{"meta":{"sha":"086e8028b4867ee7dbc40d4e7b9886c5fe80f4a7"},"files":[{"path":".gitattributes","mode":"100644","sha":"10c5abd628b54596fb6dae25cf2b695fa1e808c3","size":79},{"path":".github/CODEOWNERS","mode":"100644","sha":"93e4f1612932bcc461f268e09809f024cc909174","size":116},{"path":".github/FUNDING.yml","mode":"100644","sha":"05645a6f365cfc41519c2b5bedddea5c06a22bcb","size":19},{"path":".github/ISSUE_TEMPLATE/bug_report.md","mode":"100644","sha":"61d01add178b6886873674bfcdebf1de99a95282","size":1351},{"path":".github/ISSUE_TEMPLATE/performance_issue.md","mode":"100644","sha":"960749ef674fc77721a7e0128c42b79df1de7118","size":951},{"path":".github/pull_request_template.md","mode":"100644","sha":"83f6e563630e0567e3bd000320e054c656709a75","size":310},{"path":".github/workflows/code-quality.yml","mode":"100644","sha":"c3df92f2929442e09418bd31defde7cf19a6f22d","size":3178},{"path":".github/workflows/codspeed.yml","mode":"100644","sha":"23f4a31f6f0853f0a4161b33c151b39bc42cc589","size":3753},{"path":".github/workflows/delete-caches.yml","mode":"100644","sha":"e9507c95565f8dc5902564bae51459333f8c8488","size":245},{"path":".github/workflows/dev.yml","mode":"100644","sha":"d0da12f30ab723700d53e6e6da98ac1adc340936","size":3800},{"path":".github/workflows/pypi.yml","mode":"100644","sha":"f659085c527af45df9e9c1698623e2455a46922b","size":9326},{"path":".github/workflows/release-docs.yml","mode":"100644","sha":"a1a41b5057176bad4f7b9e8234bb735379311c7f","size":1407},{"path":".github/workflows/test-for-pyodide.yml","mode":"100644","sha":"4f4092ab5e5de564822e22d134b76fbbd068da53","size":2276},{"path":".gitignore","mode":"100644","sha":"10861cc3114a1d2d2493d958cc39c1d9eac4bf65","size":1348},{"path":".pre-commit-config.yaml","mode":"100644","sha":"719f950ae39c0feb5ef478e50a326ef45b4c15f1","size":1253},{"path":".python-version","mode":"100644","sha":"2c20ac9bea3af95dc318980f59bfdde641917474","size":7},{"path":"AGENTS.md","mode":"100644","sha":"b150fb7477e3f2ea321027befd63a35517ab0a43","size":4487},{"path":"CITATION.bib","mode":"100644","sha":"bb94fafcc2f78c734df228afde6c56f012e28c0d","size":335},{"path":"CLAUDE.md","mode":"120000","sha":"47dc3e3d863cfb5727b87d785d09abf9743c0a72","size":9},{"path":"CODE_OF_CONDUCT.md","mode":"100644","sha":"80a1845aecc8c0e2e9758c9c5468b44db74ca208","size":3354},{"path":"CONTRIBUTING.md","mode":"100644","sha":"271e80e7649d8746c40458add50874ef314f2a72","size":11997},{"path":"Cargo.lock","mode":"100644","sha":"91391a62c8207528326758962e93f0ad6fde6c17","size":22507},{"path":"Cargo.toml","mode":"100644","sha":"f47c368ba68c2aaa207e9d06f3073cfe9dd00aa4","size":1867},{"path":"LICENSE","mode":"100644","sha":"c3a351f973d0b1b38eadc6ae72917bfc5ce24f8e","size":1528},{"path":"Makefile","mode":"100644","sha":"3c4205fc1862c277b4f316e11b6a9ac4da68a7f4","size":2040},{"path":"README.md","mode":"100644","sha":"cba00ec2871676a5d7745c42098ab6272232844b","size":8267},{"path":"benchmarks/.gitignore","mode":"100644","sha":"4a69b07f13b780db6c4acc879e39addcd451f9bd","size":33},{"path":"benchmarks/README.md","mode":"100644","sha":"9415b009aa544c4f6e8cbfddf2c2fe2df1a0d56f","size":5845},{"path":"benchmarks/asv.conf.json","mode":"100644","sha":"4103139782699cc39e0db953f2413f19822d7c20","size":581},{"path":"benchmarks/benchmarks/__init__.py","mode":"100644","sha":"e69de29bb2d1d6434b8b29ae775ad8c2e48c5391","size":0},{"path":"benchmarks/benchmarks/bench_binary_clf.py","mode":"100644","sha":"231cb1e5ec1a8472e0556374c702b0ca42a48af7","size":270},{"path":"benchmarks/benchmarks/bench_multiclass_clf.py","mode":"100644","sha":"b2850bd41bf6ef3fc5373aca9e184d32de74ea85","size":307},{"path":"benchmarks/benchmarks/bench_regression.py","mode":"100644","sha":"d894272605a5015782b16fd685bc3aa2b9d54868","size":282},{"path":"benchmarks/benchmarks/common.py","mode":"100644","sha":"45fb976ba11969e1ea2026b3d9944c3e95ee3cb9","size":7250},{"path":"benchmarks/codspeed/python/marks.py","mode":"100644","sha":"4dfb0d3ad79b5e72dcfe011810c2c2b772c60970","size":621},{"path":"benchmarks/codspeed/python/test_active.py","mode":"100644","sha":"66351f90f625c86363f05dbef4cb67c6bf486421","size":459},{"path":"benchmarks/codspeed/python/test_anomaly.py","mode":"100644","sha":"98f3522cb6c65fbb6f50bcace172d37acc1542bc","size":899},{"path":"benchmarks/codspeed/python/test_bandit.py","mode":"100644","sha":"a6a8016325984966021b2038474f34d3c10fdb2f","size":464},{"path":"benchmarks/codspeed/python/test_cluster.py","mode":"100644","sha":"1702f36c34d4376443e6317b50e80ee0da34d8e5","size":1157},{"path":"benchmarks/codspeed/python/test_compose.py","mode":"100644","sha":"faf3ce57b066cb2180635fdd82c289090d87b9c9","size":854},{"path":"benchmarks/codspeed/python/test_covariance.py","mode":"100644","sha":"b8213303f9d80609235495de3fa6ceb497e5d3c3","size":377},{"path":"benchmarks/codspeed/python/test_drift.py","mode":"100644","sha":"06fe71fe74ecd0e55073ca07e0d81544136d10f5","size":924},{"path":"benchmarks/codspeed/python/test_ensemble.py","mode":"100644","sha":"2f94051e8018bd4a273c65bfd652d87edbe3e263","size":959},{"path":"benchmarks/codspeed/python/test_evaluate.py","mode":"100644","sha":"03406bc0660c97b8e23982711f2d7c2ee19db973","size":597},{"path":"benchmarks/codspeed/python/test_facto.py","mode":"100644","sha":"6748f63c44390527310d260c11ad3c3631c5abbf","size":629},{"path":"benchmarks/codspeed/python/test_feature_extraction.py","mode":"100644","sha":"7efa45dec02cdf8366ffe61c015623a4a1d31175","size":1125},{"path":"benchmarks/codspeed/python/test_feature_selection.py","mode":"100644","sha":"8c510f4f62efc646277f16fc43efa72d4ed7b521","size":417},{"path":"benchmarks/codspeed/python/test_forest.py","mode":"100644","sha":"478241b77a41bc0126e99123edfcd00678bea51a","size":1627},{"path":"benchmarks/codspeed/python/test_imblearn.py","mode":"100644","sha":"ac148e22fdff9fb48e6cabb84beb69e940c8ff42","size":495},{"path":"benchmarks/codspeed/python/test_linear_model.py","mode":"100644","sha":"9bbb5a737802d993ac3014dc9799ca02af43eae9","size":2495},{"path":"benchmarks/codspeed/python/test_metrics.py","mode":"100644","sha":"c69ee9dc4c4684f91e4cd8a38a63f9a1526d8856","size":1500},{"path":"benchmarks/codspeed/python/test_model_selection.py","mode":"100644","sha":"7fe62a1f14d3f999b7fdd7ac9881f4254450aeb3","size":477},{"path":"benchmarks/codspeed/python/test_multiclass.py","mode":"100644","sha":"4dfbb2d342eaea2faf070c8bffaf12ebb796fe1b","size":407},{"path":"benchmarks/codspeed/python/test_multioutput.py","mode":"100644","sha":"7253b8d41ec6f92edc141a17459a59514b308fdc","size":430},{"path":"benchmarks/codspeed/python/test_naive_bayes.py","mode":"100644","sha":"05caf83e8ed0bafd19bd088771ad4b6a5444bf7e","size":1816},{"path":"benchmarks/codspeed/python/test_neighbors.py","mode":"100644","sha":"d7c486b4b65c34715439f6e3778a733b3f6fbe86","size":914},{"path":"benchmarks/codspeed/python/test_preprocessing.py","mode":"100644","sha":"79a37181f7fd9b133491dc81f77f3c9abe06c703","size":2039},{"path":"benchmarks/codspeed/python/test_proba.py","mode":"100644","sha":"f89b361f51d5f2d20344d79a44dcfb702dcc2bde","size":617},{"path":"benchmarks/codspeed/python/test_reco.py","mode":"100644","sha":"c92773b34fabd794a497ca352e72466c1719dc2a","size":609},{"path":"benchmarks/codspeed/python/test_rules.py","mode":"100644","sha":"ca78b522c5816a549fbcd1b5b446e35398f45ec6","size":332},{"path":"benchmarks/codspeed/python/test_sketch.py","mode":"100644","sha":"3de98016c09164dfc33c612fa5c96f9ad16f7fdf","size":818},{"path":"benchmarks/codspeed/python/test_stats.py","mode":"100644","sha":"a3fdd466ee7f1eaac0527e7b1b93d578e523fbda","size":2142},{"path":"benchmarks/codspeed/python/test_time_series.py","mode":"100644","sha":"f503f82ad44b0338bdbc89f6f1d82941d1001241","size":665},{"path":"benchmarks/codspeed/python/test_tree.py","mode":"100644","sha":"8c74d63a22378a2c8e1291a6012bd7cd7c3c1497","size":1456},{"path":"benchmarks/codspeed/python/test_utils.py","mode":"100644","sha":"d300983ff8f7fee4da50ea1849284d46d59df86f","size":427},{"path":"benchmarks/codspeed/python/workloads.py","mode":"100644","sha":"54a8f108d94efa514e36b47e763d5b9d038c4ec4","size":5333},{"path":"benchmarks/codspeed/rust/adwin_bench.rs","mode":"100644","sha":"bd53211a4cd808895812dcf3e1f2ec84d18dbe68","size":1139},{"path":"benchmarks/codspeed/rust/covariance_bench.rs","mode":"100644","sha":"2079da991bf7776661423f25a9f5602f2bbf446f","size":682},{"path":"benchmarks/codspeed/rust/expected_mutual_info_bench.rs","mode":"100644","sha":"4bd73f396b30ecbf637d726594b2cde2dd942340","size":840},{"path":"benchmarks/codspeed/rust/rolling_metrics_bench.rs","mode":"100644","sha":"1a61df178b75bfa7558d8e039051e432e56eef06","size":1208},{"path":"benchmarks/codspeed/rust/sorted_window_bench.rs","mode":"100644","sha":"21ddf59b073555b335fdb738ce3de48f50ed6492","size":609},{"path":"benchmarks/codspeed/rust/stats_bench.rs","mode":"100644","sha":"e465ac20762e96f3496fc056e909278a5993f335","size":4153},{"path":"conftest.py","mode":"100644","sha":"699cb84a8a329708297474b61dc919494a6b5574","size":2531},{"path":"docs/.pages","mode":"100644","sha":"c72bb6ee96b39fe7f6146be3909662198ccbafd0","size":103},{"path":"docs/CNAME","mode":"100644","sha":"4e958e7a94c4a76e208578f6d42d9b97dd6dcca7","size":12},{"path":"docs/benchmarks/.pages","mode":"100644","sha":"261fd93277dc2da9b12acbe2ebd4b2470c6cface","size":18},{"path":"docs/benchmarks/index.md","mode":"100644","sha":"b7843f41bb007bee1d99c4eec9775c9d8b41f942","size":832},{"path":"docs/css/version-select.css","mode":"100644","sha":"49079bf4686eb063a7f541b913ca158486b408b3","size":101},{"path":"docs/examples/.pages","mode":"100644","sha":"8d98bd157f1ed5b840367f4f4a3b72f6264469a4","size":104},{"path":"docs/examples/batch-to-online.ipynb","mode":"100644","sha":"cf530517ea9270bb37de7ccf5c529a22c264cb92","size":24503},{"path":"docs/examples/bike-sharing-forecasting.ipynb","mode":"100644","sha":"73f9112a52e4e93626f7ef8314052b676bc8bf0c","size":20549},{"path":"docs/examples/building-a-simple-nowcasting-model.ipynb","mode":"100644","sha":"315e412973e579ef65d16426086970474acd7adc","size":131850},{"path":"docs/examples/content-personalization.ipynb","mode":"100644","sha":"2ad3d6120b14043b3897b96ab5981fd0a7dea2cf","size":987589},{"path":"docs/examples/debugging-a-pipeline.ipynb","mode":"100644","sha":"300790048cfb8