river/__init__.py,sha256=YHbn3ou_lB_2khYQo2LmMb-aOVTW5RcBwtdcagB_aKM,643
river/__version__.py,sha256=jMLz78qoQ3B6fEx89iYUD7S5JSnMcmbF30ratsApbAw,81
river/api.py,sha256=4hPg2lD5fMC3BWbw5839b5iDUi4CZmAFVK2WOacLOQ4,1295
river/conftest.py,sha256=lawMIby5bUd-SwXjVWz8yDuEZjciFna3FsalEb9_nT0,568
river/dummy.py,sha256=NEOsP5uJrqXtrQmBquu7Ulzr9zp6oaPuZoB7aXHEOq4,4624
river/test_estimators.py,sha256=GHGhXIDyAItj5zUI-qHlxUtKak9WWhzWVSZFQETWiLE,3960
river/active/__init__.py,sha256=qcwa792eWjl8FFUdCxdPLKZMEn-oR8emQVlbhzm5dnY,130
river/active/base.py,sha256=G7LCsoGRAb5fp6vrxntpGWh2Fh55dw7Oj8YwOWoYS2g,1913
river/active/entropy.py,sha256=XiM2udmwygMMXYJ9WUnOn93TxHbG_XbEkK9pCI_C5FE,3195
river/anomaly/__init__.py,sha256=0IiyEJts3YgE1IUnabi3xwPeqWKEn0vePVn38EQ7sC4,1113
river/anomaly/base.py,sha256=ivxeh2JLnfkO7RmRdeE6lOQ1RE5zRTeP2Lw8Y4tHSho,4434
river/anomaly/filter.py,sha256=HJTuCtMWLo0yUWJNGsg_pQLpIXJvVMfQl2lBbBUam5M,5999
river/anomaly/gaussian.py,sha256=LrzcIiojiQ7p0Kb0U9GYiih5d46X9aNoGVGqXRsZYbA,1889
river/anomaly/hst.py,sha256=zmFNj5r9bnGeAlPoz8p3kB6-aIZA_52KAie40LQOrsw,9149
river/anomaly/svm.py,sha256=eFlEmo82VBBpiAZXqsRvSbCmBMrEn-sUxthqw5FM1ls,3525
river/anomaly/test_hst.py,sha256=YJnT11V8j2VM_LkBeIMDuh4imwhtiNay-fUkDBpbfSY,845
river/anomaly/test_svm.py,sha256=cT1Zo1hsxjJcX7PKjQFqkmem-XGhjWIHcu-euVXLZn0,1042
river/bandit/__init__.py,sha256=uVHUYY85r_OQv9gdg7wrEqgHEJXorpXz7j4JyBhABEQ,507
river/bandit/base.py,sha256=pXEkvE95UN-fRnCWPCfMAYfuPsmm3aZlBYxpfAEjj5w,3344
river/bandit/epsilon_greedy.py,sha256=h9A7FTrq4AGARuYIV4pLT-oKNP5UCQ4TGDHpXtI78t8,2925
river/bandit/evaluate.py,sha256=gkNOnjB_enaLmyK04ctqIUB4yBW0Wwbev-J5wDU7sAw,5480
river/bandit/test_envs.py,sha256=NlccnI6QXc5Wv9Sva32MDgiMIwGbYNDkTm05lDGzB-k,451
river/bandit/test_policies.py,sha256=Wr5LxpuNlkEruuB-NeQF8aEi6X6gM7q_42gQ2YzPys0,3256
river/bandit/thompson.py,sha256=sCNeZgz7nvgsxrezJzGJbibZnKAq9TQ1klrMdcJcsM4,2827
river/bandit/ucb.py,sha256=le29ftLKzFO1LEO2bzG1K7IW7kB0PBa7KoDoICFPn68,2988
river/bandit/envs/__init__.py,sha256=4A17aeuNjA83aMm663047Mann3XNXkn7gAX9q3LEIJ0,860
river/bandit/envs/candy_cane.py,sha256=V6OMuH3fy5GOIvb_1QrsYUDYX3shLkWyHHj_crj8Up4,2787
river/bandit/envs/testbed.py,sha256=OvhfDws6vTwgVtEG4FsDmG3SyoxyKxEmaR1oCSE9Z4w,1332
river/base/__init__.py,sha256=pjSzQP867XgxnRADmFAs1p0rXKw-ha0WEWld0flZ5lA,1728
river/base/base.py,sha256=XXoBQ6_0uBjp7fYtOzK6C6kFpJn8BI1tOSFdtKHDVWE,16321
river/base/classifier.py,sha256=JWqFWlTQyHADEdsEU42EYxEpaWGuDrGtIGnUYq90a7g,3930
river/base/clusterer.py,sha256=QhsVSkPq2H9GvXtuCH9Ukud-Sss2E48dvfke-sRT8Yo,779
river/base/drift_detector.py,sha256=--U_AudstGJGdqrdFoj8xDWTohos9vCILA_mDebWvCs,2358
river/base/ensemble.py,sha256=SDgL-vVyR6YhcQfzsB3APIszjcC04k-ZtWyx6Lc49QM,1429
river/base/estimator.py,sha256=4Ga1cPrtOYY-sAc_fS2vyPcWUlNQj0JjeCXv9a5Pt7U,2707
river/base/multi_output.py,sha256=uSItkBmxg8hCKm22uQs4JDO0kngDh59kbZx6eBRZFRY,2612
river/base/regressor.py,sha256=L4QxTzSYMCjzmPqgfRoN0aOQ0beiyPaisCOomoMfaHU,1704
river/base/tags.py,sha256=2oAsOVMJagJBUAfrhy6LqW-08p1XoWfn7_mky_rEjoY,62
river/base/test_base.py,sha256=L7b2zZYRBis4jGQSEVwJ2uH91HuUE_5XdCtcZR0YTQo,4011
river/base/transformer.py,sha256=oVSHikGfZpOo9w6Z54noOitBayeQ3M_--XGXuIOCbuM,4601
river/base/typing.py,sha256=NSMclbp0yZcV-taDPDsPENvnsZZv4vcO5nxRTA1w-is,296
river/base/wrapper.py,sha256=sdTcDpepLKft5AIwuSOeWGB62cj46-LIHBZuIW0EA5U,711
river/checks/__init__.py,sha256=A4oQ1SM1HB2NQCivdWJnAdImMBStqIfHtvOM1lcakPw,5972
river/checks/anomaly.py,sha256=f5jgzjK0OXdyhi76egkN2kGBGdaCV0PPifLTvGMrPEY,403
river/checks/clf.py,sha256=DBaX7mU8ufB5MCMp_GMwMOlKweaUoVAcXArXYScwox0,1303
river/checks/common.py,sha256=HHvv6K7Z13prFpnpkF8G9HgkXDgQySF77om9S6p4ROA,7198
river/checks/model_selection.py,sha256=1dPYsgi6_TMtadHSOGs3v9-sM6TZ7uwlB-9E0ey9lUw,697
river/checks/reco.py,sha256=IvA93ZsdZf7bxi9Bf44x_jRd22u_cXASIcez_0tK5Pg,539
river/checks/utils.py,sha256=iDCZxDO6mkQqZcEg6zUqQiVOmAoHrT48GMx-nvsdXP8,810
river/cluster/__init__.py,sha256=BwdFmYTGEBOtGyKGqc_9d0TXEToAlz9DcoKW0iy3Hz0,326
river/cluster/clustream.py,sha256=ISMt0BVQXwfA5Xs2FaEFaTyiBHzD1AReDWbHsuivPNU,12391
river/cluster/dbstream.py,sha256=EionmMbUrNbWBXDBpDMv4moxwTeJ53LGstPa4lAShdk,17049
river/cluster/denstream.py,sha256=hi4ZLrOvNq5pAx2OaKCUBOOhy7AHPI6ThzTQzz70G_4,18746
river/cluster/k_means.py,sha256=As19mmw5PDCea1Cs61vCeLWJjnAihiys5phQ4gdap2o,4514
river/cluster/streamkmeans.py,sha256=jZxJUf65kIg1ZHZKjXim04TOMsUB59efTGdB3ch8u0M,3940
river/cluster/textclust.py,sha256=oezoIEeiDmXqYYAeYpz1qHKXZnm-_mjUNkloxsKqM6A,23503
river/compat/__init__.py,sha256=Xeab2JpuTm5esavqD9_0XV1VJrDbsrHFKzOt0Z0wFv8,1049
river/compat/river_to_sklearn.py,sha256=xl32nnMR3IuuXXE5ZXM9X2sXxUmVDvxfccg8ckKMDw8,18932
