nimbus_bci-0.8.2.dist-info/RECORD,,
nimbus_bci-0.8.2.dist-info/WHEEL,sha256=W9vNsxHtuPjBar6tWy08iHBg_jNK-VgyOpoyoNPwHv0,136
nimbus_bci-0.8.2.dist-info/top_level.txt,sha256=ih_oNe8NND0keHgOXz85_3tQZmB3lEWCAyTn-TwCV0w,11
nimbus_bci-0.8.2.dist-info/METADATA,sha256=8rxlYLMtvsqU7Vg1OYXmwjjDFcEVFydR8ueoJuujeCA,38245
nimbus_bci-0.8.2.dist-info/licenses/LICENSE.txt,sha256=2iH7VeNKKK-_xle6AP0Th1RRx11HTzLvgQaUH-KkC14,21306
nimbus_bci/__init__.py,sha256=y2WT3rooss-RddgiIbSugG4H1m7mZigtgXcoY7xLPCM,4794
nimbus_bci/nimbus_math.py,sha256=jyu_21pZcYkml9lKT97Rf7351ZVGuMBFfD3JfgfbgTQ,1008
nimbus_bci/nimbus_io.py,sha256=qTzq79wvV9fNsqQayKOS6mtk0DG-jLTt4jDnBgg7v7o,4798
nimbus_bci/py.typed,sha256=daEdpEyAJIa8b2VkCqSKcw8PaExcB6Qro80XNes_sHA,2
nimbus_bci/riemann/__init__.py,sha256=23vHkYqFOfS3HbqmHhyIOaO8S5BrMzwBNW7GzBmNYY4,962
nimbus_bci/riemann/encoder.py,sha256=6ZBdteytBSrnvIp1uTt3PppPbeOIrkUsbKOq5ojaBtc,21684
nimbus_bci/riemann/recommend.py,sha256=_kPuGnpn_0od_xiVeC8Bw6xlOIN3qhPv4cZnFOCW0E8,13636
nimbus_bci/riemann/pipeline.py,sha256=k1cvCX_ROu1izg87FeFESEXuIpERVzW2T9V6sy9ruBY,5420
nimbus_bci/riemann/tracking.py,sha256=hmIKWmIXz3jYgEStpOQDMeaG8t53jvyjHmhgyTVH7ag,10276
nimbus_bci/metrics/units.py,sha256=C8cfU2rQX6sFKoijqG3NE8HWNHsre6Gog64iaKhf6TM,1239
nimbus_bci/metrics/classification.py,sha256=J6SmzDAX6e_si7qXKI2tNY4_MJ_bF1tmGfUrvvDxxkY,22453
nimbus_bci/metrics/diagnostics.py,sha256=wj6X4jm9W4LFPvCpeWl5sL4wzmTPrwDt4CERPXneZ6Q,11826
nimbus_bci/metrics/__init__.py,sha256=4q7EGAD1pN3jjxzbKHM22M9SWZ8tsNVbnG-RhpgqLSo,2431
nimbus_bci/metrics/temperature.py,sha256=eQS5Y0lUOyRUmtGOW_YeUgCDOtVv5jBhK5hKdTnEqMc,8057
nimbus_bci/metrics/trust.py,sha256=HAgX8oq3y1lTwmXdT67Pyie9CwEaBJcef9WEqcTxieg,6849
nimbus_bci/metrics/stats.py,sha256=DiUovaM9HMby6T8kdY0WknFjP0bbUXncNreIjvaDYkg,6101
nimbus_bci/metrics/alpha_temperature.py,sha256=JxwzdVvU779mY544djJy-twd5Zj3-rMnTl5zidR5vZ0,19630
nimbus_bci/metrics/classification_uncertainty.py,sha256=xSTZ8Q5zmw6WbC9iD9l8I_7GK8ONRV5xQH8JIc8d9BA,11322
nimbus_bci/metrics/performance.py,sha256=8OqNzUQkDA1ULqPiycHJytbwlnJYyaFu01rZnIoa6jQ,18824
nimbus_bci/metrics/quality.py,sha256=eRXXNrnm15IIZ53psoEX3wSdSyGmLlyKYKmkOhnSXi4,15676
nimbus_bci/metrics/calibration.py,sha256=RpzgLQyjvITEL7rLVLUwrFLsZxWMtsnnmo0qVhf_iHg,10769
nimbus_bci/metrics/_entropy.py,sha256=9pId5un80Y9ghDWHhAvqM9WoQZDvJGF3l9rNofG2lQA,1792