e2d0848a5781eb5ab93ae9dcc8b","size":14914},{"path":"docs/examples/imbalanced-learning.ipynb","mode":"100644","sha":"60c2680908409a19c4731b67cda821807701aed5","size":18765},{"path":"docs/examples/matrix-factorization-for-recommender-systems/.pages","mode":"100644","sha":"b83771c4d0591ec75c986162124354b325b202d1","size":52},{"path":"docs/examples/matrix-factorization-for-recommender-systems/part-1.ipynb","mode":"100644","sha":"42f763a4963d7665eeac7d611e946f3596b20710","size":19102},{"path":"docs/examples/matrix-factorization-for-recommender-systems/part-2.ipynb","mode":"100644","sha":"289e559e326df95d56c29fd00b0b2d2f9d6ff81b","size":23846},{"path":"docs/examples/matrix-factorization-for-recommender-systems/part-3.ipynb","mode":"100644","sha":"037a839cea29398bef1f1a6dcd47ee643f6a1619","size":622},{"path":"docs/examples/on-hoeffding-trees.ipynb","mode":"100644","sha":"20db0491213b36510d0a1811cb9eae4cc4e4ca12","size":246440},{"path":"docs/examples/quantile-regression-uncertainty.ipynb","mode":"100644","sha":"b87cee8f4ad65e8d7c0f7d9987409684265cc02c","size":32917},{"path":"docs/examples/sentence-classification.ipynb","mode":"100644","sha":"c47ebc71a3798852e2053b1ebb18d8d633db3f3e","size":24011},{"path":"docs/examples/sentence_classification_files/sentence_classification_14_0.svg","mode":"100644","sha":"7520959043a825235b94274408cde7b797db47fd","size":3205},{"path":"docs/examples/sentence_classification_files/sentence_classification_19_0.svg","mode":"100644","sha":"7a3fbbb1ac43491ce0cce65e3bb0d7a6c512bc1f","size":3807},{"path":"docs/examples/sentence_classification_files/sentence_classification_31_0.svg","mode":"100644","sha":"861aea6902cc8b696e7ebf46e47eeeb8f33b0302","size":3840},{"path":"docs/examples/the-art-of-using-pipelines.ipynb","mode":"100644","sha":"aaff49526c64dd2c2f41dffaca4d22192064407e","size":28100},{"path":"docs/faq/.pages","mode":"100644","sha":"826a9af679b5cfe73100573f9b981482354f4858","size":11},{"path":"docs/faq/index.md","mode":"100644","sha":"0eef0f11c7b57e972dd2bc1c5df63523876d0fe5","size":4244},{"path":"docs/img/dtree_draw.svg","mode":"100644","sha":"f5dcaa6798f4ea598ebff3aefa18f229973623b4","size":4660},{"path":"docs/img/favicon.ico","mode":"100644","sha":"ec11e8df22587b5056387c89631708527f5fa4d9","size":43640},{"path":"docs/img/favicon_old.ico","mode":"100644","sha":"abe6d3d27a4320d6ea95938e1c7b32ea571391b0","size":19463},{"path":"docs/img/histogram_docstring.svg","mode":"100644","sha":"2ffe3b888c27c88af7bd44ba2c56cc0e99112b2a","size":24522},{"path":"docs/img/icon.png","mode":"100644","sha":"fea8afa6b7af61470ae04225218ee0fe2500b89e","size":19096},{"path":"docs/img/illustration.png","mode":"100644","sha":"2bfffc56ee1fe009e4c81d9a2acf4dff1132fee8","size":1619057},{"path":"docs/img/illustration_old.png","mode":"100755","sha":"d5ff79c887d122ca1f452224902ee78e77b0e7be","size":311139},{"path":"docs/img/logo.svg","mode":"100644","sha":"ac75de7357c50715c425ca990d5d10cb34792765","size":8729},{"path":"docs/img/logo_white.svg","mode":"100644","sha":"966c1685bec38bb016dca73af90efe397dd7fe8d","size":8729},{"path":"docs/img/online_active_learning.png","mode":"100644","sha":"b15bf81021a26e313b7b90c43800522fbaff8a9d","size":61438},{"path":"docs/img/pipeline_docstring.svg","mode":"100644","sha":"afea44d60f2aba23a4371a9736d75d86fc62a08e","size":7275},{"path":"docs/img/skyline_docstring.svg","mode":"100644","sha":"76f5de4739001c74090e19b5d9aada8f640a39bd","size":29533},{"path":"docs/index.md","mode":"100644","sha":"f1e90d10e38429cdfe5f2ac23ea7dc9096248f59","size":272},{"path":"docs/introduction/.pages","mode":"100644","sha":"22522e32425e227333608882548a73eadcf8ef31","size":150},{"path":"docs/introduction/basic-concepts.md","mode":"100644","sha":"ed48ad120501682b59220118803294936584c4d3","size":5892},{"path":"docs/introduction/getting-started/binary-classification.ipynb","mode":"100644","sha":"15f95001de10a2aa1403ecc157398be396ac9b85","size":16922},{"path":"docs/introduction/getting-started/concept-drift-detection.ipynb","mode":"100644","sha":"ba68dd9ff08468f5096d56c66ba6c46e70462873","size":695488},{"path":"docs/introduction/getting-started/concept-drift-detection_files/concept-drift-detection_1_0.png","mode":"100644","sha":"2f5d6aae11f8a7ca5b842805272cf6ba24819f96","size":29315},{"path":"docs/introduction/getting-started/concept-drift-detection_files/concept-drift-detection_3_1.png","mode":"100644","sha":"c595a603c4964ecc819ed1ed21f61e2b6217d825","size":29647},{"path":"docs/introduction/getting-started/index.md","mode":"100644","sha":"fbae8add932b4d18aec5aa65cea27b1340afe279","size":435},{"path":"docs/introduction/getting-started/multiclass-classification.ipynb","mode":"100644","sha":"9cd408cb1ad2c638dee221c2c3df92470cf406f6","size":12564},{"path":"docs/introduction/getting-started/regression.ipynb","mode":"100644","sha":"2a5c25735b648cd320b670131bc4d4b3cbbe791c","size":9102},{"path":"docs/introduction/installation.md","mode":"100644","sha":"e8d247e6becf558964c53b986360fd615b3b28ab","size":1262},{"path":"docs/introduction/next-steps.md","mode":"100644","sha":"d03a3e4827ba7db79a1fab498e1e0dc722bee3e6","size":1334},{"path":"docs/introduction/related-projects.md","mode":"100644","sha":"ce4e20cb297e1d0cbad4ab1b22f34ea4797c2513","size":389},{"path":"docs/introduction/why-use-river.md","mode":"100644","sha":"9c5f2744d172270b86d237875843dc3fc0743065","size":1047},{"path":"docs/javascripts/config.js","mode":"100644","sha":"06dbf38bfd362b300ea18ab6bf8556a08f5e751c","size":300},{"path":"docs/javascripts/tablesort.js","mode":"100644","sha":"6a5afcf2c57e43efceabd7affe4611cf83f1b9e3","size":172},{"path":"docs/js/version-select.js","mode":"100644","sha":"794b5cc870b92a4d22141a335a252e98bc5811e6","size":1645},{"path":"docs/license/.pages","mode":"100644","sha":"1ef11585c1c283c1bff13d6a617abfc729f99905","size":16},{"path":"docs/license/index.md","mode":"100644","sha":"87980bb6fee4eeb58fc55528b72efd9dc6f64de5","size":146},{"path":"docs/overrides/home.html","mode":"100644","sha":"10f0106d278fc99f4b53316f7a3662ff741482f2","size":9242},{"path":"docs/overrides/main.html","mode":"100644","sha":"5edc5d66c6788a4d5888f2f69aba5c45a0e1de3b","size":1008},{"path":"docs/overrides/partials/footer.html","mode":"100644","sha":"c703d1b7d3ee3533f001572c0d1d0caf55e5b6ca","size":786},{"path":"docs/overrides/partials/integrations/analytics.html","mode":"100644","sha":"f0acec71cd96701fb9a2ed10855f04efbd69f51a","size":122},{"path":"docs/parse/__main__.py","mode":"100644","sha":"d9d9e19d3cab64d791b65ddf821afd557a692a03","size":27935},{"path":"docs/parse/nbconvert_template/index.md.j2","mode":"100644","sha":"4f1b1450af6b73a2d2cee9076bc8738a54d4ec8e","size":468},{"path":"docs/recipes/.pages","mode":"100644","sha":"52f7720021f237330043717125a1c2908a5bd8aa","size":374},{"path":"docs/recipes/active-learning.ipynb","mode":"100644","sha":"ce144de06310327a9ee2350aaa3ad17387b06a2a","size":7768},{"path":"docs/recipes/bandits-101.ipynb","mode":"100644","sha":"71c07cba9084f54ecb35241c9b92e69a5bd3e4a6","size":209818},{"path":"docs/recipes/cloning-and-mutating.ipynb","mode":"100644","sha":"e35d8e8d96cdf6b30f29797bbb63298b757b5195","size":10873},{"path":"docs/recipes/clustering.ipynb","mode":"100644","sha":"031f911381b9fb7bceca2323d1bcd0d81d3b4d6c","size":6938},{"path":"docs/recipes/feature-extraction.ipynb","mode":"100644","sha":"c1cd1bbb45466ad857d0987377037407dcc82423","size":156456},{"path":"docs/recipes/mini-batching.ipynb","mode":"100644","sha":"d3c2b7861754a3daa118d373cd1531d02349b763","size":10639},{"path":"docs/recipes/model-evaluation.ipynb","mode":"100644","sha":"7f5a5b6ea72b31443344918cab81bbb443c7dc82","size":18984},{"path":"docs/recipes/pipelines.ipynb","mode":"100644","sha":"43c4315738bd56b61e9848506d5818b4c79a58c3","size":8476},{"path":"docs/recipes/pipelines_files/pipelines_18_0.svg","mode":"100644","sha":"828747fc543a9fb0f1a10aa40dce75652e3455ec","size":4557},{"path":"docs/recipes/pipelines_files/pipelines_8_0.svg","mode":"100644","sha":"054b72e2a035f64fdd98c7c82ba1b68464ed61d5","size":3483},{"path":"docs/recipes/reading-data.ipynb","mode":"100644","sha":"2de8a2cff6d19e6b29a0e44d1f5d36594aa4a847","size":13530},{"path":"docs/recipes/rolling-computations.ipynb","mode":"100644","sha":"f338c25a7b7ec28f3da076af497d39c7812421a5","size":3558},{"path":"docs/recipes/saving-loading.ipynb","mode":"100644","sha":"3bdf940c0574dd691eb6ccdd5cbf1f5a112b32d1","size":3091},{"path":"docs/releases/.pages","mode":"100644","sha":"4302f3d69098a5cdd56fadb341ed18ca3e78b4e2","size":47},{"path":"docs/releases/0.0.2.md","mode":"100644","sha":"d8e91865c4469b7f54132da75549ebad9318124e","size":817},{"path":"docs/releases/0.0.3.md","mode":"100644","sha":"75d57e89cfbb89a22595c8af19c0a1a6e3257af6","size":2280},{"path":"docs/releases/0.1.0.md","mode":"100644","sha":"f3068cd42b5cf8233a4ead27ee5a7824f9471a8c","size":2338},{"path":"docs/releases/0.10.0.md","mode":"100644","sha":"3f70d445ae6689283a11890aef9c92b29605c3f2","size":1937},{"path":"docs/releases/0.10.1.md","mode":"100644","sha":"32da290ca6f08826099118fc20065d7b0c8c9a61","size":256},{"path":"docs/releases/0.11.0.md","mode":"100644","sha":"797174da82c72af19768452e8f22fe42e9cc965c","size":3567},{"path":"docs/releases/0.11.1.md","mode":"100644","sha":"63e2243b3ecd8069220f7c71fd857f457ee1dcf6","size":133},{"path":"docs/releases/0.12.0.md","mode":"100644","sha":"967a06c3fbf06c4d6c7be25491a77ee4d65b20f7","size":4497},{"path":"docs/releases/0.12.1.md","mode":"100644","sha":"16f107233f926138de6dc0cbb708f8a8c5d91afd","size":95},{"path":"docs/releases/0.13.0.md","mode":"100644","sha":"c98a44ad26e35002f6938b03165b78375ee32001","size":523},{"path":"docs/releases/0.14.0.md","mode":"100644","sha":"04c91970543fd2db46cd3861cb77350dd92450aa","size":1636},{"path":"docs/releases/0.15.0.md","mode":"100644","sha":"0fc34689167277329fca2818075c1fc389d7f6a8","size":2826},{"path":"docs/releases/0.16.0.md","mode":"100644","sha":"317d93ca302913b13992980007d625293fba38e2","size":519},{"path":"docs/releases/0.17.0.md","mode":"100644","sha":"e01f57189777c96e147a645fcd6397dd2a766165","size":1449},{"path":"docs/releases/0.18.0.md","mode":"100644","sha":"d73b3c3cf31153c670d9a424041f033cc585d616","size":2172},{"path":"docs/releases/0.19.0.md","mode":"100644","sha":"02f6b2de5cb156567165a64f