Wheelodex » Projects » econml » econml-0.15.1-cp310-cp310-win_amd64.whl

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-cp310-cp310-win_amd64.whl
Download: [link]
Size: 1960109
MD5: 30007d58a34da556e11fd885db34c478
SHA256: f763011adbf07ce82b32ff89e26fb329772d352370adc3fafa8dac834e09a93d
Uploaded: 2024-07-03 18:16:18 +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: cp310-cp310-win_amd64

RECORD

Path Digest Size
econml/__init__.py sha256=wV-DTxK1WVrGjrgMqn8i4gOVLrYqjGL8pfffORQQ7d0 659
econml/_cate_estimator.py sha256=-h8icYqSlgR9yknNvovxoTkW_yBfmpmfKyDutlfOXuk 63066
econml/_ortho_learner.py sha256=NVsq-zgSEgZ0v0J5ExZTntRlFLYpE6c21ckTSDtBLFA 56507
econml/_shap.py sha256=6TMUlGWTXjSSkzeo-RPXGWMUHXQFIMBrcYY2Y9UZLEk 21266
econml/_tree_exporter.py sha256=6O4swPDf2X37j-aFkXHUnVP_HnzMWMvm-GjE3sy8lRc 32866
econml/_version.py sha256=imtNDetPZambW1kk5UxSk-cCogFyRBVhRzIPwy9ZuQY 119
econml/dowhy.py sha256=X5ffQEK2iPZihKVir9maOayRfr9SJc9kkC_gM8lNsNg 12480
econml/federated_learning.py sha256=pUoevv89vN4WL2SdZJDje0A1WvlFgisSEEgjWzhPMZg 4399
econml/utilities.py sha256=SHchVJtrjfa2eIKhNz45Hvy5t8nvbTI7WKcRc_w6gt4 50147
econml/_ensemble/__init__.py sha256=XOn4UXp55ogl9K_gWOYK5dcP7-JCQZ784jsEU2Gs6oQ 610
econml/_ensemble/_ensemble.py sha256=qRkEOP7bs6Yfm5hmdM5_LBwvGaQ7PaBxnM_OAZj8nT4 6554
econml/_ensemble/_utilities.py sha256=eyM3IsU8D53RKFcgTo4QXygA_lsFkKX0AXzNkR47tRs 4944
econml/automated_ml/__init__.py sha256=CRUNRbaAxpE2vM6uz0uP5FA6UHZtQjd8eL5RLFc6H1s 415
econml/automated_ml/_automated_ml.py sha256=9fs4WqoG03GGKNZkTv8n5nGv8Y-LRzH0o5nnnD6X2J0 15244
econml/cate_interpreter/__init__.py sha256=ioRZTvTpUt8_fniAVhxQiPJHPJQXZ4rEUxEBktB5yv8 264
econml/cate_interpreter/_interpreters.py sha256=ABsLAZWJkkr3ChqLh8uxyl3fi5q-F9shsWlRsG51ODk 26074
econml/data/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
econml/data/dgps.py sha256=k1mS2XC3KVBHlWn_QY71S4csveXzTEi0EyS8fbzrc_A 4181
econml/data/dynamic_panel_dgp.py sha256=oLCQqnBwvc6Bhik0zCKwLt2cbtZSwCedNb--jL6WPCM 19528
econml/data/ihdp/example.csv sha256=Ii_0jxx4-C4U7IIDrK42y3jT-PJpyKGvCFlqq-5QRqc 86511
econml/data/ihdp/example_full.csv sha256=fzbmnwSAW8_K8LUOtYSWpmY8sC6U4hjKF_nBCEw0lIY 312310
econml/data/ihdp/sim.csv sha256=cEV9mVHZ-CKaQLt-fcmYLBhwvsfkmshKpTQD2snqmew 67177
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=giVMaJ7SI3JyFezsUngLEa37t1QaH7E8LDwOhbkkKRw 1967
econml/dml/_rlearner.py sha256=sklZuAOh4ILQ5O7a4pR8V-glUTLMVVxa-L2ALXYnDmk 22177
econml/dml/causal_forest.py sha256=x7GS9CcL3DUFUd38f0PjIEOOdhM9aaOnSOaizIP_ZvU 52268
econml/dml/dml.py sha256=Hz6N62eRRw0jYgiKhAR-V62XnsMApYRS-MxHdXL_Ka4 72785
econml/dr/__init__.py sha256=kdRDnT2sM3qcXgUSmec0soe_tSS2r-mQxDSJicjp3AQ 315
econml/dr/_drlearner.py sha256=5_HtJOeTBO_p2j_sRm5pZCYfEzZ2xHQmk6HTRUcdoLY 78844