river/compat/sklearn_to_river.py,sha256=dVpCJss-IKTASz5KpMD5aHheZSEke79x3dcZQ5GaSXg,5344
river/compat/test_sklearn.py,sha256=Tra_M2wEAb680mVuBif-F9HQdzsAm9KmPZQ-6p7YsBo,1170
river/compose/__init__.py,sha256=z1W3xRuyVsMD253Ub5_Brg-9v9O0xwyRQugGCQ72AkM,905
river/compose/func.py,sha256=ZBMnb18K2qargWpmPVbOnpoO98hF0mc40znLuVMtCEo,3519
river/compose/grouper.py,sha256=UnHpGuaCsq8L_TG9EFWOxatX-v0lhl-PFVOka12tAGk,1490
river/compose/pipeline.py,sha256=JrsKjtyvCEHCd9Y09LInc_ky259RlWCydiHkRLCOmoA,27421
river/compose/product.py,sha256=DjLXoDENEm1n1Zc8p3EDymooeouWxe76k5q5enhLWDQ,2376
river/compose/renamer.py,sha256=mKgN0biQydwGudcRmkwTLYJqBnd5AWyiMG0-qDXS6QE,2098
river/compose/select.py,sha256=0IY3kTQLlGDAEJ4oj6MhAgGzRkHSIZf6Cy9Vh6V3sWI,5643
river/compose/target_transform.py,sha256=7kk9rVGgDcIfqbGQgd_34ees8M4Mlx6QvTgehgA7ZAI,1783
river/compose/test_.py,sha256=h9lHhCqh5pymCI0QHpjROrVdBrr5AHIVb0e6Q7Ypzzk,3761
river/compose/test_product.py,sha256=fa1c9tA9YY9QFBZ2MwnjKe1jcyWdkRXdpj_DhBhogtc,1911
river/compose/union.py,sha256=bWcNmBmDG2pUwq6hCUY6_ZgV-VigTZ5s_5DZfIpXLbc,10101
river/compose/viz.py,sha256=S5fQEWFzadXb9WbPjG4aK7-SefcVxMDEs2qir6b1Fyw,4152
river/conf/__init__.py,sha256=b8imoiPoIgckQNKBJqnC0jzVelsosJTNsO9OXkU3RSg,265
river/conf/interval.py,sha256=ZevV0B98QuwYzviTOFYeqWhiqcQuGnZzSE1u6-rdvbg,863
river/conf/jackknife.py,sha256=bVl16I-ZF7tdRWUWwEakm0o-pwtQnPbbDcwpIb-wyCY,4794
river/covariance/__init__.py,sha256=e-fBw4E3Vue4F6D3YpI5yalQJjlaAkPlYR--_jAph80,182
river/covariance/emp.py,sha256=9KsoYsUjw18NSij7bXbeK9F7w7CcIAc9b9OH-oh1bng,9633
river/covariance/test_emp.py,sha256=yS8VQHJi1Kl8jY-UlFcOGzui1LW_mED9QG6NoV4zXXM,5102
river/datasets/__init__.py,sha256=Hct3r3FefonXoBtarPaX3FjEfeTpGecHaTs_w5x1_78,1610
river/datasets/airline-passengers.csv,sha256=kIL7oOyP-6W_y9t84qPjABIXpVAGs9uKfVoXXWx_OSY,2182
river/datasets/airline_passengers.py,sha256=tIpCuKyPFBybphgYVZpolO5oUfP0qvdOtKtH5ATkhuE,1056
river/datasets/banana.zip,sha256=AJVSVZjiRdDwdfpl5FU-6tq6Ud3zk-RJ5pWeBh7TMD8,49917
river/datasets/bananas.py,sha256=4aKgq9m9j3875bQCPU5-GL7YNxDCoJ60uhz61PEFgwA,620
river/datasets/base.py,sha256=c2QZN_P8KmBnDaEoHtar-GncuYu814RqD8zT_wXAoWs,10499
river/datasets/bikes.py,sha256=bvTe5seEjhvrcioESqpwdlARsgnokDmCMMaJx_BFfg4,1181
river/datasets/chick-weights.csv,sha256=df8s38Q8zFAzrievhQ9JAnTsPsMHIFHobRtVevaC66Y,6910
river/datasets/chick_weights.py,sha256=-A1rAS0ADdKfwI_yE6WYI80qWAxFaGZRKSMU8rP0uhY,845
river/datasets/credit_card.py,sha256=q3xHEAP20uad8ZUF2ObCPfGpsjf1Nbf3I78pmlB6slA,3750
river/datasets/elec2.py,sha256=uX6UrnBEFIM7lWS1GXL6HMGSDf2Nvz1SnKnR3tDtSVA,1646
river/datasets/higgs.py,sha256=hRzi6oAe01-M10Po5WtMbVSJoDR2hFS5aIM0oCLPc1M,1992
river/datasets/http.py,sha256=5sykBSZXpt-j-fhBoAGrBdzF7zBsA_PJv4b1YYC6iMU,987
river/datasets/insects.py,sha256=Fu4ymz2qGITvtPlkw-lwLsDgWvEJZjPUh5oDTDcvHzM,2764
river/datasets/keystroke.py,sha256=XsDeqZocE_KhXknO7WTHQARyNcceSjcIvOukLVGc9Kc,2049
river/datasets/malicious_url.py,sha256=Wobe6Dk0gicvzvCw0cc7tyR2l05vCaru5UK3eEq2HKY,1508
river/datasets/movielens100k.py,sha256=I7_WJebFqxsrbpNtCxscxRgTKH9oj0of3OT0lU0Pmx4,1852
river/datasets/music.py,sha256=7E9LkCe7XqDD3W_bubaNCsNpfpQvotS1z85WXoDLlNE,5493
river/datasets/phishing.csv.gz,sha256=2KbUS9lnLoUrilOtLGQin4GXIVinfZgQc6mLF8J696k,3991
river/datasets/phishing.py,sha256=VqFqIWu3p8q8CHuKX2T1PITdti86q9cPD13ydFh5dmI,1132
river/datasets/restaurants.py,sha256=Casdxba3WUiRpU06HbTnFDhxKT6VSJ3aySBXZEj_gcs,1213
river/datasets/segment.csv.zip,sha256=keRALvy29qQIfkvPzQdJdt2OSIGdKQ9Fuua9ZSvRbXU,122552
river/datasets/segment.py,sha256=o-03v6nlSVEgK7EF1EG5KkpkrWLJeKHVUq6eRqnMMQU,1511
river/datasets/sms_spam.py,sha256=EvK0EP_YcMptPXGo8oBU0fa7TWUVrAZn_qAL7O8nLNc,1146
river/datasets/smtp.py,sha256=y6hBx17TI_JCYSDDEO5GEJV0cS1E7M4Qp_6zGdPe3ig,1013
river/datasets/solar-flare.csv.zip,sha256=eakEpsMMpssRyn4F_MocQ76XUK0p0Ljhqmwgnge1XRw,3117
river/datasets/solar_flare.py,sha256=BG47PYameugnfxqXhWWwFve0kcrvIcN4M6vfKg7vB5w,1217
river/datasets/taxis.py,sha256=gi2lCNOS4x32gkbZCt6cQ_VXTOq36RszwfvaKcpOv9k,1207
river/datasets/test_datasets.py,sha256=Vg6DsfrE464kUzQ4rXAmvbuBwZhwYcYvs93MQhOyeps,3197
river/datasets/trec07.py,sha256=z7AXbr7bVJByPn8iwIS-xFnK8mCqoRptUDZV_XkGB40,1226
river/datasets/trump_approval.csv.gz,sha256=s6Qu3HqwQUUn09Fay_Sl29G3a0PXFbdFctpL_ako6sE,10957
river/datasets/trump_approval.py,sha256=DsdvmJIVRXT8YzzPOJK3xhmuYHfwYAag3ul8-Qak6Qo,1280
river/datasets/water-flow.csv,sha256=mvawA4GK614YDtIJxfspysHQh5OugHJupYOBx5OJ4S8,42941
river/datasets/water_flow.py,sha256=BnnBQWYx9dgcPvtF9EcFmACHNvKxeXM2tOC7amO2h8U,1361
river/datasets/synth/__init__.py,sha256=3BAnQBU-bATZohD8Ow7wMiBi86x0HcM5Q7Smv3s5lHM,1176
river/datasets/synth/agrawal.py,sha256=S6MpFgo7HIDK7gkWxeUc87P_Bzs4pn2mR76F71hN9tI,12540
