mgb9hR5p0vc7LBiJtSo9bQenaY 164
econml/data/input_dynamicdgp/n_2.jbl sha256=NuwaodKwkastcWY2RbtfV6QbiNzAI_K8Hg_jJLcLYPw 139
econml/data/input_dynamicdgp/n_0.jbl sha256=5RHdp8uPGM0tekhy4ivG_1ZjDYXJcn1mx5g6IuYjZwo 139
econml/policy/_base.py sha256=pCTN_sD8E9hvea6MZkCGTYT-aGF6XqzZDGTj7QZOakQ 380
econml/policy/_drlearner.py sha256=R3r6SMesJu7xfD324ajeFaWSA8XPYcHcQvzVDgfe3co 50683
econml/policy/__init__.py sha256=awAzYDXNO4DSAuqj3hFPocQz3lhBu6L1jNHyMR-3-54 310
econml/policy/_forest/_forest.py sha256=tQIxTB15ofCBk5KEVjJM3sJZ5MobOrAT_TvwdY1Lrk8 22522
econml/policy/_forest/_criterion.c sha256=4oKkokwjCH0vg2GDUFqVjZIu_kpsY6lPKSA4larZIL8 953284
econml/policy/_forest/_tree.py sha256=BssHoT7FCa4mEaa6K_HLxpSpUxHy-aswd-NV823Ro7g 16346
econml/policy/_forest/_criterion.cpython-39-x86_64-linux-gnu.so sha256=j_-e7Aew9lAvvJTXGch0LTZU7zTYhXuDmsk4SYg1v2M 1161912
econml/policy/_forest/__init__.py sha256=F3434ypLeUJnnMZAMnZCcN0-uIV1-8UH5EeaXfwmOI0 217
econml/grf/_base_grftree.py sha256=3KKL5xqMtSKfCcdM3t2yWCxFHbumjXAi_OcUieDUTu4 23464
econml/grf/_criterion.c sha256=peopllFVrkY9HC4bIqZ4CCDwfpCRWTriVZ5KqRXSuHg 1286556
econml/grf/_utils.cpython-39-x86_64-linux-gnu.so sha256=cPKGRi10b2_NRqr0K3rEWZ-L5b6sCBcNY9oWyhwgR2U 1349456
econml/grf/_utils.c sha256=PFCkRZ7wrkhBOm8hjuyt1RFSFV_uR_--MlP6leWSO14 1095893
econml/grf/_base_grf.py sha256=q6nwiskUZATJE-ypoS12kXL2oujHsc1PIWNpNfd1d18 50265
econml/grf/_criterion.cpython-39-x86_64-linux-gnu.so sha256=vo48s55y95nZeh6pP896iKcCtjX5lJl8jsq-KfIk8L8 1398952
econml/grf/classes.py sha256=gDtJu6HGJYRALdGZZGpzMVoEM1GxHjbJG83cPNK2wa0 53335
econml/grf/__init__.py sha256=Gjbs6ZoyNCPBgXrEqHGff4iOhIHOhUesEetYQcVMh6w 793
econml/iv/__init__.py sha256=4iMOVjKP8w-yncq3gtztwgkUWCeo9i5W3Yt3evOfP1U 137
econml/iv/sieve/__init__.py sha256=xvn7UnPc6Km6stq2PxWZaymNI0hywoVgQmzl0GujDOg 256
econml/iv/sieve/_tsls.py sha256=7rczf14C0WIGcFwuOvx4-S-lpdefJMjWOe2O8i-RGDA 14652
econml/iv/nnet/_deepiv.py sha256=KxIdyHoSDOHxwcBb8rFUVBnPiG5KMnBpQYGq2XrwPXM 18023
econml/iv/nnet/__init__.py sha256=kdmexo5U5itggbtjpkUc4FJ7H1AJVpW9CluRuCZwnAc 148
econml/iv/dml/_dml.py sha256=j-9iRS8_o6yhSUkKnoZGKdzj6AlyDtHsl-8d7_UyTW8 71121
econml/iv/dml/__init__.py sha256=EH208hBZPCoKBT2pPDg7DyfVyPnb7xWv-q3wQ0ZUPBo 698
econml/iv/dr/_dr.py sha256=IYyyi0jIGMHLGwtQu0mzNZfXd2Idabyr1Ij0WFWnoL0 144912
econml/iv/dr/__init__.py sha256=uWRrMjLw6jfQylTBozhkMsDagAJ0VjPER5tKt0drlww 861
econml/_ensemble/_ensemble.py sha256=qRkEOP7bs6Yfm5hmdM5_LBwvGaQ7PaBxnM_OAZj8nT4 6554
econml/_ensemble/_utilities.py sha256=eyM3IsU8D53RKFcgTo4QXygA_lsFkKX0AXzNkR47tRs 4944
econml/_ensemble/__init__.py sha256=XOn4UXp55ogl9K_gWOYK5dcP7-JCQZ784jsEU2Gs6oQ 610
