lrdbenchmark/__init__.py,sha256=bKoDF3n5N1Xz42tq1TMz5AHTRK5GSr-j3ngVThcRHvo,9767
lrdbenchmark/_version.py,sha256=irlcqH-v4r9N3-J_5TEW9jB1rBYr2QemUiXJvsF9BHo,255
lrdbenchmark/assets.py,sha256=jT0X3kO4pEOcZxKBPgxUernGNs4pp7DFy55uELUY8mU,8644
lrdbenchmark/exceptions.py,sha256=iEkth9X3FK0uOAvnK8kV2OziZhSJ6q-BZN-aHTeFUik,8303
lrdbenchmark/py.typed,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
lrdbenchmark/random_manager.py,sha256=LFMOdh8qsy2lkeIO4IHuYMZqZqmZ8PEG_-Y6Snva0t8,3154
lrdbenchmark/utils.py,sha256=WXVq-ZV5pDt-hhAM7XK8nTJVqE8LmIaXsu_1ymRF3C4,9250
lrdbenchmark/analysis/__init__.py,sha256=EEYqdNC11u85hSOqbiY3cvYuXGU7vmLf2AFXS78pads,758
lrdbenchmark/analysis/adaptive_classical_estimators.py,sha256=XObSidcAWgHWY4SjVJB6DWM4_UH_Hz_1Etvoj_PKpsM,21502
lrdbenchmark/analysis/adaptive_estimator.py,sha256=CP4PZUQMiBidpDnsrEihcpUDPN3un3qIwIlDfevT8PE,21833
lrdbenchmark/analysis/advanced_metrics.py,sha256=7ebFZz5rjdvaglAvJB97IDO6kfD8t_H78Slk7HFoW6g,39296
lrdbenchmark/analysis/backend_utils.py,sha256=rsnKAn6kkRJElGvu9_4Dbxy_-xPWrx-ZNvuo0Ho0uxk,3278
lrdbenchmark/analysis/base_estimator.py,sha256=3LLKISL_h0WblGG_ZMod0EcPPJS4lR8YLX1LqjWRZQ4,2185
lrdbenchmark/analysis/calibration_utils.py,sha256=POsGnDyaE9wG5MeSYxZlkgTY89BNfVJE1dypcI7BIzE,1648
lrdbenchmark/analysis/comprehensive_adaptive_estimators.py,sha256=HZX3YMWBZZDIaB4uFiZSFGGsDpmbMZwAK016a3bPJQs,34105
lrdbenchmark/analysis/diagnostics.py,sha256=AjXMliXc8SPubM94YZkXnbk3Q9a4C3S6rwG39qFdnoM,44781
lrdbenchmark/analysis/benchmark/__init__.py,sha256=eSttmyp5iPIFb3_0jK9Ia9y7OcO2chDiEj9UP4odc4Y,200
lrdbenchmark/analysis/benchmark/engine.py,sha256=ufhhnrM22N-FZEK71DdIK4GzxXSSwP7uBx47yjBgX4E,137263
lrdbenchmark/analysis/high_performance/jax/__init__.py,sha256=8QP8B-OP3VZfykd-_uoy_u_PxaxITnYRgBTMFyyGQjM,1252
lrdbenchmark/analysis/high_performance/jax/cwt_jax.py,sha256=puNgveqsfrcEJKbuJ_C5ZvYboDaimfmaVh4-FLYe43U,8693
lrdbenchmark/analysis/high_performance/jax/dfa_jax.py,sha256=BO-BG1_pl9gIioATDdGwmL2qUGR8q-oy6Km6BmV1gaY,15224
lrdbenchmark/analysis/high_performance/jax/dma_jax.py,sha256=bJ3UVzJj9jdRSzno_RBz3BVlUiCgB2Lximtnu58mTkU,15113
lrdbenchmark/analysis/high_performance/jax/gph_jax.py,sha256=HM_CHXK_BQlpnQrIxxUJaPlAjTJAo-Ra_PeTyJQLpA0,10587
