Wheelodex » Projects » beanmachine » beanmachine-0.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

beanmachine

View on PyPI — Reverse Dependencies (1)

0.2.0 beanmachine-0.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
beanmachine-0.2.0-cp39-cp39-win_amd64.whl
beanmachine-0.2.0-cp39-cp39-macosx_10_13_x86_64.whl
beanmachine-0.2.0-cp39-cp39-macosx_10_13_universal2.whl
beanmachine-0.2.0-cp39-cp39-macosx_11_0_arm64.whl
beanmachine-0.2.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
beanmachine-0.2.0-cp38-cp38-win_amd64.whl
beanmachine-0.2.0-cp38-cp38-macosx_10_13_x86_64.whl
beanmachine-0.2.0-cp38-cp38-macosx_10_13_universal2.whl
beanmachine-0.2.0-cp38-cp38-macosx_11_0_arm64.whl
beanmachine-0.2.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
beanmachine-0.2.0-cp37-cp37m-win_amd64.whl
beanmachine-0.2.0-cp37-cp37m-macosx_10_13_x86_64.whl
beanmachine-0.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
beanmachine-0.2.0-cp310-cp310-win_amd64.whl
beanmachine-0.2.0-cp310-cp310-macosx_10_13_x86_64.whl
beanmachine-0.2.0-cp310-cp310-macosx_10_13_universal2.whl
beanmachine-0.2.0-cp310-cp310-macosx_11_0_arm64.whl

Wheel Details

Project: beanmachine
Version: 0.2.0
Filename: beanmachine-0.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Download: [link]
Size: 1221993
MD5: 62065fea458adb4f789810453789a3ab
SHA256: aabc3842875cfd27ef58afb401861ff5f731fb9f72796d632ee0dc5c64e1edd1
Uploaded: 2022-09-06 23:16:15 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: beanmachine
Version: 0.2.0
Summary: Probabilistic Programming Language for Bayesian Inference
Author: Meta Platforms, Inc.
Home-Page: https://beanmachine.org
Project-Url: Documentation, https://beanmachine.org
Project-Url: Source, https://github.com/facebookresearch/beanmachine
License: MIT
Keywords: Probabilistic Programming Language,Bayesian Inference,Statistical Modeling,MCMC,Variational Inference,PyTorch
Classifier: Development Status :: 3 - Alpha
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: License :: OSI Approved :: MIT License
Classifier: Topic :: Scientific/Engineering
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Requires-Python: >=3.7
Requires-Dist: arviz (>=0.12.1)
Requires-Dist: astor (>=0.7.1)
Requires-Dist: black (==22.3.0)
Requires-Dist: botorch (>=0.5.1)
Requires-Dist: gpytorch (<1.9.0,>=1.3.0)
Requires-Dist: graphviz (>=0.17)
Requires-Dist: functorch (>=0.2.0)
Requires-Dist: numpy (>=1.18.1)
Requires-Dist: pandas (>=0.24.2)
Requires-Dist: plotly (>=2.2.1)
Requires-Dist: scipy (>=0.16)
Requires-Dist: statsmodels (>=0.12.0)
Requires-Dist: torch (>=1.9.0)
Requires-Dist: tqdm (>=4.46.0)
Requires-Dist: typing-extensions (>=3.10)
Requires-Dist: xarray (>=0.16.0)
Requires-Dist: netCDF4 (<=1.5.8); python_version < "3.8"
Requires-Dist: pytest (>=7.0.0); extra == "dev"
Requires-Dist: pytest-cov; extra == "dev"
Requires-Dist: bokeh; extra == "dev"
Requires-Dist: cma; extra == "dev"
Requires-Dist: ipywidgets; extra == "dev"
Requires-Dist: jupyter; extra == "dev"
Requires-Dist: lxml (>=4.9); extra == "dev"
Requires-Dist: matplotlib; extra == "dev"
Requires-Dist: mdformat; extra == "dev"
Requires-Dist: mdformat-myst; extra == "dev"
Requires-Dist: scikit-learn (>=1.0.0); extra == "dev"
Requires-Dist: seaborn; extra == "dev"
Requires-Dist: tabulate; extra == "dev"
Requires-Dist: torchvision; extra == "dev"
