docs/benchmark.md,sha256=6XqlAtM56GXfpr5TcrQbGc5ZGRebv92Pj1fNFsg7jCE,7348
docs/custom_forecast_methods.md,sha256=8BdlN3cYJs6eHZiYy_Ildd8TYgWHWZ7uM0fEEcOt4Vg,4900
docs/index.md,sha256=5dATRWNhQeEwCaCBXopT7BQ3RpQFWpY7EU96I6OXZ9M,9417
docs/intervention.md,sha256=Tz9YRjF8P2pnUH41_PcSMMXJi6jGKpeMdUvq1c7fj3M,1297
docs/optimization.md,sha256=QRsk1aoxPv0aJC9Adz3Hlv4dx5mM8PYLa_axB9kK7I4,5256
docs/prediction.md,sha256=mUxXN6vTyvrAfXJTs7lLro_d7pgQIo3iIXGP9DJcGAk,3649
docs/simulation.md,sha256=SF4BOv1OAL3yU20N6UvqOlkFGE2BnYs-HKO-ZyqHfN4,11115
docs/images/conditional_directed_information_comparison.png,sha256=8H86ljZuwIe2evhpGeEqYzqRUMePjzdPD6GImKQO1Jw,32975
docs/images/det_v_stoch.png,sha256=koB8zKmSMvgPf7oJ-Rk0hIWrER2Ym5cqnARQdllc46Y,851993
docs/images/intervention_effect.png,sha256=R8Wlgw6uI7bTT9tmqE9cmDT8H3Q_1smxWFZ-JOzjZBw,63110
docs/images/original_trajectory.png,sha256=etm5gysXY4huIXerM4HxCmXTzhE-81HRQC6sovKSD1o,53805
docs/images/prediction_comparison.png,sha256=_osMP9si6ZD6OxfkWBEubAsg6dhkw8NWm5YiWAsHoeM,69831
docs/images/sixty_models.png,sha256=nuXelLpIsP1lbZIt3CkOBQ_qKt8DqQknHSC6LCf0yxE,1150400
examples/benchmark_example.py,sha256=JWlFO4-RdPA6ui7BWO4scNqJzH8gMwcMSL8sfnB6UFc,3926
images/conditional_directed_information_comparison.png,sha256=8H86ljZuwIe2evhpGeEqYzqRUMePjzdPD6GImKQO1Jw,32975
images/det_v_stoch.png,sha256=koB8zKmSMvgPf7oJ-Rk0hIWrER2Ym5cqnARQdllc46Y,851993
images/interfere_usage_combined.png,sha256=f8Ngx1hWP47PGM0aBQo8RBKkaOQFPz3GiKnpHggBPk8,124977
images/intervention_effect.png,sha256=R8Wlgw6uI7bTT9tmqE9cmDT8H3Q_1smxWFZ-JOzjZBw,63110
images/original_trajectory.png,sha256=etm5gysXY4huIXerM4HxCmXTzhE-81HRQC6sovKSD1o,53805
images/prediction_comparison.png,sha256=_osMP9si6ZD6OxfkWBEubAsg6dhkw8NWm5YiWAsHoeM,69831
images/sixty_models.png,sha256=nuXelLpIsP1lbZIt3CkOBQ_qKt8DqQknHSC6LCf0yxE,1150400
interfere/__init__.py,sha256=P5Yi1liz5e9j21uDIrd6O2fw1rDJWj43e6vuNjPqv-w,511
interfere/base.py,sha256=hUoBZSiLHX_o63bGRE-UYiNmVGubf-vPEdu4L9Nl3d4,43368
interfere/cross_validation.py,sha256=Qp-wOZu10kRei_fk826mfVlB_trMXxJkLBxUeiOi0Tc,26500
interfere/interventions.py,sha256=6zoBIPiclVawHGSYY4ftodn45ukstAjYcff1sKKxBqo,8219
interfere/metrics.py,sha256=UXPj4J3dPsSTXd-iAsuulgo6edp_mumtyk7g8pOrSMI,19145
interfere/utils.py,sha256=IrZAb6kW0i4aC-gDPfXCQqJAXeTUjcGoxadkLRqOvzA,740
