river/__init__.py,sha256=lkkDebwsoWaCZyjuzLYWqJR6C79zW7eGvNZ6Rkbs5DQ,669
river/dummy.py,sha256=CtEsEK4lf9sANZxuqjpvNCOC8zWdR7-gUwgpRJWivv0,4476
river/conftest.py,sha256=LEpfrtPopI9FwfJRBm1oKcFSYHkkD8Te4zoHcrZ8Qd4,581
river/__version__.py,sha256=YWIFxWhQ1jH72xiSpVHED-eA7Jk_D5hoqducCdI_Pxw,114
river/api.py,sha256=lhpM_B_QEe6NTS1HKjt5mehA3rnF86A7Qti5Q2O4jsA,1245
river/test_estimators.py,sha256=e7qpcqntiQ9xWXJEvyxVMGw57bKFkoU7pqXixHtxgcM,4089
river/time_series/holt_winters.py,sha256=jczfaixvH0ADoUONp8rdoE-5QoqczviZ8RCeBC5GGHE,6681
river/time_series/__init__.py,sha256=kGQSvI5TiuyYxvGcO-iZ5CL2XAzw2DHh88nrtYmWMm8,442
river/time_series/snarimax.py,sha256=fHB6lwGuLOmBSo8aD7D3joLGVV1CvlZdU2MPYOgPRWA,11893
river/time_series/metrics.py,sha256=6UUt7-dbUNsTFzB3tBeoPSwYf1ppQC-Aofh3t8eOh5o,4125
river/time_series/test_holt_winters.py,sha256=ll_9bDwSzBzMK3SN_cdC-AKsaf5PZEXMduK-0HSvvWI,14993
river/time_series/test_snarimax.py,sha256=lFbxneFi1VGMfv7qfjkXY9doGzmVUMYzJw349_1gNzY,8892
river/time_series/test_evaluate.py,sha256=eAeSjAzRbhkR0UMhhYEaSWFCl8xHrjRu-QQcV7Slknk,1283
river/time_series/evaluate.py,sha256=vFvXYFQRXkhs2y4ybre5alqPUZBydB0aIEQ1-ePAgg0,5412
river/time_series/base.py,sha256=QKNvX4c1IOdJRYk5lBQ8h587vxNWYjzDnyp6STG7CjU,1041
river/tree/hoeffding_adaptive_tree_regressor.py,sha256=0H6SdfnaAQ-qzrrt1UQSmSKs2LcqLYNnkeoLrhi-upI,12462
river/tree/hoeffding_tree_classifier.py,sha256=dtixoAWNMQ9ZzztSfqovRaRbqZnBx2Lfkfh3Uu2Tqkk,17431
river/tree/__init__.py,sha256=_Q5rHkmMp6tMd7a63-UdMQpvK1gPiyaPiHAJ_gmgMS8,3110
river/tree/test_trees.py,sha256=G1z5NNR2K7v9HiONpCUx__BmX-5JaiFxYDgMYYXS2Hk,4205
river/tree/isoup_tree_regressor.py,sha256=FUC95cgMzhe7iOZqsb0IQ8t9yJrH65MiMKVxJSzQmRk,10004
river/tree/hoeffding_tree_regressor.py,sha256=atpcMxgz3qRtPJFI4JoosXGMML1iXczFTHJNXM1-4PQ,16524
river/tree/test_splitter.py,sha256=wnJW4ipefbhwjio8GfsJzhYv2f9354jLpx8iOhtKeK8,1820
river/tree/viz.py,sha256=Nrm0Iaswg2D-9s6bOtcDHM1mkoVApkoCfTcsWtaFtRk,2023
river/tree/hoeffding_adaptive_tree_classifier.py,sha256=U4nlDhX-YW_mtrAksuRVKLF5yta4BZ9dbG00YvC9rhM,10592
river/tree/setup.py,sha256=aIDd-H7zXs3LIUdVPTZhX5O0ZCxb3b_4fhkKI2mwgXg,507
river/tree/hoeffding_tree.py,sha256=ZyJTDYA3DySaNO1zhc7u9wAr5wbLYNfL5saz4k4mStM,17829
river/tree/losses.py,sha256=oB1uHPTtPqfx8_frmqzXPkdkUN_10f2_G9lCi_oAS5M,1431
river/tree/extremely_fast_decision_tree.py,sha256=fxrJcbFQ9gqRe31U6-FI_uPC8EdmrR4O1XEyApGDaRI,22830
river/tree/stochastic_gradient_tree.py,sha256=M-LxX6nGkjvevfIUJuH5CTko5MxrlnfkVnhnY4S6s_4,15435
river/tree/base.py,sha256=9sfoFFLGgg6mH3DdsXVGDFVh_6eze-o_7VJ1vb-HmI8,5827
river/tree/test_base.py,sha256=RfU2lrpGrNeUNXzTHBon37KgGmbsesqpNlPHNTmuWNU,2821
river/tree/utils.py,sha256=V_Qc8_7b1CMNDZoc6iTxBGzSzfRYWFfW65NITWH8ovA,10814
river/tree/mondrian/__init__.py,sha256=iDCb8fvUDipeCVKspBXaqsKI9TPrfVq7ExdN9j4Mgfs,538
river/tree/mondrian/mondrian_tree_nodes.py,sha256=DMSVH_rSfI8wbmQ1Wk_clkPiD9TcBpSEqlVxJ_mwj6s,14577
river/tree/mondrian/mondrian_tree_regressor.py,sha256=nk915ZPub_7G_Lj73wjoMJIfWSJE4pANx3GsPWiXgcA,14202
river/tree/mondrian/mondrian_tree.py,sha256=TF7meb1C0Y3Yoe9LHq016Y5v436l7AH17NqEarIi6vU,1276
river/tree/mondrian/mondrian_tree_classifier.py,sha256=iLBQ2lo1e5P2Fe_6Ss7ZN-9hsnCUreo5leFYamach0I,16690
river/tree/split_criterion/__init__.py,sha256=nitnxf8oX7ycgweVK3B_h_ZS_rc4q_xrJGAEkFyDBsA,717
river/tree/split_criterion/intra_cluster_variance_reduction_split_criterion.py,sha256=ddl3KQ-Wq_PBe_gNjk8quoUBSn57MDj7fTnVWsVC11g,1193
river/tree/split_criterion/info_gain_split_criterion.py,sha256=iyFAVelnyee2YCsIinIGFTc6KWdolLOPYAB2iokhJSM,2601
river/tree/split_criterion/gini_split_criterion.py,sha256=zCq9kcYtRMeFgR808qmbibOwI6gCtQxS_RH3vBmy3F4,1803
river/tree/split_criterion/variance_reduction_split_criterion.py,sha256=Pl91vZVOvTq27AUbo_S8je23pKLl126NPGHaO3DtaSY,1600
river/tree/split_criterion/hellinger_distance_criterion.py,sha256=A6Hgvgto0Vfhxh7pHeIW9MnGO3gGPAUrnLH7xkhL6Wc,2431
river/tree/split_criterion/variance_ratio_split_criterion.py,sha256=X-rd52r1jrJnNjmtE5mVI5Ov-5gc8YHko6yVmFOnVfU,1602
river/tree/split_criterion/base.py,sha256=_LjxkE45CiiXEQdQfNq_eavuz9mYN_hVFlmi1QTrMog,1230
river/tree/nodes/arf_htr_nodes.py,sha256=3y2-dZqG8N2nuMaGr4doYJ22R8QRCCBvp_rwjy1vaig,3001
river/tree/nodes/branch.py,sha256=BVcW_OXeOulAousHDKXHqMAT6YFS7CfkP9tHzjimuNc,5883
river/tree/nodes/htr_nodes.py,sha256=B1LhgocNqpLU38ASa6ys4UVishI3k42mw1osVLVBNmY,6465
river/tree/nodes/isouptr_nodes.py,sha256=dPOkfIPvrHnf79HKVZZNXtqzUWnHDFVslJtjpvNP2vQ,6573
river/tree/nodes/__init__.py,sha256=keK-o3WcSGL94Zf6zgO4OlIO3WFElT9NaPvzUyWdUrQ,112
river/tree/nodes/hatc_nodes.py,sha256=DKjEGi42aseDk5uMP03_rEzrt-JRDQbejMmzZ4p9YF4,12685
river/tree/nodes/sgt_nodes.py,sha256=zxEkrPIq-Mp0Mxqq0TO9RG0HPfmmcScalxwjsLG2VkY,8720
river/tree/nodes/efdtc_nodes.py,sha256=WNdXzcY7eX0YYRcx39DSfzCDFKnpQZtQeZOzB_sQJxU,10117
river/tree/nodes/hatr_nodes.py,sha256=SpYL2PDboT-RBXMPslf_1dxIKYZtOU1iiDf4GdQuklw,12701
river/tree/nodes/arf_htc_nodes.py,sha256=pEzJbhfEv87WT8v57CznwSgKoFFIPZLzCOdk74z0lRw,3739
river/tree/nodes/et_nodes.py,sha256=u-q7vgMzwgvZA9kBQoaStedfIG9PPtTehtHg8NXrGUE,2162
river/tree/nodes/htc_nodes.py,sha256=Y89ZqO23rOVXXR4VtCFoVQUsTH_Z8Zb0Q0ip4EtzEnw,6783