Requires-Dist: flake8 (==4.0.1); extra == "dev"
Requires-Dist: flake8-bugbear; extra == "dev"
Requires-Dist: libcst (==0.4.1); extra == "dev"
Requires-Dist: nbval; extra == "dev"
Requires-Dist: sphinx (==4.2.0); extra == "dev"
Requires-Dist: sphinx-autodoc-typehints; extra == "dev"
Requires-Dist: sphinx-rtd-theme; extra == "dev"
Requires-Dist: toml (>=0.10.2); extra == "dev"
Requires-Dist: ufmt (==1.3.2); extra == "dev"
Requires-Dist: usort (==1.0.2); extra == "dev"
Requires-Dist: pytest (>=7.0.0); extra == "test"
Requires-Dist: pytest-cov; extra == "test"
Requires-Dist: bokeh; extra == "tutorials"
Requires-Dist: cma; extra == "tutorials"
Requires-Dist: ipywidgets; extra == "tutorials"
Requires-Dist: jupyter; extra == "tutorials"
Requires-Dist: lxml (>=4.9); extra == "tutorials"
Requires-Dist: matplotlib; extra == "tutorials"
Requires-Dist: mdformat; extra == "tutorials"
Requires-Dist: mdformat-myst; extra == "tutorials"
Requires-Dist: scikit-learn (>=1.0.0); extra == "tutorials"
Requires-Dist: seaborn; extra == "tutorials"
Requires-Dist: tabulate; extra == "tutorials"
Requires-Dist: torchvision; extra == "tutorials"
Provides-Extra: dev
Provides-Extra: test
Provides-Extra: tutorials
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 2085 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.37.1)
Root-Is-Purelib: false
Tag: cp39-cp39-manylinux_2_17_x86_64
Tag: cp39-cp39-manylinux2014_x86_64

RECORD

Path Digest Size
beanmachine/minibm.py sha256=mX8PMJReHzbdjsPRvuSB2b152O0PZSGfSP4U7np6lko 9206
beanmachine/graph.cpython-39-x86_64-linux-gnu.so sha256=Cj6EFp--5PkdyZUJqdjh1EIM_GFWK5JbXC5sGVgnYYo 2236544
beanmachine/__init__.py sha256=dUqaMAjjy9QeeYD_qZlLKwEjiy515gNaDqBp_VsFWck 202
beanmachine/applications/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
beanmachine/applications/clara/nmc.py sha256=rXSghon6wXE598DSnYHLpCUhDPzKos28igtxCx99_V4 8234
beanmachine/applications/clara/nmc_df.py sha256=lKh0x-xrgpn4tUmGRpQBR00ouc7E59roM2U3zcSNk-0 7118
beanmachine/applications/clara/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
beanmachine/applications/hme/interface.py sha256=zUFG8j3IH9d4_syLPSpZQhqSa0-yEHcnIismZ4XS-l8 1683
beanmachine/applications/hme/abstract_model.py sha256=6Z_BdcIlbbuLhFLn4VSF6nHuon__LN7VtXoMOM2m66M 26631
beanmachine/applications/hme/configs.py sha256=Xy_tfqvFRGZHi7vl1ERl8JPEn6ERiVCqn5LD379QIj8 6078
beanmachine/applications/hme/abstract_linear_model.py sha256=7TTt-XkWi55uj73i-bR0xaqAPvTyKFoJ1dwV3R2wlMg 10782
beanmachine/applications/hme/priors.py sha256=u4EW2cWGEdOMX_8HF5pXsou3PG0Hc2Dcc0cKB16S-LY 3178
beanmachine/applications/hme/null_mixture_model.py sha256=3AD3cNmwtrfYMP7y4OUCqjyjRTfy6A_H5D1qsUuVgJs 10680
beanmachine/applications/hme/patsy_mixed.py sha256=CB3iNmpUbGlV1pmBsvfoO9ew_P6GYHZ1mG3eQW2DlKU 2447
beanmachine/applications/hme/__init__.py sha256=maWJCrKe_k2UPyPHoGE8nwcu-5HSMPZoZTK2CsUqWuw 504
beanmachine/tutorials/__init__.py sha256=D9ECsap08rcUtHyaR111nTjArlKkUjQwP8usXwXAAVQ 179
beanmachine/tutorials/utils/radon.py sha256=lsCbTA8CNh-H5UmMwpyJd44xm9J0NSqd4WHUPkioInc 19814
beanmachine/tutorials/utils/baseball.py sha256=VuP_hmi-4NuvMTbZlFCisE9NtOcOQtvL1RT92ASrvaY 26598
beanmachine/tutorials/utils/etl.py sha256=reKh7PxMTsE_8-8ZgXkdHHAZzuZBaq7BRro6T1ATrv8 2080
beanmachine/tutorials/utils/hearts.py sha256=Wdn63abRsamTQz2q9fQgKxmjDpJVBYJMGGgZ3S5fWas 27831