interfere/_methods/average_method.py,sha256=KJUxs9nF_skk50dv4grSZf5QCCIX6GwtU1AqPRghB5c,1132
interfere/_methods/deep_learning.py,sha256=iGUb5nNpNpL22M5yw0SuRKnSnTNIHFh7P1ouhZbH5Js,7522
interfere/_methods/reservoir_computer.py,sha256=TQa-tFMbvup1bbwla_siXRMGcppw2d7VgEa5E1JjBdY,23491
interfere/_methods/restricted_sindy.py,sha256=t-dVY8mDJ_jkXenn2DGl6InlWyFkYfG4ToX7CeYFkck,25425
interfere/_methods/sindy.py,sha256=TCONi9zLwKax9KVioNsI7ycTSEztav1WDtckKqs3UmE,6418
interfere/_methods/vector_autoregression.py,sha256=ZIHJ5gU2J6Mor6RzCXXH6hSIuRYmjWfXIPQl2U_uQ08,3862
interfere/_methods/nixtla_methods/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
interfere/_methods/nixtla_methods/nixtla_adapter.py,sha256=QUxa2kLAUC5GxwKj2YBx8QKfXIoYpOiYoI2FYk6n0ZA,21156
interfere/_methods/nixtla_methods/statsforecast_methods.py,sha256=SKdHMx1Rgxj4YC2SvwNL-WtpCpSaBzWmGTOxpTKYJCo,3096
interfere/_methods/nixtla_methods/neuralforecast_methods/__init__.py,sha256=jOQr3ZaWovyO1Aul2DwY0kT6A_bUKim4jw4BD8j2uTA,48
interfere/_methods/nixtla_methods/neuralforecast_methods/lstm.py,sha256=fXP0Qk2A-Gx1UymzUgL0vpfJwaaqqUUoe-T_QFnxmTY,3731
interfere/_methods/nixtla_methods/neuralforecast_methods/nhits.py,sha256=W-uo84ZVSw1Oi8QIrwrPlGXhGjowX0Dr6Ep9YPFb2X8,4286
interfere/dynamics/__init__.py,sha256=Q0rCAQRQzEOXV122ZMJqJzE7f_igJtUTtuVJ50KXXNY,1654
interfere/dynamics/arithmetic_brownian_motion.py,sha256=2lHlRLh9RYmDE7daJtl1uAluIBfvL12UqaopjHbR0WQ,1727
interfere/dynamics/base.py,sha256=tJ9B-8uZbWPZX5g3HrZylry4pJBaJVF2-W267XAhEzo,23993
interfere/dynamics/coupled_map_lattice.py,sha256=TPhBeI0MRSIi7BxWFi-ugt_UVS6h-O-KyyaT0TCGzWk,28237
interfere/dynamics/decoupled_noise_dynamics.py,sha256=x2d5_QABxfgzspbZ9GF16s7qTtWw2xVK-nv8eniiAT8,6616
interfere/dynamics/generative_forecasters.py,sha256=jxJypb_NltejBR_-yV1nQ1jlksUnv_CBHP9E_XWu8ns,8303
interfere/dynamics/geometric_brownian_motion.py,sha256=abvLl8SUM15e5cTTGi_rOfJpWeTlWcAe8O5U_rcfjFc,1854
interfere/dynamics/kuramoto.py,sha256=3xirliU2PKWNfYl1VLKQJLbSwRKjldFVrf1LAkXOxEA,7634
interfere/dynamics/lotka_volterra.py,sha256=TYFQIwEyaPwwm8hySuE9-phIVP52zX56RLkZGWrrGrE,6387
interfere/dynamics/michaelis_menten.py,sha256=BUY1aOd_4V98u3mRqcjc32UZtPtI688-uJ9FFE02V8g,2871
interfere/dynamics/mutualistic_pop.py,sha256=03PDUewKXSdjzPmdI-r9OGk07WGQuXHiegnwz1DTtQI,3674