river/tree/nodes/leaf.py,sha256=thA83OmEHObC3xNhjMoWYjzxGvUh7BZsvvEVDR4r6bU,5201
river/tree/splitter/exhaustive_splitter.py,sha256=-dWl_j6QXeVznUjyvEK4590N-Vwc3nXjKjqUuQV1MnU,6706
river/tree/splitter/nominal_splitter_classif.py,sha256=Nl_gehBwMgO1Urv_5lo7KGxrwZzwkBCiKo4bIVO5Sow,3863
river/tree/splitter/__init__.py,sha256=oLptIo2msSAEn8QOeTDB3C7W-VMQS77feKBNbY_SuuM,1568
river/tree/splitter/gaussian_splitter.py,sha256=vQDYseNqQn1ddSOtjJENjCGtkF1mqD7JBZoepn4pvdw,3807
river/tree/splitter/sgt_quantizer.py,sha256=ZP3v5jnEcCNGxkA7-UHISUjA8IT2-iXisYHoxdFGfc8,5892
river/tree/splitter/nominal_splitter_reg.py,sha256=Y6YHxINBnW1x3Akzuuloi9-hh6_pLMoa2X7bguRreJc,3339
river/tree/splitter/ebst_splitter.py,sha256=K2iz_S-ZYGoRivTT96WVbPqHCKuZt3H0d51M636sHlY,11260
river/tree/splitter/tebst_splitter.py,sha256=LeFDkByKbdL5QAO4mglaEpeSWRv8BB4C9_XaioH0Xo8,1058
river/tree/splitter/histogram_splitter.py,sha256=L6uV1xx7v055_V07ZgKw9cZuPHpzaXQxDQtkjLG5_zA,3499
river/tree/splitter/qo_splitter.py,sha256=16VwNSuMxsDRkZpdvaM2KhPURt9e_KhcI2wV6ORDBbg,8191
river/tree/splitter/base.py,sha256=sWjR-T2oRHuYu4yQgHcc4fqhBGZGaUdkkRER4pSrNGs,3308
river/tree/splitter/random_splitter.py,sha256=S8ex85HtTkt5OB4m6rZ3XwvkGbetACWJQaxfZ3Uc_NU,2642
river/evaluate/tracks.py,sha256=qjHdNiqUmkNt80t05JXGi-6md76eAb7_pIefg8t0q3A,2971
river/evaluate/__init__.py,sha256=uh0tqaGkF1RA9bdY7znGDYyNA_ApJbCJ21t33KHRhnY,1111
river/evaluate/progressive_validation.py,sha256=SE1J9dmUP9MOttDlgQ2z21JrrTFE4VQsOZ563RDSXas,14379
river/evaluate/gen.py,sha256=R6tiuKHxWihEXy6spP6IYCrQ1oCziQZzIJolGc5Xau4,2137
river/proba/multinomial.py,sha256=v6NjwavQjkIJmcLX5KX59tkndpZOfuW4bvtDET8rcPM,3154
river/proba/__init__.py,sha256=WplaA4hrbM-PrrDwpka6KvKOksCSL2g1pKrE-U1ozO4,280
river/proba/beta.py,sha256=UqjZaW-IMMs6bXChBYUFt5b73HtYbfCvTTczBv3zx34,2890
river/proba/base.py,sha256=V_TYopyWQpWlfzQZXgToAY8YL0Ru2zVhQJoP9hybgl8,3267
river/proba/gaussian.py,sha256=N_XHv7gjqhi0AQaPGjXStjTuPnzn_VGVGvG8CSJNfVA,9376
river/rules/__init__.py,sha256=z8-sHEyIEaX9grET2hTdAi8OnCjoWitfWReyipNgVXQ,127
river/rules/base.py,sha256=zWuUhrz_X0g_jjDMJQtD_BE8b564uZ_0ogAlzLkSRr4,9086
river/rules/amrules.py,sha256=BDr3InYP7WSMC6SCkvH_gXpqDK91PHlonhFSkfBT8Ak,19160
river/conf/__init__.py,sha256=LwBgJGmd_RsTCOe5ul1Dx1YHXRFfC0bTal-8bslfgnQ,292
river/conf/interval.py,sha256=WRmVFwrVlP-XNmPVWXuqtvU1tglQvEnFvzI77x0aR8c,864
river/conf/jackknife.py,sha256=DBrDklr7HcenuFuvRifbKfjuJnuUxAufXdrrwmI0O0A,4721
river/naive_bayes/multinomial.py,sha256=C0FZWJMhPOrbgUfRmlTe9xX2mxjqw1meEsmxlZ5bJ-M,8160
river/naive_bayes/bernoulli.py,sha256=_Ap4QI1V6oVuRgGA-7qyxJMH3hoI7sWpXAu8nzcPgsY,8326
river/naive_bayes/__init__.py,sha256=AnfBbpXE0zqBlv-eTT3dlTQrJjIN52KV84aOPPDVMa0,284
river/naive_bayes/test_naive_bayes.py,sha256=NkkHOdTDqxTo2iO2ewIvQzrNrF92rzwoKh-uw9SK4-E,8609
river/naive_bayes/complement.py,sha256=I6gIgJqMUQi9KulwBh6iqOKoLP1hKy2EqstWH-Xxkio,8324
river/naive_bayes/base.py,sha256=6nwuPydIOBBGG7P_E7_DvoEDOW90zCW6F_QsFRxZZDg,2509
river/naive_bayes/gaussian.py,sha256=utDxQqEBaGAThQjUqsYU6MCOT9db7VuS9d5F9mcyVig,2185
river/active/__init__.py,sha256=vqrpLwFUo7MTICuBFkJb8He4Tqe0rmszt8jHrmxaSW4,159
river/active/entropy.py,sha256=apyzMX1vbC3IjsfHD6iujIMtFotBRZ1nJh3o0K17mcA,3137
river/active/base.py,sha256=Xr_y1a3xknDVTMTVsGvIql3pcCynTSjRKIh0iXNOeyI,1884
river/imblearn/hard_sampling.py,sha256=9WZtKCWOgGO1im2BA3Dcdj_ZrKRhzv_4Fe6XQFHx--s,7150
river/imblearn/chebyshev.py,sha256=xkcJNmkDqpLUCArgiC4DxXjS-OW7VxK8m-s07ZOZ8Ok,7151
river/imblearn/__init__.py,sha256=RjnQoH_XyomgS9tUBwgjQDhNYyM94-pBI99OL41D7tw,476
river/imblearn/random.py,sha256=UiNgF_kGYXg8bz-trz8wSoUAYwUGbkPnpVYGikch_c4,8047
river/covariance/__init__.py,sha256=JHhYZorTLflt_n5xLnnYqXW8R0O0OM9f5WyncP3Hf9A,212
river/covariance/test_emp.py,sha256=Hy2ueeODSsvhvCz_UKH_Fvt9AAtClc56iPNVu5MsY9Y,4922
river/covariance/emp.py,sha256=y3Wz4rJufNSSfCOczjJXlqp2c7GN_UlWTNrAeqNv9-8,9325
river/misc/__init__.py,sha256=TLvTL7gTVCMwtCUlV0BoJlpYOqBMQBdcxvzAzAO2WKc,227
river/misc/sdft.py,sha256=V0cwu9xgCH9u5AoNy62Svb2IZtjzGoXp6B8Eu_aCF4A,2253
river/misc/skyline.py,sha256=ifGBWiBnvOt8TI1bf5sJ2KL97pdZi8IkX7WZ-ofVPWk,5881
river/compat/__init__.py,sha256=sWB-UuOr-6XGeslZVb-qaf6qq0lYGrgZNWoCUuzjgyw,1027
river/compat/sklearn_to_river.py,sha256=Vod6uI2-xudtidZ81g0WoD1y2XbcAIPnwvniLcb3FWc,6370
river/compat/river_to_sklearn.py,sha256=BpbOC4JaW6QC4fDf0WgaIUjmq7dynqEiYgKZpBOjW20,18335
river/compat/test_sklearn.py,sha256=kaDpLhUxhGvMA61iCzgkwuTusHok8i3-HcwUCLUSdcY,2917
river/sketch/__init__.py,sha256=mmxp7GcG7Ds7X8BUqoJDux1_tVhCqClsOq61xYmiYKY,395
river/sketch/counter.py,sha256=o-7SU1z8iJN2YaauomXvQo_DgabVF7UYN2FEbZtnc1U,6591
river/sketch/histogram.py,sha256=x1DD0nRd95AlTK45DFIR5ApHjVdWOZR3S2GK20Z8PEA,8349
river/sketch/set.py,sha256=STPiOrgCXGHKoJiwXK0LEoPJmt4rQsv7xInpwIMc860,8904
river/sketch/heavy_hitters.py,sha256=BdYpNhFQa8l647Gr9wLjAi5xhxFCYXCQdv6MC-VS77c,4731
river/bandit/bayes_ucb.py,sha256=VQTi3Y9akxw5g6n4VlPJOvuAPBuJ8HuTnVxjdY8bQiQ,3097
river/bandit/__init__.py,sha256=78hrNrAFr-nn0oPioXtyRolhpQiu6h93CmP8Q0i2MoY,808
river/bandit/test_policies.py,sha256=K54sBmuMmOM1tAwvUjN1n-RMYM2f0gJh-nm1cJDuMkU,3322
river/bandit/ucb.py,sha256=5yweXL-Ltve9QD6-3ZoQqLKmF5fT0IsqNjKFASgfO2k,3732