beanmachine/tutorials/utils/plots.py sha256=4sax5Z_rtMMrENtQJ15qnnUQBK-Wg2s2VT6_fHsX1qE 44901
beanmachine/tutorials/utils/nba.py sha256=d00J9zlzeM9IrFjFd6s7qmk8jnQD1Y9XA3XUIQrQOmQ 14153
beanmachine/tutorials/utils/__init__.py sha256=EBoEfIjrEjcv_QH9j0-TViIt2ubbECabiFtfNs6VYuI 246
beanmachine/ppl/conftest.py sha256=hYMWf1cIvpAWjNTuDOCwbInnufWinlA1sDP10J5EJZ4 588
beanmachine/ppl/__init__.py sha256=4lqavED3HRkZGZIWQB6Z7T4wMDcUpfM4v3aHkN9V0pk 1609
beanmachine/ppl/inference/single_site_ancestral_mh.py sha256=8m75vnYVqn4FT0rrssbFIn6ROQmhkMvsAdb30-evKgw 521
beanmachine/ppl/inference/bmg_inference.py sha256=qOjSIHGbH9ulo4mAJXjDqNAkItW1eP2zW49gcTEaj_A 13473
beanmachine/ppl/inference/single_site_random_walk.py sha256=FpXNuRd1DNjCjJ8PlWA6mKvrgZAsIeyItVLUKsa0lkQ 1385
beanmachine/ppl/inference/monte_carlo_samples.py sha256=-ZqWLqSUa0JkyUJkZlsYpJ6pjlsP_TfMXg5iGi9A9Co 11400
beanmachine/ppl/inference/nuts_inference.py sha256=JV1iZK8lzHzxh-SNOTTg8llOXiG24KBE59pHKqwlA8o 6450
beanmachine/ppl/inference/single_site_uniform_mh.py sha256=0PLD_RyZeNnDfgZtBfZT2M67wGKyILj955n18992nh4 689
beanmachine/ppl/inference/hmc_inference.py sha256=rlSjpBLlAxDiFGVUhMqt21WoqMIvNQlA8nQPki815EQ 5009
beanmachine/ppl/inference/sampler.py sha256=hp1xbieUhnSxvdEXaPZAvN8I098Gq_rATbq_NSuTdjE 4364
beanmachine/ppl/inference/predictive.py sha256=s9m5Xn_c_-WYJFGKon7ZrEZ2CfdHNpvZiTIo7jZrZIk 7613
beanmachine/ppl/inference/compositional_infer.py sha256=Ypg0eDSiNMsoVQdBuvi0pje44WZsCw6r-tIJ4sHqpqo 9901
beanmachine/ppl/inference/single_site_nmc.py sha256=C1w8RrPpPJ5MVm3MmY_ma0GCJ1kCSYSrx4k2x35i760 3569
beanmachine/ppl/inference/base_inference.py sha256=OopDXstRPTGOKlgxd_JaXUNzXN37enZ_BMtrD63UKfs 11549
beanmachine/ppl/inference/single_site_inference.py sha256=BVgKR-KAfthE5cUhFHhZBPWUfJjqXgBVeqoSrzYP2x0 1432
beanmachine/ppl/inference/utils.py sha256=rZlRl0QOOz9EVku7qOSONF9QwdsLALuRUPkN2IYnKEA 4951
beanmachine/ppl/inference/__init__.py sha256=_uTP0bioSVGjhIAxvqN6qa214oXhWlt2SKJh1k_eSjY 1586
beanmachine/ppl/inference/proposer/single_site_ancestral_proposer.py sha256=vWudx_Ga70kIDDstVIDB5pWXVOx9kYKjqtvj6CO8iYo 640
beanmachine/ppl/inference/proposer/base_single_site_mh_proposer.py sha256=5tYDpWZvc6V-Tk_-l4ZWreAIUHL-Q1M-5n4FQluLJrg 2801
beanmachine/ppl/inference/proposer/single_site_random_walk_proposer.py sha256=RI2EuWR-o57uGlGLGzP5grvl1pXqK78JxhOQHAQbXmI 5535
beanmachine/ppl/inference/proposer/base_proposer.py sha256=08w7r2kwkbWzg117yNDaryYyLVO428go5eGF1NECJqA 606
beanmachine/ppl/inference/proposer/nuts_proposer.py sha256=0i0Ai0x3yLZdRvjSQq3gnPIwQIw9lKF_j1I_WkrVbg0 13181
beanmachine/ppl/inference/proposer/single_site_uniform_proposer.py sha256=7h8NTEzuHKruNG79M6ipyCTrpPIpSSTznnVUhzco8xY 1119
beanmachine/ppl/inference/proposer/hmc_proposer.py sha256=GJmTWvtbO9Pjn7AhnEiCVbL_3fHTb1kOnUxEZNvcXhc 14353
beanmachine/ppl/inference/proposer/sequential_proposer.py sha256=4Btx72vGCYjOuB48jiJSYHdhEDidxspgkQFJPQ0NHoE 1287
beanmachine/ppl/inference/proposer/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
beanmachine/ppl/inference/proposer/hmc_utils.py sha256=xxfWFcO6QDRv-1dryCzYwNk_ZCvTVYp4PLkZcSM7xds 9624
beanmachine/ppl/inference/proposer/nmc/single_site_half_space_nmc_proposer.py sha256=zu7nOmvSc1gRhv5Rw6DCpFCZiQRAVI5c5XvL1QdgtQs 3977
beanmachine/ppl/inference/proposer/nmc/single_site_real_space_nmc_proposer.py sha256=ZuRWgLLU25XZ1do96p-oRSIwltgLgAeh-9-De1h2h0c 9822