econml/grf/__init__.py sha256=Gjbs6ZoyNCPBgXrEqHGff4iOhIHOhUesEetYQcVMh6w 793
econml/grf/_base_grf.py sha256=q6nwiskUZATJE-ypoS12kXL2oujHsc1PIWNpNfd1d18 50265
econml/grf/_base_grftree.py sha256=3KKL5xqMtSKfCcdM3t2yWCxFHbumjXAi_OcUieDUTu4 23464
econml/grf/_criterion.c sha256=PzExs6mT_8l5T6VP8qdoEbII1kca17MAGKruMJQX57A 1291479
econml/grf/_criterion.cp310-win_amd64.pyd sha256=lPgjKGTh2cbHai8zP-fIj08OFrZcXQ711TCULMDz4ug 139776
econml/grf/_utils.c sha256=_m24FfNHnIVJL8z0kqAc9rrTRitt4I42EItLLhQqeIw 1100818
econml/grf/_utils.cp310-win_amd64.pyd sha256=HvMI6_JKS7J7GI0mBMLoQAlWTaKiY_uInWBuxy_Yf44 143872
econml/grf/classes.py sha256=gDtJu6HGJYRALdGZZGpzMVoEM1GxHjbJG83cPNK2wa0 53335
econml/inference/__init__.py sha256=FDXO6Fav6ojuEyLyiTANSKapWzXDXceFOYS-7OQwDz0 1017
econml/inference/_bootstrap.py sha256=yCKWat_MrZ-lRMu9mWscFEY50r2uRqi_rKS-xgArFNc 13723
econml/inference/_inference.py sha256=WhKUo1gKuDKPVztsHLdkiNpl3twIte8n6Ul6aQzX5so 77387
econml/iv/__init__.py sha256=4iMOVjKP8w-yncq3gtztwgkUWCeo9i5W3Yt3evOfP1U 137
econml/iv/dml/__init__.py sha256=EH208hBZPCoKBT2pPDg7DyfVyPnb7xWv-q3wQ0ZUPBo 698
econml/iv/dml/_dml.py sha256=7RHh0FHKeRD3ylWyVi1FkI6EhchJqg7z2AbL3XxteCU 72727
econml/iv/dr/__init__.py sha256=uWRrMjLw6jfQylTBozhkMsDagAJ0VjPER5tKt0drlww 861
econml/iv/dr/_dr.py sha256=04lKuTyFlcGUQ_fVPlH3PIzGobies489hpP0WUnU17A 148060
econml/iv/nnet/__init__.py sha256=kdmexo5U5itggbtjpkUc4FJ7H1AJVpW9CluRuCZwnAc 148
econml/iv/nnet/_deepiv.py sha256=IaarhuBWt7EnKMK9f3REBYwBw3fRXxTxouTmSOl4QPY 18480
econml/iv/sieve/__init__.py sha256=xvn7UnPc6Km6stq2PxWZaymNI0hywoVgQmzl0GujDOg 256
econml/iv/sieve/_tsls.py sha256=OBqCr1Q3Hzzd1-fxEHE22_RFHvy5Xxx-oNYoyMqW5G4 15012
econml/metalearners/__init__.py sha256=Vx3BmAnMYePtyxV1ScNsy9D0KKFZ4qQEVTzkJoGJme8 292
econml/metalearners/_metalearners.py sha256=m-bDPKa4gRAsBQfjrPFCgT0C_8efny5MwXJPB48gSHM 26206
econml/orf/__init__.py sha256=w3UR_MRa5wTpJ2JDDNBUyGR385OXKl9-a1nif5NKp7Q 583
econml/orf/_causal_tree.py sha256=dOpPcxKZ3zyRtkZv4Lfs9SrZ_Bn14flUCq2eYsSzSN8 13074
econml/orf/_ortho_forest.py sha256=6A83U7SoVSR5TCt9Pg-b2YkHVGoB2v7woyISOeaxgl8 70268
econml/panel/__init__.py sha256=d3CYILhdjXHQPBafChA68NwgbLCLgV9OFIxdUr4oiSU 114
econml/panel/utilities.py sha256=O0IM1oAbXkZw5CiukO1YOOxCiX1YH5WeWKerl0V0L10 1129
econml/panel/dml/__init__.py sha256=Qi0vo_1yHRtPX3jkEj34v2O-NYopI7H1CnAlFu79_C8 618
econml/panel/dml/_dml.py sha256=Dbs0oSIVeDAq6gD3wadeq9_1jrU36PXqYKTr4PJ_BxI 41069
econml/policy/__init__.py sha256=awAzYDXNO4DSAuqj3hFPocQz3lhBu6L1jNHyMR-3-54 310
econml/policy/_base.py sha256=pCTN_sD8E9hvea6MZkCGTYT-aGF6XqzZDGTj7QZOakQ 380
econml/policy/_drlearner.py sha256=R3r6SMesJu7xfD324ajeFaWSA8XPYcHcQvzVDgfe3co 50683
econml/policy/_forest/__init__.py sha256=F3434ypLeUJnnMZAMnZCcN0-uIV1-8UH5EeaXfwmOI0 217