river/datasets/synth/anomaly_sine.py,sha256=BzChgKO9TUJSLCDlReIRKWSEk5P4mGmSEAAjx6fs9bA,4902
river/datasets/synth/concept_drift_stream.py,sha256=VHlk_NOjZszFxQ3bmgXuU_YpfDCDLOThLoXLcgRev4I,6111
river/datasets/synth/friedman.py,sha256=oeI4cDXe4ehaDMkP82WbCwFzA0kuyaXAe_9o8lDwFwA,13258
river/datasets/synth/hyper_plane.py,sha256=XkD7r4c_7xE2D5P-6SZparE3CHPfA3XLVVdSb6xOnjg,4785
river/datasets/synth/led.py,sha256=Txd211c9Abiacd1fO3diHPJ2mN--lFt5h_XoDc64HWI,7661
river/datasets/synth/logical.py,sha256=44HvIoUUifXRO1p-qxrKAaBy7t4h3IRQ9T2t71PCgCk,2928
river/datasets/synth/mixed.py,sha256=cd632A4yIUEV4mnI9BRRg6YjYSclO5dyTLK1nm9Yc6I,5489
river/datasets/synth/mv.py,sha256=ynsILjsERFR_InNsUfNnc2hwm4-HQ2QWLPb_OVE3em4,4044
river/datasets/synth/planes_2d.py,sha256=-oUOQJV5usvLZhvLULxOTXizzwyjRRqBkMgzQJS9_Sg,2112
river/datasets/synth/random_rbf.py,sha256=TuVFhVPiuoHLSD-EeQ606pFUagf5moZmjuVsFtsZP-o,9173
river/datasets/synth/random_tree.py,sha256=_og-mqGNDdNighznXc2P2_-rRu2A3N3YMbqmolC6GrY,10815
river/datasets/synth/sea.py,sha256=yegCRGiDlsyw4_IQy5d5dFUSNJJztxZowfSKWyxFRRs,2526
river/datasets/synth/sine.py,sha256=Z5OG13jcPnv-_0vbpZ8oxhL2RCmTrBL10ioisZ-PtvA,6462
river/datasets/synth/stagger.py,sha256=mz-PCjhAsbano0BZRxWQffGTjREgTyX0AdeblVLEmC0,5619
river/datasets/synth/waveform.py,sha256=rFNRb6K6NuFSREqvEy3q_SsjqyKchEql0AMYIH6I6lQ,3419
river/drift/__init__.py,sha256=PRBnUtVJdU5xUd5wFoO6f1PqrCnDpTXNVYNT3s2tO9U,684
river/drift/adwin.py,sha256=KRPjPgZBOLVeKVQpT0UsfCyrYW9i1xUCeqOABh4vO5E,4494
river/drift/adwin_c.c,sha256=j2cPzPBLLHN0YQhFCPFBQvk3nwA0xRQy1hvZq-NJsbU,577820
river/drift/adwin_c.cp38-win32.pyd,sha256=IcearlBphn9pHJ-ykox16Co751uINVIxxWJ0mVNsDvc,75264
river/drift/adwin_c.pyx,sha256=17JzqZ1qWfWmgGDS2qgvRsz6gmM6raTjgoqDewNDC0U,13594
river/drift/dummy.py,sha256=PtC6qqANb6qkhk57OjWzd0Ltyl0CgAYh9kZTWYOzk60,6667
river/drift/kswin.py,sha256=C9JHNPbDkS4ii9c7NOUdNYAbb1-EbwasjF0kD1kd690,5354
river/drift/page_hinkley.py,sha256=5uzsSdg7s6QGSYWgEr8M920Y6Al7ssdORkJ8sZQGWek,4461
river/drift/retrain.py,sha256=mnqjVPp98XP_QaHflSt9tVps7QPiUZBE98KLkT5XtIA,3527
river/drift/test_drift_detectors.py,sha256=qge4tJS6UY0zL-SzEStENR6iWailn6aTHxCOn6ptaT4,3748
river/drift/binary/__init__.py,sha256=Lrv5iDQjvo7blSG1FCqZmj7L--lqbW7bscSD7yV815s,193
river/drift/binary/ddm.py,sha256=-V-0SU6OMlKZ6fBoBdmf3ebF6q8yYAeEo51ZZACwRX0,5074
river/drift/binary/eddm.py,sha256=jd7Pod7aL7SkwInq-RlsXOhae4MLuE5LTsExbPceXmY,6008
river/drift/binary/hddm_a.py,sha256=nRzg6Wdj9piKcLuDxU5VTawBk_NeCljFNYBn6cgVf5o,5549
river/drift/binary/hddm_w.py,sha256=wXwX4AKPouxIrc6J7YgefCBT_RzB3W_RV1DbThgPPhc,6808
river/ensemble/__init__.py,sha256=mx9E56mFu_V7xSbHxXGtaEO7LZqIzsZifnGVAuCM-TU,1117
river/ensemble/bagging.py,sha256=apF8zeEJfsnJ0znDRbJTxxcy97CCp1GObEeUiIw6s2M,14559
river/ensemble/boosting.py,sha256=_IvmvKLUS2K9Cjnqi-lmy7xi2zieqCxX6h-miu2qdZU,14996
river/ensemble/ewa.py,sha256=_nEmEGyfG8XnAVmbgCaa3i8GStwULEpXc0SSkA6t89o,4206
river/ensemble/stacking.py,sha256=M5IkYLHRfSL-v4pcqdem1iOaFurr9FPbB8rycTTiWaM,3140
river/ensemble/streaming_random_patches.py,sha256=n5nMvncsllavfpka_cdT9rnTewB36zJgRCo0OYizBW0,33499
river/ensemble/voting.py,sha256=3zjlPL-5MWrTzzcDp2c1K4A6XmYX02MVfy2YqigTIfs,2601
river/evaluate/__init__.py,sha256=aB_BKkUu1MANdkXQecItScdsXns2aM0lOoKycdISAcM,1099
river/evaluate/gen.py,sha256=wZgpthTpUczbmXfQKaMqjpHjMXs5uh38pmAVnWz_uGQ,2176
river/evaluate/progressive_validation.py,sha256=6thp0JAfly5L93tAGKiechLSqhRsCflwy1x5d6U7Bug,14757
river/evaluate/tracks.py,sha256=h0irlat8JO2DjNMfSGX1MlnF8Lk_Sf3GjuInWlLifCk,3041
river/facto/__init__.py,sha256=PRiHlJTMDi3sRCYjKu82PIwXhgqcNtdSuItKxNMHNXg,410
river/facto/base.py,sha256=kN23PS22FKO7JdAcjPoHw21YI0mHfLbTzg9_Ivdsr4E,7426
river/facto/ffm.py,sha256=JuSW1gMZoRP1zghUSEz4CjIHU17YSpVdNE_lEZ5FNLE,15291
river/facto/fm.py,sha256=MVtXEFbErpAQ0qj4oBsy7uTYzrZ9IYSpiQRIVFRDc-g,13884
river/facto/fwfm.py,sha256=d2HxaZjlc6DqfHMQcpqSEdM77euFNa7XeCZI9iaH7lM,16094
river/facto/hofm.py,sha256=cOBbmr8uTuAqHrag0bhWQcXLFU8VwRx_SBFGqsPvOOY,15444
river/feature_extraction/__init__.py,sha256=JavgXRfed_H-sYEb6_izSx3h_GGsrLrfMcHTRmt6CmY,655
river/feature_extraction/agg.py,sha256=SvMqCHECFE-zDD1qkLNYyIeSf6JwSt3stLJJ6RNN9D0,10665
river/feature_extraction/kernel_approx.py,sha256=u4DYCIDDwUL04PmS0z177N6PoFKnlasbEaXRf-RzU3A,2643
river/feature_extraction/poly.py,sha256=4cznR4POUcvnJrELxVHP7XNXMKxCyap3S0tCnsY7r0s,3759
river/feature_extraction/test_agg.py,sha256=bzU7EUJLogJFQpK0_rItWmbn1FdGToplncyiIpmukHw,5407
river/feature_extraction/test_vectorize.py,sha256=lb4GZcNwt5iKWQ5FP9nROCVFuCUR64Hk0gDMkKeXcyo,1593
river/feature_extraction/vectorize.py,sha256=CPfA4gY5EDtN374gp6GvnATX-NqV83vZC1hIxLfUQYk,17221