river/bandit/epsilon_greedy.py,sha256=_tLZ3YsDlC49fT0SydJe-Fwd0ZXHZ_4kjRq2_jdBO8s,2899
river/bandit/exp3.py,sha256=l6FtKttv-ojLenLhvUo-z2rhEOWnBE8cTe-vibK8VAc,3818
river/bandit/test_envs.py,sha256=NPp4Mw4tuOBRnASVUpyLXr8RZ2kC4lsSC20B6c4bc_w,469
river/bandit/lin_ucb.py,sha256=QASdY6h1XNKj1bEF3ZHbsRh8T5bZ3_BlgvLscC9yfSU,3227
river/bandit/random.py,sha256=1mTSUYF8OddAY5-ZoZexMZrw8h_7HE5YSVaw-pmtMmI,1685
river/bandit/evaluate.py,sha256=NoVTt9v2XnYeYp1VlcWnBlqsof8lyBu8_NLLmja_yNs,9321
river/bandit/base.py,sha256=vQhlKEWYA-lH9tnNgRD1ZYTipNDFhqiUkXu19SxGoS0,7149
river/bandit/thompson.py,sha256=ZrsFyA4baQtfL0I-U9HYjJt8Nmlp71aiR0-eCcFMSio,2807
river/bandit/datasets/__init__.py,sha256=fT7jyJ5sEytlgNs-heu0ygElgrjLoDj4idpXd9ycoLw,144
river/bandit/datasets/news.py,sha256=XuJ9uv9yC3PWbV9rJpkaxW4G1rq8ioytvhEaOOJF-QY,1677
river/bandit/datasets/base.py,sha256=RLlMqWHZpp53vwx-_99ED2C2a8HeKtHKZu8n_UW8UhU,1198
river/bandit/envs/__init__.py,sha256=itdCvnUja_AUpIzsrnecwQ9wK7K30KDxv0OEsfSRxYk,869
river/bandit/envs/candy_cane.py,sha256=WvTl7p1w7TK-dsTgCADSN5g6rHFOBGAcQ8VrZNE1ZtE,2736
river/bandit/envs/testbed.py,sha256=2knGmGrRU23JaVGO_ajkKfmu66XYreCBlcolEbAi1EY,1308
river/multioutput/__init__.py,sha256=lcyRpJuxILSJi5ANT4F_mPfTVotK4w_NN36fEL63yUo,385
river/multioutput/chain.py,sha256=GAU_fs3b7n1myx4AqT-9ajgWPw4pPOJ9wCFICY-9toI,14162
river/multioutput/encoder.py,sha256=_bWdaJODv30sRxInrC_7G8pGzWoGvCvYEEBWb6oYS3Q,2613
river/reco/__init__.py,sha256=lVoZ3Nqi5hA52ngQZ7mSuptRC_rGTWfIjZEqsabZiDA,1274
river/reco/funk_mf.py,sha256=eA3f-7ViZDlYcB-ejzMlj4qHIP9qzr-MxX_tu1XG-tc,5183
river/reco/baseline.py,sha256=GvJt_BiIUFFh0_o3cDideb8ZPXdnCvdpxLh25D2mMO4,4628
river/reco/normal.py,sha256=qwiWqvysXuJIMDiTtJN6pmod96hizXhbmz8lz-IIiO4,1965
river/reco/biased_mf.py,sha256=U7q3LkrSIZtGvMR2amW3ZLRFmJfcXvSCKRSmxHH5-Qk,8497
river/reco/base.py,sha256=52HTg7yU6at2TB8ertIhh_g51RqKSsBnJlCwf2MO06w,2119
river/stream/iter_vaex.py,sha256=oM3C8Zhf-wAmKThYA-ECPyf--37hfDo5NxIs19QxSiI,1444
river/stream/iter_arff.py,sha256=9J0Ds4iAkCJabNiU9CJk-m3Psl9CYU6ZZJPxlHPq-mY,6374
river/stream/iter_csv.py,sha256=mjN7lkoBJ3sGEbzQznqV1yBDmPdQ9EU3KEWqXybq4-g,6583
river/stream/tweet_stream.py,sha256=9wbam0Do55M22DhJOC2q2tIecw0cPSWWXwGqidtl2kA,4902
river/stream/pokedb.zip,sha256=DPyKuKHoTp2fQtNnQie3CB6Ws0Zs0kg2Ck0shZJkXIU,4693
river/stream/__init__.py,sha256=LZXsRxFNf6KJotP9iSzAkxTp99abEPYfSkz2STZ6osI,1052
river/stream/iter_sql.py,sha256=CGkOov9YpwicyPF-G0m_KyNAMPi1X3GYV5_eYFyJf3U,3807
river/stream/test_sql.py,sha256=_f37ZaI54W-xBSkU23I3y5EFhZlzI9t0_dnZkhiQiyE,3350
river/stream/iter_libsvm.py,sha256=GqB-SXRc4G_z7BRIguUYKTBHKfgLeMpz--j-7Ql3QdA,2156
river/stream/iter_array.py,sha256=PdONWRTQ8vL78vCJa6ga-u0LtxVPMaP0s0uMCplbkaU,3161
river/stream/test_iter_csv.py,sha256=APGaM6zl7C5X93-yapDrTHg1A4e6Qp365NB0_cQvpkQ,1183
river/stream/shuffling.py,sha256=INIA535rBTTlWiD0VbPtDCL_613khDCH34idh0LvMLc,2288
river/stream/qa.py,sha256=1rJIC6tvhLpbst3FgpBv_PPpuRMRcwWuKHHlRrt3HhY,6803
river/stream/cache.py,sha256=z66yT_42hYyd8wJT-_iBbu5FhHOjTedZvXI7eTk0li8,4592
river/stream/twitch_chat_stream.py,sha256=UYBiU5fWhxisT1rBIRG8Kq4r698uf2yR0yj8WNGw5Gc,4966
river/stream/iter_pandas.py,sha256=81ctjSBao2qMxqe17IwxSglv-k4j8uQS-dSf7KVg1Ps,1218
river/stream/iter_sklearn.py,sha256=FZV1oUqOBwnn5Fn0MLhCa9DbmSMDvnD4HCXd_tNUw0M,1692
river/stream/utils.py,sha256=7F2cRBRMbZpXX9VOTB4cvRqD1XbkkJuKykopSesSpM0,859
river/optim/ftrl.py,sha256=GHXxiyyAtYwcDmv_02yiW--GThIBeZR1ZzKRG5eiKUU,2299
river/optim/test_.py,sha256=iJBN3Vl8oLB_lCVOoECh0Dbg3mp5DHLhfzQoxLg8k04,2746
river/optim/momentum.py,sha256=7awedg_KJU3iVLctYdyXROVCSJmzXK8I7gttZc7QBEs,1113
river/optim/__init__.py,sha256=xw_V9QVWgAgwr0Lre_DlZ2kA5LATdtvhqJjZ85tBVKA,801
river/optim/ada_max.py,sha256=a6dX0bhVOoldCuuLokameAirrBN4oX_4Ht_0UZnF64o,1951
river/optim/sgd.py,sha256=xR5T07a56M565vNc9RXt-g5fDSl5WbCjONlDCTXbvt4,1285
river/optim/ams_grad.py,sha256=t0wAZQq_zHsY8Ti_MQLJ54DnRO4fQi0g66zWnA1MokY,2336
river/optim/nadam.py,sha256=Rv2M6M3jat9E1cZ3aENqqpxc5bEvE57cff-_Z-CCPC0,1921
river/optim/losses.py,sha256=Sxmo_U3ecVT08vLTGltbhLD7qEojA8ZiBGAOY2_lg5U,14162
river/optim/schedulers.py,sha256=X9BlDh8A1qmx5jCvT5MqwhdvkVXR_eH8wrlqFstQ8QM,1849
river/optim/average.py,sha256=VaC79Cta6-GLDV79Uuotm2-VW3lr7IxKpLlz7EpwquY,2760
river/optim/nesterov.py,sha256=5phgWE1FO_thsM1sfw-CmphDdoPArtPlkLG25Dc87Ds,1364
river/optim/initializers.py,sha256=KDCgr-kBy0p8xQ6DtQUNurPkpkAr4Ybpln55qRb6k78,2090
river/optim/ada_grad.py,sha256=r4QaqrgPnyVzUBAAap98AIkHuHNoSxtZW9wqf50JRl8,1467
river/optim/ada_delta.py,sha256=BvoFemcRE_Gj5L9ZG-MSKo1nCaWyUu1T6aN1liS5y3s,1811
river/optim/rms_prop.py,sha256=ld3UtezSyCdYaYze6FQbzjJqXUaB9yq-wI7KuIdWO24,1825
river/optim/adam.py,sha256=iQ-h107HHB13gUrQzf7euHaTgLWGsbKX03UCF_9iO_Q,2603
river/optim/ada_bound.py,sha256=LMcp56oEkLT0-yh7sJDXv6C066nEkHC0jeE28ECqhsU,2410
river/optim/base.py,sha256=KHl3H6jZQAn1AM-gli0wp5BiPRx7zHqWDdpSpzGNTZU,4746
river/optim/newton.py,sha256=IjTbQpYRIPR4iG-25TbLR_sNUkq02OYYxT8Uz9a04Mk,2203
river/stats/link.py,sha256=pDB1IM0Fs0w3RGSGI7NHmQqR_sfkwMzprn3aK6wtdVE,2371
river/stats/ewmean.py,sha256=oIMKkrUCtKJbqDkssmHaaHFG8ZRTu-m5Zhl5ujGNMvI,1748
river/stats/mad.py,sha256=OJgQIzibvSIkGP6ZmjpTjrOk_QYcfv9iStiAcgFEzyw,1379