5a42aaea75ef5790","size":2312},{"path":"docs/releases/0.2.0.md","mode":"100644","sha":"79b4d1303fb5b4b1cdc18fd4358e7d6f02846984","size":1952},{"path":"docs/releases/0.20.0.md","mode":"100644","sha":"53bfa71c5e73445d6ce557cb52984f4d900884f5","size":3577},{"path":"docs/releases/0.20.1.md","mode":"100644","sha":"d16524c7d48d2cb96c71923eb1133cfb463e3b95","size":98},{"path":"docs/releases/0.21.0.md","mode":"100644","sha":"cde0682aa92682b0f1cc54b13a592ff8108d979f","size":427},{"path":"docs/releases/0.21.1.md","mode":"100644","sha":"185e9509999e83ef222a2d6ca18cb35bd0a6de2e","size":473},{"path":"docs/releases/0.21.2.md","mode":"100644","sha":"fb65bc062b430732f6f6644568cdb4755948c084","size":422},{"path":"docs/releases/0.22.0.md","mode":"100644","sha":"a8781f95c5127a9913066a04e2903c950666dca2","size":1299},{"path":"docs/releases/0.23.0.md","mode":"100644","sha":"298df81e0a8ac724459e99a18e817128ce636ca9","size":952},{"path":"docs/releases/0.24.0.md","mode":"100644","sha":"126db21484a013bbfec269d32944f7ba954f2c53","size":10076},{"path":"docs/releases/0.24.1.md","mode":"100644","sha":"fd8f67f496914b74ce91ddc9bb9188e8f15cb8e8","size":334},{"path":"docs/releases/0.24.2.md","mode":"100644","sha":"a35a57f39733e6da46f3b45c1a0f55f2299ddffa","size":557},{"path":"docs/releases/0.25.0.md","mode":"100644","sha":"9ed7590afde78a320cf0882679cde14c96466eef","size":14825},{"path":"docs/releases/0.26.0.md","mode":"100644","sha":"24ec8a7b8ce9d03f8e7901060cab24f9edc99255","size":24204},{"path":"docs/releases/0.26.1.md","mode":"100644","sha":"ab70536b7641b05c523aace8e9bdfb8a26530246","size":92},{"path":"docs/releases/0.3.0.md","mode":"100644","sha":"617406383ed1498361bc70fe0e6b2889ed1b3e93","size":1080},{"path":"docs/releases/0.4.1.md","mode":"100644","sha":"d2be0a7cd02c5d6b7df146d26dd26a0a84e5c1c0","size":2281},{"path":"docs/releases/0.4.3.md","mode":"100644","sha":"03bfdfb54643c240b5c137bbfce87a1b1c7724bd","size":419},{"path":"docs/releases/0.4.4.md","mode":"100644","sha":"06be63f8bc82ddcc438f54ea12719d8792ecc18d","size":1171},{"path":"docs/releases/0.5.0.md","mode":"100644","sha":"43c085fb526bbfc9a84b9c5f9e4629dff34ff406","size":3858},{"path":"docs/releases/0.5.1.md","mode":"100644","sha":"9f7efe68757bcb7e779ad742a317faef799dd372","size":929},{"path":"docs/releases/0.6.0.md","mode":"100644","sha":"7a14ebcf4d368d8022a866df12efbece55e5b992","size":2697},{"path":"docs/releases/0.6.1.md","mode":"100644","sha":"1789b971411a73a2d760e7a39c84245a46cdac33","size":153},{"path":"docs/releases/0.7.0.md","mode":"100644","sha":"b1bb279dd9e576a5b3cd11c05040a2e70023ac40","size":59},{"path":"docs/releases/0.7.1.md","mode":"100644","sha":"bc9215b716ae9bd5ed571e8b4111fe88606947df","size":299},{"path":"docs/releases/0.8.0.md","mode":"100644","sha":"8eee7be2894dd89c96707a60be373587f4c9ea44","size":737},{"path":"docs/releases/0.9.0.md","mode":"100644","sha":"c4d95dae75f72b6148030ca8d2fd77d9b0abf63c","size":3425},{"path":"docs/releases/unreleased.md","mode":"100644","sha":"ca07689c0353abb505b14319b4598b53bc95fb9a","size":3436},{"path":"docs/robots.txt","mode":"100644","sha":"bd35c1a34b524d77cc6a7041a595cf3c29a21bec","size":72},{"path":"docs/stylesheets/extra.css","mode":"100644","sha":"204cee4bae1896c9f632ca214f27d431ac6d6bb9","size":1605},{"path":"mkdocs.yml","mode":"100644","sha":"28e93ca7a11b5b110efdae8d2434502fe1d5ed4a","size":25199},{"path":"pyproject.toml","mode":"100644","sha":"efa440e5eb2c809bab583764970565fa211df9f4","size":9327},{"path":"river/__init__.py","mode":"100644","sha":"da617455d52c5314c1bbd5d20bd847295f11c795","size":670},{"path":"river/__version__.py","mode":"100644","sha":"6c5d4283353098051412d4650564acc6a212361e","size":59},{"path":"river/_river_rust/__init__.pyi","mode":"100644","sha":"e69de29bb2d1d6434b8b29ae775ad8c2e48c5391","size":0},{"path":"river/_river_rust/drift.pyi","mode":"100644","sha":"7e6f6078871004bfdafe78e56de6c8a485f0df2e","size":663},{"path":"river/_river_rust/feature_hashing.pyi","mode":"100644","sha":"390a8f14b0cdb428d013189c3a81ca46a2741b2b","size":158},{"path":"river/_river_rust/stats.pyi","mode":"100644","sha":"e686a6a5f80cc39accb8238eeb609577a6578000","size":3683},{"path":"river/_river_rust/tree.pyi","mode":"100644","sha":"4ed818d59da42a1dbba077d87d2ff733e9fb1683","size":2377},{"path":"river/_river_rust/vectordict.pyi","mode":"100644","sha":"d6c9d0f3fd2994cc08d16c0ceb3e38f11ebcea5f","size":4158},{"path":"river/active/__init__.py","mode":"100644","sha":"ffa17e759a5b9f08c45c55173b1e0515cb956d86","size":160},{"path":"river/active/base.py","mode":"100644","sha":"b403259e6f7a72413941ec01d6861b4baf962149","size":1856},{"path":"river/active/entropy.py","mode":"100644","sha":"bd02f80e14d7cc312f3ccf43d6f8520784c0e946","size":3120},{"path":"river/anomaly/__init__.py","mode":"100644","sha":"e2677ff137860cd07be047d8848f69a7ae2d7c67","size":1319},{"path":"river/anomaly/filter.py","mode":"100644","sha":"f9fa5603338605ca3a0912a4f804a78ac41f1f0a","size":5873},{"path":"river/anomaly/gaussian.py","mode":"100644","sha":"fdab14e652d4c6857650718177854e6884205fdc","size":1809},{"path":"river/anomaly/hst.py","mode":"100644","sha":"ee363e2b5d6f1879226cfe0460001bd397244196","size":7899},{"path":"river/anomaly/loda.py","mode":"100644","sha":"04f4bcc9a22b789497352975e9c1ee1f0e7cb945","size":5581},{"path":"river/anomaly/lof.py","mode":"100644","sha":"cc1d2552735ca4a65900654c0d8b8223e183b6e8","size":9197},{"path":"river/anomaly/pad.py","mode":"100644","sha":"1960feed4075b4082b12b8d2b01d22b9a7cd51e9","size":6923},{"path":"river/anomaly/sad.py","mode":"100644","sha":"4d998101dd86bd24add21f056929e71c1904fae3","size":2402},{"path":"river/anomaly/svm.py","mode":"100644","sha":"38cf837f3635490cda1da532e121904ae2a11f6c","size":3778},{"path":"river/api.py","mode":"100644","sha":"670d7f44dd79a6dfa06c641b32bcc485dcb7c939","size":1212},{"path":"river/bandit/__init__.py","mode":"100644","sha":"70b0a98a72472d51494b3260b2e2660292313ca0","size":809},{"path":"river/bandit/base.py","mode":"100644","sha":"f5df1717b0c80007706010af2576c5477e7ac368","size":7108},{"path":"river/bandit/bayes_ucb.py","mode":"100644","sha":"99cb7838907b6d8468f79be65f2c0b3b5acb6e60","size":3079},{"path":"river/bandit/datasets/__init__.py","mode":"100644","sha":"737daf92c3b4da58df6ff33cfcc77992f60534a0","size":144},{"path":"river/bandit/datasets/base.py","mode":"100644","sha":"4aed986a4ed45ebac5d21404963f1d8d7cb9ef70","size":1210},{"path":"river/bandit/datasets/news.py","mode":"100644","sha":"6fd2bb8b0ee597e28890c33dcd6f692a93b40693","size":1677},{"path":"river/bandit/envs/__init__.py","mode":"100644","sha":"673edc927720c864b3d5d3c219b3150c307d17b7","size":908},{"path":"river/bandit/envs/candy_cane.py","mode":"100644","sha":"fa95652dcd2855314d1e22c23c59a71bf37d9741","size":2753},{"path":"river/bandit/envs/testbed.py","mode":"100644","sha":"7b8b725d3f1fc543b284c65481212e0fe6088a59","size":1321},{"path":"river/bandit/epsilon_greedy.py","mode":"100644","sha":"a422bd1dafca588e808ad48723d41ff347afbd3e","size":2935},{"path":"river/bandit/evaluate.py","mode":"100644","sha":"caf4ea46dddf30efd81771f1853b0778e60014c0","size":9390},{"path":"river/bandit/exp3.py","mode":"100644","sha":"a675472dea3bedcb3d10d2e1bb837c21a0c7d686","size":3834},{"path":"river/bandit/lin_ucb.py","mode":"100644","sha":"634cac1f1a7c0eda0d76c0ac23aae9e0be8b7ff0","size":3166},{"path":"river/bandit/random.py","mode":"100644","sha":"8b7ca85ac818f289ca15b9ce9c9bbcef950c19fa","size":1682},{"path":"river/bandit/thompson.py","mode":"100644","sha":"c53533448b4a01da9335a2d3a6ea33dda35aaae8","size":2834},{"path":"river/bandit/ucb.py","mode":"100644","sha":"e37ee290d88281a60897bf2f6c6397b816ac1305","size":3775},{"path":"river/base/__init__.py","mode":"100644","sha":"22cbaecd664125ff482e7bb1943405e6bce48738","size":1911},{"path":"river/base/anomaly_detector.py","mode":"100644","sha":"bee084ec25184fe25f057705121779b0d79f7371","size":4458},{"path":"river/base/base.py","mode":"100644","sha":"6c6e3cf7832398527177a65e2319b06f1cfb829b","size":18188},{"path":"river/base/classifier.py","mode":"100644","sha":"01f6b8b9d4bf80d2647e8a42583454c609ad3134","size":3856},{"path":"river/base/clusterer.py","mode":"100644","sha":"ea314a65d4fa2eb8daf478e7662dbc3200e0ee28","size":810},{"path":"river/base/drift_detector.py","mode":"100644","sha":"ab76036e649fc61580d5922aba6178285ea93c5a","size":2207},{"path":"river/base/ensemble.py","mode":"100644","sha":"202668f9bbcd5f303ec99c610e491b5424aab8b1","size":1537},{"path":"river/base/estimator.py","mode":"100644","sha":"447b46ba8c151766d38e3825fc5bdd2bccc71c36","size":3834},{"path":"river/base/multi_output.py","mode":"100644","sha":"68cf013afc9509c245832f8ea18d1838aa662b8d","size":2571},{"path":"river/base/regressor.py","mode":"100644","sha":"88c8a351a261bed10cbb6bc0faf170d414d5dc11","size":1619},{"path":"river/base/tags.py","mode":"100644","sha":"9a6fe98088394b6b622707d91a0a3fdff0b6e0d0","size":96},{"path":"river/base/transformer.py","mode":"100644","sha":"677c95c579bf7f454732bd6db6258894c898bbba","size":4691},{"path":"river/base/typing.py","mode":"100644","sha":"80c4f6578cbc099e7719b08c5ce7cde79abe1dd6","size":1182},{"path":"river/base/viz.py","mode":"100644","sha":"a451c2951d9df33405d15eee2a97a8cfed103798","size":4527},{"path":"river/base/wrapper.py","mode":"100644","sha":"c4157859191309abc67ce5062ba59c40bee0475d","size":1110},{"path":"river/checks/__init__.py","mode":"100644","sha":"9936675feb54200b70c510c1b3e9e1976848db76","size":9486},{"path":"river/checks/anomaly.py","mode":"100644","sha":"f105abd64b1de726c9b78f22b42015144ed781b6","size":643},{"path":"river/checks/clf.py","mode":"100644","sha":"a1fda482447db0ba0532ab9371fb766295bd8c86","size":2222},{"path":"river/checks/common.py","mode":"100644","sha":"75a07315b521b33581b040dee398b54cda8754dd","size":22679},{"path":"river/checks/model_selection.py","mode":"100644","sha":"9bb0d3b771237019231c623cf8ff828180cc01c5","size":715},{"path":"river/checks/reco.py","mode":"100644","sha":"4c3c40d4be62443bd0dd0f84a39f773a81b82aa5","size":552},{"path":"river/checks/time_series.py","mode":"100644","sha":"39ff972d6ca3e65b6528e8305ba48cae03d9aa35","size":780},{"path":"river/checks/utils.py","mode":"100644","sha":"37b0c21a41b44ec91ec8e74a4360902ce8aebb06","size":1108},{"path":"river/cluster/__init__.py","