econml/policy/_forest/_criterion.c sha256=lM0TrHwksbENKWx_qvij8z83DCO3oPPeT0tc93BC5ss 958208
econml/policy/_forest/_criterion.cp310-win_amd64.pyd sha256=ay4WgU7DqjkM7Q45ALT1Z0acyrB8vH3-fQ3coZG7tTE 105984
econml/policy/_forest/_forest.py sha256=tQIxTB15ofCBk5KEVjJM3sJZ5MobOrAT_TvwdY1Lrk8 22522
econml/policy/_forest/_tree.py sha256=BssHoT7FCa4mEaa6K_HLxpSpUxHy-aswd-NV823Ro7g 16346
econml/score/__init__.py sha256=_4kUeZMXjJ-aEQNZfPl8tBwEzNl_RzE0ANBQhxUr0Js 352
econml/score/ensemble_cate.py sha256=k-WzRACr_o7QwArfktSs1XVicxpZOwIy0Op9gsmAsME 3150
econml/score/rscorer.py sha256=Ztb-AL9WrfEkQd-rF3CzDZdx9Sg3-XO3rUqWODTHhsQ 10113
econml/sklearn_extensions/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
econml/sklearn_extensions/linear_model.py sha256=0N5JuxjpTNZ7V5tbdWSa8Liiv1Ld4ryTXRFWo7tAwsk 92795
econml/sklearn_extensions/model_selection.py sha256=vLtAlzKVuc2310QWYKD6fJM07LGBY1ScSarqGs51M70 39125
econml/solutions/causal_analysis/__init__.py sha256=c7b7JVyQV_bHlQIUMt-7VDkbeqMyIlHS3s61xda0q2Y 173
econml/solutions/causal_analysis/_causal_analysis.py sha256=_7CSGvpqd3_WYjh7KuIuRQCFEvGL9faJ63Uel_x46cY 94514
econml/tree/__init__.py sha256=JVHdK9EX_ctFSFP4k3IW2s-YRUnhHgmMqyxby_FhV9Y 521
econml/tree/_criterion.c sha256=y8pDVGCIluYfLHIEZLK4HZ3P_-lZRx_lyJotez1aIwQ 1105876
econml/tree/_criterion.cp310-win_amd64.pyd sha256=SH1mYibZF_CIz26PCGeMX5Ic24ntSnXcTgTxyu_gNA8 122880
econml/tree/_splitter.c sha256=h9E5Wvij-srkSY3PLRWfWYFhkBcJ3RHnnY4_e-6kUjs 1221567
econml/tree/_splitter.cp310-win_amd64.pyd sha256=WF0RGMqa6kXDx_6xBfNMDEBS3QQwMIpelGfNIVhKV7I 129536
econml/tree/_tree.c sha256=Zdp_mK5IfXkAMqBQllSSgDOO-9i3tBXmrdU7Ug-phqA 1626837
econml/tree/_tree.cp310-win_amd64.pyd sha256=roIIaXxpCIj6Qs10n0GzuXba8DB7ll0Mrb7Oqyd0CTI 227840
econml/tree/_tree_classes.py sha256=SvgrL4AVovUJNxOWLdjLlm9mPXan1ZUvWSjAXszCBGQ 16150
econml/tree/_utils.c sha256=SkJX4gYt-WASKSPrqrKvFJVtBnEHYU9RGyMqVYfYpG0 1060117
econml/tree/_utils.cp310-win_amd64.pyd sha256=nJAEdZlQpSkqM_w-mi5NXidbpwup09EXCyW3rx62rw4 118784
econml/validate/__init__.py sha256=_qkOy1ABRBW1zj4OZ7logkA-iFV2n92KoXnk7Kwzios 448
econml/validate/drtester.py sha256=hJbWqakusgcBngVIZxCXcw_889AV6J1tBKO7SNY760I 27399
econml/validate/results.py sha256=g2KmuEZ34Rcja-vKz9Tc8eah8FyCKBwK4POHmQRuGUg 10354
econml/validate/utils.py sha256=BlaGoXrq-WYiQJRKiYqyiHCCemeV4P88vf2ByZvPUyU 5406
econml-0.15.1.dist-info/LICENSE sha256=-IwhwaszrizrGxACQ8itQVIgFZXnDmMsykh6A5D3pAY 3035
econml-0.15.1.dist-info/METADATA sha256=__tw_Vno2LxF3Q5gXav03-vzAsKtH1x-A48pQRBF-Ms 39208
econml-0.15.1.dist-info/WHEEL sha256=UZYoTfvcH9CL8oQkujTAI06MiAXK9kd09pSK3OpCC7k 101
econml-0.15.1.dist-info/top_level.txt sha256=54ulVsxRuUdr0DDXSGOz_20-IasuPmj2QJFshodwvEs 7
econml-0.15.1.dist-info/RECORD — —

top_level.txt

econml