river/stats/__init__.py,sha256=BzoKyzXR9RC0onIt0RvYa--y8ZJOaAc1zLuHh8RQQbM,1297
river/stats/kurtosis.py,sha256=a6X89Kd_7DGVQp3ALQeZP4UjLz5alqsfAu1azz0bTFo,2163
river/stats/iqr.py,sha256=r2ELk9QV9wM71ilDz9BWDJHrKTl8Qpr2LHGzivR8SsE,4352
river/stats/minimum.py,sha256=v9A7-KFg8_JsXlFbWdf7xvJpnCJv1zJ71NRGxOCXFuw,1199
river/stats/n_unique.py,sha256=9yU4FF_0CG9UtOB9ydUugRUDzyMPTw2wqMuqmis-AFs,3085
river/stats/cov.py,sha256=hfTvqMtTYDIn4pQRWHgUqZPRu8Lvtwpe0JZKxzX9I-8,4592
river/stats/test_var.py,sha256=t1gAYSsogc6jR23HY2sZZNp7Qkyl4Fc8FA4mQldNMJ0,1105
river/stats/auto_corr.py,sha256=CQ6i44fWhQNUwXuSaqBGZLLFfe0N-bzpWw-sTVcLAkw,1621
river/stats/entropy.py,sha256=wCtlLge_m8lEwgZv5I7rPniYU5PzZc4b_ahsZU49d28,2570
river/stats/sem.py,sha256=1qPU_z7LRatFL4wMlNt_SzY3WfTWXRUm0BNhCJYt4cM,1246
river/stats/var.py,sha256=q_Iodi69FZhkU2oiA58r_Rx-aO1iJCwj38pTnS9HOiI,3912
river/stats/summing.py,sha256=ADEDcJSdXy6uBRYXui_ao1oQVYaol9nGJbYjgyQ02rM,908
river/stats/skew.py,sha256=r9Hx9qID82RNXYUiOBZ5Em_l-ST2OQJDqoikSVdrYgc,1571
river/stats/shift.py,sha256=Dzj_dUxCFEEV9lzNlaFj_aJa92X0lCBLoyz1sqbWWSY,3421
river/stats/pearson.py,sha256=53JFpNMEL5BMg8VWYhCzTJoMyPzOyDjkPdMu2c1E_pk,1863
river/stats/mode.py,sha256=ueeCtf0o2Kj5nNgxg06Q2eqE1kSXHtbvFPUFFzft1Ic,2988
river/stats/quantile.py,sha256=QGuA5ka7vTb08Ei0-UooQFibTKyYMA6UfdqVszuEQbk,5406
river/stats/ptp.py,sha256=ckKjVNAVSpFOKGU-gs0tI7_zPLz8EpRHFVDe5KzLoMY,1967
river/stats/maximum.py,sha256=vvdCLb2QZsyCA6Xxp4H1Z7f0kXgFDZfymeM1sVv6jZw,2854
river/stats/test_quantile.py,sha256=lkyUrCswimko1z1i33_KuS7E2JaDhUjhhOf6MY9KroI,956
river/stats/test_stats.py,sha256=OvqUAF9UMQ_3YGFiUkSfIzu7u_UMeTMtoSaXqGHzBBI,9381
river/stats/test_parallel.py,sha256=3gczo3ri4z2t_GtuJ9q60oRgDs77ZCviGCfqjf4foWs,4867
river/stats/count.py,sha256=RtgWVpVliQHXjT1qbHQkoSA8Q-FqUcckQKZ2dfiixag,376
river/stats/base.py,sha256=R2c6Z2_XImY5IIFqvC5yO2DBQ1hHc0HIfMEZAocBZ1I,1790
river/stats/ewvar.py,sha256=MCUidJLVoLcKt2knQhgpRCTd2yfH6NP9ThIjXuuikbY,1929
river/stats/mean.py,sha256=oUVAJMFvk7keIF06-R4rQpHF4-UeQBgGCIDyHhJ4mcA,4221
river/stats/_rust_stats.cpython-38-x86_64-linux-gnu.so,sha256=bFqsPjCSFV7dzhvf2zMp8HdgsSIQdONqeux-PgwnIL8,5122385
river/stats/moments.py,sha256=Z4ifHHvNSSg26zxJaskrfm9lRBBk7PCpUiLjc0iomYI,1807
river/preprocessing/test_lda.py,sha256=XRf5EngKxBwVc3KBAS7RZ5ZSStpfRWv4rx-2n0t9XCE,7844
river/preprocessing/test_random_projection.py,sha256=QQbnPyjQr7ckwmIv9ZbBOCqEvNSIrTWEfQjXTC9081o,1529
river/preprocessing/lda.py,sha256=Zauv1FqNsIyQS3xnzyp0Kc3IuEJwcHSzeSuuB4zBtQM,13991
river/preprocessing/ordinal.py,sha256=u7k8MmQddIMCtxM4UqB-fmSxBo9REH7ybnVSeSuX7eU,4233
river/preprocessing/__init__.py,sha256=9Bbze-52lGni8tMS3Ea49zx5hEE_8wZ4q2pr4JuI1sk,1342
river/preprocessing/random_projection.py,sha256=syI4Oxj-3m76esFfz1e6Mn_l-rHubW9H0OK4On63f_k,5297
river/preprocessing/impute.py,sha256=1At_hW7mmV4-YlzywMi5JpYBd-yP3JoolWtJDyBZIEs,7418
river/preprocessing/feature_hasher.py,sha256=8TPmO_5MpUanG1cJLQwJOxppdgz1UwJ4Viidhd0TiZA,1934
river/preprocessing/pred_clipper.py,sha256=Q85Q3tRZcIRoakAu-ulmZ5UVkDw_QhHYMn_qN8-raQc,1724
river/preprocessing/one_hot.py,sha256=uJV6ko8YFrK_RRfi0_IFNgvMGTvsui9u2uvaMq4VUsQ,7667
river/preprocessing/scale.py,sha256=O1dGiyOQOidJHn8KyBGfZHI8f2Lkyauh2ypNq-EB5VM,15827
river/preprocessing/scale_target.py,sha256=ZWhFJvrAHdMaYPaiQeplL74SAh3L73Orb2a4W6RksXY,2941
river/preprocessing/test_scale.py,sha256=lwM6RVRmfBUJT_HaMHEq6g7OGYrYKZSGatM5H7LrvnI,2604
river/forest/adaptive_random_forest.py,sha256=iz_p_bOUpU0L87xNniuQtbFBHf31DyrXVTNG2T9rvn8,41285
river/forest/__init__.py,sha256=hIKC6GYJ58s1n9q6TFTkgJjX-I64YQT-y8bkpdnPFNs,400
river/forest/test_amf.py,sha256=xd410RwycFXe9PN9SJk1zuQIzv6BNIhxVa5u3d-0d-E,398
river/forest/aggregated_mondrian_forest.py,sha256=4bvRYeTI0W27T1J93IL_VQAyzSx9bQg6MKe2OjBMGmA,10850
river/forest/online_extra_trees.py,sha256=ekdZJfmHS8JEGKiUSr_1j01sTySGDcUPH6DjNysNNG8,29199
river/checks/reco.py,sha256=ytA-cS74KG7txS9bIPqN37sUiJlLaFajfMaPeeBqAyQ,552
river/checks/__init__.py,sha256=aePHFKp4FPZthnMfwWztWg7YtQqHaRsMTDKeraAg0oI,5849
river/checks/common.py,sha256=n2brkdYy23RPuMknPqNAWW8HAt5rahC3U24Rd6geIg0,7079
river/checks/model_selection.py,sha256=PlK89myGY5oFNJXGEBBnzwhYsBZsNRXVe8ofFXqYO8o,715
river/checks/clf.py,sha256=4YOa_iYaJAf725UFjiiTwNx4tNMW02adGWjPisMLG7o,1294
river/checks/anomaly.py,sha256=ja71uie6faCJea5TMdVhvLWb3jtKoe-6kTRt8fjjuEw,423
river/checks/utils.py,sha256=XOOU4l4blcMx9NgBtrgCqk8ip2fN-hixtnj7E0ezwKs,815
river/facto/fm.py,sha256=unUA9i0VhJ13JaIX9-z9vNOhnzqPyiQKBQh-PBDxOgs,13583
river/facto/__init__.py,sha256=qABcT57R90wA1Tuj01ekMlcetV-9n4J6CRBoYsKltwg,430
river/facto/hofm.py,sha256=xiCrleDXdkcW2GVyR41I0p-gGTtmclMp7eml-1Ub09U,15107
river/facto/fwfm.py,sha256=7-fxyEckHEXcLrYtiocGf2fqL1v30I9aPp72vORKyxc,15763
river/facto/ffm.py,sha256=fVeHnTLmPqq2M2WUth-NXkf_hQqjO-wmB8IOurCHnLI,14973
river/facto/base.py,sha256=fgOQHYpjYAscIP9vOd1mZYHOXNTwPe68UkqSawNTvkg,7247
river/datasets/music.py,sha256=MVWx8a8ffkVSUoiGIe33Bp0XsncXOLwBHqXNWbHQiDE,5410
river/datasets/trec07.py,sha256=3_hHXz7dmtuXP3iIVr59mD71k1Xs4vPB0foOiug-2bY,1223
river/datasets/segment.csv.zip,sha256=keRALvy29qQIfkvPzQdJdt2OSIGdKQ9Fuua9ZSvRbXU,122552
river/datasets/__init__.py,sha256=gpmm9UQSE7LqxXN7iQa9FPUp3vYcubQ4bslTDtN7NWI,3285