nimbus_bci/middleware/p300_session.py,sha256=mHIAYxW05VTi0bqPRpw3pYLxKvpT9Dgjkf8qQS4-kcg,11824
nimbus_bci/middleware/config.py,sha256=u8aZ941PkmaQYKxHX21iP4KfBHEfJ0AmMhZdcg1tycs,12055
nimbus_bci/middleware/_cost_measure.py,sha256=TPGZ8T3u-y_kuC6QtadNV4wJFA3RAhNFqYcnFwZiWDU,5085
nimbus_bci/middleware/evaluation.py,sha256=1NyZnbjsYxkoIw1S80JUkr8uNKxRx3thaNi61AUXTZU,46509
nimbus_bci/middleware/population.py,sha256=F84-HhlZ1eohOLSs--Yq5q8nXgbh2cgeWFl0hTVy73w,11461
nimbus_bci/middleware/mi_session.py,sha256=4jV2KkqQ-ZXzcpoEh1Jr5L1us4VAAGDgawdVu9sz4nk,23970
nimbus_bci/middleware/__init__.py,sha256=FCCNR6wrcbYGmpsQS9FmT2zHFMNbFCJPLwcyUZiTnyk,3936
nimbus_bci/middleware/contracts.py,sha256=cNylnjkoN07QapOrpInqay3-tQgN5z0YlqeknKXy2hg,14362
nimbus_bci/middleware/wrap.py,sha256=tvSDU0kzG6HX5bgXGn6m2NA7iQWsd6MGaHufUtEzGII,14375
nimbus_bci/middleware/policies/adapt_gate.py,sha256=0TTNhVBlgdx5w_GoJNyFfhYtDHk9zapa01UbeH5MON8,32493
nimbus_bci/middleware/policies/__init__.py,sha256=C0sA0thF5UBWPpIpTwxYQeVC6KKbYLwZO1bANwxWqio,486
nimbus_bci/middleware/policies/decision.py,sha256=IRQiddXlzQ6QEFZcnoPZ4Y1fSWt8FqBbXOYj6s7pmKs,24062
nimbus_bci/middleware/policies/adapt_arm.py,sha256=UUy-n5WIfL68GlJsXZQDl6MhDQFf_SrajdarB6ynbqg,16991
nimbus_bci/middleware/adapters/film.py,sha256=shcYgWNdPxC8DiliDHE4VuYsWdKsZ2zxBYD0p7eqgJA,16193
nimbus_bci/middleware/adapters/eegnet.py,sha256=l6U_RK4CSnWISVJoztfi3MpDUznYukOR4HBvze4hgpo,3591
nimbus_bci/middleware/adapters/__init__.py,sha256=da-4LmPj18SZkfmzQriVAurRsdLhJsBXmt5-tU4fmFw,1096
nimbus_bci/middleware/adapters/_validation.py,sha256=suzQb8h_2dDhGmbkhsgfDu_sE1vM2hNsh-_pJcqTuWU,13048
nimbus_bci/middleware/adapters/braindecode.py,sha256=YAIbNJolJ0qjvhsjESupKAWJ5YyK9wMHBJJ3WdA3OgE,21843
nimbus_bci/middleware/adapters/balora.py,sha256=KE2N4_PTy-XEo4jBjqzuf_INILn3l9-blNGUseJEiVc,35958
nimbus_bci/middleware/adapters/lora.py,sha256=L0g0tz2U8GiMBgbMg-Zundtbi6pDK0_S5byNR7Ohlzw,17327
nimbus_bci/middleware/personalizer/_base.py,sha256=P4fcV10xUmn6b6k385QVD3QuVEuLRSWKYDsWkxGtmPM,9748
nimbus_bci/middleware/personalizer/_persistence.py,sha256=3wDm2EG2xjgzPhHzuZZ5Gu535CH_zuP18J1nx2-63s0,12952
nimbus_bci/middleware/personalizer/_evaluation.py,sha256=3uUZs-GjlNN1VxuWuxJ5kMbKOxbkJsn8Ou-y6pUR7NQ,19874