river/feature_selection/__init__.py,sha256=xu-GPVKxVNwgkmy8cs_Q1t55nO5Pzou9BTxt10WPNGY,208
river/feature_selection/k_best.py,sha256=NMBH-DdUKN9TKpReV3_Aca4gcTUgOxCRZ9_QotMqdjM,2337
river/feature_selection/random.py,sha256=8f1qAgeyXOyUFoEBH-gJRX6bxTq94SSqbLAYLYZ3Ojw,2224
river/feature_selection/variance.py,sha256=u7GoH6nYFBXWL_WNtNGuG6rr-ylvv2x-aO8HaUFRMSo,1594
river/forest/__init__.py,sha256=6ZP84EI_tJGpScMvS3fHi9dLLm9-KNqMg8IYuQ8FARw,345
river/forest/adaptive_random_forest.py,sha256=3iqTmHADWUxLoBZRODwwZeaEatSALGGtAsV-hewPcYU,40972
river/forest/aggregated_mondrian_forest.py,sha256=E58IX83f3_ntAGhbnfXypGRCKXnXO7JF6j6o8vOJolY,7316
river/forest/online_extra_trees.py,sha256=gnD3RvglAeupFU-vZRqYCqNJj4gP8TWxydoe2RwOcQI,29926
river/imblearn/__init__.py,sha256=JqmnhmJ2kfNwtqB2AyPR3kyjPFmqGm1lLX3GhosVgU4,454
river/imblearn/chebyshev.py,sha256=VYbGxWvr7FGwWtYdJuoUKS8WAco72syoUjSLTrEdCO4,7318
river/imblearn/hard_sampling.py,sha256=V-Ul6BDsorCy2ZimZKFaNuPFjSSSH7sEjMDzFNb3TRk,7330
river/imblearn/random.py,sha256=eO7VSmmh7ptVkbZ6dd2iYkIfwolj04Pu565uZByQvF0,8241
river/linear_model/__init__.py,sha256=CPW34spsaNubwA1h-eL9iK-7PbPZXkaMIpwFxnXUraE,556
river/linear_model/alma.py,sha256=RMzH9e8a8GCzLkQIdHGuRew3INt4lM4VDvbPEkfz7z4,2174
river/linear_model/base.py,sha256=2KeygWR0fjuQ8T5oMAQ11rTmx0jiZGCQdmczkSXJP2Y,7085
river/linear_model/bayesian_lin_reg.py,sha256=dB1STWieRTIPAtZlf_YKcR2GtCvRRRRZw_6DqEhIE0I,4650
river/linear_model/lin_reg.py,sha256=OHte3rBlI9uE9mQ1fsAykXIxhpUkIxvce5jrIlVc3pA,5913
river/linear_model/log_reg.py,sha256=s6YeSeJTyNUWFXj7Wxq5hkJXaEyxLmHtM7sLR-w1AqE,3537
river/linear_model/pa.py,sha256=9qiQMSiHpwG7kSaEfs8HS8g1Pv8GhL_1Z5gzCWvKmbI,5599
river/linear_model/perceptron.py,sha256=-X83tLCbkWOrbvgoKdcipc7qliLbLYbsriJM45aQ6FI,1655
river/linear_model/softmax.py,sha256=EjOhamXXJ7mkj7U9mn3ZVi51K_sbunb_a1ToFbT7ek8,3491
river/linear_model/test_glm.py,sha256=VdhKPDHGFVZ2uvApFokktnSM8_Sk9GtZGBXQbZjdj_Q,14654
river/metrics/__init__.py,sha256=o7OP8s6ZwoFtulVv4JjYtnEfZf7QNDB71KyybZANTPQ,2750
river/metrics/accuracy.py,sha256=3uHf8IBmiULz7cHTOGAqVIdYK4lB2iQy3ED_IqJlsoA,915
river/metrics/balanced_accuracy.py,sha256=e1x__UPwq5aL_oS_xJFbdks4X51pN_hCMphW1ZhyCPg,1617
river/metrics/base.py,sha256=3W0lotwBT1AgrT383CZB5dS3pBdbBQ7QpmQ5Ax1Wcmg,11240
river/metrics/confusion.py,sha256=HSl7rwMUOIMnJk02p1sCGVbRLeOwIDZjIuLLuPtHuh0,4066
river/metrics/cross_entropy.py,sha256=iIKj4CZOSGteH42dU2bOZhAqIcuuli0KVKIVvCoPA98,1288
river/metrics/expected_mutual_info.c,sha256=BqzrLrC_KezMBJozGrKPKOOoumFy-Y9JoEW_5z_vrRA,399562
river/metrics/expected_mutual_info.cp38-win32.pyd,sha256=LIdXyzEe4GRDZgELNYPMK7rvZSX-1yhxVIhMUQAWLaQ,76800
river/metrics/expected_mutual_info.pyx,sha256=dr9fU0TXtsevWlbbccxqdK6f2knQ47alNV_LqSORARk,5568
river/metrics/fbeta.py,sha256=3MURX-OSHNyIcjkx5nAVI3gNTfY1kZ-5XCmPAqMpk08,12632
river/metrics/fowlkes_mallows.py,sha256=sPK74OkdnTFefpwf60mHehnWexCsPMVlmqifbYjXON4,2670
river/metrics/geometric_mean.py,sha256=aBhVmcv9oQApr69d-kc-RIoIoiMQVjVW6lmU6K7vdAU,1958
river/metrics/jaccard.py,sha256=rUBK-fcwoVzLbtu6qrlrX64kzwArUpDxQq-mAJLGFdg,4643
river/metrics/kappa.py,sha256=vV7pOiqtXQGzZlTiDjJ8aQ0h3BuorXgJrt47Todgf4I,1879
river/metrics/log_loss.py,sha256=MoShRR-MtdAJxg0ZTLqmIk6k4_w79z-ZLRz_0LDrfCs,1018
river/metrics/mae.py,sha256=hjS51T53gn4pd-LJeUfnX5SvLAv2uDgUEeuTtVfgbbo,573
river/metrics/mcc.py,sha256=kuea4YPGBgY-G_KEQXa8B-WaCSiObOT2-AyTQ3PMozE,1356
river/metrics/mse.py,sha256=-hdoABW3U2AmVBniq_TsXhpPGUr2xrIbZnBoq-kQVg0,1584
river/metrics/mutual_info.py,sha256=sdDVtG-1VksAZhheLrgbh8WCVDq6NmnU1ni7kAVwbps,12295
river/metrics/precision.py,sha256=83RDPb-rFOr455iPjdDyzPOhhi33kYL1qnrDM6COuWk,5002
river/metrics/r2.py,sha256=f4PGZjQuZBqFLzZ9B4OzcZYkuedXA3qWSIFtj77xHa8,2274
river/metrics/rand.py,sha256=m0KLxCJd4jnS0qpz-J9FwVkSHDxW7T9YkCRsZyua2xc,6285
river/metrics/recall.py,sha256=_OdhArt3oalGQXHnV33wE7fG4GIE6jHNJlDRhFAN5mc,4431
river/metrics/report.py,sha256=_gUDF-bAdWbIhPHYDz5AGxKqUxKNYgYbiEJJXHP80Pg,4780
river/metrics/roc_auc.py,sha256=TEYOFCfOu4cIPfliccwnsOTX3koo65VEGQ_SdT6nCS4,3414
river/metrics/silhouette.py,sha256=HCz-Re-xZTXQ8LrB-0ejJ23W1jOV9R8S14gyCP0hsSA,3590
river/metrics/smape.py,sha256=WQhtuBrc_wMpu0eTYCAqwggzvIbjVVvvdLMQRBeWhuY,820
river/metrics/test_cross_entropy.py,sha256=XfkInuZzebj02AeRIl-SSuhKGEXiZPg4pu5066dQq7Q,860
river/metrics/test_fbeta.py,sha256=4RiLxbLLOZ_X0GxAByUN4O4zxooS-Yp7LWM99J7SiRA,1906
river/metrics/test_log_loss.py,sha256=f3e4osx8Yxvw_JKg5sCZD_jt1V_jSfqM3bCya8pqXTo,570
river/metrics/test_metrics.py,sha256=0hbz9Jx4OGb5SoPEnxA9kLWyk01B9FvQQCTAlPnCu2w,9860
river/metrics/test_r2.py,sha256=ubKnknglshcm3pJywIlsHB481e6p3a9Ka3dymcc4bBc,2210