econml/inference/_bootstrap.py sha256=yCKWat_MrZ-lRMu9mWscFEY50r2uRqi_rKS-xgArFNc 13723
econml/inference/_inference.py sha256=5n7vkCJ1MDba6dwzQwJL00M_0L9PYN__yLb5wRmI6mQ 75775
econml/inference/__init__.py sha256=FDXO6Fav6ojuEyLyiTANSKapWzXDXceFOYS-7OQwDz0 1017
econml/tree/_splitter.c sha256=P6Trok1n4sRVdsZSeLeGnNt5hN1PziwxN76r_fN6ex4 1216642
econml/tree/_tree.c sha256=RP5f2ZypSuF7yg3qCzdLYNEvpcriexrUFV36nsg4ZfM 1621912
econml/tree/_criterion.c sha256=EC94yMADXCDwGY-iI2GGUI46H8lgbUtBFVE9WMhYV7Q 1100953
econml/tree/_utils.cpython-39-x86_64-linux-gnu.so sha256=4pnCJGXCtLPYDp4N1W1qI7xWgRWZrxsBDFW3dKNOYWg 1302976
econml/tree/_tree_classes.py sha256=SvgrL4AVovUJNxOWLdjLlm9mPXan1ZUvWSjAXszCBGQ 16150
econml/tree/_tree.cpython-39-x86_64-linux-gnu.so sha256=_VMyxcVV3kvzmolIcn7d4mEhQSPnLtPlvroIsFQMrJg 2482952
econml/tree/_utils.c sha256=pFK5YrTFb7VL66TFfCipa8NWV8dZzIW9WfziNoBFCoU 1055194
econml/tree/_criterion.cpython-39-x86_64-linux-gnu.so sha256=bWUmyyxlxkYQTI_3b7bbeBK12LYPZj6Ogi_EN9u92vc 1304664
econml/tree/_splitter.cpython-39-x86_64-linux-gnu.so sha256=H1O6gdrP8NR6XKSPYb5LJ6WOgZUsDMcu1tLk3Zxan4E 1384680
econml/tree/__init__.py sha256=JVHdK9EX_ctFSFP4k3IW2s-YRUnhHgmMqyxby_FhV9Y 521
econml/dml/_rlearner.py sha256=IywwrYj52Q-d_oh_ZufZ0ybX03WofPHs-fIzGeSaRrg 21691
econml/dml/causal_forest.py sha256=knIb-TFv6HBTcZwR0RXgWchz-5TgNvAg4T8iMNzTEt0 51201
econml/dml/dml.py sha256=K6Wdo5xn_97GV1V4V0nqc42yfDSoVQhphudC3-l6CwU 71201
econml/dml/__init__.py sha256=giVMaJ7SI3JyFezsUngLEa37t1QaH7E8LDwOhbkkKRw 1967
econml/metalearners/_metalearners.py sha256=5_SuyJCGBmbqFzdfS3tjDZiLDQHTPeJVF7KZzOn8XP4 25593
econml/metalearners/__init__.py sha256=Vx3BmAnMYePtyxV1ScNsy9D0KKFZ4qQEVTzkJoGJme8 292
econml/sklearn_extensions/model_selection.py sha256=-jOgzIwcmiD4OXIIY7wRE5ciDSlSkC3sW_RkKgrthns 38264
econml/sklearn_extensions/linear_model.py sha256=U8bSbHXNgZFsBwdWzwXPWx3oBgwmMQriFas7feEbyKI 90626
econml/sklearn_extensions/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
econml/dr/_drlearner.py sha256=j-F0_yuAX0h6xANvsvWEXqAt7wtHiC43uvEyO2sUumw 77170
econml/dr/__init__.py sha256=kdRDnT2sM3qcXgUSmec0soe_tSS2r-mQxDSJicjp3AQ 315
econml/cate_interpreter/_interpreters.py sha256=ABsLAZWJkkr3ChqLh8uxyl3fi5q-F9shsWlRsG51ODk 26074
econml/cate_interpreter/__init__.py sha256=ioRZTvTpUt8_fniAVhxQiPJHPJQXZ4rEUxEBktB5yv8 264
econml/panel/utilities.py sha256=-Tsk027ZWTYbMUK7hkcydureuMjgS1cngIbVIXLIAUI 1088
econml/panel/__init__.py sha256=jIQ2iR5U3gT6jOTn3t5zNc7VOfrDFIc1Nf81CE0nnrI 110
econml/panel/dml/_dml.py sha256=roGAY0Pze6QDzfhz8dBObhAV5W5kIejWIg9SfAHVH7E 40190
econml/panel/dml/__init__.py sha256=xm9X5OY3-WOdNs-G_BKjTziKdKOFGscPgd_kUPv6M34 598

top_level.txt

econml