mode":"100644","sha":"0fe354fd2f15b70da4e7a28e65d7ed60ded49cb6","size":385},{"path":"river/cluster/clustream.py","mode":"100644","sha":"ed1dbb59350a0072ea0a2a099ecb867ccaa24a7b","size":12855},{"path":"river/cluster/dbstream.py","mode":"100644","sha":"b96e079117efe5fa3edaafca344e6e7a45d20428","size":17709},{"path":"river/cluster/denstream.py","mode":"100644","sha":"ee17757d9bee6992aa96941e9dca238b8a406bbc","size":19084},{"path":"river/cluster/k_means.py","mode":"100644","sha":"695c0d552c22a6dce18188c77308360d36007e49","size":4707},{"path":"river/cluster/odac.py","mode":"100644","sha":"e3c92dec612e7edc2194ade5aee1cb4b9e6d011d","size":23309},{"path":"river/cluster/streamkmeans.py","mode":"100644","sha":"e1abaeebd54da94e9d3ff032dc2349142b47df18","size":3816},{"path":"river/cluster/textclust.py","mode":"100644","sha":"161ab7f8ba0add7e81f745738d39ceebd6d67018","size":23392},{"path":"river/compat/__init__.py","mode":"100644","sha":"c07a20db9a8a7ad4b45ea24eb92c755c92d6a499","size":1028},{"path":"river/compat/river_to_sklearn.py","mode":"100644","sha":"44ce8898411235641bbd08a598932e3090c96b6a","size":16514},{"path":"river/compat/sklearn_to_river.py","mode":"100644","sha":"7d22e4664fc1b2ad73b2c70f55453f39a29d7187","size":10846},{"path":"river/compose/__init__.py","mode":"100644","sha":"d0570d852c2835974d4a365c2cb3a5ebe39fde1f","size":879},{"path":"river/compose/func.py","mode":"100644","sha":"7c0cfc28824c4f26c3ac72cba38028c71defab1f","size":3526},{"path":"river/compose/grouper.py","mode":"100644","sha":"b2bb853f944ef3ade9fc59ce94bde7dced2d79d3","size":1430},{"path":"river/compose/pipeline.py","mode":"100644","sha":"1fa4c4785e9196fda3a1b7d91c7bf9bb9e233109","size":31423},{"path":"river/compose/product.py","mode":"100644","sha":"d4734b4a367f73332c308e94772bd2f8a1a79df1","size":5710},{"path":"river/compose/renamer.py","mode":"100644","sha":"fb99baa255b5b1402669b97cc234cb40d8401caa","size":2070},{"path":"river/compose/select.py","mode":"100644","sha":"a38622339aec8bf0ac105292748bb6359899edbb","size":5567},{"path":"river/compose/target_transform.py","mode":"100644","sha":"a300b5bd050eb2004c1df41c4c24150514b5540d","size":1788},{"path":"river/compose/union.py","mode":"100644","sha":"77d93ea903e8a0efd5f91c858a57778ef854e4b4","size":10461},{"path":"river/conf/__init__.py","mode":"100644","sha":"ef6df5a9b8f765a2887ce16ef9f046b2f7d4deb2","size":293},{"path":"river/conf/interval.py","mode":"100644","sha":"a9633d552761959cbb3d4ab8d8d1a4f050bed056","size":897},{"path":"river/conf/jackknife.py","mode":"100644","sha":"37c0b32f57817fb18f7d4ad338795e51f787072b","size":5453},{"path":"river/covariance/__init__.py","mode":"100644","sha":"9413f778f8489e795e7a2b4b8d5c5393db3b69c2","size":1083},{"path":"river/covariance/emp.py","mode":"100644","sha":"b5a043f63673223886ade1e748838f1a3302bf6a","size":14492},{"path":"river/covariance/ewa.py","mode":"100644","sha":"454f7c69bc535449c9d969cdf96eec8ac1cfdb45","size":22490},{"path":"river/datasets/__init__.py","mode":"100644","sha":"118a5ff4d21035992567503099a67294d5d13893","size":3551},{"path":"river/datasets/airline-passengers.csv","mode":"100644","sha":"bd9a006c44b28317ff376c125f85891de585cce3","size":2182},{"path":"river/datasets/airline_passengers.py","mode":"100644","sha":"86082aa30cccc84359f12eddba9262c9fb4c9d02","size":971},{"path":"river/datasets/banana.zip","mode":"100644","sha":"f65bdbed716e8ebc83b860935d3ad719058c13c2","size":49917},{"path":"river/datasets/bananas.py","mode":"100644","sha":"89dafe0d7f99ce1ba2f2ff7646a19ab6caebd250","size":634},{"path":"river/datasets/base.py","mode":"100644","sha":"21d56da89697aec5859f5bb94f8e3e8ab0fc6cd0","size":10354},{"path":"river/datasets/beth.py","mode":"100644","sha":"2672132a0c22a48dac3f23e56f42bedf01687864","size":2962},{"path":"river/datasets/bikes.py","mode":"100644","sha":"530fe4ac24a34d160dd8b6d01e88c493dc3c4c52","size":1176},{"path":"river/datasets/chick-weights.csv","mode":"100644","sha":"f1955859fd91732aa975ef2b1ecd52ef435ee5a8","size":6331},{"path":"river/datasets/chick_weights.py","mode":"100644","sha":"aaa129c008830fca6ade39fe06989325aa98d9d3","size":854},{"path":"river/datasets/credit_card.py","mode":"100644","sha":"27f4eb08499f4f713ceede51c080db0a88dc9e0b","size":3732},{"path":"river/datasets/criteo.py","mode":"100644","sha":"f25ae1fef0546fdc0605e9dbc974ef2e7d3ae2d4","size":1831},{"path":"river/datasets/elec2.py","mode":"100644","sha":"0d7cf143945f62fe30bfce9a6f5af6fa77a0d9b9","size":1633},{"path":"river/datasets/higgs.py","mode":"100644","sha":"1ee909d0a77d86c294658e0972eee5c860d821b3","size":1956},{"path":"river/datasets/http.py","mode":"100644","sha":"5fee2b166e23dfa78f5e647506d706e54f3ee0fd","size":988},{"path":"river/datasets/insects.py","mode":"100644","sha":"f369e6ba3e7a8abfb3b8555dfb09ddffbdbd0a26","size":5014},{"path":"river/datasets/keystroke.py","mode":"100644","sha":"249e2846cfb4e87e000154ed9c8a131588ab150e","size":2040},{"path":"river/datasets/malicious_url.py","mode":"100644","sha":"a5c0fb8d1be10f3822d7652b822c051d818aceec","size":1497},{"path":"river/datasets/movielens100k.py","mode":"100644","sha":"c7ed8a362d8208ef4ec9ad54d7b127348a4deeb0","size":1832},{"path":"river/datasets/music.py","mode":"100644","sha":"67c865acce4bf548d2c5bc73b9be125a7bac6417","size":5410},{"path":"river/datasets/phishing.csv.gz","mode":"100644","sha":"a1da87ed2696cf33e00b9a83bd41f9aaf9cc9832","size":3991},{"path":"river/datasets/phishing.py","mode":"100644","sha":"ef84d4e486f733bbe7eba484e0e9ce2232f336be","size":1135},{"path":"river/datasets/restaurants.py","mode":"100644","sha":"c5705fcab7c36e5ca29b2d77b28b5c0aa738738e","size":1209},{"path":"river/datasets/segment.csv.zip","mode":"100644","sha":"8a40211fbda5d5007bc5f435c72fade795747f5f","size":122552},{"path":"river/datasets/segment.py","mode":"100644","sha":"b97c615c9540df5aff7e3b67bca88460376dcccc","size":1522},{"path":"river/datasets/shuttle.csv.gz","mode":"100644","sha":"d8018ccd6b682b108b2a5c0c68518a0464b4531d","size":346275},{"path":"river/datasets/shuttle.py","mode":"100644","sha":"7e47338b2eccb4e6e4dca5c4992d387e193258f6","size":2242},{"path":"river/datasets/sms_spam.py","mode":"100644","sha":"539aa846c924419b93788aaf10fe555abcd62b4b","size":1152},{"path":"river/datasets/smtp.py","mode":"100644","sha":"ec37b11518e61f2bc1d4e555110fedde2d9ff6b9","size":1010},{"path":"river/datasets/solar-flare.csv.zip","mode":"100644","sha":"14b47e66acbfb84336f7da74980170f83f08c549","size":3117},{"path":"river/datasets/solar_flare.py","mode":"100644","sha":"73606ee44fb7e8b80a30fccdff96873cd602cb2f","size":1210},{"path":"river/datasets/sp500.csv.gz","mode":"100644","sha":"b769a2c3bc23780620dfc89c67ee8d5f62fc9229","size":59118},{"path":"river/datasets/sp500.py","mode":"100644","sha":"8de635ad4b63d107500afec6d2a96f3f85c0d269","size":1773},{"path":"river/datasets/synth/__init__.py","mode":"100644","sha":"45403384512bed81b4f444b25247a49809086689","size":2943},{"path":"river/datasets/synth/agrawal.py","mode":"100644","sha":"39181aacc05fc599697ee824439a317637e7f841","size":12205},{"path":"river/datasets/synth/anomaly_sine.py","mode":"100644","sha":"8ecbe5ef7e39f708d64a63f21beed46be7abfc41","size":4727},{"path":"river/datasets/synth/concept_drift_stream.py","mode":"100644","sha":"b00f35ba72b28e74a6b119e15bf1fecf8ca00fcc","size":5990},{"path":"river/datasets/synth/friedman.py","mode":"100644","sha":"d6f3baa5ef63dbcaed90a081cbc229f43e811724","size":12920},{"path":"river/datasets/synth/hyper_plane.py","mode":"100644","sha":"c75d7a89267f564bfc092da670667642fb27e66f","size":4638},{"path":"river/datasets/synth/led.py","mode":"100644","sha":"00f8f0b41fa2cf243a3a08f370a4ccf3d1c6afd5","size":7449},{"path":"river/datasets/synth/logical.py","mode":"100644","sha":"064bac42fb01c77e8951dc7ed0087e19937ecc26","size":2896},{"path":"river/datasets/synth/mixed.py","mode":"100644","sha":"2c09fb0ca9094caa6d84c3e620d6283b851aa247","size":5343},{"path":"river/datasets/synth/mv.py","mode":"100644","sha":"8dd51f89782eee129056684f749e1eff7d5e42ae","size":3953},{"path":"river/datasets/synth/planes_2d.py","mode":"100644","sha":"c93453087f921747b11f35dcbc74f40826e9b172","size":2081},{"path":"river/datasets/synth/random_rbf.py","mode":"100644","sha":"9d03017cd1ce5963aeb9f9d4a2e583c6e4c784cd","size":8901},{"path":"river/datasets/synth/random_tree.py","mode":"100644","sha":"c01d513a1f7aaca342c5327ad77e83ad131feb70","size":10554},{"path":"river/datasets/synth/sea.py","mode":"100644","sha":"7b44af65422e93edffe0834a7557b34e4800e046","size":2485},{"path":"river/datasets/synth/sine.py","mode":"100644","sha":"1ad0fcc0427b2ead9e845eb2c31954ad5a9790cd","size":6290},{"path":"river/datasets/synth/stagger.py","mode":"100644","sha":"03e2af02dbc083ad16fd9c20601baa159a5b113a","size":5466},{"path":"river/datasets/synth/waveform.py","mode":"100644","sha":"69951a1d46f4c0f4c3a1cae0d9af685330c16ff5","size":3315},{"path":"river/datasets/taxis.py","mode":"100644","sha":"9b494019135ca84aa7eb6b3ad0de0ac9015fbb2c","size":1202},{"path":"river/datasets/trec07.py","mode":"100644","sha":"744a5a5f03c6f28c0151c907297fa898da1ac46c","size":1223},{"path":"river/datasets/trump_approval.csv.gz","mode":"100644","sha":"a2b3ccc3e580694e14ea906f64aa4a73a14fe9d2","size":10957},{"path":"river/datasets/trump_approval.py","mode":"100644","sha":"e5e9320782f1873167586c2e96b58fb0d3b4fd19","size":1275},{"path":"river/datasets/water-flow.csv","mode":"100644","sha":"46cdfc7eea4a7a0df3341f9fc4ed36aa97972b57","size":41672},{"path":"river/datasets/water_flow.py","mode":"100644","sha":"a1e3b544967f64209530a7c4b803553172efe529","size":1359},{"path":"river/datasets/web_traffic.py","mode":"100644","sha":"6833ac7fb0558539bf9af12cc0171a2bf554970a","size":2399},{"path":"river/datasets/yeast.csv.gz","mode":"100644","sha":"caf0774dd7533291eafb54748090651ffdfa143a","size":840822},{"path":"river/datasets/yeast.py","mode":"100644","sha":"5a1edd79dd98e0bc3f76d4ca17809fb0e149617a","size":1589},{"path":"river/drift/__init__.py","mode":"100644","sha":"61dd29c973e0fd4e684304aada37b27d80b29287","size":743},{"path":"river/drift/adwin.py","mode":"100644","sha":"2b86ab63d6ece5e03ebf01c6cb00fa3ede67fc61","size":5015},{"path":"river/drift/binary/__init__.py","mode":"100644","sha":"7f7c1018f820e43c71b4c1c7513980fd44ffd33d","size":251},{"path":"river