river/metrics/vbeta.py,sha256=96x20QiqGF5uI-58XcEaf3SqOsR0CpsW2A0dWKRYu4E,8893
river/metrics/multioutput/__init__.py,sha256=3yosIbfFsn9ldyZ0U2LgV0zOIHjXoagXolqWfBF0qRQ,394
river/metrics/multioutput/base.py,sha256=gnxV9u2fnSvsBekJncChdDsFi3eQEnllCi_PZuLxARU,3072
river/metrics/multioutput/confusion.py,sha256=9Rpjzk2tvZg3touG2ULzKQVQ9C-AaBOcKK3WuQi7-MI,1974
river/metrics/multioutput/exact_match.py,sha256=cOi4aHDlFOfR-x-4mFFALQUe9GLzZVpzrVyZ-I2uN1g,1301
river/metrics/multioutput/macro.py,sha256=_J2CpCzv1ZeEAHVwUrxNzUAoudPdkb06nyxYDiONB24,1465
river/metrics/multioutput/micro.py,sha256=9ShJpKBmvUjcWDYYUpCqyRB-d81zOLGI92t86VDVq6s,1171
river/metrics/multioutput/per_output.py,sha256=4KVJ_oGD24OqCMnsW04rTHy65EiE0vsqoi4gswiWWzo,1437
river/misc/__init__.py,sha256=L1gpLiKZ-kD41SrkHfE8R8vI0YVsdgslFIb7eFITPGA,200
river/misc/sdft.py,sha256=H14kZQpStrZSct06NlYCN2t2XSwmIF_EVddwGtDdNqE,2289
river/misc/skyline.py,sha256=EJmLx-IwCKau3Z_iAems3Ajv6KBkPkRQuyG-C3i53hQ,6025
river/model_selection/__init__.py,sha256=0Qb6Mi88Z4NnZZ8AARxszsvp1SSGu7Uyz-zGDvDWLYI,1151
river/model_selection/bandit.py,sha256=Ocy3bKR9uEM_sYMVKcJ5iuwNRpfXVOXZj2xWbgAK_TQ,3661
river/model_selection/base.py,sha256=emxGE6SLWCmlN2jvYdWPQiDwxlbcOQkSTR7fPMspsBU,2519
river/model_selection/greedy.py,sha256=NjittwjW3aybVCaUnBzI05hnfGyqG2iDX60IVDSfSBM,2311
river/model_selection/sh.py,sha256=4RQG6g-ifg8m_sqsT6Pb-sAkgqYY_M6wC_aRG0R39ho,15453
river/multiclass/__init__.py,sha256=lQINwcZ7DLMAM0CNjqqXwwP0BZEKerrf978zcf0Kaaw,232
river/multiclass/occ.py,sha256=1Ii3C1q1vqbpJeg9N1nsIw8b8wyRQGe5EdFMmy8uunA,6092
river/multiclass/ovo.py,sha256=gnT6mNhqWeMuC6-3ctKUVRR1_m2ULPNZXS6ekh3y1hI,2913
river/multiclass/ovr.py,sha256=s2GzfdhNxI9KlsIFqEur8DAZqK-eyt0XTWWWpnf13vM,4372
river/multiclass/test_ovr.py,sha256=j5yD9QxowB63T_VfXQgvw6gW7v4-fIK523XbYGpnmWM,1272
river/multioutput/__init__.py,sha256=RO3aOFyrjcJgcfAWJcgCn3uQhnXf8z5-rFMRDCIZ0Nw,365
river/multioutput/chain.py,sha256=rRnpLmNWnm40Odih6PCJwXIE7MOsStttVLD0vIA6u88,14228
river/multioutput/encoder.py,sha256=K3ga_gQdNKtESuDlQjuWxZriV8VU5hWoRWP2P1h9BlM,2655
river/naive_bayes/__init__.py,sha256=JF4qDma9eQXccZJZZNtk3JO2M34219MFrG82lRPTSkY,255
river/naive_bayes/base.py,sha256=EJHn5_jtdiMz-LFNc-GgMDC27wgoPIJkmIertwG2RcY,2564
river/naive_bayes/bernoulli.py,sha256=PrEMAnku3E4fzq-04igVd7xafRSH6qHU23iHfuTV3t8,8587
river/naive_bayes/complement.py,sha256=L5v4zd9zP_3oaaM0QFZYAX5rxJZYh3t_e7iDEkSxERU,8580
river/naive_bayes/gaussian.py,sha256=JkKPSZ3OKeI8yNolkeJxM0FccAHOc9NSLvGWjwqW32c,2229
river/naive_bayes/multinomial.py,sha256=c_6I6PfaxCTKBDYDIguto-SkkQpwZeJDL3vWRpi7UpU,8417
river/naive_bayes/test_naive_bayes.py,sha256=kwyrZvVSTCFZAzlIUIsRGYhJuHYMBqfAiIo3XQBp6-4,8815
river/neighbors/__init__.py,sha256=6TTjeSw3aZzPD7tfseMGKKKETvR66WTiENwEDweUiv4,369
river/neighbors/base.py,sha256=yRGmN_8aM701KbmBWAOdfW2qNzRofSKxTvY-yF1uXEA,5253
river/neighbors/knn_classifier.py,sha256=vNI1svc9SqzP71GG866oUgv-7clBIyYIFsBGb53HIWA,7109
river/neighbors/knn_regressor.py,sha256=MpsQs0uSCjp1RDxg-0EQlZxC7AlQ8wsGa37w7HbKjjw,5165
river/neural_net/__init__.py,sha256=NEmjfQDzBPLgUMNWgcMB5AX3WD9AFc7CtYI_E89m8rI,127
river/neural_net/activations.py,sha256=cAfbdCBdGsDeAXZUv1L2UumAZ4sXoxeVhJxDt6-0m1s,1577
river/neural_net/mlp.py,sha256=WJTJ0PftUOWogMfAjAT5ygsS98-l_jari0paV-tzkS8,10254
river/optim/__init__.py,sha256=kzDzrBMwLFsmJCtT9aPzo4Z2sNZblwXO8SXPS357TN8,801
river/optim/ada_bound.py,sha256=Yr3yCaPJKby9jvJyOwN9eqLeh87JeYcD6JDftVb_bK4,2459
river/optim/ada_delta.py,sha256=GcsH7g9EGV1LWzIBhj8XLIKfostXAQgqPkr6XPGMHy0,1851
river/optim/ada_grad.py,sha256=k8JubaKx856XUxVsdl1eGdOOgQ7LsTQaSHIFkGTIMO4,1490
river/optim/ada_max.py,sha256=h3mlAWwKeLcKEmX2uB-LKt9Ti7V8ZAOqiQei5EhDqME,1985
river/optim/adam.py,sha256=--1esBEgy7PNeWdgYlwAMg1SRxWsHU7FuhrA3S0O8E8,2664
river/optim/ams_grad.py,sha256=xytdbnKBSi4mG3IBPipFdLBq3VKr6lrJeILlFIBATOQ,2426
river/optim/average.py,sha256=QGLQKQCZ7W68ikUv5H2MXYqGUquSD1SS-JkNz7jZIII,2839
river/optim/base.py,sha256=J9aksBOlkv_KhTeREWwo_U56uI-pkYuklvD_S-FLVEk,4826
river/optim/ftrl.py,sha256=8RKG0VoB98x18Ggriv0cjPpMspQ-5zY4snjGj5_8Opw,2344
river/optim/initializers.py,sha256=6cwLDTh63oIBkq3cPP-Apwa3HkPipl_MUHyaPmrvvgc,2045
river/optim/losses.py,sha256=Xia1GbOa32ei0o63jXp_peG6Kq_pZv1t9snO93xm-rc,14717
river/optim/momentum.py,sha256=DUkLTP9GgU8_Mf8O5lYdDPGLnVTqtntWz1fNQlZYvIY,1128
river/optim/nadam.py,sha256=qKqvmCj6ZtjBpbemqmaJ2lim9iCswJoD6uSK0VPvDLc,1958
river/optim/nesterov.py,sha256=45hPxM7X3ff_0cN6TYuWC5-35vFKqG7J6OiRDl7Rp50,1391
river/optim/newton.py,sha256=k_GT6XmkfTLeiAOVSRmTa9WAshwoxN3Dag2crFrQeg8,2260
river/optim/rms_prop.py,sha256=RYD_YedaK5eL4HRPRQgNgZx-UTReO7CAJ326OUYkda4,1865
river/optim/schedulers.py,sha256=-pWmm0otedl4j8yOYdhqz9vesA7OJxIUH7GZD1E6QyE,1927