beanmachine/ppl/inference/proposer/nmc/single_site_simplex_space_nmc_proposer.py sha256=1Ox08Q291DfD_XvB73adeahqZAgboCXrFGI_VNt6Mg0 4046
beanmachine/ppl/inference/proposer/nmc/__init__.py sha256=8d_Zu7OnIzqmS9-oDa764P0bAGpTpY65VfdQfF4Sfns 699
beanmachine/ppl/inference/proposer/nnc/utils.py sha256=Q6EO49Kyw0j8RA7w8DVEtu9c3WTU2kNvrQn2P544gUU 1190
beanmachine/ppl/inference/proposer/nnc/__init__.py sha256=xF0wTxDXA0miBSCz6AxmMPrJFzNa5AJYExMXOfc2dwY 1185
beanmachine/ppl/inference/vi/gradient_estimator.py sha256=8RZz25yXLxnJ6b72z2KrgCSd8QRUOgyC7CfaNVMZTTo 4340
beanmachine/ppl/inference/vi/discrepancy.py sha256=_ZW1ai-ba9yH0gcsEjk5H-Jfx5Ry9D7r77EW2ZJknDM 991
beanmachine/ppl/inference/vi/variational_infer.py sha256=Xow_kcQTDaeZ4fKvkpIrq9qKU3KV2Xj2QfcuOouLLC8 5746
beanmachine/ppl/inference/vi/variational_world.py sha256=5PSKzwXAKzpBGe_vC9LADQOJJb-HVjVU-XMEynL-Pbo 2781
beanmachine/ppl/inference/vi/__init__.py sha256=hCgw9tNS9pvChShmINQpmBgvbuQU_OcGWfALZf1rSlQ 323
beanmachine/ppl/inference/vi/autoguide.py sha256=9NezhgJFrXwCsjjTwFiSlJCo1jWCMINjEGoqfcZQaiA 4148
beanmachine/ppl/compiler/single_assignment.py sha256=7o6iFyyyCmw8XewfHydjFdndLKXDwgOdYzlkxCBQyq8 89477
beanmachine/ppl/compiler/gen_bmg_cpp.py sha256=WPdPEVga2DehObrGuXJjxcpev9jBb57jOYzVWJNofd8 8272
beanmachine/ppl/compiler/internal_error.py sha256=A-CO2SDtjWdPTs6QtQIIoovBjM0upKFK0Lybk5pN7ps 3157
beanmachine/ppl/compiler/sizer.py sha256=vxShx8OLsL3LCrTsGNFBBsWYfJVVjqq9VX_g87EqnEc 14100
beanmachine/ppl/compiler/gen_builder.py sha256=8yZwVRwjAet3XDy-_voS01FNzb5T-Drs4ooc_XVkblQ 2316
beanmachine/ppl/compiler/tensorizer_transformer.py sha256=DAnTIuEu_5rMkT9eLvGTKqK-i32_ZntAWY2VYjXvWU4 7469
beanmachine/ppl/compiler/fix_arithmetic.py sha256=y5URrlVMaWJN0Ix5Jyp8C004HnKZxXHNRWvfrQaFFqw 6866
beanmachine/ppl/compiler/error_report.py sha256=kDWGbmx93kuxs-HRc69RhBZ6HobGiJ7hyV4MRnsFNRc 7560
beanmachine/ppl/compiler/bmg_types.py sha256=hmc0CtXgCM6wFqVZNIeRyrWFxd41FZDagdCKK4Cf0kw 29397
beanmachine/ppl/compiler/fix_transpose.py sha256=c4Cb6EHLetkKKPwy8OjIFIXwtXf_rMQmWQxXCqciwNc 1203
beanmachine/ppl/compiler/fix_beta_conjugate_prior.py sha256=vW6J8h-3whsCH8VqfV6TzgznljSDfiZ9BtN-Qq3z6NY 7415
beanmachine/ppl/compiler/patterns.py sha256=57n-12dfYm_gSF2skSU1I3YeMfTA7KmeR9NoG59xI8o 19575
beanmachine/ppl/compiler/gen_dot.py sha256=ek7zFyMcHcu-11bp7vqY15Uy0ZlqVAx06PghzK3F6ZU 3301
beanmachine/ppl/compiler/fix_bool_arithmetic.py sha256=8dWCTuJwtkisIGcSFDLI6VAgOTZ9OeRyAvfIZEUTrV0 2740
beanmachine/ppl/compiler/broadcaster.py sha256=QOL49phjiB2lR5XZp-HB89zzIJusabraE5aCSgwFLZ8 3906
beanmachine/ppl/compiler/gen_bmg_graph.py sha256=j5gsaP_vBxcCLBoJ72dcbErGtTBfcRpAQ3YlZkXy8MU 6209
beanmachine/ppl/compiler/special_function_caller.py sha256=757e7Tp3ielS2BjTorwlwl1r92nbHgnnkJ7uGDbIcmQ 50636
beanmachine/ppl/compiler/fix_bool_comparisons.py sha256=4FjJz2y8Sx-DC0DJx6hnC9R6beST6MOgYiuKAJDeu4g 6708
beanmachine/ppl/compiler/rules.py sha256=NALxZ-byn1ypDNAHmIvKQal9Nam0BdQjrpjZz41qTtI 38806
beanmachine/ppl/compiler/ast_tools.py sha256=A0-sRoPaSYMwc-VRIR2d8PPD15gfNsXZhTmzgCsnqbY 1846
beanmachine/ppl/compiler/copy_and_replace.py sha256=dXAJhnzuiLqMZXEOLzx92-DVOEKCuGLDZY77YpQA1h0 9084
beanmachine/ppl/compiler/typer_base.py sha256=k-Th5IpSG1z0UNYBbHPLaRhdCZQ_hDrgZpOicSeeNf8 8689
beanmachine/ppl/compiler/bm_to_bmg.py sha256=qYvPv7jGFqw_s0d8qOYi1XP0hk9YQK30fopMR-3P4WY 28293
beanmachine/ppl/compiler/bmg_node_types.py sha256=iiPf77XbA48e5j4hgzcMaRC-iBzCXlhZlQA_W9T8SzQ 4574