/drift/binary/ddm.py","mode":"100644","sha":"c93ab9b1a6b72927bc4cffa94ad2342427d23c70","size":4976},{"path":"river/drift/binary/eddm.py","mode":"100644","sha":"2baf855769817048fb83f871b6c0663221c649c6","size":5831},{"path":"river/drift/binary/fhddm.py","mode":"100644","sha":"b8ee10fd33cd1481bf6c9afb83e46d2d1da63fd9","size":4876},{"path":"river/drift/binary/hddm_a.py","mode":"100644","sha":"2b0bb1c122b1160222451b3f763cdc6870a1d4ac","size":5648},{"path":"river/drift/binary/hddm_w.py","mode":"100644","sha":"8f9a433f2d00faaad685d624d2412df479916f8c","size":6846},{"path":"river/drift/datasets/__init__.py","mode":"100644","sha":"b5766918f03e9a67049edf1b6357aa9156993f1c","size":431},{"path":"river/drift/datasets/airline_passengers.csv","mode":"100644","sha":"1270ba08db8ac99181e140dc0373bb755969023b","size":7978},{"path":"river/drift/datasets/airline_passengers.py","mode":"100644","sha":"33a803fe23fb388b04423bdcf1e730307e4fbbbb","size":1150},{"path":"river/drift/datasets/apple.csv","mode":"100644","sha":"748e803eaadad4be1c83f02c2b84604474130010","size":121995},{"path":"river/drift/datasets/apple.py","mode":"100644","sha":"59c7378f14992cedd0e0972b51caf1711fe8f741","size":1457},{"path":"river/drift/datasets/base.py","mode":"100644","sha":"e2ebce6b920ed2b37dd57af024050050eea31bd1","size":2831},{"path":"river/drift/datasets/bitcoin.csv","mode":"100644","sha":"5599c2c34e2576b45975c1426ad13017485b9473","size":18360},{"path":"river/drift/datasets/bitcoin.py","mode":"100644","sha":"3ece771c987267351cc8115d4914dc13926ad801","size":1376},{"path":"river/drift/datasets/brent_crude_oil.csv","mode":"100644","sha":"ecc6b5301c6470fdeaaf989b79f1a1528ab3c50f","size":136417},{"path":"river/drift/datasets/brent_crude_oil.py","mode":"100644","sha":"78e5435ed359598616dd25a7065a4232a375576e","size":1784},{"path":"river/drift/datasets/occupancy.csv","mode":"100644","sha":"10330cbc225a4e2c0ad063343b960b576df75f32","size":23319},{"path":"river/drift/datasets/occupancy.py","mode":"100644","sha":"ac1b33b5591f0268384ceacdb1e68c7b10a393e6","size":1558},{"path":"river/drift/datasets/run_log.csv","mode":"100644","sha":"348773b40e92344c526054bdd28afb8f926414c7","size":14717},{"path":"river/drift/datasets/run_log.py","mode":"100644","sha":"3361e13a6558e2766c118cdcb691893030758b63","size":1152},{"path":"river/drift/datasets/uk_coal_employment.csv","mode":"100644","sha":"5cb91e3994b584de5d59ecb73973418ee517f1e4","size":1236},{"path":"river/drift/datasets/uk_coal_employment.py","mode":"100644","sha":"bc36666a4742042c30db8f4044db0e1fdbb92f02","size":1321},{"path":"river/drift/dummy.py","mode":"100644","sha":"212f3f06261cc1220145fe465b75581636417419","size":6568},{"path":"river/drift/kswin.py","mode":"100644","sha":"55ebb79efb756ad07152836ee25123b3a60632d3","size":5249},{"path":"river/drift/no_drift.py","mode":"100644","sha":"d6acc49ba01ab578b4cf6ac7bef6cf8fc9014592","size":1859},{"path":"river/drift/page_hinkley.py","mode":"100644","sha":"c14c82121e19afc9d251fdb5339a00a89f3f48f8","size":4435},{"path":"river/drift/retrain.py","mode":"100644","sha":"a1d385de11b1e049e067f7b2624304b4c9d4aad7","size":3860},{"path":"river/dummy.py","mode":"100644","sha":"6cba646c919a48555523a4f3c81d7be90bff394c","size":5012},{"path":"river/ensemble/__init__.py","mode":"100644","sha":"1456fc84a97be7ec02d778bfd2261c449da6ac5f","size":1120},{"path":"river/ensemble/bagging.py","mode":"100644","sha":"3f32d2ea921065b4bddb40088e7cb957cf8af970","size":14390},{"path":"river/ensemble/boosting.py","mode":"100644","sha":"aa3b7037069d02787a868e5ff11d05d0fd1ac80f","size":13811},{"path":"river/ensemble/ewa.py","mode":"100644","sha":"4a3d77358b4c1fa1fa42b96a23e024e79d671142","size":4061},{"path":"river/ensemble/stacking.py","mode":"100644","sha":"d9edb0b3885af8388c27c06892899f3059d321f5","size":3022},{"path":"river/ensemble/streaming_random_patches.py","mode":"100644","sha":"5710514140a9a3c125c82b7abc6bab70f9588006","size":32866},{"path":"river/ensemble/voting.py","mode":"100644","sha":"25385c5d2462d94a128c8b4621eb2699ef55f22c","size":2509},{"path":"river/evaluate/__init__.py","mode":"100644","sha":"576b551a9929fd5210fee30d863cd57dd2d64b89","size":1265},{"path":"river/evaluate/forecasting.py","mode":"100644","sha":"eab4a8eefd5d1f8245ff77edb8c2d164588e878c","size":4584},{"path":"river/evaluate/gen.py","mode":"100644","sha":"f287605630c3ed937f4b277904ceea6533994231","size":2137},{"path":"river/evaluate/progressive_validation.py","mode":"100644","sha":"bc0879cb4f2a6b29d0fdb6666a25a7a39094340f","size":20423},{"path":"river/evaluate/tracks.py","mode":"100644","sha":"9a7d64426a1fe537abb5175a865df0bfa3a5ec81","size":4602},{"path":"river/exceptions.py","mode":"100644","sha":"ef32507028d89810d64cfbea79fae3d59165914c","size":695},{"path":"river/facto/__init__.py","mode":"100644","sha":"6c517d5e56010dc590dfa2c6a74386b53468ff44","size":431},{"path":"river/facto/base.py","mode":"100644","sha":"2574c7d6ce5a39c84545af023e031222cf37ce3a","size":7159},{"path":"river/facto/ffm.py","mode":"100644","sha":"196025453fb3f1045b026af1c1427131924d3f1b","size":15321},{"path":"river/facto/fm.py","mode":"100644","sha":"b4a91652831ca6291dc64ebf3068ba03e9893bf6","size":14162},{"path":"river/facto/fwfm.py","mode":"100644","sha":"d74d95b173a525c0ce26a0e97daca603bf4ac184","size":16131},{"path":"river/facto/hofm.py","mode":"100644","sha":"e994f2e94267999f9f597c1776977c4c38530972","size":15479},{"path":"river/feature_extraction/__init__.py","mode":"100644","sha":"eeed2e81abdca95a56593838d4f5d5507f701664","size":725},{"path":"river/feature_extraction/agg.py","mode":"100644","sha":"d91522e9f6ec3f99f12972d72eefcd15d65d94a2","size":12451},{"path":"river/feature_extraction/kernel_approx.py","mode":"100644","sha":"689a63f96fa54c55246d8679522155c2dd7a153c","size":7517},{"path":"river/feature_extraction/poly.py","mode":"100644","sha":"97882a0ad17255c6acebb55369a98a39a2c5330c","size":3682},{"path":"river/feature_extraction/vectorize.py","mode":"100644","sha":"82611aec3e147e8c80826996cde6fb14711bed79","size":21385},{"path":"river/feature_selection/__init__.py","mode":"100644","sha":"59f0c635a964b5be71611ba8aab4c460c9a9b847","size":239},{"path":"river/feature_selection/k_best.py","mode":"100644","sha":"38b2fd526ce124d128d00b184302eb2095f0561a","size":4424},{"path":"river/feature_selection/random.py","mode":"100644","sha":"f4c28f596f54909db131ff09e8ee06ea88dcec8b","size":2298},{"path":"river/feature_selection/variance.py","mode":"100644","sha":"494b537f53d3d5d31fd3859b47ae2edeb9f31ab5","size":1854},{"path":"river/forest/__init__.py","mode":"100644","sha":"12a54da71703bb5c63ed9115694b140ab245b89e","size":401},{"path":"river/forest/adaptive_random_forest.py","mode":"100644","sha":"4a406daa5d7c94340fa201be71dd81810f6c0889","size":38634},{"path":"river/forest/aggregated_mondrian_forest.py","mode":"100644","sha":"bfe0a68107ce9d0aca69104c569ab46727875e03","size":13085},{"path":"river/forest/online_extra_trees.py","mode":"100644","sha":"ee361007ebb25877bb4daa1a3c9dcfc3e4e150be","size":29113},{"path":"river/imblearn/__init__.py","mode":"100644","sha":"c551be9239ec41d352c774ac620bd8a6178eed41","size":477},{"path":"river/imblearn/chebyshev.py","mode":"100644","sha":"5c9c3baaf79616a43338b420589f68db41299340","size":7107},{"path":"river/imblearn/hard_sampling.py","mode":"100644","sha":"f024daeeca38502470a1867eb4ec41c5574db8a0","size":7295},{"path":"river/imblearn/random.py","mode":"100644","sha":"5c7a058ecc73bf1f08ba01aa5972413495b66cee","size":8395},{"path":"river/linear_model/__init__.py","mode":"100644","sha":"5eb107ffac226b906e5ef6290c9a070c8c91b141","size":629},{"path":"river/linear_model/ad_predictor.py","mode":"100644","sha":"95eac479df4843f618190910a2c346d54236af14","size":7234},{"path":"river/linear_model/alma.py","mode":"100644","sha":"7f88ea011c52c03aadb08bf76069cae66f9995f2","size":2455},{"path":"river/linear_model/base.py","mode":"100644","sha":"53ee3925e8be7fb67fb81f948fc17d584a2d456a","size":9642},{"path":"river/linear_model/bayesian_lin_reg.py","mode":"100644","sha":"d50f9e268cb59cac04eb2f99435f8b52edbff6da","size":13426},{"path":"river/linear_model/lin_reg.py","mode":"100644","sha":"3025c850543dce7a473ed968b3e74b7cc0903df8","size":6208},{"path":"river/linear_model/log_reg.py","mode":"100644","sha":"244f1c432a69d95b2fcbb45a7fcfb6d237e198af","size":4528},{"path":"river/linear_model/pa.py","mode":"100644","sha":"52bb4ce6a4cc47b450af8e77042656d6a8183cab","size":6249},{"path":"river/linear_model/perceptron.py","mode":"100644","sha":"46475b2b8fb29cb915650f834e604fedf89ddbb1","size":1663},{"path":"river/linear_model/softmax.py","mode":"100644","sha":"05342c4fa29daae66a11258b99abe54aec0fba2f","size":3667},{"path":"river/metrics/__init__.py","mode":"100644","sha":"cd3381305682f4cf16d96b97e7bf2409ccf6b7d4","size":2805},{"path":"river/metrics/accuracy.py","mode":"100644","sha":"c7b60188238184b905384ec58aa7b9c903a2851f","size":905},{"path":"river/metrics/balanced_accuracy.py","mode":"100644","sha":"d96efd96d68a2e074c604778b6c8dd534a5ad7ad","size":1856},{"path":"river/metrics/base.py","mode":"100644","sha":"2d452061724c1eb409ec572e47bb47d36c4297f9","size":10803},{"path":"river/metrics/confusion.py","mode":"100644","sha":"f18108f9f3f8f9eb17b4a3c972f3b27248c83684","size":4350},{"path":"river/metrics/cross_entropy.py","mode":"100644","sha":"62323316615b3b9c094bb44d7801b96e7a7d365d","size":1259},{"path":"river/metrics/expected_mutual_info.py","mode":"100644","sha":"6d8ca60fb2eb8fd853777acb888c4d937a8ccc2f","size":594},{"path":"river/metrics/fbeta.py","mode":"100644","sha":"e594042726d2fbf906c8a01aa9c1b8a966e0ce79","size":12246},{"path":"river/metrics/fowlkes_mallows.py","mode":"100644","sha":"b15fcf4c8eafd467e82ad0ae889cdc534d6db7a1","size":2642},{"path":"river/metrics/geometric_mean.py","mode":"100644","sha":"ce0bd87c66020ea57cab5bde1a75d60210d52f7e","size":1922},{"path":"river/metrics/jaccard.py","mode":"100644","sha":"04b2ef533ec80a927fb2b8cbc5bb15a8d757883c","size":4574},{"path":"river/metrics/kappa.py","mode":"100644","sha":"6de0a3b8de079a09988f68506754642375a59c15","size":1848},{"path":"river/metrics/log_loss.py","mode":"100644","sha":"e998d1a3721e0a5378009a8b1667927e2533ae71","size":997},{"path":"river/metrics/mae.py","mode":"100644","sha":"78bd4ed6295b46a3c9646d09afcc11159acc9f43","size":596},{"path":"river/metrics/mape.py","mode":"100644","sha":"46df50084ef669a9e3d2ae8dc88d675b7d7cb246","size":666},{"path":"river/metrics/mcc.py","mode":"100644","sha":"e4d5d1c4c85d72c4fd613157d27d8962f1d96a13","size":1330},{"path":"river/metrics/mse.py","mode":"100644","sha":"bda70174d81ba2e10c7ce5a013aa3a103c94307d","size":1535},{"path":"river/metrics/multioutput/__init__.py","mode":"100644","sha":"ee0d1df1aff1992827ae9c1c63eef66018a0decf","size":478},{"path":"river/metrics/multioutput/base.py","mode":"100644","sha":"0af5225c5e8a662c3cb59c419c0ea86c838521d9","size":2375},{"path":"river/metrics/multioutput/confusion.py","mode":"100644","sha":"d0e9b3f6d8df61e5392693dad3bb81b0260535dc","size":1841},{"path":"river/metrics/multioutput/exact_match.py","mode":"100644","sha":"3bfb14b91cb7c36d4f01975a76c435659edc4797","size":1281},{"path":"river/metrics/multioutput/macro.py","mode":"100644","sha":"99abbf73d38c281eef3008beb7f5784b01652102","size":1382},{"path":"river/metrics/multioutput/micro.py","mode":"100644","sha":"83b5c3946fab87f06c2b6cee2f89b7d191d8ebad","size":1095},{"path":"river/metrics/multioutput/per_output.py","mode":"100644","sha":"a2007cba47695d870507c8f7967e8c085c6a325c","size":1353},{"path":"river/metrics/multioutput/sample_average.py","mode":"100644","sha":"8a0ca7a016b2acb1dde290ddfbbfb90b79354fc8","size":1901},{"path":"river/metrics/mutual_info.py","mode":"100644","sha":"28030826781bbd942f63cfa74fe3f8952c03672f","size":12230},{"path":"river/metrics/precision.py","mode":"100644","sha":"7ae807f670c7962bdaa053c95bd818bbf44943d4","size":4932},{"path":"river/metrics/r2.py","mode":"100644","sha":"e2785ead3cb9cd8460a1374ae147faed6a924eb2","size":2145},{"path":"river/metrics/rand.py","mode":"100644","sha":"bc9b8f8b095c12a7d2ffccaa6cf38e50098b11a6","size":6132},{"path":"river/metrics/recall.py","mode":"100644","sha":"fe5eab9ec6285b8660c8b2b7ff73b6e64b69623b","size":4376},{"path":"river/metrics/report.py","mode":"100644","sha":"0b47846885e6ecc1a9f5ad70707b806160882b10","size":4669},{"path":"river/metrics/roc_auc.py","mode":"100644","sha":"92859f4d2594538eab4eef604e213d3293b0f1b3","size":3968},{"path":"river/metrics/rolling_pr_auc.py","mode":"100644","sha":"d62150316455f3a167e9ca1ed4f14b0a0cc96272","size":2860},{"path":"river/metrics/rolling_roc_auc.py","mode":"100644","sha":"6d4eeb78f377fdcd67cb95f5ea54e2eb186eae80","size":3740},{"path":"river/metrics/silhouette.py","mode":"100644","sha":"21e15d64be5e5273b6171822f685f2273ecd0f98","size":3583},{"path":"river/metrics/smape.py","mode":"100644","sha":"813bf3b1c0a56281cfd34c722767eff34e7af02f","size":814},{"path":"river/metrics/vbeta.py","mode":"100644","sha":"f28b9164f80747c1e9e4505369f6ef0e400c2e1b","size":8701},{"path":"river/misc/__init__.py","mode":"100644","sha":"1f194bf137a8eb9812fb2478fe1149c900a2ab22","size":290},{"path":"river/misc/sdft.py","mode":"100644","sha":"95300605dc5db0406c2cdf52a66dae896cf79174","size":2470},{"path":"river/misc/skyline.py","mode":"100644","sha":"1e04f1e558ad4650028663a8b449506061dcdf64","size":6135},{"path":"river/misc/zstd_classifier.py","mode":"100644","sha":"0e5e57e511aedd0985d1a8c5912cb3f8c9eb5d3b","size":6905},{"path":"river/model_selection/__init__.py","mode":"100644","sha":"f010dcf5c6330f9f8f1fd3b428505eed865ad188","size":1202},{"path":"river/model_selection/bandit.py","mode":"100644","sha":"1db7b7054d451770908eb42fcc0877db70cf9df8","size":6344},{"path":"river/model_selection/base.py","mode":"100644","sha":"77b9b8622a0c8f42e4fac2730648d5daba301764","size":3419},{"path":"river/model_selection/greedy.py","mode":"100644","sha":"fce0b87e700e32c40aaaa051e3b50fba4a295269","size":2254},{"path":"river/model_selection/sh.py","mode":"100644","sha":"539f1bccad4f12484693434df1c5f55b2e3bc2cf","size":15094},{"path":"river/multiclass/__init__.py","mode":"100644","sha":"902f3777f413fb1c0866cd168cfb9126a6441891","size":263},{"path":"river/multiclass/occ.py","mode":"100644","sha":"1a2b3af60cc06a6523aa81d76db0192993c4f525","size":5943},{"path":"river/multiclass/ovo.py","mode":"100644","sha":"59c0a46dc00739bcb9fbd0c1138fee602f52f3be","size":2829},{"path":"river/multiclass/ovr.py","mode":"100644","sha":"723812c99df8781c2c1ccc541d7e4da09766b879","size":7562},{"path":"river/multioutput/__init__.py","mode":"100644","sha":"b83ea6f67ecdc02110562de8bc767d221a45c7fd","size":537},{"path":"river/multioutput/chain.py","mode":"100644","sha":"c7df8e1407b3b0e71a4ae4a25bed45772acabc8b","size":13907},{"path":"river/multioutput/encoder.py","mode":"100644","sha":"e7d6e9420234a1ffc64c2f35652f6150899e70dc","size":2575},{"path":"river/multioutput/per_output.py","mode":"100644","sha":"08055f7b4f4b7c3536929f21ce3f92da87579b51","size":2441},{"path":"river/multioutput/per_output_classifier.py","mode":"100644","sha":"0dafd979af8f4cd7cd35ca5a67755995828612c6","size":2791},{"path":"river/naive_bayes/__init__.py","mode":"100644","sha":"3f7f82073612b6ea645bb94ed81a7c6806d0d470","size":341},{"path":"river/naive_bayes/base.py","mode":"100644","sha":"61b1b365ee7c01f743d73a48bbde69bbbd2f98a2","size":4183},{"path":"river/naive_bayes/bernoulli.py","mode":"100644","sha":"e1ebdab0b80fba77353f1e23c7c1622bf1ad2e47","size":8653},{"path":"river/naive_bayes/categorical.py","mode":"100644","sha":"2e2f357f5582b0eeacfad5a07911abdadd742403","size":6847},{"path":"river/naive_bayes/complement.py","mode":"100644","sha":"ca07fe468ef5ecc5945923a5d0f1e5eb3a7ff360","size":8292},{"path":"river/naive_bayes/gaussian.py","mode":"100644","sha":"085108d6492a8a95cd689c0966ab939c6bd868a5","size":5645},{"path":"river/naive_bayes/multinomial.py","mode":"100644","sha":"ddb4e127f21879e6148b71f0546f4d0e84ec74d6","size":8717},{"path":"river/neighbors/__init__.py","mode":"100644","sha":"8d8211d9e93d0c03d86682aece23ac775430ad9e","size":415},{"path":"river/neighbors/ann/__init__.py","mode":"100644","sha":"d73a4c76ac088a717a32f8f4a1dc8fffa9e07045","size":82},{"path":"river/neighbors/ann/nn_vertex.py","mode":"100644","sha":"d30d4ba954b1173b558332fab0cadf1e9ada6ab4","size":5557},{"path":"river/neighbors/ann/swinn.py","mode":"100644","sha":"63f59a90b2aaf5bf91bf29a43b672270a30c28af","size":20888},{"path":"river/neighbors/base.py","mode":"100644","sha":"5117696bda1a501be6f0ee1df5f491476a279cf5","size":1818},{"path":"river/neighbors/knn_classifier.py","mode":"100644","sha":"9f6891df6ea0b2aa87e9b4db8be389daecd9f6cd","size":7152},{"path":"river/neighbors/knn_regressor.py","mode":"100644","sha":"31e7068debe6596b81536a7a8dc4798d07c35b3c","size":5336},{"path":"river/neighbors/lazy.py","mode":"100644","sha":"0562249ad479f9ae572006b3cc3453f3e1a63de9","size":5955},{"path":"river/optim/__init__.py","mode":"100644","sha":"f978ce51dd96fa315233009044749b4fb3099e5f","size":871},{"path":"river/optim/ada_bound.py","mode":"100644","sha":"34ae4545fa0156f6c5a1ae14b0bba293c9f82e1b","size":2912},{"path":"river/optim/ada_delta.py","mode":"100644","sha":"ce27b1455ab73768df22f2d04e7fb2b12ebaa2d6","size":2227},{"path":"river/optim/ada_grad.py","mode":"100644","sha":"7d8fb5b8bd1563fcf3851829ddd939c58a602556","size":1647},{"path":"river/optim/ada_max.py","mode":"100644","sha":"6baed58cde3e30bd530756464ecbe56807cfe8ec","size":2215},{"path":"river/optim/adam.py","mode":"100644","sha":"24c6063f2a76f3c6fd5261c5f85a68a800556349","size":3417},{"path":"river/optim/ams_grad.py","mode":"100644","sha":"63c60256811c1707c6c71b1d5c154bbee8f30521","size":2507},{"path":"river/optim/average.py","mode":"100644","sha":"23edee660b313bf5a641a5ced1c35d4a15cf1c29","size":3174},{"path":"river/optim/base.py","mode":"100644","sha":"706e9c60278f9c4866dc0cd525e1583b9073add9","size":6106},{"path":"river/optim/ftrl.py","mode":"100644","sha":"b0743762cbacd4d6377fee3d4e8e7c0287353c64","size":2713},{"path":"river/optim/initializers.py","mode":"100644","sha":"8de464241281e7e6cbc9296ca8296e69f98f61dd","size":2208},{"path":"river/optim/losses.py","mode":"100644","sha":"7824c114a8f6555dd5e431032e0e4b3233115aa6","size":18059},{"path":"river/optim/momentum.py","mode":"100644","sha":"8d815c01b9b1578a685baf6f36b5109494b6ddea","size":1293},{"path":"river/optim/nadam.py","mode":"100644","sha":"2cca7b2987b99d4b52167f8fb42459b55a506163","size":2209},{"path":"river/optim/nesterov.py","mode":"100644","sha":"dd7d968ed44782c6b7478260b9c42cf2a4936c68","size":1872},{"path":"river/optim/newton.py","mode":"100644","sha":"cec87d1d668859deae623dc4af0e7f05c360c31d","size":4623},{"path":"river/optim/rms_prop.py","mode":"100644","sha":"100f7c6829a22f5e01ef0975ea697a4d670d544c","size":2428},{"path":"river/optim/schedulers.py","mode":"100644","sha":"4f8a7f21a2694c6f41b424f3edace2669e1f4d24","size":1934},{"path":"river/optim/sgd.py","mode":"100644","sha":"a9b1646a9c61778bd752af421754ed9a925dbb76","size":1667},{"path":"river/preprocessing/__init__.py","mode":"100644","sha":"2e1241e5a5b2047315009e1e8165d85e0590a3af","size":1397},{"path":"river/preprocessing/feature_hasher.py","mode":"100644","sha":"5fb0312b06e80788c1864f6772bacd07120be1e1","size":2577},{"path":"river/preprocessing/gap_encoder.py","mode":"100644","sha":"cc71825daa737b1790d7cdda5bac527651ee2e85","size":10679},{"path":"river/preprocessing/impute.py","mode":"100644","sha":"26132a6f12f9f1bab58434f0f4644df94fe7402d","size":7442},{"path":"river/preprocessing/lda.py","mode":"100644","sha":"2f8d508ed08e30eb799cc8cbf9ad763c78267725","size":14262},{"path":"river/preprocessing/one_hot.py","mode":"100644","sha":"6845b324a181fc14fa730c1304a59c50ca9c8f07","size":15259},{"path":"river/preprocessing/ordinal.py","mode":"100644","sha":"eea2b7d4e8ff8c27d8b20bd2122f6e74476e2317","size":9235},{"path":"river/preprocessing/pred_clipper.py","mode":"100644","sha":"24dfec8c65e58610cded74efd50fa35a8a97e9b9","size":1700},{"path":"river/preprocessing/random_projection.py","mode":"100644","sha":"edc94cb79d746b2062e6950a538fb822cbed5af2","size":5881},{"path":"river/preprocessing/scale.py","mode":"100644","sha":"b6ec572b3b4c417caf5b70f1855ca18581c5f2f5","size":28140},{"path":"river/preprocessing/scale_target.py","mode":"100644","sha":"a558d4d07e85af2755e32078fb15cfb257c33f25","size":2941},{"path":"river/proba/__init__.py","mode":"100644","sha":"23b60e8da443018c02b5c14755964ae3774b4e62","size":281},{"path":"river/proba/base.py","mode":"100644","sha":"5faa5805a2da2b4043dfc3bf71d45b375826a79