bayesianbandits/__init__.py,sha256=Uxqnu19BOmSw6jeHm4ZY2AfgJFjK3K4rVHC_vNS3Fvw,4280
bayesianbandits/_arm.py,sha256=1Pcr_gCAwkKUJZX8wugfugAfqkU_SwFKFdPKkvHphwg,24206
bayesianbandits/_arm_featurizer.py,sha256=BSSQFGV8OWR9A_ALuBrHCwtyvba2QNH_ReQ4W6YFhK8,2293
bayesianbandits/_blas_helpers.py,sha256=xt_eowiqok7T15ZE38vpAPyv9j4BSldlRlD6hG52l9A,1562
bayesianbandits/_eb_estimators.py,sha256=QviskpYGSNz5zSoHYbDy0N0jsKvEjolfzrC-6dsbK8o,24724
bayesianbandits/_empirical_bayes.py,sha256=dCom2QPjKmSejBKQkBK99v6tZV-KsqVmUeZoLjkVlfc,12643
bayesianbandits/_estimators.py,sha256=3zoqaxomC0q_YcGgI7wBF05_MRcKX_AQTjEWrEDULxk,81521
bayesianbandits/_gaussian.py,sha256=BhLP3fzQKZH3uohZHosOnFcgKb6rrL0a0HEmhPAFXpE,15477
bayesianbandits/_np_utils.py,sha256=tML16vVMpF-f7Q9nGZOb_5zoho8eFz3TYEE70rCMbNY,1283
bayesianbandits/_sparse_bayesian_linear_regression.py,sha256=IhIRPCPGFrD0hIm90e7Q2Lr0xeeE-cS4knmvFRgthks,12632
bayesianbandits/_takahashi.c,sha256=6MNtJriMNzJW3_mxODy-j2yIAjvv5fRKrRnCqvvSOw0,1052938
bayesianbandits/_takahashi.cpython-310-x86_64-linux-gnu.so,sha256=Gc9a7bvCmUABYvdAK-Akn1C9KoEzy6TkPO2GgmjeqKc,1110256
bayesianbandits/_takahashi.pyx,sha256=gUWP5kkSg5_udwOaF_ItieGt2EGIpzqPu9FvN80p9GQ,3253
bayesianbandits/api.py,sha256=ZE_bIA5-OLSHkk0BKp0VrBlXU6YMWFm3-_p6TISVA0E,48683
bayesianbandits/featurizers/__init__.py,sha256=aiJJwqrfh1ZcLqGkZe5G5-QswNwcPMb1FQb_EsoBLEc,215
bayesianbandits/featurizers/_arm_column.py,sha256=qdovKDOVmtRCGndmJYKSULfxrV_j6Fz5z48PYrtNK-I,5986
bayesianbandits/featurizers/_function.py,sha256=H2DyLhlDvHhGHjniIHAqFJg0R1hRf-NwWIVMRF-_J48,4297
bayesianbandits/pipelines/__init__.py,sha256=Mmai7JUPPtqCfbBkSFdmFX9a_1Rr9oE2u5gPmOcSGMI,776
bayesianbandits/pipelines/_agent.py,sha256=Fwd_xqzQS41udN53hLVZ6gPzsSV2jWSmlUV1oqNja7E,17071
bayesianbandits/pipelines/_learner.py,sha256=G0RW3yMOtaMs0O8RDlWpuUiAgo_HekiPDI4Qv718w1c,13594
bayesianbandits/policies/__init__.py,sha256=viZP_cLsKtHiKaC3jAKyhG7Jl36cfRgmy2g5k3pPsHs,277
bayesianbandits/policies/_base.py,sha256=5cq_EkOgIk-IINqVlaWUWRY1aXlPUBlVl75I-sOBrUw,693
bayesianbandits/policies/_epsilon_greedy.py,sha256=ZDwze7ccJ3gYtdXWmyiI9_1c0TwGF2JYyYk6KXKl9FI,7524
bayesianbandits/policies/_exp3a.py,sha256=GkjOu-a7rv6GNvvH7IN1IUIE_JDulb5UEgg4lpuv-yw,16498
bayesianbandits/policies/_thompson_sampling.py,sha256=BhjN4CnkPjA3O0sAjxEwklhCS4fb83Kre1axxpprKJU,6255
bayesianbandits/policies/_upper_confidence_bound.py,sha256=UWZr6TEXN2TzuZDo2yFI45NSyAlIppjVH7QTmL0zD40,7101
bayesianbandits-1.3.0rc1.dist-info/METADATA,sha256=ZvgzRbTUKEjPrW9JzJjQb9ieMxfeHqkYMr_4Kj-9bp8,4792
bayesianbandits-1.3.0rc1.dist-info/WHEEL,sha256=OD1n9T0_RQ56Ur51ER3b5xoN-Y-taUmZArUyjp32aEQ,112
bayesianbandits-1.3.0rc1.dist-info/top_level.txt,sha256=WFUMaJACfg8sQ6fxayboeaYdQ7xUNhF7tEFN6ka3bbs,16
bayesianbandits-1.3.0rc1.dist-info/RECORD,,
bayesianbandits-1.3.0rc1.dist-info/licenses/LICENSE,sha256=XRiQ3AEEg67W4_O7H1kxzGDkZu-FG-N3qpjXRd_avPA,1074