beanmachine/ppl/compiler/performance_report.py sha256=JZtSZBZSxhg8frsz4Ig1TTj2WsjOLC7ceSQN7O7gKCw 1568
beanmachine/ppl/compiler/fix_multiary_ops.py sha256=qgQ2x3aq_R8aCjeFbo_cURRIet30zokwlqZN6xut7PI 6431
beanmachine/ppl/compiler/fix_vectorized_models.py sha256=UyC7_ZBJ9NLcAeMRP_neixAkozpcqyfMoJ3IaqGSgh0 16239
beanmachine/ppl/compiler/copy_transformer.py sha256=_HkFcLS_WDwljc-gDS99eoeOt5KuA5XLf1SvnU2gciA 1943
beanmachine/ppl/compiler/bmg_requirements.py sha256=M8Lx4fxYXp5y9dL6WbiRda0Bg43sLZnLhL0soJJ8plY 19750
beanmachine/ppl/compiler/fix_unsupported.py sha256=ZJ3ttvfSAr4d2Oj85uJiZUSzFILy1ZZvXNdJqKweFV8 18049
beanmachine/ppl/compiler/fix_problems.py sha256=T0AQ32NxJ-9yzTJJFJ-p9CJZPjVpzxlxkLLK3p3i28k 4917
beanmachine/ppl/compiler/profiler.py sha256=WUdFzI0nuZWzX1VxdkP8QglCgv_Q8jox2PONTtluASY 4651
beanmachine/ppl/compiler/bmg_nodes.py sha256=KfC7evUlkTJGED7v0oKTfastsRjMRbrDiZHqFJCepC4 48041
beanmachine/ppl/compiler/bm_graph_builder.py sha256=QqO0YAhTf4PbvyQd2l5d6Y8Es7PfIPxBNpPAT5bAQbM 41818
beanmachine/ppl/compiler/gen_bmg_python.py sha256=0kU0vcXusAuA3CdLEfH2OqSmfIMjNcjUsiyzSi1dqhw 7121
beanmachine/ppl/compiler/fix_requirements.py sha256=y9-7bcVWFKnOOSPkIcbap2QAi7LQ18mrUFy6TwLwGlg 23644
beanmachine/ppl/compiler/fix_logsumexp.py sha256=zCMYFmRlAI_q-ns0205Lmsz3Z_V72lRDihfBT-mVc18 1061
beanmachine/ppl/compiler/fix_observe_true.py sha256=dnmx3SZi6dmG8-5V8dnkqOWO6sjC_MOIa3tC0FZRCio 3207
beanmachine/ppl/compiler/devectorizer_transformer.py sha256=fqPhApa2jLOE5WNTM1TidZsVdLcIrnxq2DaKG_H9Gyk 19910
beanmachine/ppl/compiler/fix_matrix_scale.py sha256=mn45eCziUpkBe1lDxlrihQav3VAIbIh5GnSSMwGDgPw 3731
beanmachine/ppl/compiler/ast_patterns.py sha256=Ay5fgPA2rZLSrpupW6PdoRCwBDvglKTUC8c5ACLmtCE 12012
beanmachine/ppl/compiler/fix_problem.py sha256=mN0A1LNVkKeMKtMyxnKExbyJ3R_hraVawFXWz_0phvY 10567
beanmachine/ppl/compiler/beanstalk_common.py sha256=QM90FzcgnFqUqzhFlKNAGVR3KBnIDXpV5o71W58Un50 548
beanmachine/ppl/compiler/graph_labels.py sha256=LckVrFhwLtyi5xVvr6e1fyYVKyy_gIU7Vk_qZv6ew50 12543
beanmachine/ppl/compiler/fix_observations.py sha256=9esvqkE5xjFJG8dA0hKhwl2hV6V9ys8Bwf2pPX33s1w 2068
beanmachine/ppl/compiler/lattice_typer.py sha256=Q7nYbfPbj_Hph1OgJ7LMMgZy6HtI3UFGrFkmMGGnMEc 24027
beanmachine/ppl/compiler/size_assessment.py sha256=M5cp5-v66nSGtdJyvBUAtvOTod6UpISYxFLYos0jSlM 3048
beanmachine/ppl/compiler/execution_context.py sha256=8GNVnG9uln0jjTcAF0W1Bkwf78mCcUGP3_MZ94oILc4 2948
beanmachine/ppl/compiler/gen_mini.py sha256=9OKRVZz2tX4_7C87hQWqWNYq--hgvyZ4ddB5FOxUBFc 7533
beanmachine/ppl/compiler/support.py sha256=qM-7RRQGbKUoDO2lgTf9woVPIvB7Qu-sC6N6WXjsuFg 13249
beanmachine/ppl/compiler/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
beanmachine/ppl/compiler/fix_additions.py sha256=diZ0FaoHXx0az1Att0zAx360GrM7tKyq3PT_3ZEb3JM 2368
beanmachine/ppl/compiler/runtime.py sha256=aqFKgBZwWedNm1ihAgyql_G18zcbBHx9diLHoINLnqg 30079
beanmachine/ppl/compiler/fix_normal_conjugate_prior.py sha256=bvwBWFG74kzti5wk3kT70FgvngqXpIrOHieLOI18oNY 5331
beanmachine/ppl/compiler/testlib/conjugate_models.py sha256=MQ9LPDCLhA6TYwYaIN_gnCS6zMgeYjccgkyyOdnEzoQ 1439
beanmachine/ppl/compiler/testlib/__init__.py sha256=D9ECsap08rcUtHyaR111nTjArlKkUjQwP8usXwXAAVQ 179
beanmachine/ppl/diagnostics/diagnostics.py sha256=uck0D0xnXmnB28XMQx1CIZIlFFroE2agGqYoGg-nXlg 11552