c","size":3439},{"path":"river/proba/beta.py","mode":"100644","sha":"adbb7017dac809bd5afcdbc6e36b87a8c53d0e27","size":3089},{"path":"river/proba/gaussian.py","mode":"100644","sha":"1deb51abb087ff3fe2f15dc4cf74bbb0cc87c00f","size":10092},{"path":"river/proba/multinomial.py","mode":"100644","sha":"48d66bb372feefbb0d7a3cf780de41e0ceece952","size":3333},{"path":"river/py.typed","mode":"100644","sha":"e69de29bb2d1d6434b8b29ae775ad8c2e48c5391","size":0},{"path":"river/reco/__init__.py","mode":"100644","sha":"d849c8cf8b6dae907dfa9984f198fab46feeb35a","size":1275},{"path":"river/reco/base.py","mode":"100644","sha":"2d6d41ec97f4d11c48c1f5a8eb9c21ff2045417e","size":2217},{"path":"river/reco/baseline.py","mode":"100644","sha":"dc517ee1b3a650fafbe3f743aa8d066138075a64","size":4591},{"path":"river/reco/biased_mf.py","mode":"100644","sha":"dce5b52a0c87407f386f21fa799de522468c8526","size":8455},{"path":"river/reco/funk_mf.py","mode":"100644","sha":"3274c3ea905e5f06dfde35439c0897b0bbfb57d0","size":5167},{"path":"river/reco/normal.py","mode":"100644","sha":"8bab210a1634b4da51df98a055199ce649b1f821","size":1941},{"path":"river/rules/__init__.py","mode":"100644","sha":"60bbd1e7afbdd89061ce467bfb5092caad271970","size":128},{"path":"river/rules/amrules.py","mode":"100644","sha":"65626130496e24a9e4c92ea38983a1cc7afce229","size":19085},{"path":"river/rules/base.py","mode":"100644","sha":"805a3141f738779cb3209f11a5187de29f61e2f5","size":9147},{"path":"river/sketch/__init__.py","mode":"100644","sha":"29c337978d24cf4e191b1cfa80d96b78df9368ff","size":437},{"path":"river/sketch/counter.py","mode":"100644","sha":"70c6a8e51c88bcffce46502798040631e409d44f","size":6691},{"path":"river/sketch/heavy_hitters.py","mode":"100644","sha":"0d1b124a95516c5dd52fc253eee61ef1fe67a55f","size":4705},{"path":"river/sketch/histogram.py","mode":"100644","sha":"ef7deacf4041d8156d1c02d8fc997793fd94db94","size":10222},{"path":"river/sketch/n_unique.py","mode":"100644","sha":"5d153017a2b1ababbdba8dc7faea95af5d7ec408","size":3115},{"path":"river/sketch/set.py","mode":"100644","sha":"344b1f65485519ab1352b2b59ac58d80af8c494a","size":8883},{"path":"river/stats/__init__.py","mode":"100644","sha":"6826893ebf90b317bf7d28b20d4d1a7d3ca3164d","size":1420},{"path":"river/stats/auto_corr.py","mode":"100644","sha":"cc33f7e8ee721bf6291599a386bb2f0554d38350","size":1681},{"path":"river/stats/base.py","mode":"100644","sha":"181695d50f2c53ce9cff0d860f065de41823e697","size":4900},{"path":"river/stats/chi_squared.py","mode":"100644","sha":"e2c20e205718ee15f6443d7c62cd77fa4526937f","size":3153},{"path":"river/stats/count.py","mode":"100644","sha":"119f7cb01042dbe60a0685bc40bc583effba0306","size":410},{"path":"river/stats/cov.py","mode":"100644","sha":"d5808583d5a4a51f5edacd96b43e6c69fe28a92b","size":4888},{"path":"river/stats/entropy.py","mode":"100644","sha":"8ef1d7ef94677ed3a79a63ec06a8158a87214384","size":2679},{"path":"river/stats/ewcov.py","mode":"100644","sha":"5751edc456de0b08d28337b76de12b5f2df11b5c","size":2226},{"path":"river/stats/ewmean.py","mode":"100644","sha":"d070320e535f250411e452e02581654a5f4c7825","size":1688},{"path":"river/stats/ewvar.py","mode":"100644","sha":"bc1e00cc3d18e68db0d41c610dcfb85587cae941","size":1883},{"path":"river/stats/iqr.py","mode":"100644","sha":"3d33c102078c6244f18e431809b72510f6e938af","size":4642},{"path":"river/stats/kolmogorov_smirnov.py","mode":"100644","sha":"e5f7cb4f0a0045be598e5c1fc75ac570aa0da8cd","size":9359},{"path":"river/stats/kurtosis.py","mode":"100644","sha":"34b92df09a1e17b71a78c580eb4db5ab19a6efa9","size":2240},{"path":"river/stats/mad.py","mode":"100644","sha":"9c49f1e29bc227b92ce7046f555bd9824dd3283a","size":1533},{"path":"river/stats/maximum.py","mode":"100644","sha":"7799eac6579c61d8d04a441c79ccdbbd83529b18","size":3081},{"path":"river/stats/mean.py","mode":"100644","sha":"e08ec8358753c5a03c9d042ac95c3a7f64599ae1","size":4368},{"path":"river/stats/minimum.py","mode":"100644","sha":"9a6463070964faf6b98af5f490599baa0b7c6c35","size":1288},{"path":"river/stats/mode.py","mode":"100644","sha":"6d5d750ddb5c32760e9ff9820a0258974cefe5e6","size":3250},{"path":"river/stats/pearson.py","mode":"100644","sha":"ecdabdbdc97e5e5cc37265175bd337e2c328ffa8","size":2143},{"path":"river/stats/ptp.py","mode":"100644","sha":"c90d281e9891705843d3b8c34b1733e29c4b5fa0","size":2059},{"path":"river/stats/quantile.py","mode":"100644","sha":"637946aa9ac2c11bc864d1acf93d48fb766e44eb","size":5480},{"path":"river/stats/sem.py","mode":"100644","sha":"7d6e37f80531a9a170c0e16b21e9a50b531c1ce7","size":1438},{"path":"river/stats/shift.py","mode":"100644","sha":"3109ecdfe3366aef024fbf597b61191ee90b08a3","size":3471},{"path":"river/stats/skew.py","mode":"100644","sha":"d2de249a2a7b4efda96a41316dd4743f22159844","size":1648},{"path":"river/stats/summing.py","mode":"100644","sha":"969807185772918ae28e47695a95ef76fef87e6f","size":954},{"path":"river/stats/var.py","mode":"100644","sha":"568f3dc27129b9787555f9d71af0601070c4bb91","size":4066},{"path":"river/stream/__init__.py","mode":"100644","sha":"4fb8cc9142cd8b45f1db8a3743abacd824b0e434","size":1110},{"path":"river/stream/cache.py","mode":"100644","sha":"f4351a4ff140f57e8190f29069f78c276c07db81","size":6485},{"path":"river/stream/iter_arff.py","mode":"100644","sha":"9fb4f543523d4a72a4cd103d30dafd9eca6f66f9","size":6872},{"path":"river/stream/iter_array.py","mode":"100644","sha":"b5fdbcb5418f30131950c9cc774f38f79a8d1e3a","size":3307},{"path":"river/stream/iter_csv.py","mode":"100644","sha":"8efb2482bd704d1b8972736a692584bdd6a8d23a","size":7707},{"path":"river/stream/iter_frame.py","mode":"100644","sha":"154fd26a33b3dedc366ee7b9952733887e1ac94c","size":4645},{"path":"river/stream/iter_libsvm.py","mode":"100644","sha":"f4fe20ff4a1b08d56bc5ee1fa35263d0af8de75c","size":2432},{"path":"river/stream/iter_pandas.py","mode":"100644","sha":"abd7d7e47ec671be5d336e5b8b6e1e3220c8eee0","size":1924},{"path":"river/stream/iter_polars.py","mode":"100644","sha":"a6fe3adf7a4ea2e56867888b718ea342b88bf0a2","size":1955},{"path":"river/stream/iter_sklearn.py","mode":"100644","sha":"39154cd2e68488b9467206a303def4b8d343d5de","size":1753},{"path":"river/stream/iter_sql.py","mode":"100644","sha":"92c69d793bf810fd48ef20ecb7d8561012d03768","size":4178},{"path":"river/stream/iter_vaex.py","mode":"100644","sha":"9a079668e20b5bb3f3be9e6b1b024323f4ec4fb1","size":1521},{"path":"river/stream/qa.py","mode":"100644","sha":"a6a747b9b4fe1f5988a82d5b8feb2e07aa7222b6","size":7498},{"path":"river/stream/shuffling.py","mode":"100644","sha":"a84dfa62975093963b36d2a625abe6c7064cb27f","size":2288},{"path":"river/stream/tweet_stream.py","mode":"100644","sha":"365e7c4b4080438a901b487c7da6b1fffde4fe9e","size":4997},{"path":"river/stream/twitch_chat_stream.py","mode":"100644","sha":"3547737ebd4552773ddf94a009f487d356bc2649","size":4965},{"path":"river/stream/typing.py","mode":"100644","sha":"c15fb2a991998ae1f53524f6061d9ede7d3323cb","size":423},{"path":"river/stream/utils.py","mode":"100644","sha":"567b4ef6bfad30469052342e3ce49a0a5c8752e9","size":1610},{"path":"river/time_series/__init__.py","mode":"100644","sha":"3badb9d2c8a9f879ed66a88ebd930eb5338638bd","size":1202},{"path":"river/time_series/base.py","mode":"100644","sha":"bcfc3ed492c4cc96eef07afe835dc85c19fe5c12","size":1035},{"path":"river/time_series/holt_winters.py","mode":"100644","sha":"aeb5d1fcf96b0214f353057260e2e6cecdf9486d","size":7240},{"path":"river/time_series/metrics.py","mode":"100644","sha":"0d0e6647756c47977dbe657be2c234461b12639c","size":4105},{"path":"river/time_series/snarimax.py","mode":"100644","sha":"336ab2b13aeaea3b7d2b982af9304d6a50189db1","size":11982},{"path":"river/tree/__init__.py","mode":"100755","sha":"f8bf1e26c1001bdda9f3560e18f8e47fbac5ecdb","size":3177},{"path":"river/tree/base.py","mode":"100644","sha":"e939035b16a22ace731f38e22aa2b90f6acf3904","size":5906},{"path":"river/tree/extremely_fast_decision_tree.py","mode":"100755","sha":"5bd3233e2640e3556ec1fbeb7f98a0dd321f2398","size":24126},{"path":"river/tree/hoeffding_adaptive_tree_classifier.py","mode":"100644","sha":"c825fa5f382229240fea8dc700beff5afdd035b4","size":10554},{"path":"river/tree/hoeffding_adaptive_tree_regressor.py","mode":"100644","sha":"6c609cc8f4f9c214d5cf6d529aa17467fb1b2664","size":12424},{"path":"river/tree/hoeffding_tree.py","mode":"100644","sha":"98fde0da8d061e828ab1bac9097be2a96f577794","size":17972},{"path":"river/tree/hoeffding_tree_classifier.py","mode":"100755","sha":"b3dc17246177de8e2de85e9570345787b6a9f91f","size":17215},{"path":"river/tree/hoeffding_tree_regressor.py","mode":"100644","sha":"d6d5deba115c6676314a3bcbbd8e6325c83a5858","size":16357},{"path":"river/tree/isoup_tree_regressor.py","mode":"100644","sha":"6ae135c036a969e92ae0b4470dbe4cacc60551bc","size":9930},{"path":"river/tree/last_classifier.py","mode":"100644","sha":"391ba8366867bdbeca5d01c09fd94e26bbf49a0c","size":14874},{"path":"river/tree/losses.py","mode":"100644","sha":"4c885324790d37d028c4e5e81f20571dcbd76cd7","size":1431},{"path":"river/tree/mondrian/__init__.py","mode":"100644","sha":"b26365acd03aeb1c47c5b812cc12173674162883","size":539},{"path":"river/tree/mondrian/mondrian_tree.py","mode":"100644","sha":"2e4cb9fadc974935aed85ef32e42835dffbc042a","size":1715},{"path":"river/tree/mondrian/mondrian_tree_classifier.py","mode":"100644","sha":"d886a97a7290e84f3e421770db6801507f3ef495","size":9286},{"path":"river/tree/mondrian/mondrian_tree_nodes.py","mode":"100644","sha":"c6a0ed7abade94071c69d0104b28f39538bf4018","size":13703},{"path":"river/tree/mondrian/mondrian_tree_regressor.py","mode":"100644","sha":"743723d7ce61b291a577e7013190a7c183b168dc","size":7603},{"path":"river/tree/nodes/__init__.py","mode":"100644","sha":"0c0ec29e4e0dd41bce824f787f45465955c5b196","size":112},{"path":"river/tree/nodes/arf_htc_nodes.py","mode":"100644","sha":"f25eb504756fc3c8ccdc0f069f7007c00e94b814","size":3810},{"path":"river/tree/nodes/arf_htr_nodes.py","mode":"100644","sha":"d9f13829696dafc31ac43cdbb16af5655a838230","size":3001},{"path":"river/tree/nodes/branch.py","mode":"100644","sha":"488f72bcf79939ee218f58f81ea8257a5e58ca35","size":5883},{"path":"river/tree/nodes/efdtc_nodes.py","mode":"100644","sha":"5fb611f0343fc71d4290ac4a6eb6084a8edf68b8","size":10009},{"path":"river/tree/