lrdbenchmark/analysis/high_performance/jax/higuchi_jax.py,sha256=ZwgzrWxqJa-9OcMI2K18gO1iCXAYWPQYSkTmX_zrGbQ,14625
lrdbenchmark/analysis/high_performance/jax/mfdfa_jax.py,sha256=tmjB2C2UONoFSTn9wWKPn7Sg9LM-d7QIYklTp7ZJhpk,10574
lrdbenchmark/analysis/high_performance/jax/multifractal_wavelet_leaders_jax.py,sha256=97loMbNg6L0GkuhB3eVf2pujMzEz5vHUPe3a_R2EMO0,11039
lrdbenchmark/analysis/high_performance/jax/periodogram_jax.py,sha256=AMBFs1G42ZezI8tFR6Z9hmX8Vt6fnZjHzyVCODut0M8,14523
lrdbenchmark/analysis/high_performance/jax/rs_jax.py,sha256=jrmbyFIKVXx_LCVClaLOxrt3S42D0wHL-hewdHYwy30,13624
lrdbenchmark/analysis/high_performance/jax/wavelet_log_variance_jax.py,sha256=pfVLrlXYN7hv8zMGoBOSd6F6G1_aACHad0YVXbE1hkY,8795
lrdbenchmark/analysis/high_performance/jax/wavelet_variance_jax.py,sha256=u3cDr9h34Kwl5i9EPY8EU3OvR-gtj09-wsbo-mdGBjM,8640
lrdbenchmark/analysis/high_performance/jax/wavelet_whittle_jax.py,sha256=pQh9OfZOvDzlc6vDu4PSvW5_X5UtT3UOmxNGz2HzduI,8391
lrdbenchmark/analysis/high_performance/jax/whittle_jax.py,sha256=XV5mK-FC1chKrL5MrFbJ5I6zVjFlIoo0ZiTAZCPYbBI,17471
lrdbenchmark/analysis/high_performance/numba/__init__.py,sha256=wSGnqjkoAjS6A3XSx890vFkrlWZu7rK9bvhTdLWPSlw,1321
lrdbenchmark/analysis/high_performance/numba/cwt_numba.py,sha256=hsSKgTyoMdJe3FixfjUmNLcWmmjeg3AOio1Gfg2pGso,8513
lrdbenchmark/analysis/high_performance/numba/dfa_numba.py,sha256=G0zrjKFWhnadOJbU6Wc9JPdC_ZKaAlyRA_TCa6Rw-gg,14439
lrdbenchmark/analysis/high_performance/numba/dma_numba.py,sha256=XRLw22NWnyqJ-l-A8MFJpIO3ihygfr4b-ejoo4mlhwI,13692
lrdbenchmark/analysis/high_performance/numba/gph_numba.py,sha256=WT_iJXWmlHBXMJPs41WO_kr7H3N1u4xtdeRJUfB4CxU,12076
lrdbenchmark/analysis/high_performance/numba/higuchi_numba.py,sha256=6qpRFW6jmv2Y---nIUMBxwyo4-NZ3cOF4BEuIEEgaok,12804
lrdbenchmark/analysis/high_performance/numba/mfdfa_numba.py,sha256=qVG747g1sY-u6pA1TekW2qC1XlrvXpWjDHjH6Pdb_wU,11443
lrdbenchmark/analysis/high_performance/numba/multifractal_wavelet_leaders_numba.py,sha256=bqeaHkuZvbD1xg8I_VJfeyvAQAmaZzViptd_lpjzJpI,11790
lrdbenchmark/analysis/high_performance/numba/periodogram_numba.py,sha256=AKXXsYE6ponu2HW_6MTTjI7-In3EantS3DUhTlYbL34,15972
lrdbenchmark/analysis/high_performance/numba/rs_numba.py,sha256=bvx3mixA-g8HcrxGWLswnm5Aam7bOCoNCah3b2TZoy0,13130