beanmachine/ppl/diagnostics/common_statistics.py sha256=lztF1vFQvVdX5oA5UQaepLS2GAsaNy5xnCCaqiJBmSA 4653
beanmachine/ppl/diagnostics/common_plots.py sha256=aYdAaKDZK-WHfaHpDp15wrHJgcnfvXzXPofTYKmTLY4 3289
beanmachine/ppl/diagnostics/__init__.py sha256=YK7VYugdotR60ooXT9rzE3Xbc0hEcVu2WZDHdeZSjRo 391
beanmachine/ppl/world/world.py sha256=2RUosPRoUW57diDTrbVUdJAPwwJT724ZTNY9rRqhkMo 9690
beanmachine/ppl/world/base_world.py sha256=bv4Bj_TnPHMr8oXGasOSMJM1VtVNGDeGiQ3dg3NdgzY 1614
beanmachine/ppl/world/variable.py sha256=SFDoR_8n78_fauIhIZEAl2jIojVmmdEH2N4Fmh07KYE 1469
beanmachine/ppl/world/initialize_fn.py sha256=9kl9Nw3bvgwZ63-66qz9zKoGktqrkNiMPlyQf4r36V0 1726
beanmachine/ppl/world/utils.py sha256=Z1p65ZSUZOhk4aE9ZNFjKZ8GAhpa7GmonVHMBicc22E 5678
beanmachine/ppl/world/__init__.py sha256=3vKOjzYWgPe5mAJeV_u3fNTcLi7zgtVqXPTgYfGibyQ 690
beanmachine/ppl/legacy/__init__.py sha256=D9ECsap08rcUtHyaR111nTjArlKkUjQwP8usXwXAAVQ 179
beanmachine/ppl/legacy/inference/single_site_ancestral_mh.py sha256=nKZew-MjWiDQyzh2tZFIgA0VVlJnKNYmQ-HCcPFrBYg 1102
beanmachine/ppl/legacy/inference/abstract_mh_infer.py sha256=EomBwfdVksvG1NQnfX14b10ZIKHAVHUbLyiFZbm55GI 17163
beanmachine/ppl/legacy/inference/single_site_newtonian_monte_carlo.py sha256=zDqCZfCYYTDDdF6-tri6_jFC64fHeSG0MD_MNwcuGh8 1702
beanmachine/ppl/legacy/inference/single_site_random_walk.py sha256=7gl1koQpF8r3h-V0LLW_3wazBPZ4Tqbu5q3mUK0GP1U 1306
beanmachine/ppl/legacy/inference/sampler.py sha256=l6uJFm4y7TyBXmKtg4Gq7IP75hhMG8BRpzQCwZGZ-Pw 3220
beanmachine/ppl/legacy/inference/compositional_infer.py sha256=PcRroq7NMrY6xRbul8K-eavAlfpn-GvpPPr5peVdpnk 4670
beanmachine/ppl/legacy/inference/rejection_sampling_infer.py sha256=zeowjgY2SHP573sPdvB4ktsowXazWJsFhqnHP8bv66I 6574
beanmachine/ppl/legacy/inference/utils.py sha256=UFcaLi5evmcaDvrRDuX9Oq5ietkHZ8T3EMDZMmuKsn8 916
beanmachine/ppl/legacy/inference/__init__.py sha256=gzxvzsTE0s9kDJtDhyahH02UAr7T9T8OiDHHMneDqbw 871
beanmachine/ppl/legacy/inference/abstract_infer.py sha256=xe7CXu3tDQZP1Jn-P2qzD6ZEeHjJFbmRBdgqiV0IZTc 7288
beanmachine/ppl/legacy/inference/proposer/newtonian_monte_carlo_utils.py sha256=_z-AaiL7WGGgXkBLsHv9j22pvcVNDE9p_r27Q4QO380 5019
beanmachine/ppl/legacy/inference/proposer/abstract_single_site_single_step_proposer.py sha256=cGYNhRx3mnvYCN9_MhPOJj5oZNzdp107lhqrwMjJ9Ec 5406
beanmachine/ppl/legacy/inference/proposer/normal_eig.py sha256=rTmf0kL4TFAr-QexNfk041Js-8uXsU3UsPgivLHHAF0 2375
beanmachine/ppl/legacy/inference/proposer/single_site_ancestral_proposer.py sha256=mIjKIQ40UrQR7EWWYG_pRolMF-yGsu17yoRwlnnK0O4 1682
beanmachine/ppl/legacy/inference/proposer/abstract_single_site_proposer.py sha256=TE2OLJ5l82gm6Qo87wmaLc40VLAKA1JX6B-eteuss1I 3540
beanmachine/ppl/legacy/inference/proposer/single_site_real_space_newtonian_monte_carlo_proposer.py sha256=dO_jMUJmRXQhA-auIH0vRdqCwd6wpbu5FErPJuqdhMc 11721
beanmachine/ppl/legacy/inference/proposer/single_site_random_walk_proposer.py sha256=M7bu6zjFwEtgikle22m4XJmV1cGYD2Da1G_mSM8zKfc 9280
beanmachine/ppl/legacy/inference/proposer/single_site_half_space_newtonian_monte_carlo_proposer.py sha256=ujrzQ4RlLXL0jyipfghoLXqm-m4PqX0CUEr46HyJhq0 4812
beanmachine/ppl/legacy/inference/proposer/single_site_uniform_proposer.py sha256=4PlwxUHLy-2zW_CPvpsXmNcXfVfmxMa9n5BGcMqczaI 3215
beanmachine/ppl/legacy/inference/proposer/single_site_newtonian_monte_carlo_proposer.py sha256=4oDtjd-RvCvdwsfEhbTw0NfH4k6YJFFY2yZ1lcrgTBA 6596