nimbus_bci/middleware/personalizer/_recipe.py,sha256=c2_YciPQVhb2ojQ6x8Vw6VtJznuI0x5BaH7pHdPU0kM,1868
nimbus_bci/middleware/personalizer/_errors.py,sha256=PyHqWugxD_fwliqsJS0ZkkJ5dZT_xQtGa0ikFU76yeg,735
nimbus_bci/middleware/personalizer/_profile.py,sha256=1wdD_f02uNLrslhU8qJ3qTIG-76hSyBMRCjecZ7o8RI,20324
nimbus_bci/middleware/personalizer/__init__.py,sha256=B5hcCR5RuiiDM7THtCUNn5MkxP1g8RMVXweI6VxEeqA,44694
nimbus_bci/middleware/personalizer/_core.py,sha256=MTrQNIbjCR8PsdmhXUpCKRIu1mFMEllzXEBv7VxpQ8o,22376
nimbus_bci/middleware/personalizer/_async.py,sha256=st3lKm6eAEvO0iKebVyv8d8tDpcQK5tr0uoZqCINWlA,16178
nimbus_bci/middleware/personalizer/_fitting.py,sha256=2lCxex8D533Bu7eh2ulkhCAsRBuQCOYJpxyYummCzT0,64773
nimbus_bci/middleware/personalizer/_snapshot.py,sha256=LFlYxgKA7cjwpL32NFePlkzTTgrI9Y-H29D0b_iSsvs,10001
nimbus_bci/middleware/personalizer/_adapt.py,sha256=bKt97ObLIhnOv4f34JDdoUl1bUtK58nmhflWcdbQvZw,11593
nimbus_bci/middleware/personalizer/_prediction.py,sha256=J9alLCSH_MiXeZ0cXTgE87CCf0xOVx-YYEG79ddG8ls,24067
nimbus_bci/middleware/personalizer/_trunk.py,sha256=9BUgKUC9J7CWZx1MSPNsWPEGyWoujdZoyMCS4JGAYpQ,41032
nimbus_bci/middleware/personalizer/_helpers.py,sha256=v7rEET2--j4qDL_CWZ2RsG9w5CIKpSu9umEdoAv-sc0,21358
nimbus_bci/middleware/alignment/transforms.py,sha256=2susEjYd61O6SZMbCcjWOnLWcen6XiykMZSY9bYmSFA,89763
nimbus_bci/middleware/alignment/__init__.py,sha256=0ybYCJpDmUC0Z77mDEiN-Q6UUm19gxtSWiVWN9KRH4k,269
nimbus_bci/middleware/alignment/realign.py,sha256=BjbqUITIrhWDRQVHqv_cyqiHCfgzy5f4hCg5E9i0OKk,18095
nimbus_bci/middleware/techniques/t3a.py,sha256=I7VPx75irfWvF4KPtMRQqB7UXdpGWgIpvl-dub3vGKo,15664
nimbus_bci/middleware/techniques/tta.py,sha256=kMH6r-7_sbexHPMW_gX3TfkeyQMdizPEmdkHRXocZvE,15496
nimbus_bci/middleware/techniques/__init__.py,sha256=eSNtHnODpTdIbcIaexMCritl--yTBJUWGYG1NnEOJFI,436
nimbus_bci/middleware/techniques/trainer.py,sha256=PQsaAzFZ2bVoeZ3tZ2iA1Cy5EH6VQE0MKDqlEBuBFsQ,49578
nimbus_bci/active_learning/bald.py,sha256=Vhfdu3Bk0iG_jcpBipRRoWJFW_4mOICFH4_Quxb4kEQ,4084
nimbus_bci/active_learning/suggest.py,sha256=AJ5G1MjQEV0xLafv9tZqm_4R24NGnQBXZgYUMAL1I2Q,6027
nimbus_bci/active_learning/strategies.py,sha256=ipx4DUKNs_LjceB4nxUzalEULeYrm9-AF-1ICzxQs_g,3534
nimbus_bci/active_learning/_adapter.py,sha256=hGNC25ktPIV4JWuWjCpwIIfj2C6Je3Zt67q5IBUA_-E,1912