lrdbenchmark/analysis/high_performance/numba/wavelet_log_variance_numba.py,sha256=p2rWlf-2fxtg7eUW9viOBl98tIcxerjWNTWbCLfWHZc,8558
lrdbenchmark/analysis/high_performance/numba/wavelet_variance_numba.py,sha256=T_UzWeTOSUe2aisVnm2Gi3X6ctoVvyR0oFpkpeyMw1s,8407
lrdbenchmark/analysis/high_performance/numba/wavelet_whittle_numba.py,sha256=wV7l5-UdqrFelYFMRSmmXs225_GWhcoeCrsQlbppu1s,7957
lrdbenchmark/analysis/high_performance/numba/whittle_numba.py,sha256=5RBcZ1uMPQ_WMzJVQ2CqiyNiXrbDG4ypWsmxGyAtC6U,19855
lrdbenchmark/analysis/machine_learning/__init__.py,sha256=Mo9usOhB39ZYH8nPgsQBoxWZLTE2DigFz15GQK_oQfw,1474
lrdbenchmark/analysis/machine_learning/cnn_estimator_unified.py,sha256=V_5wYHWsxdzh6_rol-VVPk1jpWgzxX1tnjZ6YiaKKDU,16329
lrdbenchmark/analysis/machine_learning/gradient_boosting_estimator_unified.py,sha256=t_Jblja1kSHjH2jC7aMogLGi1OO9mj9-UCz1YqVQr4E,8527
lrdbenchmark/analysis/machine_learning/gru_estimator_unified.py,sha256=SZvsxYs-1WNV-kHrVIFSOTJnMbbDVivNH5jEQyKrrTc,15940
lrdbenchmark/analysis/machine_learning/lstm_estimator_unified.py,sha256=iZc3XXmmgphSfQ_Le5G29fT_ijuEYVBHeJERCnDjym8,15976
lrdbenchmark/analysis/machine_learning/neural_network_factory.py,sha256=dX1erdM4auvqi7HoonCO4COlx9_swohBmbgdNKQpaUE,25725
lrdbenchmark/analysis/machine_learning/random_forest_estimator_unified.py,sha256=1s7r1vj9V8vz_FQS8HUxuR6pnBgiub571r9viOyWM6U,8454
lrdbenchmark/analysis/machine_learning/svr_estimator_unified.py,sha256=WgZ_1mduDSNgWrvNQ_RVeRBYfYwahkxPdcz9JKKDeHU,8288
lrdbenchmark/analysis/machine_learning/transformer_estimator_unified.py,sha256=tqLCGUqah5ht4jLaL0ie8II8DKyojMDnH4tj_jibUh8,16373
lrdbenchmark/analysis/machine_learning/unified_feature_extractor.py,sha256=fx1ZtAy_prh5YND172yhOmbtBpenUsBbqVgfKDO81HQ,13913
lrdbenchmark/analysis/multifractal/__init__.py,sha256=z9GAyyLRTjL1vB7cLOEP0CDTDK_wzgDRtc9HliJ8qkU,389
lrdbenchmark/analysis/multifractal/mfdfa_estimator.py,sha256=aC5RGkAd_BwyWb5XxylC-PhdJzl8pOFigKjsWk6OOtw,5049
lrdbenchmark/analysis/multifractal/wavelet_leaders_estimator.py,sha256=Q7r_pKBWSI_3ZNKwbukB6tsYDuEhvQTOlhnUN3FsxKE,6243
lrdbenchmark/analysis/multifractal/mfdfa_backends/__init__.py,sha256=deX3xaDENrqz4qx3vUVp7dIYbARtA-ESmDK8MYDGjlw,20
lrdbenchmark/analysis/multifractal/mfdfa_backends/jax_backend.py,sha256=2REdEsuOeFflSEvzbfXSZ4scqEQCPfIeXW9a6zxsxik,3990