beanmachine/ppl/legacy/inference/proposer/__init__.py sha256=H_oIassE0-6D0SPuCPEj21fRJI86VKxHj2tPKWKC8SM 542
beanmachine/ppl/legacy/inference/proposer/single_site_simplex_newtonian_monte_carlo_proposer.py sha256=7zdJ7XGr50g431E240WYkaymrFbw41xQwCJXJT1hibU 4706
beanmachine/ppl/legacy/world/world.py sha256=vPZMNzHB3I--wYqGG4JA3oP9XOwtjBdeINFykamiZLE 30099
beanmachine/ppl/legacy/world/diff_stack.py sha256=OZloF0RoV12rePspYSn6Ap9Fk_anxgzFhQhfYy3Kd1g 7221
beanmachine/ppl/legacy/world/variable.py sha256=ssPTmJ80K7PvOuJ47wZwQZCHZQpFrmURI9i4jrFNABA 7706
beanmachine/ppl/legacy/world/marginal_table.py sha256=slH2eJ8wIUsMadlyztRxOWo7wt4gzgtMidhO1k34eIM 1764
beanmachine/ppl/legacy/world/diff.py sha256=lWAb8BZIDMrLBWmjpTE2kVXb6soexrOtuBbYyn9qhww 4084
beanmachine/ppl/legacy/world/__init__.py sha256=rv6pFK6hIZMh2DHS9fkWZCPaNCXx-0LM8H4JUD40r6o 701
beanmachine/ppl/legacy/world/world_vars.py sha256=sNPZE2cHbKmeT_RaH1NoGqa34KGz71eH0Tey7IzVA9Y 3928
beanmachine/ppl/testlib/hypothesis_testing.py sha256=n3lzg9hQ7cii9zyCw0TVBW-4xnj8JSxZ98ohT1W-7V8 6448
beanmachine/ppl/testlib/abstract_conjugate.py sha256=HiAsFtLh0iE2_JKx_TbEK2upN74-HyyoBgmEUQZYzqI 16992
beanmachine/ppl/testlib/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
beanmachine/ppl/experimental/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
beanmachine/ppl/experimental/gp/models.py sha256=x_54UdGjIcgbmk66Dq749jszjtemCjfZURF1jsRzZ04 4959
beanmachine/ppl/experimental/gp/kernels.py sha256=iKrvEGs5RFBHDj_qGnK4EUjYjgz9KfHd1UD0GuLgROM 6559
beanmachine/ppl/experimental/gp/likelihoods.py sha256=gCF3MMupH6VmHMq6MNIPzmAyRuVjCrfMNg6AmSYPzrc 4461
beanmachine/ppl/experimental/gp/__init__.py sha256=qjkvTctdKngUt-2WfRS7nEMmFUkySyT3W_PTxysrmLU 358
beanmachine/ppl/experimental/tests/nnc_test.py sha256=63PKFLT00eMNEGSTp_aMWyKZH_IgypkQ0QwxA0q2q14 1470
beanmachine/ppl/experimental/tests/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
beanmachine/ppl/experimental/causal_inference/__init__.py sha256=D9ECsap08rcUtHyaR111nTjArlKkUjQwP8usXwXAAVQ 179
beanmachine/ppl/experimental/causal_inference/models/__init__.py sha256=D9ECsap08rcUtHyaR111nTjArlKkUjQwP8usXwXAAVQ 179
beanmachine/ppl/experimental/causal_inference/models/bart/node.py sha256=sV06mD0xR9gTKqIk4E0KIFjQHBltHoLrTJr3eu-9JVM 9363
beanmachine/ppl/experimental/causal_inference/models/bart/scalar_samplers.py sha256=2xreRF0t73rtHLQayGjwQ4WzuVwbPQXPFO78JR5azf4 4560
beanmachine/ppl/experimental/causal_inference/models/bart/split_rule.py sha256=gATKnTGSMz0s5zHMST_JmQUP6QwDMZY15EfSTuqwlUk 5295
beanmachine/ppl/experimental/causal_inference/models/bart/grow_prune_tree_proposer.py sha256=gY1R8rmuQ956LXvsc_gAcyYPxeAhAPQOLagn6PoUUD4 22025
beanmachine/ppl/experimental/causal_inference/models/bart/bart_model.py sha256=PIcEqSu_5YVsacKloT7bnHd8j0fI_FL1V90LZbfZPZg 23417
beanmachine/ppl/experimental/causal_inference/models/bart/mutation.py sha256=oudP9EJRtYkqtEuKOA7ihKl0puvi_HshNzuCWRgviA0 3158
beanmachine/ppl/experimental/causal_inference/models/bart/exceptions.py sha256=B0KOAmZ3giAOa61c5R-fRSMGTNghGPqB2uACrjTYBUU 903
beanmachine/ppl/experimental/causal_inference/models/bart/grow_from_root_tree_proposer.py sha256=8-sT01XzevbREbzT6ZHxFTiWj_z8Ip-aljIS147xKz8 19711
beanmachine/ppl/experimental/causal_inference/models/bart/tree_proposer.py sha256=hGrlR-29gefTnTXnKFAv551v_8TtH6llXH0ZDY30skc 413