river/optim/sgd.py,sha256=7QkOIY9YPa8gGVNMR13togldwVMMEbcplEYOZwVETho,1299
river/optim/test_.py,sha256=6ilGQzvQznuviYyep5RO0H34kzycDcZp6505ITBRve8,2801
river/preprocessing/__init__.py,sha256=-yTMdPggmX14Dh1KX2222Z_boTfG8xP_Sz9sI2VoqJk,1083
river/preprocessing/feature_hasher.py,sha256=mCZ0JhBOIBubFuxqRWVng6ZNlfz1lxWxlKZfLf8AavI,1964
river/preprocessing/impute.py,sha256=k5nWb1MT3zpvB6mRduwxXDLiJqxKbC71IHaOMJ_-vVY,7640
river/preprocessing/lda.py,sha256=iA7tPTXwLlHqKb1JypuJa7ggBZ0qdUDJH0DKYyZNNeM,14428
river/preprocessing/one_hot.py,sha256=nonsZ3Os6EZfOJCfafn-X52xVxYnC3_Ep-6Pwxvth7o,8121
river/preprocessing/pred_clipper.py,sha256=bu8tCn4rLjhukgUO92jOSdyWP5pYv5BfX_e-LTuqlCA,1761
river/preprocessing/scale.py,sha256=nYQoCYLaRbGpI54DwzAo0cI8fSoQsyjgV-mECVuh6oA,17348
river/preprocessing/test_lda.py,sha256=sbpgttv8TlG5CXd8ffAxqD-0HkBr67D3QvuKGwdpe1o,8086
river/preprocessing/test_scale.py,sha256=td67y21ROzqKy0TNpsNaNAIE6omrXShkhLH6EoTWBC0,1966
river/proba/__init__.py,sha256=NV3FXtYf5LMxJtRSb9XQs1CY60lsidSxfnrZPksC_4o,205
river/proba/base.py,sha256=K0aMdF5rXZCGtT_pUYb_w4fgfFhgahJZqaNV5B8JY6A,2635
river/proba/beta.py,sha256=U-pd6Mf8jqQY0HrBOLdh5ZwlNnhifjNN7vqAZ5lp-58,2803
river/proba/gaussian.py,sha256=Z3WvhPYzwf-PyVvtXJrItyW2PgV3iXZ8CIqYcJS_0ao,1995
river/proba/multinomial.py,sha256=zZzgJX0F6O43KsuGqFG6Wryd3cjVr7rUnTwRWyTF8xA,3265
river/reco/__init__.py,sha256=taOj3NeY4zJXZnaOQbiwItYYnYkbeDUUWyQZwj9DdZM,1262
river/reco/base.py,sha256=AdPKNWs6RPzsfse0YnxH6buvNjWbAP4oj9WnfdTqh0c,2125
river/reco/baseline.py,sha256=CtkUPjSh5Nmy4WRM4EjutFesjDW9kg_Fte8leQzPA3E,4710
river/reco/biased_mf.py,sha256=YuZYClV8Eq1PHRdT-Ujo2HYF_o18GsY4cCoRyfB57co,8653
river/reco/funk_mf.py,sha256=-Rc-VlmDTdIGxVS15x65YWbN-KebCDfn20ggvkQ3dZw,5278
river/reco/normal.py,sha256=5yq3rhpTH8OM_d4Ul5Sns2GdhwID1Q079lH_yYan62I,1995
river/rules/__init__.py,sha256=qx3QuoDBVZltz5VUVPhrNOh7tpL_PUxqwPHKhJ9zBXg,97
river/rules/amrules.py,sha256=HO6iN-LIhO_7ke06hvLSLJ5YnzC7OC3DX0ixUtkzV8U,19667
river/rules/base.py,sha256=r9f7vGlX9z8-6yzFXwjVUmFzX90wIRGEaufr5TiwLhs,9361
river/sketch/__init__.py,sha256=k79OI9BV9z2oj3-K-3PJBQcbeqYfFK2prMaxxxAIHkM,371
river/sketch/counter.py,sha256=6_59TTRXVr-cJm2dAqmpuQnaS7Yf8OmdKhyj6XQBPoI,6746
river/sketch/heavy_hitters.py,sha256=kx6O0Kiy12qhHMkfNepDLc4dUVkySUZBlCEVu-QN7Uw,4848
river/sketch/histogram.py,sha256=SL2OwsEtegck9je0oKd1GfHhDAvXX3Wqa_BQ0jmJbCY,8492
river/sketch/set.py,sha256=YT74Csh0m_sHHsIceY_dQL7VMmeJb9_As-bWTsAFUGk,9138
river/stats/__init__.py,sha256=Mdqe9Nr5k-0tLOpo9CHFzddLgHa6LdkoVX_zEOTjzeE,1322
river/stats/_rust_stats.cp38-win32.pyd,sha256=OkB7KIuu7Ofu6vDs5nVZVfrJM-MW-Kum_dc5o3pFozg,397824
river/stats/auto_corr.py,sha256=mzgUqkGJyDpUQqetF_W8SYkSaBw1wRSyOCbIAT_Fmhw,1667
river/stats/base.py,sha256=uc0R6vjQ-kTupYgtL60VwuuCGnmNe2_jFuFNZKidb0o,1803
river/stats/count.py,sha256=slfeDbWCwBL8FEINrERmecnUmiWq_A2dIeKRVF2T8yU,362
river/stats/cov.py,sha256=fbmtHxWPthDU9IBi3Bt2KebEUdl0FqZYfhyYUDle3AY,4731
river/stats/entropy.py,sha256=D81aeYwiM61Hg6STuC9p6Q8vUBMF0wldN1max4ZQTPE,2633
river/stats/ewmean.py,sha256=4OR5RPYf-JDpfkTo1kxgvfAVgqm5A-DYsdd4Ab9s6bo,1774
river/stats/ewvar.py,sha256=ej4sYpS6R4b1rGtn_LuA0IoRKVSFHeGOR0YdYrKpMtg,1958
river/stats/iqr.py,sha256=vG_cSlgq6TV_S-sbCFsaL7xD7U8BdLsOBQ-84eAyJe4,4468
river/stats/kurtosis.py,sha256=N9_zJtVEotVlvs8FbNu62wRru-ve2jMnTshrIOI-_MQ,2218
river/stats/link.py,sha256=v8tXqJT8uffvF4iJYaCw-txyGDCiWwZVGQb9fYlzXJQ,2419
river/stats/mad.py,sha256=jwptk4ZlNzig1vpIDQ4FXxTJhM7GddOGzJpAHnsKlsE,1393
river/stats/maximum.py,sha256=Uq0CuCbynLV4Il7quLCf7EMU0URuMx6z4qMlMQfoMx8,2985
river/stats/mean.py,sha256=BLBqw7W7qr0asUrmigztQUYlXkxQu2doN3X9dtOs37o,4349
river/stats/minimum.py,sha256=rk5KoNboReIK1OGb05fJjtsBbvif8FqQthzwmHr0l8U,1232
river/stats/mode.py,sha256=w3PiY4dYI0MEGul06kJd61NEjBRuwgcCIhE2zLoZ8Bw,3079
river/stats/moments.py,sha256=sxfeuqCu4EooFq7SMHqpW7dQIekmqecF_48UMLb4HSo,1837
river/stats/n_unique.py,sha256=Dbfldp-Et7dkSPwds8S-bdwXERmbvbfNSdrV4A3TDVE,3142
river/stats/pearson.py,sha256=Zz_PeyYal8UHe6YQn5kVgIJcY_IozbPYWxnxZeP6LuQ,1915
river/stats/ptp.py,sha256=lfZ1eKxL0cRw15kM55ivUUXii_fBRlREdHnhCqza78g,2030
river/stats/quantile.py,sha256=yDEe1173op0mVH5i0LEUD67BTMrYeUyOu6oZqizUON4,5533
river/stats/sem.py,sha256=Td02BQi7xqnavjPvxRDAptTewTVn7AC8M-A-UpwJ84E,1269
river/stats/shift.py,sha256=8WwmEPbvrExd071o8-cHYHpk9udFYkfrnsv4HhT7Vpg,3492
river/stats/skew.py,sha256=1exaGKdqDh1q9RF_A5hx293f9gOMfCEDi3yXrtKiafE,1605
river/stats/summing.py,sha256=Pc7nK88GTQAEec6sqwkJ-eO4HY_BM4R81xErJXwB3qE,927
river/stats/test_parallel.py,sha256=HjtM1liPurAOsh8k2zDipeKqrNbLwlXG8NB6BWmDo9g,5022
river/stats/test_stats.py,sha256=0tZw-pnMmzmhZmSERS5n2pqhBfJ4OR9-tnWVwiy68dA,9668