interfere/dynamics/ornstein_uhlenbeck.py,sha256=EEnni0J6LOexcyXP54J6hKD9G_rf6BdkZxnJV8zRegQ,2117
interfere/dynamics/planted_aquarium.py,sha256=dM84QC8xZ0vjLsQ6NpZIZ-XGiUsrG6Xb1cBoXxAKGpE,8179
interfere/dynamics/pyclustering_models.py,sha256=MVstpAvoNP4nkwagC8Z0A5wYJBYO7BNDyUfMfD2sjdE,22258
interfere/dynamics/quadratic_sdes.py,sha256=8TmTbshbzXqX6UZwyUHXcHzolk_YEsLUGw7led3G6Vk,12984
interfere/dynamics/simple_linear_sdes.py,sha256=9eawnuILp-3hFc503aZi6r18ngyYOMsvm7XjgzyBqjg,8087
interfere/dynamics/sis.py,sha256=m0u8Zoz_qe9O6_u0kqvJe-UrX8ifmlJX08-z9VBu8KE,3318
interfere/dynamics/statespace_models.py,sha256=6CjMcdKgZPT9NPUlE7hhJpGQQZsplSWpMjlKlqXKPyg,7416
interfere/dynamics/wilson_cowan.py,sha256=CyfOtTAEOEwuY3REvzbiWGvQkvUdAQxjXcLamakSWd4,3175
interfere/methods/__init__.py,sha256=wJZtZqPZQP7OreRXCSQm9knUETMiw3Hl7kPRaqXrsN4,895
interfere-1.0.2.dist-info/licenses/LICENSE,sha256=r8Z6xYz8ycC0g4513jkBRm6V2dlZQa8uXOO3fWHQC68,1066
paper/paper.bib,sha256=RNf1wCnD_kwAbNbLtVX_EdEHtW3ees-ti6GeABqF-_Y,34902
paper/paper.md,sha256=7aOSBlHJJDwGksi3xq3athGRnXSPz8EXX2WW78Ps_ho,8931
paper/paper.pdf,sha256=uEImJ3vwfS3yiGcrEpRsyRZ_2PeeIJC5llH03POGzqY,1661087
paper/paper_full.md,sha256=Kj9E-ZLj7QJlujmJjubBFucuUKL_xD0XCi3b2Aoj8Tc,22629
paper/paper_full.pdf,sha256=O5ns3GXRZXUtO7hLm-b2-MAWQJNE1GYmNoVDi5AQWho,1773389
tests/sample_models.py,sha256=AwHP5SJR3g6MAyF9Ha8-_TWcNFpx1DzqxSoZmtsETnA,5444
tests/test_base.py,sha256=OguZt4kU_djceXj3Itt8BJmPUIVhrtkmiZYiV4XRUbo,661
tests/test_cross_validation.py,sha256=7Y0eOy_84G0jYLFoiQADsn11d94U_DwGw5ZtU3w74xY,19243
tests/test_dynamics.py,sha256=pKfKoYQpGLU8z14xVZB0U6MfPfjWns7ZXj8cJ3JwuB4,24028
tests/test_interventions.py,sha256=5u3dxXxtMClJrGxACV-oPhxt1pSi5C9d1dZZ29X8NZs,7853
tests/test_methods.py,sha256=016SV1pEpOB5Ijjigh6qdbjYhAZur1NJwLtEZ1H8zKA,41384
tests/test_metrics.py,sha256=yscDo1HZMKpsf0IU0uxIqTQ5pjy8gOVJxBNOpJBcUUk,3628
tests/test_rescomp.py,sha256=wNnI_4J9ttcC06XkVWyK0wJiEncFzYHzGuslNzaUeSI,6098
tests/test_restricted_sindy.py,sha256=uXJCIIPQ2WM1APUdB075ZLi3TnV4H-pkolh0OnMqm6E,14761
interfere-1.0.2.dist-info/METADATA,sha256=1q9TKQD4wqLHvcmN_IbL_XBch1qhKklTADDk466yfrI,11851
interfere-1.0.2.dist-info/WHEEL,sha256=aeYiig01lYGDzBgS8HxWXOg3uV61G9ijOsup-k9o1sk,91
interfere-1.0.2.dist-info/top_level.txt,sha256=M4IbuJGbcu-aX6K0n8HAmpSP0UmiC8G4pmzbir3rG04,43
interfere-1.0.2.dist-info/RECORD,,