beanmachine/ppl/experimental/causal_inference/models/bart/tree.py sha256=IpW-hlnQAeoYJnqJADoNWGU3kB5XFsqFfyhQxCgqLdE 4834
beanmachine/ppl/experimental/causal_inference/models/bart/__init__.py sha256=D9ECsap08rcUtHyaR111nTjArlKkUjQwP8usXwXAAVQ 179
beanmachine/ppl/utils/item_counter.py sha256=sJqBBiIvV0xJ-2WuhxOxEsYGqcPyFA7ez7Q4PUOElf8 892
beanmachine/ppl/utils/equivalence.py sha256=xy1VOgrsdEvY8lFd2RRp2QqiwjEHwomXu2RgpEifcjM 1053
beanmachine/ppl/utils/dotbuilder.py sha256=lqp_UDeKq9Zw-XeL2bYqIunQqmjwTlIgWDsv4YN31Ss 8329
beanmachine/ppl/utils/multidictionary.py sha256=WGL1pZwpy28QrRCXMBeUfNL7MHN9ERdBU4cMySqCwUs 1219
beanmachine/ppl/utils/memoize.py sha256=lHoyffiIzVFryRZC5KjDtxZ9sqGMKt4GIG-ZBbOaKtE 6503
beanmachine/ppl/utils/treeprinter.py sha256=_OAG4VUgVvCk6t1BQCluF4tcZ2FRDnjiiYJwfaX51uY 3215
beanmachine/ppl/utils/set_of_tensors.py sha256=-dyDOY3yDkI8M7s78sGwblZyk77UEQpsInydx-5m7g4 1422
beanmachine/ppl/utils/a_or_an.py sha256=zHTOpFIKzyhUW1Cm_UKQUkdFcuV5QIK-Jmj9Z5srldo 831
beanmachine/ppl/utils/graph.py sha256=9emU4fqo_il_tFazRv1Rj4H748o7fZwTwOCGX6CZxYE 11642
beanmachine/ppl/utils/tensorops.py sha256=Aj4uoGbQ7dbD4R9uQB9P0hcoeX2EDhr2a6iPmWgs1UM 3007
beanmachine/ppl/utils/unique_name.py sha256=OPaSTrAmfa7TVqQglzyxpPCXXb6K5jWLWSU5PYPdTVg 1279
beanmachine/ppl/utils/__init__.py sha256=WQY2ftBJkbw8wsTMIchahpZmyIlSA-BC5N_rJi-6hQU 667
beanmachine/ppl/distributions/flat.py sha256=YLcJbBXG227FH9pb8fVN1Wbo8iZzH0Ub0xP0K4hr-kw 860
beanmachine/ppl/distributions/unit.py sha256=SJPGRv4I9oFK9mpCSwlYpAiyQrSRBKY6Nnjs1HGh60s 2478
beanmachine/ppl/distributions/delta.py sha256=W77HwVsGWLzxOA6wmT7aLutnRYKYBqIiZAylZzp5yuc 2789
beanmachine/ppl/distributions/__init__.py sha256=g2NS3MtMuhVc5fBtWfmK0GfBTJVfh_edO450dBahdIw 376
beanmachine/ppl/model/statistical_model.py sha256=eDp08u7wBjpnMHxeYFGMkpWxDvGouPbEqgiLGmF7Rgw 4496
beanmachine/ppl/model/rv_identifier.py sha256=tbjc5O5N7icC1KGzVNRdtDumC86foYeq_r8tMQ6bjT0 1319
beanmachine/ppl/model/utils.py sha256=8fJfEcA9Cn9jQ_QK862a6soXnLwPwa9BN6ruq-tZCjA 1158
beanmachine/ppl/model/__init__.py sha256=AQxRKRansVTypQET8fTEWmsfOpWAVbYuk3wLrYuvx94 613
beanmachine/ppl/examples/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
beanmachine/ppl/examples/conjugate_models/categorical_dirichlet.py sha256=TB_kkPoCQp6AG4Pjlt5DxGAEuY1ByG_mUI0iOuED1oA 616
beanmachine/ppl/examples/conjugate_models/normal_normal.py sha256=9yWHLThPEpodU6AYroNmKsE8wxSxVU7ZoF07GwAnbR8 685
beanmachine/ppl/examples/conjugate_models/beta_bernoulli.py sha256=YXO6x3mCW1dgFBy9XDc8bifGm9d7_0JDBXNq4AjmcsA 644
beanmachine/ppl/examples/conjugate_models/gamma_gamma.py sha256=p5HePWJHAgeCGfFganYw_hSzqqH8LYN2f2gSemazw0E 694
beanmachine/ppl/examples/conjugate_models/gamma_normal.py sha256=EWTEUDbJmhGeFC358DJcYrpIrpgml6OB2YNtwQAJtT8 795
beanmachine/ppl/examples/conjugate_models/beta_binomial.py sha256=dOYqh6uS7EEacpiEBlMKIzcgF9Oe6lPWKImyY92-HJo 1201
beanmachine/ppl/examples/conjugate_models/__init__.py sha256=XEjndq45HX3o1YiZDEosJVnLJEuLjemjlbv82mNcdqw 775
beanmachine-0.2.0.dist-info/top_level.txt sha256=jbDrm7vt29Y9lZcA5eqdG9fIplojsBUQ4g-aCqWAqhM 12
beanmachine-0.2.0.dist-info/WHEEL sha256=FNUt4eBsrBVn_Yc5KG3aXtKE40X3uNZrbGLNCbVxyFw 148
beanmachine-0.2.0.dist-info/METADATA sha256=_ZXzBx7Jvz08NFn7_ADTt4eTsAxL5b3O-iJ5p8c_xdQ 5327
beanmachine-0.2.0.dist-info/RECORD — —
beanmachine-0.2.0.dist-info/LICENSE sha256=2m03A-0Ry-Qr0hLHJZV8mNojy_8ZmMBfpLPZdtGljpM 1088

top_level.txt

beanmachine