lrdbenchmark/analysis/multifractal/mfdfa_backends/numba_backend.py,sha256=jjpgOtKmR8QqmzqlWYJukKHsmwuD3yYn4Ux9Fmg1zRQ,183
lrdbenchmark/analysis/multifractal/mfdfa_backends/numpy_backend.py,sha256=nvrjMkBFrF9IzaeTyEJK60UX9_eBwUnyZzLJmKslecE,2614
lrdbenchmark/analysis/multifractal/wavelet_leaders_backends/__init__.py,sha256=_BXxjJvOhAsqlIcAPVG0MYBgaXwxFNAnYRYzoYxeYsQ,30
lrdbenchmark/analysis/multifractal/wavelet_leaders_backends/jax_backend.py,sha256=2iE4yys-M1SukTyXFW-nL2tL6rrr7VFtEdiTDkvV_V4,6594
lrdbenchmark/analysis/multifractal/wavelet_leaders_backends/numba_backend.py,sha256=auf6oQI8INOA70ErDbu9IDcYXu-LpicIHFvS6suFRnY,171
lrdbenchmark/analysis/multifractal/wavelet_leaders_backends/numpy_backend.py,sha256=uG8QgB6Wg8aR2LREyjx8Slq0ZIpyk2yKc3qWKKC7zn0,3733
lrdbenchmark/analysis/spectral/__init__.py,sha256=JtSks0wxagEEAh8llP5mKDPSpw1v7adjfwQxdUE3DyI,495
lrdbenchmark/analysis/spectral/gph_estimator.py,sha256=7PfDc6Rafq2OAbNAjbLfl1JL4bDUpnSW3_lyjo9ncco,16605
lrdbenchmark/analysis/spectral/periodogram_estimator.py,sha256=CNJkiIjifmssov5nfDRPJXLel_iGxzsVkW9zJRueOLg,8606
lrdbenchmark/analysis/spectral/whittle_estimator.py,sha256=UIXPtg_I5WkZmUbDB9heo_lczOEpGy7IpClXNrWrWAg,8912
lrdbenchmark/analysis/spectral/spectral_backends/__init__.py,sha256=jpbsF2bzQWnLVkWGLuoVuaXIuMblkXzWQwg2BO7ohWs,32
lrdbenchmark/analysis/spectral/spectral_backends/jax_backend.py,sha256=nBBQbJzfvswXHnDFs07hgjE-QmerPCbBaPZyGnYerRM,4149
lrdbenchmark/analysis/spectral/spectral_backends/numba_backend.py,sha256=BsNC8eRg-To4LsKKj-IC73uqKBROJAsRBNvDSnBOqtM,421
lrdbenchmark/analysis/spectral/spectral_backends/numpy_backend.py,sha256=vshhyFqOmViuGGcqj3Ki-A-dJlsYn4BfzeTbXNGWCVc,2729
lrdbenchmark/analysis/temporal/__init__.py,sha256=jbs6w__jj0wXv_268aEHLMIPVziQxMKEQu_KmfS1E0s,562
lrdbenchmark/analysis/temporal/dfa_estimator.py,sha256=SYPlRxbGKl3whMVhr9C1pOAtcflX_FrTyvgLhCSsQ3o,9480
lrdbenchmark/analysis/temporal/dma_estimator.py,sha256=1Lz4W1nJZFyWqqeVfwxn2gLJiHBlxhCm58iv2yXuhYY,24577
lrdbenchmark/analysis/temporal/ghe_estimator.py,sha256=AW4S-FHk2J4Mi2K0YSIe4P5mMbJ7-kai0wY3AykutqQ,20346
lrdbenchmark/analysis/temporal/higuchi_estimator.py,sha256=cGr27KE3UHV0SmOpop2TfhwGcvoVfO51YWa5cwUq-CQ,12355
lrdbenchmark/analysis/temporal/rs_estimator.py,sha256=cLOzGSjOpkGwnhqezu8sproH4X5WofNgRc4aq7sKY8I,9406