river/datasets/restaurants.py,sha256=XLxYvhbXS_q3QztjNM9IrgwfvU_efo5S4857KPHBWaQ,1208
river/datasets/bananas.py,sha256=C0R3aLZ-aLdBTgiDmGYkhGwa4StAwSGDWTqnr30RbGo,634
river/datasets/airline_passengers.py,sha256=qkGKlXDogCyijTTYS5bN3cQ4YHd8gwXc2Ud90y51thU,1059
river/datasets/phishing.csv.gz,sha256=2KbUS9lnLoUrilOtLGQin4GXIVinfZgQc6mLF8J696k,3991
river/datasets/taxis.py,sha256=7osOhH_lWV7HTr09-BSuahfhWJs51DmvUPDQK7lVS7I,1202
river/datasets/sms_spam.py,sha256=F0ds2p4Ddr_YRYYbInaBDf71XFKVAWFESmtFHoUTo14,1152
river/datasets/segment.py,sha256=0-ET_QZ9BSqE8qhDJ9VjRtweXLYvpWIqn0n04fsmIWY,1522
river/datasets/water-flow.csv,sha256=bITv64sUjdKs5lbxH1vZDeItrQFLCU47qv2NvKacg9w,41672
river/datasets/keystroke.py,sha256=aOfAmZ-YXPqgoh2U_DaMe5LhdQojQ91R9RkNRVas7o8,2040
river/datasets/chick_weights.py,sha256=ViQicRfI33NUE1vSHSr4yjbi4bHE1bIBwtYhebTve7I,854
river/datasets/http.py,sha256=xgpCo1x02R3sNrkjZiA7-aAtj32yca78g_LP-oJuCRQ,988
river/datasets/phishing.py,sha256=zXFZdVeNfyIK-SfAdVq4Dp6-V81nwDTa8RrGHVpWIr8,1127
river/datasets/elec2.py,sha256=lfJBtMOxwVr3UEANGtclWcMhrPfRM1AS3avgU82uHFg,1633
river/datasets/malicious_url.py,sha256=_Ca2amKhAhsjbvdBOXHk7-dr__A26kYXE-TQA9Rkims,1497
river/datasets/banana.zip,sha256=AJVSVZjiRdDwdfpl5FU-6tq6Ud3zk-RJ5pWeBh7TMD8,49917
river/datasets/credit_card.py,sha256=sju2zDW3FluEIAzBbyJoVSSn4DY0PdZtIKc9xo78suY,3732
river/datasets/chick-weights.csv,sha256=DcLCTO2dRHlY0Wvp0VN9seaXPIZyI1U2I3CMh5CAvj8,6331
river/datasets/test_datasets.py,sha256=kJVr4f6dQduJCQNR_opBL1SDA_ekbhEcdSRxmR9XVYo,3121
river/datasets/solar_flare.py,sha256=ptabOxJkUp-_dqYgwyQtn1GNNxTJIOcbKmVGDW-YRHY,1210
river/datasets/higgs.py,sha256=zfxzV5WY5nAC19qm-tcGSVFd1bdrNXfN_8zB_NXW7S0,1956
river/datasets/trump_approval.csv.gz,sha256=s6Qu3HqwQUUn09Fay_Sl29G3a0PXFbdFctpL_ako6sE,10957
river/datasets/solar-flare.csv.zip,sha256=eakEpsMMpssRyn4F_MocQ76XUK0p0Ljhqmwgnge1XRw,3117
river/datasets/insects.py,sha256=gxgGQxCsoE3P9ASgwIqM1h-sTViMv-4yJdvNQ61EpzY,2720
river/datasets/smtp.py,sha256=dCPh-7Ce-Cju_eDemJ8uuM0fPGgHsM_ClgJjv6TYCUM,1011
river/datasets/bikes.py,sha256=vTCh7c6hUePzeN4kX2978y4GD8SaDDCwP3eoFH9l19A,1176
river/datasets/base.py,sha256=i7OBrzJkT3NOeDjNc0t-mrJfp93hb26DLZk306s8VTw,10233
river/datasets/trump_approval.py,sha256=4CS48Zvw9uqvWP2fr21deNdWxVxUjC6VOcXNd0F5a1Y,1275
river/datasets/movielens100k.py,sha256=Sz6bCJmMaYKpbEJM2XhWlHOUu4kx_CD4VZkNrFyGHho,1832
river/datasets/airline-passengers.csv,sha256=kIL7oOyP-6W_y9t84qPjABIXpVAGs9uKfVoXXWx_OSY,2182
river/datasets/water_flow.py,sha256=1WmuSHqS_RlcIjGAZhL9JQIGD0bVotgfmiZloIbp2Yk,1359
river/datasets/synth/mv.py,sha256=EDbylLOLs3xOwyDgpBT-iZqVL5uTQpjfvDB9Jzc5Nqk,3953
river/datasets/synth/random_tree.py,sha256=B-0xI97z_GyK-ojpbcoFOZ8T8QFjhsPrbT1GXtpMX24,10554
river/datasets/synth/agrawal.py,sha256=IFRRarDptHgQSgBqgei8wOETSTqQNyZMeGOMXORx8Gg,12209
river/datasets/synth/led.py,sha256=jbJjCo6ce6toOUInisLeohQzuE_hTcYMX7kipT9sRSY,7452
river/datasets/synth/__init__.py,sha256=5VnWpezB9pQufsz6l_OLXki-lFJeuQ2heWso2NalA_k,2945
river/datasets/synth/concept_drift_stream.py,sha256=YwySA1D_zDiyWQlsUKNC9kxmW0lxJlOmcaXJWKV_ZxQ,5994
river/datasets/synth/random_rbf.py,sha256=OXgBMbo_tCVFLgWbB_InnVq5dlqrL5J-KSiTF17yN70,8901
river/datasets/synth/waveform.py,sha256=wi4h36HKhUpz9NGbuiDFLp4gH2RRHfVkvYyQPVfQeK0,3315
river/datasets/synth/friedman.py,sha256=v-5flz10wf5QrbhHOUn0btXnx_AZKorJiqTdvvVsnZ0,12940
river/datasets/synth/mixed.py,sha256=zr-Od0_NIsYL5Yfsny-siTErEgq7THJeh1gOzwhnj-g,5343
river/datasets/synth/anomaly_sine.py,sha256=ay73_HijR49R_E6JtrpwQhE_zLuTa229qzsACv0DGSo,4758
river/datasets/synth/stagger.py,sha256=b1yCo_ABTseBMXZrycVcd-aHtevpc2T0TOIFKuK69c0,5466
river/datasets/synth/hyper_plane.py,sha256=IbMxC43Zlr4w5DHUffEGOAMWrNRusmmSGcZk-nHzpG8,4647
river/datasets/synth/sea.py,sha256=tvdT7xSIcxjezxe4ujIvDkyMVYMlIi7kyF2y2YtzJAY,2485
river/datasets/synth/logical.py,sha256=9UPUqam93cCSTBPPsssZpWa1nXtiQA_6z4dIk9Lbdbo,2829
river/datasets/synth/planes_2d.py,sha256=6PRoAX8SGN7xFLSAfcR9p33ZHfLdeM0P8W9QXUYMDeM,2081
river/datasets/synth/sine.py,sha256=zRIZUkmWAdBmJtIzY-PCrs1SOot5ROQqtQnvZpzxroc,6289
river/feature_extraction/vectorize.py,sha256=5g9lHD5Kr_mm_lf895NvYuqI3Dre4Gxis13qM6giWfk,16774
river/feature_extraction/__init__.py,sha256=PWY5K_ejttxawp2uVOgXNkWl_e0gxqun4BhMPJ-XkcQ,674
river/feature_extraction/poly.py,sha256=6ZPR0x9wvHwRMmSO_5cQNUVOZFurCsLk1CMjChPENu4,3682
river/feature_extraction/kernel_approx.py,sha256=8yzjddNn417uCjgOd8-AfEPiuN6wi50oJkOieV3uMKU,2602
river/feature_extraction/test_agg.py,sha256=qgCGblJmUkhwhjMYgoWpKVIKiNjtBxdwEP3S0xk_-mg,5315
river/feature_extraction/test_vectorize.py,sha256=MXTUmfi8-hybginAui6l72zsibHYwfvXhAG-0RcNHWc,1581
river/feature_extraction/agg.py,sha256=ajctUNQr4TXv4kwe5G5UaJbEYXoww2K9yV3w5JIl0MY,12427
river/drift/retrain.py,sha256=aErSPS4wazwxZPRncXS3eSO8k45JwPNkjfqlnizRQno,3436
river/drift/adwin_c.cpython-38-x86_64-linux-gnu.so,sha256=eBoEdJNVZbY0EfG1achsSa7qNpPu9KjRBYTNzxPAsn8,1076488
river/drift/__init__.py,sha256=KoKhSRxd0MnS3jbrtZVIKnx1-dbE5uTOh5Rs7Of5eGQ,720
river/drift/dummy.py,sha256=_2gcYMvcteBN8dh0osL4fjrXmOm_pAbdEn8smY0bIhQ,6512
river/drift/adwin.py,sha256=0CfeobeIlFRhKSYN-4PWUU4Hhq4PL2IH4wtaJFSd-5E,4401