nimbus_bci/active_learning/session.py,sha256=tAcKF7NOXbmxcazPngojxWxQWkcjIV0CG-VjFWZ2x8A,19161
nimbus_bci/active_learning/__init__.py,sha256=T_lq5zI34loVLFJeS47Bq2wxLqUaZ2lxNh0jG_cRmHc,2632
nimbus_bci/active_learning/stopping.py,sha256=LOZBkzM5ljhy-jSimGZl61NagBe9EO7kmk28GhJGsjA,9354
nimbus_bci/active_learning/streaming.py,sha256=QdW-QeqpG8xp1-jIEfKM0-yBGdU4dgCx7W8bw3YP7s4,4496
nimbus_bci/compat/__init__.py,sha256=x4NeShVqXxPvBN-QwA1TQJ2ksP9XiC-3cNEjc0YaudA,1784
nimbus_bci/compat/sklearn_compat.py,sha256=NH1dRZru4_jpQ5qwvfACw6_TuMEAoqedyUR5pa0NKHY,14439
nimbus_bci/compat/mne_compat.py,sha256=kgzcUSENJC344lydeSL-mDF5PZSP6W-__zDKX-mCJno,24122
nimbus_bci/utils/__init__.py,sha256=G3IePdXFb10BM2dFhHbOF8iijmakBmVyvmd9AIXTkc8,941
nimbus_bci/utils/feature_aggregation.py,sha256=JSgnlIybAMTe3-J_59e0DEfq-z46myZXqPIp67qpEVI,6629
nimbus_bci/utils/linalg.py,sha256=5wxRKCJ2EM2XgP1H1kpmDXa1f5SZwXBjtrBPxq4BaME,3468
nimbus_bci/utils/normalization.py,sha256=3358O9Ko7vHLHZc7ZoMkCDuj7udN3AjRa5_R-sNvs5A,9728
nimbus_bci/utils/preprocessing_diagnostics.py,sha256=0THHMUxfLNKeiSMhwXeqiZjWcQTqLLnEGCSAurdaT5I,10382
nimbus_bci/models/__init__.py,sha256=LVDLZpQkGgnP3D4JUWE6cbjbvoa4SZFmYm3GCHBsImM,2696
nimbus_bci/models/base.py,sha256=TDM98wKegNqUhbQccW950w9I8yriqvQrRsx4IriAspc,537
nimbus_bci/models/nimbus_lda/epistemic.py,sha256=tmf6ZIVAHrgRj4nz41ZMvm-Poe8qhjJHGXdLhl4Fzzw,10330
nimbus_bci/models/nimbus_lda/classifier.py,sha256=Tz5SgsTLczkSj-NEq2Ka6nSblvOZY_wuGMO7PghNY0s,18663
nimbus_bci/models/nimbus_lda/inference.cpython-313-darwin.so,sha256=6hrVYq7yskrLFo4nioijbpcJwuDhqtCVXf3PdL_mwcE,152656
nimbus_bci/models/nimbus_lda/__init__.py,sha256=zAQlCxKyBjRO8dWq5SqBNgjCGF3bEwBD0-8mJwX3HOw,387
nimbus_bci/models/nimbus_lda/learning.cpython-313-darwin.so,sha256=Z67OvS5ZSC-yrc15MtNR4FP5Slno-mb4iXkb6JGdCNo,223168
nimbus_bci/models/nimbus_qda/classifier.py,sha256=U63PUC9uNYMAw-bFH06geAHfkLjbSqcnH8QgsMJL-8o,15487
nimbus_bci/models/nimbus_qda/inference.cpython-313-darwin.so,sha256=RR1k5YmQ_w73z-4UiVolVhiI6pAPz-fVFnINyEYdybo,152432
nimbus_bci/models/nimbus_qda/__init__.py,sha256=j3CaoB65rtZrGBDDZgojIMmfXrPqgD7DHEO7dV8HhTg,295
nimbus_bci/models/nimbus_qda/learning.cpython-313-darwin.so,sha256=BsZ4J1CGOAGsfuWRkVgb5futeLrHGKYfssyYz0b8_kI,239408
nimbus_bci/models/nimbus_sts/classifier.py,sha256=s4QeOwksFmi-sxPgisB5llAMBCq_vM8pA4j7_05_Co0,17635