lrdbenchmark/analysis/temporal/dfa_backends/__init__.py,sha256=JbkwvrkvJss-nZ4TKSeWpvGqGHRKPXPmacT8SxOwth8,18
lrdbenchmark/analysis/temporal/dfa_backends/jax_backend.py,sha256=HNpFrNJ9zYbAl5C8FfYL3x7zm8mVEMJjDdtbLm8uXsc,4989
lrdbenchmark/analysis/temporal/dfa_backends/numba_backend.py,sha256=x77wtwEqKikp3HpAeZTY0dLJ_RZT1vtcOgV8koFUS2s,6319
lrdbenchmark/analysis/temporal/dfa_backends/numpy_backend.py,sha256=TmZSCPYwNF2ZMSmec4enfOSPkwCWVoAysHn97VnxC0Y,3684
lrdbenchmark/analysis/temporal/rs_backends/__init__.py,sha256=GXP3AjFKfEJyV4inmXW2etp_yBlz8x5nNanTCZ51rTs,18
lrdbenchmark/analysis/temporal/rs_backends/jax_backend.py,sha256=1px7MFU4OpUvguDQraxKJFce-mY-uA_RqqDkoICbNlE,2188
lrdbenchmark/analysis/temporal/rs_backends/numba_backend.py,sha256=hk2QxysVSpT163qXaS4G4vua6o1356ureJozsu0I1HQ,4376
lrdbenchmark/analysis/temporal/rs_backends/numpy_backend.py,sha256=MDaHl5n3nOrXlw5DB4gqRGETwfB8IuL30u69c-0u7u8,2075
lrdbenchmark/analysis/uncertainty/__init__.py,sha256=pANx7d418UUFriJ7pSCGaMeihA4g_ROt8fXbYVq55Ns,736
lrdbenchmark/analysis/uncertainty/coverage_analyzer.py,sha256=UTPHnQiHo8weMwCJgCYHQWAPY68abPNoefMoJq9xgJ8,12764
lrdbenchmark/analysis/uncertainty/quantifier.py,sha256=OEY3QNKEuL6tmfvpEVGuaHXIBxiAkdN5vbtjMs7wOJY,19482
lrdbenchmark/analysis/wavelet/__init__.py,sha256=Fw9Bnk-rXjo2yOFR52CqExjGPMlOmM6mESB9JtVeOXc,559
lrdbenchmark/analysis/wavelet/cwt_estimator.py,sha256=9dnMcJk6G7jCksiz4ZZspG8DbMQaFtlUo41yIAgHuuE,25107
lrdbenchmark/analysis/wavelet/jax_wavelet.py,sha256=ITde9KU4ZaNkTiWCq68Ij-hRas1wbb9RYJNVV9La1tQ,4199
lrdbenchmark/analysis/wavelet/log_variance_estimator.py,sha256=j-G79aYFW3SQ2CAKaeDyRhMyxQaVVum_i4n4ftkmF7s,11237
lrdbenchmark/analysis/wavelet/variance_estimator.py,sha256=EeUg_VoeSBf_cFirRuu09MBi8PsY5K9Xr04T4h8mqsA,5753
lrdbenchmark/analysis/wavelet/whittle_estimator.py,sha256=xECbXemlfqUJHUDrwZvkgbleJSzwhdWkN6Zr6irOgUQ,23595
lrdbenchmark/analysis/wavelet/wavelet_backends/__init__.py,sha256=Ra8UZ80W2p1oPs7lhsrvUkQOhgZfqUfm1o2h91swy0E,31
lrdbenchmark/analysis/wavelet/wavelet_backends/jax_backend.py,sha256=KmhaGmE0tow45-KrtgnFmwGowHVO9UocpMWVSTjCz0w,2019
lrdbenchmark/analysis/wavelet/wavelet_backends/numba_backend.py,sha256=bczxgG6xW6q0ilJnVQEJq6IWv6qm7lnvU9WuYXdoMe0,292