river/drift/adwin_c.pyx,sha256=UuogTVkXGgcSQwr-8OnHDMLqi2cwZR4AG-UvEFjKCkU,13227
river/drift/adwin_c.c,sha256=fFkf9huLSuszfaWya4rr8YFe4wRR4ZZicdXL7CMpbvI,757899
river/drift/page_hinkley.py,sha256=CfVMl_BxcmsObahNN6eye84TPjJJ_Rn2YFOb1Ku_7VU,4370
river/drift/test_drift_detectors.py,sha256=fCT5LXXB1GOe4aoRE4nzp_MvSMMT5wOMUDIKCKhr0_w,3656
river/drift/kswin.py,sha256=0mboLAlsi5xMWOzKG7TM9uzcAQnaHjEtTKQ7UKqzJks,5247
river/drift/binary/__init__.py,sha256=F5Bxg2mP1PQW7jKHncrfICutUuTw12hZeyNZIzEPo4A,220
river/drift/binary/eddm.py,sha256=9czlZ8odwRPJpfyH32shizae9ur1VEWC8rgOXSX-O58,5880
river/drift/binary/hddm_w.py,sha256=m3n1c4Y9LRNB5VCpAyYUqyK4fxQCtg7-5Tt3qBa_M7U,6765
river/drift/binary/hddm_a.py,sha256=jY4xO4tDeYWPsnvEbHgBl0n9VNCbkOsMswHFtfkGNkA,5599
river/drift/binary/ddm.py,sha256=p-GG7P8LPmvxhvV8QskzE7yLKch9mnuPOK7NNQkwJ3M,4963
river/drift/datasets/__init__.py,sha256=wz9TNQ2-Q2L3qDe4F0ecp5tct9bC-ZggyaIme1-_4Lc,431
river/drift/datasets/apple.py,sha256=qQn8siOjqvQtv631o9BO40fAbF4uvGsRB51sSnCKPGU,1420
river/drift/datasets/airline_passengers.py,sha256=vdfdVwoTmKvUXlo7n1Ws-E-AS_luw1g0jEcwcyqRPXo,1113
river/drift/datasets/uk_coal_employment.py,sha256=bvS7weIUdwfvu7Iq6GqM6f5KY2chrcxgyFp6I4LVYV4,1284
river/drift/datasets/brent_crude_oil.py,sha256=pdOoA6mCpmQ8lgZ9wHbqrN2Pd_fj6s7NwlGL7HaFK4Q,1747
river/drift/datasets/occupancy.py,sha256=Ekus6uTSSUeu8sS_qv8Aps1aO-o_cMlfX4dunGqjMFU,1521
river/drift/datasets/run_log.py,sha256=ExbDdQTQYLc5BkR8jtR9nIee1JbJRJ1OxQ9QmQl_3p8,1115
river/drift/datasets/base.py,sha256=FEAJyas360-uSKIDgWBmWUug9G1dRyo0bZiqLqmKnW8,2648
river/drift/datasets/bitcoin.py,sha256=WfTzROEvAi_B3Knp4mChnxsS2Gd2hbtzK35qSe3zgng,1339
river/neural_net/__init__.py,sha256=JDmYt66wsAXn8JnJdWtR2ja2ZO-UbtrOl3UhGbp0dKQ,158
river/neural_net/mlp.py,sha256=cFVTHR99LpyzRYm3HaL8ZP2m9YZEb8ll1PbVeDzWINI,9981
river/neural_net/activations.py,sha256=kTSAuo_gq3RHFhWh1_OD6DoXmDXDrLJHraCQAZxkyfQ,1548
river/utils/vectordict.pyx,sha256=ZvyQl70bkvkdGCV75RanKEfwtcF-rP3Y4Xb2R0QSwpo,18799
river/utils/math.py,sha256=R64N5D-OtDwOtakbtHpPC7Eh5cDmM3RqHlO4Xx0xUls,6853
river/utils/__init__.py,sha256=TmBuwHc7ODZU-hmMa9ivS8mhiZHaSMgPquErB0Ns1gA,626
river/utils/test_math.py,sha256=M7RpKzCEfoG9cR2rfx2PpGjQSNJd2rH3gpeMvYxgh0M,3391
river/utils/test_vectordict.py,sha256=Ilq3hjZu7xznoMclfeKMp1dNcTPgyl8ws-GsgYK0dAw,3755
river/utils/vectordict.c,sha256=1edlUMbmyzvfl66hrqtpfd_9HYKptbOx17NVr93PzbQ,1260477
river/utils/rolling.py,sha256=ThJnBhbMtRAuKETOeF-1e4CoeurxcAtkktNRMI0nDvI,4068
river/utils/data_conversion.py,sha256=waJc5TP-_rrGBLqwWcWcfkBTu5jx1J2z5gbFm-m11aA,1505
river/utils/sorted_window.py,sha256=ero45iRrfO_AZSiEl9uqvDbwujsNYog8Rqo9W0jKHf8,1306
river/utils/test_param_grid.py,sha256=A1MvssKp2zt86fqWInU9IRWWf2eaRqOVBaJT66uRGdw,2113
river/utils/norm.py,sha256=FU6A6ZF-9t0cux_d1GDiyV5XAh2I9WxuDn4vgRUinSw,1893
river/utils/param_grid.py,sha256=sOQUeEsrjqSuVSuY3tDMoqfKIa91h9K7oHR3onUFRIw,4825
river/utils/pretty.py,sha256=lzauWHONRcvax0nzxRrj4F8zwMlqi4pZb9Mt5Uf0mMs,1955
river/utils/context_managers.py,sha256=2DyxZJ6uH2mxC327C-ulO2XxWs9KArUy0Pv4WK6KfF8,113
river/utils/test_rolling.py,sha256=8nAZsw3nDvQruyDmGD4IisT-Sa7Prse0vjz3jAruxys,853
river/utils/vectordict.cpython-38-x86_64-linux-gnu.so,sha256=EnQzrEw10VPNWnk0ABhk0L_z_dwMnyjvC3knwX8RNmk,2575192
river/utils/inspect.py,sha256=8bObGbYU6gkDPefeh6mPUlweHob3kBRAwGC1lGiQ_Ig,3034
river/utils/random.py,sha256=ophTAFrxBeE-IoEH_QdcawU9LIC0PqgzZ3-xXO6j9Vw,999
river/metrics/test_fbeta.py,sha256=CqOqgNg0fzYfxxAcxzZraPnf7eYnb6QUpzfvSzAuG08,1882
river/metrics/mape.py,sha256=7pcUO1pQDkciC5aAfQv2BQjOCKhpYO5QJS3NbBUTYoI,675
river/metrics/accuracy.py,sha256=KB-ovLa0zf_lZIpjgr-uk4fb7_m2VZ6Zv_6GNZF9yR4,914
river/metrics/recall.py,sha256=wx063XBA00t8fp7z6wuIoZ2OLzeodkbQDvFTnHFYrGo,4300
river/metrics/log_loss.py,sha256=cMPgvNnk5TwV7M93WM2aibGRm0EIgj3hDhCtCFdMrQQ,1006
river/metrics/mae.py,sha256=fHwAZ2u86oS6CLQZX_hTvwjmOI0gM62wpCEvljGo300,577
river/metrics/rand.py,sha256=wi-d0i_3yBwo4FiVMCP_Zfte-TZPkv5BwZRpXfQki2w,6123
river/metrics/balanced_accuracy.py,sha256=HWwSp7q2NZ5ClC8ohbDsQBm-YZRhKIPVppGLeqOZgVQ,1596
river/metrics/__init__.py,sha256=Abfn_tq79RgVyLn6CWIVQe5MMfa5kdN-_KGRhMIQdwU,2769
river/metrics/geometric_mean.py,sha256=J_sFf5S2lt_eDmBv8N7Uml89LAsSqEb2ykekTu2IBh4,1931
river/metrics/expected_mutual_info.c,sha256=4XROCmwQq45SLNW9vknIziCzzOcssPoNvnWDK7ga-Eo,519086
river/metrics/precision.py,sha256=tpBse1yOICnPeE8r9AOpP6Waq0LaYHw5FiceheuVThk,4856
river/metrics/vbeta.py,sha256=iKV3BQDu8aoeqI8syQR40uPlXAGNie7gRecI6aqH7GU,8644
river/metrics/test_cross_entropy.py,sha256=SNUjn57QhTYGlxn3x3Uv_cd0we-WQcBpiYy7mFYoRbE,864
river/metrics/kappa.py,sha256=41FgBQ4b5wTgrQSYf4ZRTHiQqbKB1jtyvRbSkVKDx1s,1848
river/metrics/test_metrics.py,sha256=8AqDsHOIHxPIFrg1TZBnd8qhBG880kBpjPQDA3o2Cuw,10215
river/metrics/test_log_loss.py,sha256=TgtnaJzAf5XzYVwTP7BJu9AZdMvR30AdhSBtAH8TN4I,583
river/metrics/jaccard.py,sha256=UGz-IP_XAcdyJO3E8byo-A9OgD-pl_0xeU46r8rel8I,4498
river/metrics/expected_mutual_info.pyx,sha256=xHrsNPQ2gKBKddBKbfAEXogi1eCUAnbQ34WQGPfM84Q,5435
river/metrics/mse.py,sha256=n3UIV-Rk6vsgc2QnYibh6b3KHGe9L-QAW4OYfCOewj0,1537
river/metrics/smape.py,sha256=HppohGC5b0x79NH7FXc2MlZzr3EIFAAIH1BPmMf-8EE,823