river/stats/test_var.py,sha256=gcK4f9Rfwq4duJpa-Sx0SV1_IqFm4Mj1LCzQn3ieGY8,1124
river/stats/var.py,sha256=CDnig1bikB1IlxjtolqhlwMjSImUGkT4ZUQHa3bAIbU,4024
river/stream/__init__.py,sha256=KXjASS4f970Y_Z72QSITsdoTSwKqfGhW10z_e-Ql7eU,1070
river/stream/cache.py,sha256=nV5F4mJ0uAvfRZsKK7XOkNUDGkh8TqVIlwS3_p-opOg,4716
river/stream/iter_arff.py,sha256=F_AvZcRWZ96YOODxCIN6rd4-CGNx90aV7U0i70Ea798,1704
river/stream/iter_array.py,sha256=2SyZ_gFlMKOzeSvSBU_40474kz1hsKXMaFqzw-Vs-RY,3232
river/stream/iter_csv.py,sha256=9mPiymck0ro8uFqlXzf3Uen4YxE539QaBq_bGwKMpr8,6738
river/stream/iter_libsvm.py,sha256=UV_q5rGEqqON1nk6m4lPKlt1AdNrJKz63D5QDsK-zHA,2196
river/stream/iter_pandas.py,sha256=xRoYfhjjqeoFaxN-4jbcAbPoYbRCQSFamuy2ilEe50Q,1251
river/stream/iter_sklearn.py,sha256=meWlx-F6XbbJUofXfn-3b2q2A7HDOYBREQ9NS5QgXwE,1714
river/stream/iter_sql.py,sha256=Il2-Zs7QpmNp3dIcPJ1EtLFHPz4Tbu9bTV0jv5FEc_A,3905
river/stream/iter_vaex.py,sha256=4znSh2IIn4Q-EsHc6PKkSmLWwrHYpUl7m8oaFSI3QN8,1494
river/stream/pokedb.zip,sha256=DPyKuKHoTp2fQtNnQie3CB6Ws0Zs0kg2Ck0shZJkXIU,4693
river/stream/qa.py,sha256=8O0gn9AhseP21xEw0EQZbSqTzjwY-3vXZikHjzYcO8w,6984
river/stream/shuffling.py,sha256=xq8RKUaMs33XW18VCQScfSCh7jUgFQvvys6PeNQcosc,2325
river/stream/test_iter_csv.py,sha256=ld7Ri6XQalIGKO6j7VGGR531Mg3Ssq6M3V3SDWN21Ko,1193
river/stream/test_sql.py,sha256=f63bWG71SMDiYOG5fCd4KA22OWeg4DzOw7VayrIyUSU,3434
river/stream/tweet_stream.py,sha256=LhfCEYOIftLK9l0FvPOqBP4ZapeQdwHzbEi2M8Rcsdg,5001
river/stream/twitch_chat_stream.py,sha256=_H1Oy5HM-WV3bfNNQoqekGAzvv57atmZ-T8V2M38eIc,5099
river/stream/utils.py,sha256=r-vVJS7YdFLkds2J3OCzGFDiTB-OU7gNAAJDWqKSOu4,855
river/time_series/__init__.py,sha256=cFZDV5_rZEDfRxo4acmH1R1iRUAp4BP5j3rWK-zAjFM,423
river/time_series/base.py,sha256=Z2b9JO_PefQHqhD98bn_zJMBSrXNrPvAjfb1WC8Uh-g,1076
river/time_series/evaluate.py,sha256=qwrnHGuKjmzrLMzY1oOr6VNV2CIrIfPbThyMOvIxe3U,5516
river/time_series/holt_winters.py,sha256=IlpPD6IPqPHchRLP2mU6a2z3OtQfDWVcij_PmKz-lsY,6870
river/time_series/metrics.py,sha256=GiuLa3ijDHzF2wOYbuslLCE-4kV5lkxKcc37iZQ4uZM,4276
river/time_series/snarimax.py,sha256=CtuuvGI_ea8hoeX7McCjtt3zM0-9oTVc8Tms4prK_9s,12233
river/time_series/test_evaluate.py,sha256=0xVtZW9GM9PHlssVLZC_Ba0rCcCCOIRQNdZ-bTGFnN0,1291
river/time_series/test_holt_winters.py,sha256=UahlydWM3hwGkmNl0Qsvupe_GqpaqLPmRfb8zyLN2pg,15353
river/time_series/test_snarimax.py,sha256=N8LC76YeuR_SYcXd46195idmTIT7TDKz3ElPvvUTHcY,9131
river/tree/__init__.py,sha256=GS8WcSJbKW5gm73EDC_Wo-jp0dTkDsVLDs77v8Z2Gm0,3148
river/tree/base.py,sha256=s2-aI5ZsJAP-JQoKtzN2BW1dNJAWPQZ7YHdqGhuLHhg,6085
river/tree/extremely_fast_decision_tree.py,sha256=3WLikD7EAzpjY5Cg1Jb67VycljC7ta8vo11vLGTO7Oc,22542
river/tree/hoeffding_adaptive_tree_classifier.py,sha256=PKl_LvsLiAYIklIPowruN36yHPc_UjBy2RPXv99ZFWA,9993
river/tree/hoeffding_adaptive_tree_regressor.py,sha256=CBN8cqIPicf3CpN2kpfqhfEJLLKPIuFNo4_t2ivCDhM,12746
river/tree/hoeffding_tree.py,sha256=pb_hASke8_BuWJAPrC0A2CeuwES7bp6YApJChFT1UT8,18369
river/tree/hoeffding_tree_classifier.py,sha256=Y8_BQJ88VuKKrPgiE0-_DBDDYK1am7mPCPZS5XAxh_c,16844
river/tree/hoeffding_tree_regressor.py,sha256=vTLzxjhADei4kxV_rVm2wW8RW2f11pDDNhpvovI7Z-U,16877
river/tree/isoup_tree_regressor.py,sha256=xrWUxIm15a0jNb4T6gcTUVgk10LQb316Ysd-cWalOtg,10234
river/tree/losses.py,sha256=unOxOMBQlqufd0GNadyfafxOCkSkDjRDLw3AJP0f7mo,1448
river/tree/setup.py,sha256=jQafzfh7yHfv4asOGkG2L1_oONJWB-AV3kXVxM3cUqc,489
river/tree/stochastic_gradient_tree.py,sha256=T4xg93dG89bWWzpGrOjvmIz8XJuTKyP-oPbiCccDybA,15871
river/tree/test_base.py,sha256=jJTIWRFrqiTYMCV1cKnSjZpurMv74yFSgq8PMNdDQ94,2901
river/tree/test_splitter.py,sha256=dQ3nts3-gKgGt3tvQTqRClTghSBpPZ3iKMf2AsSoiCs,1850
river/tree/test_trees.py,sha256=NrNNsoOJ6k28c6B4I6Qr0oHDDxqo5Py_K-3Fbm2Hdm8,4336
river/tree/utils.py,sha256=-hAPy_foghuEA1soUJDxIfvIBVq5a-Fx-UPHDoG00LQ,11264
river/tree/viz.py,sha256=8jtwRj3bOPrukF-Zr7GGYmFUVd4pajSLTktk4ACukh8,2147
river/tree/mondrian/__init__.py,sha256=1SsHh0rVb8hKdbcvcXd2bthF3EFrOt5DiJgB4D6NXhY,413
river/tree/mondrian/mondrian_tree.py,sha256=0bv59GWx_BWglgxHdYwmY2xZjuEcWL8RlUqaOlw1JvI,1356
river/tree/mondrian/mondrian_tree_classifier.py,sha256=ImO-Yzs8GRSE50f4mxWZyVZ2YeAB-D8v7yGg6luEHFM,17372
river/tree/mondrian/mondrian_tree_nodes.py,sha256=dlxH19U6lDkUQqnFMdpjUOBVI-8WJ9KgfXEr_kkxpf4,10648
river/tree/nodes/__init__.py,sha256=1wCNuNSJwhi_Jdh_4XtS97EypKA3s7J_Ml-15nyv9eU,116
river/tree/nodes/arf_htc_nodes.py,sha256=NRbIlrDBfWRqUWilUUIJR_vQ_P8fcBNxov9KEePuloA,3822
river/tree/nodes/arf_htr_nodes.py,sha256=CVkQfeMuwsTVWF1RX2hBOZozeIzHzaLal0q_r-R9UJo,3051
river/tree/nodes/branch.py,sha256=COZHueb3Bx1DJbBax1Ti4uBfG0tJ1QiSHp7TlN_vGI4,6051