lrdbenchmark/analysis/wavelet/wavelet_backends/numpy_backend.py,sha256=BK5HEYauR195rq07QPWpWmARpE0j4Ap3D9ZJSqzQJBo,1787
lrdbenchmark/analytics/__init__.py,sha256=a5hXfwVkoxe5aRWW31oolSYLKpax63JqtXkboZvZlaQ,1530
lrdbenchmark/analytics/dashboard.py,sha256=s0dsOmxgGDvr_6Xxe2fIqMRKVrn8bRXMzh_RVJKexqU,37684
lrdbenchmark/analytics/error_analyzer.py,sha256=d-sQHUH-QDW3z29jgtN1VsBkzh5aMM3-xgSXEaKz6qI,28248
lrdbenchmark/analytics/performance_monitor.py,sha256=5c63-yHPOcFzlH8xtTKABgB_adRHi4DYIFbLjjwKejw,14487
lrdbenchmark/analytics/provenance.py,sha256=L95SjVuhdj5G2pQsKZdRhtFDKCrAFzFAbO7urr2nqwo,19030
lrdbenchmark/analytics/stratified_report_generator.py,sha256=fuX74YmHaFtcVhSJY9fTQYAbtgby97kDm_0xRwqwZ3k,34082
lrdbenchmark/analytics/usage_tracker.py,sha256=FqkQ8dVWwHrwGwE8LwL7hwv8gXopT1E6CqAfphjG9rc,13774
lrdbenchmark/analytics/workflow_analyzer.py,sha256=k3Wm5TUvN6DTmCA84lFanPi14qpNUjRGRFLC_rSK4qw,18878
lrdbenchmark/benchmarks/__init__.py,sha256=suOFRkiDZlKBlQM-lpyGtYQGcVHqIKQAFuAdoJfr73w,310
lrdbenchmark/benchmarks/base.py,sha256=r9BSKjrMN56niFeylEFd95Chjw-wVzwKUFKLa1nVOuY,5494
lrdbenchmark/benchmarks/classical_benchmark.py,sha256=fxT_bOqpQPaGEbb-JofSmugbpRC0mdupe91Hbe-3xoQ,4053
lrdbenchmark/benchmarks/comprehensive_benchmark.py,sha256=pE6VKmXli7ESe1BBnkVM8xq-yNLMbmqpPi3woBpvwNY,1841
lrdbenchmark/benchmarks/ml_benchmark.py,sha256=beXfQKHWU_OeCCQ8PXTB4RADsVss0bDOkSv5_FITBYo,2830
lrdbenchmark/benchmarks/nn_benchmark.py,sha256=Rp617iRYCXEcHIkz-Gm_U3DwUheOBz5BfNvLhkmLmWo,3605
lrdbenchmark/domain/preprocessing.py,sha256=22Xw8KTTOc7F7DMeqQ8CZ_9SCFLiGPfAP4PeSKCc1sg,4325
lrdbenchmark/generation/__init__.py,sha256=NwYWridmekCY36_nnE8BJUxtCekN6HY1IyBf2GMUAY4,1159
lrdbenchmark/generation/critical_regime_generator.py,sha256=WppRhUFSc_T81w4D4Yy_CU-6iVXhgspLqO_yuhX3noA,16703
lrdbenchmark/generation/nonstationary_generator.py,sha256=8NFNlJuOxAg6-pehHUzpkcPif15PyZnux86Ru3bsEek,22162
lrdbenchmark/generation/surrogate_generator.py,sha256=3jz749gDW5u-6A22mSRaCb7Q0_NrS42iioqvrmTVaBw,12121
lrdbenchmark/generation/time_series_generator.py,sha256=-ZbGReV6mfRGNnpj0xsH5xfaP83DBTJkxZCnLliv7eo,8496
lrdbenchmark/gpu/__init__.py,sha256=V7LeK-OyVNsX6dgExX2nM6hOHTGZjq8tt7eByyk2h0o,4397
lrdbenchmark/gpu/memory.py,sha256=dvr0QWHa6rZX--13p4-L-5YAnkb9dQVFJRIPtrexP0I,6131