river/metrics/roc_auc.py,sha256=NMXF-JE1JnFIzSSWNP_gDu3LCSFhLn3ZyaN0h_ZO0go,3345
river/metrics/mutual_info.py,sha256=cu6hk68ImjhESkt_kl8Z630RLGeUWfIrulSTzT7z41w,11966
river/metrics/test_r2.py,sha256=WUTuSVIR-zX15-h6tDeip1GBmltdfvD_fOx1QhgrYzU,2155
river/metrics/mcc.py,sha256=Gplk7ZtGHcqqBsZuP2Upfn_m6JcN3tET-PmZdUjF8n0,1336
river/metrics/expected_mutual_info.cpython-38-x86_64-linux-gnu.so,sha256=DFIEBjVwtItYESlEZmCWA_dWawt7pGrqUszkHNnvNAg,1155784
river/metrics/fowlkes_mallows.py,sha256=ApQCe7n09kdYGadOGtw16fnZPS7Eo23PEWSOAmiszaI,2623
river/metrics/rolling_roc_auc.py,sha256=gHyQjvDFnmktyIjGSY-9Bv9Wq1UC8dgYxElM0E1IhpU,2704
river/metrics/r2.py,sha256=6Y2TYi4A8nwV9e7f2TgG91Utcx5fwSURdj3xcOSUsZY,2238
river/metrics/silhouette.py,sha256=CYfxEhKzDrH2OjAoJ2nxlHND2rfaxApidoGrqLSrk3w,3528
river/metrics/report.py,sha256=KYXtRUnGEXE7MGnUqgSe1BTvsEtAe-W5C2uzfDzUAjU,4678
river/metrics/base.py,sha256=umAwVIIGzhZowrrDVRkTGJi-HKbY2DYUZ1gbK8ExAts,10910
river/metrics/confusion.py,sha256=LvpxWoPFOcBSi_TkCpXmqNYFX4-Ef8sdLXXDZRWgJD4,3973
river/metrics/fbeta.py,sha256=Ss-SpYOq4VEvU5RoKgNT5vH9VHj8U8ZUzBIGFhHaI_A,12187
river/metrics/cross_entropy.py,sha256=ZwgLI3sSMiF0nC93t03Y51V5s-urAAVM9Uzk_foipQM,1268
river/metrics/multioutput/per_output.py,sha256=dKZ_YHyIcNqvA5jF985CgI_e6-FuXzlBw3Auvi5xk6I,1423
river/metrics/multioutput/__init__.py,sha256=iDxLL5kt2iXlDYn3ADhQWPhgiU065BZMB7nDGBLUlso,477
river/metrics/multioutput/sample_average.py,sha256=1OSH5kEX74kTiXaVDF6SaFadFoHpSAzZ4gOITAnP73U,1987
river/metrics/multioutput/test_multioutput_metrics.py,sha256=NrCxG94cIVHStFDPElDiblBJllwVhukvvCyd6kPTpeg,4832
river/metrics/multioutput/micro.py,sha256=9XANkkJVZcTrb2NYF67qXsnVm-PZKbShe8owDLs5-kY,1165
river/metrics/multioutput/exact_match.py,sha256=gyt6UYPmXquYzsN_mXtNm_K_XUHNrutmDSFcNAse4oY,1290
river/metrics/multioutput/macro.py,sha256=iGVvUeriFdkE-Uut0S5mYEk8uPHXD1kn9A_kXVW6ft4,1452
river/metrics/multioutput/base.py,sha256=TKaH6XKq50X9IzGspY-JPDW4moqkW2ZnAu8zf2kKqMs,2551
river/metrics/multioutput/confusion.py,sha256=olw_Kf7_VhPg7J1fmVJxIbRUY2pD4bfv3jh5_4frr4I,1934
river/metrics/efficient_rollingrocauc/efficient_rollingrocauc.pyx,sha256=buQnJ7ov3q1AbTVyNDdV6ZP_maDo1UUOJJeIRG-b6fY,1889
river/metrics/efficient_rollingrocauc/__init__.py,sha256=UEQp1nGu6NF-EW3Vc3FWKo_ruNhVn9yhN1g4XfN7FBw,134
river/metrics/efficient_rollingrocauc/efficient_rollingrocauc.cpp,sha256=ZqxR_2LlzTuNTC_EkNyFlPc7iy_6NcNpHcEGMGga5rA,407737
river/metrics/efficient_rollingrocauc/efficient_rollingrocauc.pxd,sha256=mIDa_wbVziRkMmABWWior03QvhJrS_3yfPqenmpsjTI,436
river/metrics/efficient_rollingrocauc/efficient_rollingrocauc.cpython-38-x86_64-linux-gnu.so,sha256=VEMmwxSX25secTK9wsyJ4j-C5pIw1ty3BGQXj4W8QEY,832089
river/metrics/efficient_rollingrocauc/cpp/RollingROCAUC.cpp,sha256=paNQGE1KHcAOjUyi5JpU9xmY9SzF38QUL4YyyAGKh6U,3510
river/metrics/efficient_rollingrocauc/cpp/RollingROCAUC.hpp,sha256=wd86w1Fqh4kFdJsH98wpkrW0pbPG8GT3Sox6xJeAFSM,1553
river/multiclass/__init__.py,sha256=EElt5UEoXu0Qjb2X-duMsjoa8buKzjOZsHQH7hT8V3Y,262
river/multiclass/ovo.py,sha256=wmOQfbO4ue_vO2RLQMDtS6f9dXREaZ9--75JirL4n-c,2850
river/multiclass/test_ovr.py,sha256=SrXY3A_QO1BE84-mrLVJ8Tui-0GphmUVsNI5xNmpFBs,1256
river/multiclass/ovr.py,sha256=H8wVmFSpSnaqqTpjtLVR47uEad5SpEDLWNKw20zssn4,4234
river/multiclass/occ.py,sha256=6P6fyEx2lzkOjw8GpQMIc-Bvfbi3OqlT769I2SeXrqE,5964
river/compose/test_.py,sha256=z5FVV8JHCst-cmbCsYq6q2Ata5d62yLFVTUKO04kSfE,3713
river/compose/__init__.py,sha256=1LHgJURx-fGhC_YKTtB4K5cA_jxPShgy_h0PxXFK1bM,905
river/compose/grouper.py,sha256=UgYDWD6nI_LXsuNLVmP2SLZybfQ5q932ioXMd2846s4,1446
river/compose/test_product.py,sha256=YoDpHCHrwRVMw5yBaDTwTH5JcL0YnZYzs9uN3L7yhB8,6959
river/compose/union.py,sha256=ZIr60BgaJCTdKfqd3WVvqiZaBxC1TLOLUbBCJPt5CE0,9746
river/compose/func.py,sha256=6onkW98l9ZZO9iZzF4d1GMC86U_YAY5M47wEzVDe838,3526
river/compose/select.py,sha256=BxfUbtFQP8hDdqusgSPrHfTWUzzuGRs3_EAarQY8wb8,5455
river/compose/pipeline.py,sha256=_rRgs01ToyR32hhj85B9UiidrIDPuMk1z0BQE7UrwKE,26425
river/compose/product.py,sha256=sBQb5mR2uyuna5WR5l7dLXt2ueJGeBqXHnAnPKjFeUI,3949
river/compose/target_transform.py,sha256=flIoqeIsstDuPM96DLcGEIIkKFZ3IP6XI8j5m796SYI,1816
river/compose/renamer.py,sha256=BXwvP0xv_Z6o5AfDmwGlJ1LnHKYBnoKs8Dcf5w4FKfA,2015
river/model_selection/__init__.py,sha256=ZyuC9gGOoWMA-1nEMOIkmgXDvoy-_XwYZfB36wCyu-U,1201
river/model_selection/test_bandit.py,sha256=AOf6kwygU0DUruSKFTpaKk5vjzzoaKGKPNhosOD735s,3290
river/model_selection/sh.py,sha256=0FrfGD6vk1QlLirzQcYLPgk3sLG0jO8HK4Mz9WLemNs,15073
river/model_selection/bandit.py,sha256=Zeg1oVh3l8nKy5TbOGLKNA2qV6NRZ_pMgw7cZKgznQY,6386
river/model_selection/base.py,sha256=JfEAfc8ZYM3XxDcZwe7t89H6XtJxNHRpCgfxXLT5x6g,3419
river/model_selection/greedy.py,sha256=N_VZI4jvtK6ZDYAkKuZLS6vpGlYxaqWcM0c2vp1Pd18,2275
river/base/regressor.py,sha256=Jpa7SuXLemPZWONGAxqRaFrxJ-blZSWmHrhRRf_dExs,1647
river/base/clusterer.py,sha256=xVvi-sS9Ngr2p3CFSXgPKAop3Lv8oM2_aVEOCTM2ypM,772
river/base/multi_output.py,sha256=FI4K_OQMjJ7zkJnrTdKGGw-2vpXrxCIGvw7mn1s1l7k,2453
river/base/__init__.py,sha256=NOxi3dVftwWWRrZMtRKay1kDATnZdF-sJFYDP9QHpNs,1701
river/base/estimator.py,sha256=V_GZ7--9DaMKpagi1pGqJBlGTnW9nDwZlpzvPhA8AbU,2908