river/tree/nodes/efdtc_nodes.py,sha256=j8uk0IaA13zZiJ6DQ2grf6sNIM7qPaa23oWs8J6STAo,10059
river/tree/nodes/et_nodes.py,sha256=RTAqckPsT3YQKIZdGYVA8OoqFzFkirFqiRC16FSWo3g,2188
river/tree/nodes/hatc_nodes.py,sha256=brniia3Q9l2tgOl85aIA8tb1B_wpMzciPxJtwtp9PAg,13012
river/tree/nodes/hatr_nodes.py,sha256=xnoS8i7NNE24kdPcyiHAiRWApkfWURiLYgcxKCTuvSw,13017
river/tree/nodes/htc_nodes.py,sha256=dFibkt33XtrKDzKx1cDJH7gu2rhW3vY_Pn3GDzjYoPY,6488
river/tree/nodes/htr_nodes.py,sha256=02f4siPG0blnkuIuCZ2zi6Ke4mxzNuqOIXGBFVW8v7Y,6616
river/tree/nodes/isouptr_nodes.py,sha256=s5iurQ74cst-6HnXbJzMspOXN4nB6qnROkDnbnWtI18,6707
river/tree/nodes/leaf.py,sha256=npELiN_8IzB3QUb-Yh8khWZ-TpXCeuBMtK0Cd23vEso,5360
river/tree/nodes/sgt_nodes.py,sha256=KKJ6uUEN64eSBpuE6t1XdvL5z6vWhapCPARaUiu2zZc,9047
river/tree/split_criterion/__init__.py,sha256=19w6cn7FKJRwemhBr__jktZOIKUxTReayL7Ea_6qMcw,698
river/tree/split_criterion/base.py,sha256=o2ClpWOOWlCEPAHBbnsCcCzFKK4PcxMR8sxZ9SEf1Hw,1240
river/tree/split_criterion/gini_split_criterion.py,sha256=RJGo_69z0WPfzC2IScx2YankcRwAcQYqVAWZ7Y3EGrc,1037
river/tree/split_criterion/hellinger_distance_criterion.py,sha256=2FUgiGr1uFzfiRnNnfK-EaSd_k_x7YkFBDgVDiwhmvk,2543
river/tree/split_criterion/info_gain_split_criterion.py,sha256=9rBRe3HFQJiUtNSTx2_yxlwaHiljankK5ZJ3AYyw_dA,2731
river/tree/split_criterion/intra_cluster_variance_reduction_split_criterion.py,sha256=s1gur1wjI4-ObaD49BKjfp7lpPGceScAs1zQTPU2jA4,1189
river/tree/split_criterion/variance_ratio_split_criterion.py,sha256=8eJYFfX9rss6HSoQocDPctPkmpQtor8Fv73taus8nkQ,1620
river/tree/split_criterion/variance_reduction_split_criterion.py,sha256=n-w-EUEsU8FwXRCzEHIb1Qx54QEZoI5fx_RB6cSF4Ag,1611
river/tree/splitter/__init__.py,sha256=A18omihiapiNCkbWD6x7t8gmM47RglWPOdqjQkp2Jfk,1570
river/tree/splitter/base.py,sha256=rUfZRsS-yv-Y0BQW3VlcI7rt5ml73pCFC72k2e9HqTA,3419
river/tree/splitter/ebst_splitter.py,sha256=KnlImP7SG0EMLpJ55PAKWUYcQN3sLCNGeH4J7ZoT-wA,11556
river/tree/splitter/exhaustive_splitter.py,sha256=7XjJUblOVShxQFbwBpeoqREvdigqDprm_0S2OJHA2gU,6842
river/tree/splitter/gaussian_splitter.py,sha256=qbBYC3cGrxDXHC5MtEzBRCfcavHI8I5FPlIKqrf_nPg,3903
river/tree/splitter/histogram_splitter.py,sha256=V0WYFALT7xz8WQgnv3v6wCYrdXaqy9HY3eiB1DKl8Ig,3586
river/tree/splitter/nominal_splitter_classif.py,sha256=A8Z91xubd8NoNEHFeObf3iMIryPj9obkxU_u6w2DNoc,3930
river/tree/splitter/nominal_splitter_reg.py,sha256=2aed0m_pNp72JFsxuIPcN2ka9Iz-Aie6Rbtl6KURj-c,3392
river/tree/splitter/qo_splitter.py,sha256=gOSHeRBwgKuytPpYFzQCMCUGaQH2Dqb0tgrzbXAucVM,8538
river/tree/splitter/random_splitter.py,sha256=4xMJg_VEgFtKKvf8Dy9THz6jtGMfw3NyHoVfCqtXKwM,2683
river/tree/splitter/sgt_quantizer.py,sha256=UTZFoHLJCsMZouiTi8aj-Bp93cdAlxWPY0J987bx_xk,6069
river/tree/splitter/tebst_splitter.py,sha256=JT4i2M2C2wWGGZJnmzb2VY3lttH6_VxPAjH4lyi6Apk,1054
river/utils/__init__.py,sha256=G29Beu-9qX7SBeuSmAV6U6bSpi7F9X2crXbS1DMzBzY,614
river/utils/context_managers.py,sha256=bm789oCtR64Pru_iJYERLaoxfDstLM2Wmb2tqKcxYuU,80
river/utils/data_conversion.py,sha256=a-YgRBc0xbsB9U3JWcVMPquKj4eahcUjH2Wbci7-oP8,1523
river/utils/inspect.py,sha256=tcgNFYktFdkNEFSEd97C_6su8zQFbKLcmbc9FlX3dGM,2841
river/utils/math.py,sha256=KhluJliqU8JCffrRmP1bV63300gtT-5KHeXQuP7d3fA,7182
river/utils/norm.py,sha256=mnB-Vl6mg50Y6adJGMe0Lq5Nyi8lMgm6Mk1UVLjP3Kg,1928
river/utils/param_grid.py,sha256=N30qRxKj8IJUye6z6o1lg8ZAkPpZC7DJbO1AgaWPTHQ,4940
river/utils/pretty.py,sha256=RI5UIqLkNUZb05hKK9KG2xy9-Iy9JnVAt4--h0i0g2g,2015
river/utils/random.py,sha256=UydgOzNouV2U5FoZ1wIlzFda-H1-EE00PcqKepUjG-A,521
river/utils/rolling.py,sha256=FsLfOAZ2juwa9n8nsYpSsza6CQ5YPPXewghjUPds6Dk,4192
river/utils/sorted_window.py,sha256=w4LGTcQ7nvOeAeekysb5tNcMb1_Ozp0AWT7ZqHuLeys,1337
river/utils/test_math.py,sha256=Nv9bndOLEIx5wO7E6kNz5S2B5FXePaIOhI6yelQr5lI,3465
river/utils/test_param_grid.py,sha256=QC0VFqNiEuRt0196Odx0fpDwPuwn0dpkhuR1y2S1Xf4,2147
river/utils/test_rolling.py,sha256=r6yGyP7SITPuB2bYdHrrkitLMPqiBEHssLZmu1Bzrm0,855
river/utils/test_vectordict.py,sha256=Q1-ZA-jrQIroM3c5tNf4sJT90ptl4bw4-4Nvs10FV7A,3845
river/utils/vectordict.c,sha256=TGUXN4HH5rHW8RYxVoxxBVU9X1MC0PUpoTQ-14w1QAs,1017308
river/utils/vectordict.cp38-win32.pyd,sha256=wWcHfrpWTMHKVA2WROjPlycyXI0X3mOGuB6ymibuBCw,151040
river/utils/vectordict.pyx,sha256=l7H6VBzVdmZ2A7R_zab9pfzF-U__-kkZdIMFl-TNess,19286
river-0.15.0.dist-info/LICENSE,sha256=loAsYtfCwlCuyfjFl4cIqOsOtNWey_T2yImRFJ7LwPM,1557
river-0.15.0.dist-info/METADATA,sha256=HwozsKt8jzanC9bgsQJ-vXiBLdBuoYQ8OVZLkdED-iY,11728
river-0.15.0.dist-info/WHEEL,sha256=Q7KGyTRxVwi3WXoWZ0tr1_wclwXGEbxf3IXLj3MR-7U,96
river-0.15.0.dist-info/top_level.txt,sha256=C2yV2P_v-trwx59S7YtVavq41mDIUZ79-zN8I3BlKn8,6
river-0.15.0.dist-info/RECORD,,