lrdbenchmark/model_configs/CNN_neural_network_config.json,sha256=uzoIIwkIQxSXhrHXn5NRSfwwplOUle0ucmAOpnojtco,420
lrdbenchmark/model_configs/bidirectional_lstm_neural_network_config.json,sha256=W0q9STWmm43NP9LTH_iYfD70x3kZEP9ykS-GASjeuqA,425
lrdbenchmark/model_configs/convolutional_neural_network_config.json,sha256=WppxdzcXpsdzSMjL5gVUIKnyxHozwIA2zBuwgie-w54,420
lrdbenchmark/model_configs/enhanced_feedforward_config.json,sha256=RnrBwjCCbIR3iz4jSQzQtrJIZ1KlUFBUd8Yd35ACdaM,280
lrdbenchmark/model_configs/enhanced_transformer_config.json,sha256=J0yYfuQzw5YeUYPIsd7rPui4WzYsZFpD-xRgCi7mcII,270
lrdbenchmark/model_configs/feedforward_neural_network_config.json,sha256=BJg3ZbNy9WCrgOqJFqLk2nEBMHx5ygbklFvr2GSfEWQ,428
lrdbenchmark/model_configs/feedforwardnetwork_neural_network_config.json,sha256=ZJJEei8thiU2qthKepJVjXuX2RCxCE0Df_Fn3Bdoywg,416
lrdbenchmark/model_configs/gru_neural_network_config.json,sha256=8mxVeGidyTzicU1tTrfjmdIadFKQePRfODtxRtyXMkI,401
lrdbenchmark/model_configs/lstm_neural_network_config.json,sha256=1HtUNcY7e4aBtdar1qCK7a5jXNzSZgUPyNBgn9z79zw,402
lrdbenchmark/model_configs/resnet_neural_network_config.json,sha256=2yNam6b0lW4leFA64VYLrQOxIZiFmBFRZ8Wd17PsYW0,413
lrdbenchmark/model_configs/transformer_neural_network_config.json,sha256=lBHFgkakrJyh7pCXoC4WuwdGtneGbYrk-pDFrjOwL78,409
lrdbenchmark/models/__init__.py,sha256=kGWWp3vrw9CJ8tcZ06b0G2GRX1-Z2g20e6R1zpgjP_Q,978
lrdbenchmark/models/contamination/__init__.py,sha256=9PcPMomTK5BmivcmSXJlIRahE5G0-VLDkgUin4AkJuM,512
lrdbenchmark/models/contamination/complex_time_series_library.py,sha256=vyiMe3JbSLg6s4-FHP44nb4QeaHwbsR7AfnBwvFExYc,25304
lrdbenchmark/models/contamination/contamination_factory.py,sha256=EXc7PLn8j2lndCZEbhJtuBbTsDdj1PqEVvsUp9qdIYg,53084
lrdbenchmark/models/contamination/contamination_models.py,sha256=gjqbJRLipH444rLUgIMKTKZfycbQYikkhUhvaPOMM8E,21857
lrdbenchmark/models/data_models/__init__.py,sha256=cmVk527Z866nBJF0ep8iDGzeRve2kB8WFOAQQY0Wn40,3647
lrdbenchmark/models/data_models/alpha_stable_model.py,sha256=vzCWTym0Ad_KJaWheDrjAkRrhTFT-FamNQZy4OaVWD4,21537
lrdbenchmark/models/data_models/arfima_model.py,sha256=kJnuMdAi6sRddYmRPp1SUNhu6RJoGWwRNnvqCupRTWQ,14046
lrdbenchmark/models/data_models/base_model.py,sha256=rtDbRKBRwK9nSvKEEfPFLyvLt1EKww-1N0An_pntdak,10994