river/base/tags.py,sha256=7N9ROw4iQJUkUYGKJKQKEXQ00wtKk41Tiil7YtewAD0,96
river/base/viz.py,sha256=raSXo1iZanMUJkNBbrLRVC1Gqbfp6OmhxfLIvezAZRU,4136
river/base/classifier.py,sha256=uKzLRbO71l5tCzML7pVzebH2wED_NDq1ivNFoonjPrA,3792
river/base/transformer.py,sha256=aUreQ2l7jpY7cJVxaO62Z9GjihhK5NGwA7bsbxocAeg,4259
river/base/wrapper.py,sha256=NN05Wop65ZSaMXSadv3oMzLqEoFhhQl0x2BAjdvMjVM,718
river/base/drift_detector.py,sha256=37O85IuvbmC8Wu6kk9SIC2Ad0vIkezqhRqUa7qGR93U,2292
river/base/typing.py,sha256=H2E6_KjhVEsKMZhjlVDASw1tYb1s40J4TA1BGiaaGGs,383
river/base/ensemble.py,sha256=ZR-2VYHhc3vGvVPUy_8cKDsxaHMNEeBpznAcATQcdjA,1415
river/base/base.py,sha256=ucOwpgWG89DXuq60xrmQbre-aymTrjGQm3HbZy_t-zs,16021
river/base/test_base.py,sha256=43YkxfqfjA4thjZTwPnz5-YRdNjjVsIwBxPI9L51rDg,3906
river/cluster/dbstream.py,sha256=mrlGKcOl90FkiA20zrc7vsaMVS-HW0b78UXpmPvNodc,17219
river/cluster/textclust.py,sha256=Q0C-t4bxDRIXAyCwmqCEc8EyuQyl-9kW7Dt5NOu4maw,22907
river/cluster/__init__.py,sha256=_xOUaQC-Wvhb8Z7OvnYtwh8Hb5UmkXvwBz5jdrXfS5w,353
river/cluster/streamkmeans.py,sha256=QBgTIQxm-h8oXq8-lRS8W2ZkZ04KPrwXPalDYfuIFAc,3860
river/cluster/k_means.py,sha256=7dgeFfFNckVfVHaQMB8RV7rXzm3CIrF5oqa-nakCCeE,4408
river/cluster/clustream.py,sha256=2XDFaCC9e6379RUYQvxVxaCQvmGs3HqewUXkadXFj-w,12116
river/cluster/denstream.py,sha256=Wgp0u24J0nyr1baAYre9kxSqgK5GMil9UQ8A25gTan8,18263
river/anomaly/__init__.py,sha256=o2MLv1se2NCWAeGGbUstV0HqA0l_mqswsA8UUUGzwyw,1121
river/anomaly/test_hst.py,sha256=SQ7OrJGRmCgguWrQOG2AvGNywzO3JefAeq8BKpbOoD8,852
river/anomaly/test_svm.py,sha256=2U-VwuJpDkoK69eAPZYq2gYHvljFOwXocQZV7KUGR5g,1042
river/anomaly/svm.py,sha256=rvad3VI8J-ssN6d4rau6h4CY8cprFYCcB4s06t84JZ8,3436
river/anomaly/filter.py,sha256=qxCUzLbFcSm7nzeJ5dJmrK9x9UDCObKutrE83QZJn60,5845
river/anomaly/hst.py,sha256=6ZWrSnJreJmhCPCzucdyzDr44Eu6chNN2z8Do3dkqew,8874
river/anomaly/base.py,sha256=qTCcnSSxhZrW73wGdzjApK8rWsO6CzEtdSKWr20WI04,4351
river/anomaly/gaussian.py,sha256=l46WJ30tDeDy9Q0TglLJuQ16ld6Y8rAFsfuzRm_Ni_c,1858
river/linear_model/__init__.py,sha256=fQoVyJbfQaEXZDnPu4K64m4WjFGZ_Kkko5QVuffxNVM,571
river/linear_model/lin_reg.py,sha256=FwN-U7XluyfHg9LxojQ47z1Nn9SlM8xwom4oje1vwII,5768
river/linear_model/bayesian_lin_reg.py,sha256=iPNOwe46b-zlhLoJgcq0xbN6MTJjn7CadP-mFSFPcWc,8248
river/linear_model/alma.py,sha256=1U67QCA3PNqm_4Iq5A5TqGRJaRf5ItMcfpKuIWAFGN0,2119
river/linear_model/log_reg.py,sha256=KkG8cwrpSB-3ReM8iLEYxSJjXTfb-y5yN9LeC8Vbczg,3466
river/linear_model/test_glm.py,sha256=ZHE7wHfftIhre9GRH5bMNpaxsst3lSQ3EmNK-Q-a5as,14221
river/linear_model/softmax.py,sha256=j8WbGlgQiIG7wjWXa5T0iCzDY5sUjHrDYZpQ6IBWlGA,3436
river/linear_model/perceptron.py,sha256=tomJhDiNfWd7WijfKyDa7I797u1fKNIh1Zfb3T5A1ps,1637
river/linear_model/pa.py,sha256=MkOMCr0TUgP4n9E7hyJQvDcoUBhqe7dIOIIXvl6-HJ4,5448
river/linear_model/base.py,sha256=linrdcV3qz8yYcaityZ1Zm425zNhgUq0ptpsxfH4DC4,6866
river/feature_selection/variance.py,sha256=pVAQtJIEXBTVDn2yuYyGcnQDBrUIjG-kB0aYuSBiwHI,1566
river/feature_selection/__init__.py,sha256=BQ6en7k1dOAErsx6gRkfo5b2nIU6m_TZfOT9Rr-fJD8,238
river/feature_selection/k_best.py,sha256=iPzyr4AbaZ8hQbdI0SVUd6FYLP5i9InnEi0IhrwozmE,2282
river/feature_selection/random.py,sha256=Jqwpz3OHbA_nwTyu2OKS21M-a8bLn4DnsJ8R7NjBcSA,2174
river/ensemble/voting.py,sha256=GyCgidSD6gVNwi-NH30-p8lNv6u9xR9J5_sTwUNXp88,2529
river/ensemble/__init__.py,sha256=ikwrhGHU-qwsBAdR9Etwb87t_h-aEHGfxKPZbq5q3o0,1119
river/ensemble/bagging.py,sha256=X4erd8JGKRd4CY8SMeRGGm45NbarBk1fAWTw1PiBeDw,14207
river/ensemble/ewa.py,sha256=40XLHMnM_X1CkmucZGLhJp7REl0srhx9bJlEGY3vJEU,4081
river/ensemble/stacking.py,sha256=usBdQLkkYzzqgkdvTAB8ePxU0h34d0ACFBN7F4IfE_s,3043
river/ensemble/boosting.py,sha256=RC9nK4CKcEiBHqSHLDXcuucdZftq_2BiQGqn_NaZXeA,13894
river/ensemble/streaming_random_patches.py,sha256=RkPaVxen_FwYNXVM-txR_k5LgTcRxbtVr71QnQMeU4Q,32559
river/neighbors/__init__.py,sha256=PRp8EtF1ACb78qgDk6bxFD1vyt3SvDR8zyaZOHmVc90,414
river/neighbors/knn_classifier.py,sha256=xzBh0p7vtUvm5AxJdCc1KNv5cE4skfxKsrl3VLqNmU8,6452
river/neighbors/lazy.py,sha256=srVkZYIJwpCuIAqZYAE_D171-8y2rF4eodboCxjh0mM,4604
river/neighbors/knn_regressor.py,sha256=M3S3EZvUOxKTKc-qG66CKtpyic5CH04ouQBCes0S2kg,4085
river/neighbors/base.py,sha256=lY4Lp2kDrf71ZZFki1wY1CqmKc2ZdcTMuWTr-_K1VQc,1242
river/neighbors/ann/__init__.py,sha256=meOmpddAEtT-ee2iXllyKmfTwpOclLkjpZRFsqC2xvk,82
river/neighbors/ann/nn_vertex.py,sha256=474OfYtv7kIHu6Jak2WKLEz1CPiOX1t-p_PY_VQqCGo,5144
river/neighbors/ann/swinn.py,sha256=FZaKe-lnZBcq4Z5u1q35KU7wCWe6ER6OqBeIT3sxqsQ,18799
river/neighbors/ann/utils.py,sha256=g_rF5hAOb_IlAbRq6TLq5tU4GBaL2bzXZb1tPLxjk3U,225
river-0.19.0.dist-info/RECORD,,
river-0.19.0.dist-info/WHEEL,sha256=M9OFbatkemt0aHfFsJ9TdpkQ7wvS3vEdoNJC60XpIgQ,111
river-0.19.0.dist-info/LICENSE,sha256=6H8sjxumEXAq8Qy6dF5s63c9MjEBNe1VqicixV3Q0Hc,1528
river-0.19.0.dist-info/METADATA,sha256=K6j9tF7r_sntyS-RU0_BHpTyET_oiWp5kVOXvlLbdDE,11734
river-0.19.0.dist-info/top_level.txt,sha256=C2yV2P_v-trwx59S7YtVavq41mDIUZ79-zN8I3BlKn8,6
river.libs/libgcc_s-a04fdf82.so.1,sha256=YxqJNaesQMhDswHEQpXsiLnVvMBBbYO6KYMDZFPWKSM,81257
river.libs/libstdc++-a9383cce.so.6.0.28,sha256=Wy9UCdwS1rwI9GU5e7qE61S0AkRqqwti1q_adWSs-Rk,2447393