nimbus_bci/models/nimbus_sts/inference.cpython-313-darwin.so,sha256=IrNBtDRoCLVl6QZa_k_emzA7GXiZVHgLado0JcHgQOc,152288
nimbus_bci/models/nimbus_sts/__init__.py,sha256=R3Rsk0qxeIqZZaA0c42sOlck5R1-ENTV7JR3_C2w5Ek,518
nimbus_bci/models/nimbus_sts/learning.cpython-313-darwin.so,sha256=FF6BYI7PAGqefwyqNHntukR95DAjHn97UMWmhJ2z7r0,170128
nimbus_bci/models/nimbus_softmax/classifier.py,sha256=DjpxgSZu_vaDt3MlAz4FalPIZpCecYaIFSXRulLqyP0,18740
nimbus_bci/models/nimbus_softmax/inference.cpython-313-darwin.so,sha256=dXZ7B2CgwFmDE__pfHDcCLQGSbaOOREDt85MWJfurC4,203632
nimbus_bci/models/nimbus_softmax/__init__.py,sha256=rO7xbi7V1EBNTKS9o9OPzRBv17D96N9Z9leVw439vb0,510
nimbus_bci/models/nimbus_softmax/learning.cpython-313-darwin.so,sha256=doQEzi1LPTt-vezlMYW97ca6uHOE3-8QLQW_Ujbm-Ak,270576
nimbus_bci/safety/config.py,sha256=-T76ifL_yh4JC4tspV1wdTIRo85IdWtG8q9oGMxFy_s,4569
nimbus_bci/safety/monitor.py,sha256=RXz-XiMQm121k1nwhHaSY7Dl15N4BI1PbzkyAV8g9Fg,19050
nimbus_bci/safety/cusum.py,sha256=mnzWTmorsFYO-uVo5VgW5sZIORn1InODav8-rkQu_kQ,11652
nimbus_bci/safety/budget.py,sha256=8pxj7ljlJ1cct7SkrP62iEc_sX8RYh7tC-KLVaFBfJk,9206
nimbus_bci/safety/drift.py,sha256=tpBbC3bDd16rgmIz263ZcNjSAkTawsKKgs_ux726V1s,9199
nimbus_bci/safety/__init__.py,sha256=1VE5lU8dFWqmx8wXqRl32RR08BIKyq2_1yuJ85Z9sAE,1874
nimbus_bci/safety/governor.py,sha256=v8fZ_WwAcdOW-ZfDocrnGN3bIxVbKb2YHsfnTZ7Flis,13608
nimbus_bci/safety/errors.py,sha256=7oHz2EB9iZjblcBUgOBzX6n11DCzik0XfMzxQxSFy6U,1444
nimbus_bci/inference/aggregation.py,sha256=x09hS7S7IdJlIGruhtkpyaMn1qoeoAn1-GzHsq3LBsI,12317
nimbus_bci/inference/posterior_sampling.py,sha256=bC4Y87WikKZ8l0oVS34dG1ZXCxxu20uXyDr6LRxDMcI,8997
nimbus_bci/inference/dispatch.py,sha256=sd1vBSIgI5GPmNdtY3zj-Q7XOVbDOKgWXuePfKVR2rA,7031
nimbus_bci/inference/batch.py,sha256=x7Efu0zvOj6LdwrdKcg7yubPVnBC1EFSywoN6hqimI8,16086
nimbus_bci/inference/__init__.py,sha256=GdR0wD3tWB1mk5ZNfnKkTN4fjXUjPTffRLAuAtgsMtk,1242
nimbus_bci/inference/streaming.py,sha256=KxuK0CjGqOutLOEvtFg8b6GZ4_KdYssU5cOORP_tez4,13224
nimbus_bci/data/__init__.py,sha256=VgfvwnOYQJ8nA-aXOQhMD4Jam5TxdF9dc6RrbiucNEU,376
nimbus_bci/data/contracts.py,sha256=beGYuDUSXYo66SPIvfNkXU4gdqcvoH1KD-sJvNYwNXU,12196
nimbus_bci/data/validation.py,sha256=lwb5aS4vhvHi1HndQqFQ3gmMc_Zje6vpFV9z7iZZ7Q4,11394