lrdbenchmark/models/data_models/fbm_model.py,sha256=-p-F9G7nlpD4yqpWClADq1I3qWfAzu1R49Y7m3aBU_E,3440
lrdbenchmark/models/data_models/fgn_model.py,sha256=xwHJxvTW4A8I83OnuaPDVX2K2jleccrTvoINbIdscF4,4480
lrdbenchmark/models/data_models/mrw_model.py,sha256=EkkamfODt63b0RMi8EymIBoInt7oAE7frK5IYfMwPZo,9212
lrdbenchmark/models/estimators/__init__.py,sha256=yjytCephJGCTfs1sgeLDeM5dbW9QsooI_x6IDGPjMp4,326
lrdbenchmark/models/pretrained_models/__init__.py,sha256=ivb5p-TxV7bUBBtu5McjrZXCwFBZMynPfwlweNvxqeU,932
lrdbenchmark/models/pretrained_models/base_pretrained_model.py,sha256=oGupJpxtBnSaXQhJ1iA5ZXUowbxGxSYviPpKQb5ZEmE,3659
lrdbenchmark/models/pretrained_models/cnn_pretrained.py,sha256=xIg0UH6LlB6rzJyuKvlcF3FOwSeMwlxV_Segoo5RrCU,7451
lrdbenchmark/models/pretrained_models/gru_pretrained.py,sha256=_y2ImrHrqMvHGs_7r-4XR-9P7QJSPtzSjaN2zo-fLZM,3120
lrdbenchmark/models/pretrained_models/lstm_pretrained.py,sha256=i48BhLRWhtw_6wEeGhWDscTbJ4OMZcEQB1AzRwhOjpw,3221
lrdbenchmark/models/pretrained_models/ml_pretrained.py,sha256=1uesI5yBfTb-8ImMY21JmnfzAFPgJMw7V16GlYzqdks,10242
lrdbenchmark/models/pretrained_models/transformer_pretrained.py,sha256=V_JWunZh-DRo_ixbbuLIJPe5zw8zfDkgfMvCu-F-ysM,8628
lrdbenchmark/real_world/__init__.py,sha256=tiju-d5bS4NdgbSwmjvEuNWYHkXD8shH_bo3ZQKfX3I,353
lrdbenchmark/real_world/datasets.py,sha256=LPhOn4bGWohrcHGUFnhsiMZaDM4pJyTFjAyubSopkHw,14905
lrdbenchmark/real_world/validation.py,sha256=Uo21ON_6X0fieuz9z4tQe0KrthSRigWcQiBTPBkbWUk,8476
lrdbenchmark/robustness/__init__.py,sha256=1Jrw8onbszVgR4eA3_fOteoHHorFHTleRYq112Xae5k,510
lrdbenchmark/robustness/adaptive_preprocessor.py,sha256=zRR1IbWbwlPAJNvuStFsDHXaQ8Ak5NsxIBguIUJAqYw,10154
lrdbenchmark/robustness/robust_feature_extractor.py,sha256=iJS-J_pI66nHiqqMLrJtyVFKKdT3LtZGyuWiNWL06Pg,16391
lrdbenchmark/robustness/robust_optimization_backend.py,sha256=L3APbQvlvk3nnwp8CMSGdsxn_-TceOz2I0ayPT3zL10,10671
lrdbenchmark-2.4.0.dist-info/licenses/LICENSE,sha256=spAuyX5K9fmFtCIZBs4Y3tKWZZE9YrsH6DaXc1_VZAQ,1100
lrdbenchmark-2.4.0.dist-info/METADATA,sha256=3nO3Olr8tQQj4X4fB-KYpp1z_tAIc7yVvSivWJzSvqs,13856
lrdbenchmark-2.4.0.dist-info/WHEEL,sha256=qELbo2s1Yzl39ZmrAibXA2jjPLUYfnVhUNTlyF1rq0Y,92
lrdbenchmark-2.4.0.dist-info/top_level.txt,sha256=PN-5G0Ap-uAv1peFcDq5cHuXbqDHU-1ZJ_hm5mo8Cx8,13
lrdbenchmark-2.4.0.dist-info/RECORD,,