nodes/et_nodes.py","mode":"100644","sha":"cc2099270375023666666f1e4dcbc84ecad062ef","size":2162},{"path":"river/tree/nodes/hatc_nodes.py","mode":"100644","sha":"e85cbc433402142f6ee7b4c1f2573b68e4139a1c","size":12554},{"path":"river/tree/nodes/hatr_nodes.py","mode":"100644","sha":"aa496c4f4dc517c0fa2a0f755169c7992203d4ba","size":12533},{"path":"river/tree/nodes/htc_nodes.py","mode":"100644","sha":"d35549ee799e934a3f176184e5000ae64f692604","size":6675},{"path":"river/tree/nodes/htr_nodes.py","mode":"100644","sha":"248164399a186ed9a6b4e81ded31cf54f36868a4","size":6345},{"path":"river/tree/nodes/isouptr_nodes.py","mode":"100644","sha":"703e0fe003636ac49ebbee490f3edf2df13d3966","size":6379},{"path":"river/tree/nodes/last_nodes.py","mode":"100644","sha":"813d405d2c8a4e6aaa9eb19e4bc0ae9d917c8abc","size":7269},{"path":"river/tree/nodes/leaf.py","mode":"100644","sha":"dfab307504cbd64159687235321e5f2e882d5b05","size":5117},{"path":"river/tree/nodes/sgt_nodes.py","mode":"100644","sha":"f53da213558616a12b3bbc55815e87d03143db72","size":8789},{"path":"river/tree/padded.py","mode":"100644","sha":"1bada769441ea556bda914cb4fa9a0938a6c40f1","size":2366},{"path":"river/tree/split_criterion/__init__.py","mode":"100644","sha":"18b51270998b31b32fbce5ab81829fd49ea77f58","size":717},{"path":"river/tree/split_criterion/base.py","mode":"100644","sha":"84da388b4b29731fe449821b41e30477b6c1480d","size":1552},{"path":"river/tree/split_criterion/gini_split_criterion.py","mode":"100644","sha":"1a71c1b651ae496115319d32b605c7611f5ac824","size":1898},{"path":"river/tree/split_criterion/hellinger_distance_criterion.py","mode":"100644","sha":"236564f9bd631acec570c864944f8bca4ee2d65c","size":2550},{"path":"river/tree/split_criterion/info_gain_split_criterion.py","mode":"100644","sha":"b112ff829d70ae3d44b688e1791c648a2b7f06fb","size":2679},{"path":"river/tree/split_criterion/intra_cluster_variance_reduction_split_criterion.py","mode":"100644","sha":"0a1af74773bbe343d62bc2bc57baead5bec1cab9","size":1267},{"path":"river/tree/split_criterion/variance_ratio_split_criterion.py","mode":"100644","sha":"dfdff8ea5599152f96e9b0409d97c683e37e8376","size":1676},{"path":"river/tree/split_criterion/variance_reduction_split_criterion.py","mode":"100644","sha":"147ead573bbde695e7fcc0cd46eec27cab4d2849","size":1674},{"path":"river/tree/splitter/__init__.py","mode":"100644","sha":"15d966599a40dbeac04ffb7e5477523d0abc19df","size":1569},{"path":"river/tree/splitter/base.py","mode":"100644","sha":"f963fbafba7edd29cccfc5d4815cf83fe2c7a7de","size":3302},{"path":"river/tree/splitter/ebst_splitter.py","mode":"100644","sha":"9b2608a2d8e52ebdee0e0cddabeecc8eb88c19ac","size":14424},{"path":"river/tree/splitter/exhaustive_splitter.py","mode":"100644","sha":"6856147fabe339881818bac8c767aff18189abe2","size":7661},{"path":"river/tree/splitter/gaussian_splitter.py","mode":"100644","sha":"9b22c39353ae2eb558c6d00930d0ce38b506737e","size":3984},{"path":"river/tree/splitter/histogram_splitter.py","mode":"100644","sha":"cde9d490c37416069c03e51180fd49cf00b7bcd6","size":3475},{"path":"river/tree/splitter/nominal_splitter_classif.py","mode":"100644","sha":"189d04b3d5a3b73f31cbdcb1a8b3b209dfc4e682","size":3911},{"path":"river/tree/splitter/nominal_splitter_reg.py","mode":"100644","sha":"b291a9edce8d2b874a6bb8dc9feeea6702640c49","size":3244},{"path":"river/tree/splitter/qo_splitter.py","mode":"100644","sha":"b4434eb36879e1caafac577d04d80bc044cd487c","size":7955},{"path":"river/tree/splitter/random_splitter.py","mode":"100644","sha":"aa6562f975f9bb8c2257350ac15bf41c43dc1114","size":2535},{"path":"river/tree/splitter/sgt_quantizer.py","mode":"100644","sha":"586d421e1af4507f26491f47c89aaab0a394cbf5","size":5892},{"path":"river/tree/splitter/tebst_splitter.py","mode":"100644","sha":"68e2212b823d9c29922417744d04b50285a24cd7","size":1034},{"path":"river/tree/stochastic_gradient_tree.py","mode":"100644","sha":"01dfb3dccefc5e3a845a6d0bc86b9c043f276316","size":15585},{"path":"river/tree/utils.py","mode":"100644","sha":"ceecac2caa1036989aed876ddcc3365618db45f2","size":11954},{"path":"river/tree/viz.py","mode":"100644","sha":"ab1d55234a35700d9bcd73246a3437aabceb2d8e","size":2023},{"path":"river/utils/__init__.py","mode":"100644","sha":"919e0e279bd52f63535483e81814272daeb636bc","size":548},{"path":"river/utils/context_managers.py","mode":"100644","sha":"cd0f698e1fab7182a70eb45164ddded4d825a055","size":113},{"path":"river/utils/dataframe.py","mode":"100644","sha":"931f51a9650dad90d5e610cb5887615939b59c85","size":9274},{"path":"river/utils/math.py","mode":"100644","sha":"752ede7943d18cd5ddd9247c3f8d2261dc1d101e","size":9063},{"path":"river/utils/norm.py","mode":"100644","sha":"8445152fa026d190b57ba2d7475613ef6df054a4","size":2104},{"path":"river/utils/pandas.py","mode":"100644","sha":"b547540f73917b51514635ad3f3311ed4a936b60","size":555},{"path":"river/utils/param_grid.py","mode":"100644","sha":"85cbbef41dc0aef5787c30e1a24ffa3373898c05","size":5504},{"path":"river/utils/pretty.py","mode":"100644","sha":"367a8b4c3ca61f1b9e451cde706dd4b6732cd64e","size":2031},{"path":"river/utils/random.py","mode":"100644","sha":"4559aec4856d780b5986c8f264a00cba6a13027a","size":1071},{"path":"river/utils/rolling.py","mode":"100644","sha":"773f7d8b8cf4e40f16b515b8d89feba5665cf496","size":7666},{"path":"river/utils/sorted_window.py","mode":"100644","sha":"a4c3ed47a280b02ffd188af2ce4fa0c4f7af75be","size":1515},{"path":"river/utils/vectordict.py","mode":"100644","sha":"b4abd8e11dc92cf8bd66629dc18def8e12f583e9","size":384},{"path":"rust-toolchain.toml","mode":"100644","sha":"66412f840e781050306e6a3b72398532d7385f1c","size":183},{"path":"rust_src/adwin.rs","mode":"100644","sha":"fd97c9d296b55e123492011822690e626c8e80eb","size":11455},{"path":"rust_src/count.rs","mode":"100644","sha":"88b3d64dc7f5d42f651e481fe8770b1d1ea8d07a","size":1798},{"path":"rust_src/covariance.rs","mode":"100644","sha":"f118c9a8e197266821b0a7e6818e029b4121a0d8","size":2333},{"path":"rust_src/ewmean.rs","mode":"100644","sha":"8959e54def784c38ec48109854d3950d371bf173","size":2087},{"path":"rust_src/ewvariance.rs","mode":"100644","sha":"b168f9f06adf48d10b35fa5e5feb41bab86e7c55","size":2138},{"path":"rust_src/expected_mutual_info.rs","mode":"100644","sha":"24dc1f6af7163a9a838462eed9447d3f8f961202","size":3871},{"path":"rust_src/feature_hashing.rs","mode":"100644","sha":"9a2e49c1121b3cfa80daab412a80cf585d5f866d","size":3786},{"path":"rust_src/iqr.rs","mode":"100644","sha":"6ac9c327359c43847cf556aeeb8ccd532296839c","size":6373},{"path":"rust_src/iter.rs","mode":"100644","sha":"dae3106a3bec3c698a8320efa90d672a110e134f","size":11267},{"path":"rust_src/kurtosis.rs","mode":"100644","sha":"b77a5a4c3e0c4c52f8773a68bf2bfd3cfcb3a554","size":3267},{"path":"rust_src/lib.rs","mode":"100644","sha":"4d682bdc3782b41d66e69201bc30d8544602f1e2","size":560},{"path":"rust_src/maximum.rs","mode":"100644","sha":"4d91cc5a0bc62e4118646e19e883d80b4351ff65","size":3039},{"path":"rust_src/mean.rs","mode":"100644","sha":"61c9a2cf13dadb2e7534b3903fb39e908a26146b","size":2622},{"path":"rust_src/minimum.rs","mode":"100644","sha":"f09f2c3077118563672e2c9e08d83ace7881ee4d","size":2255},{"path":"rust_src/moments.rs","mode":"100644","sha":"d2f363cd0e832468221286bdc8a889e89f89ee9a","size":2556},{"path":"rust_src/mondrian.rs","mode":"100644","sha":"d10e2c95f01060ca153d1a2e55b91acb41af0afa","size":36180},{"path":"rust_src/ptp.rs","mode":"100644","sha":"9d770a28c18b033de0762096b4eea040ccbc7fcf","size":2420},{"path":"rust_src/pyo3_bindings.rs","mode":"100644","sha":"a00e2eebe9e48e3f2af5a5496a98e0ee61c548a9","size":18058},{"path":"rust_src/quantile.rs","mode":"100644","sha":"6b9ddf474e7c5b73e73072b137092d2e4a4ca91d","size":12019},{"path":"rust_src/rolling.rs","mode":"100644","sha":"469c07feca148e4196c1834032a9534ec41cb1c5","size":3792},{"path":"rust_src/rolling_pr_auc.rs","mode":"100644","sha":"c31f98f42e38f6e7638e9350142ff933c708c9d2","size":6391},{"path":"rust_src/rolling_roc_auc.rs","mode":"100644","sha":"0451886becf4ba19b05cc42b3a029db5cfbe9923","size":7055},{"path":"rust_src/skew.rs","mode":"100644","sha":"7f368915e6b695bca1b4e2ac89c460f143c6d49d","size":2976},{"path":"rust_src/sorted_window.rs","mode":"100644","sha":"d962363bc272a3989241bb3866ba8d9f5d68916a","size":2333},{"path":"rust_src/stats.rs","mode":"100644","sha":"0100d86705bc00c1d8940b20698bd6344e6d34c8","size":594},{"path":"rust_src/sum.rs","mode":"100644","sha":"f34573d9efd5b52c2030c8fab2b3baa3f05079df","size":1531},{"path":"rust_src/variance.rs","mode":"100644","sha":"905fce4bd81405a02e466ad28a15ecd9a64aabc8","size":3107},{"path":"rust_src/vectordict.rs","mode":"100644","sha":"565bbdbdc2f29e38d48659beb1839e0844ba4a8e","size":34554},{"path":"tests/__init__.py","mode":"100644","sha":"e69de29bb2d1d6434b8b29ae775ad8c2e48c5391","size":0},{"path":"tests/anomaly/__init__.py","mode":"100644","sha":"e69de29bb2d1d6434b8b29ae775ad8c2e48c5391","size":0},{"path":"tests/anomaly/test_hst.py","mode":"100644","sha":"341f6697dbede8462eb8335094c49e21835d86bd","size":838},{"path":"tests/anomaly/test_loda.py","mode":"100644","sha":"a21e9440350029505841ae277232774462a39709","size":2095},{"path":"tests/anomaly/test_lof.py","mode":"100644","sha":"2bfa13b136ee2284efa8e4c6dfcc01838b491bc1","size":4284},{"path":"tests/anomaly/test_svm.py","mode":"100644","sha":"2454cc04593f2fc8ff35094beaca21c44cbad16f","size":3809},{"path":"tests/bandit/__init__.py","mode":"100644","sha":"e69de29bb2d1d6434b8b29ae775ad8c2e48c5391","size":0},{"path":"tests/bandit/test_envs.py","mode":"100644","sha":"9be9acf97b2e3085f9ade9c38c1aa9bf340f7741","size":499},{"path":"tests/bandit/test_policies.py","mode":"100644","sha":"3acaf4bdd153de0fd936f5b1f643d822d18700f0","size":3356},{"path":"tests/base/__init__.py","mode":"100644","sha":"e69de29bb2d1d6434b8b29ae775ad8c2e48c5391","size":0},{"path":"tests/base/test_base.py","mode":"100644","sha":"82d818d4af2825fb84ab017a22c203b076a32423","size":3996},{"path":"tests/base/test_estimator_meta.py","mode":"100644","sha":"d02f11dd7ab7d1ae38319daa6d731c5e9a867dd4","size":3653},{"path":"tests/base/test_pickle_version.py","mode":"100644","sha":"b2bbfc555ef4e563ea22bf7ed66a2c4ffcd65747","size":4733},{"path":"tests/base/test_viz.py","mode":"100644","sha":"cddfbef59e2d061737b93a7fabe2b6ac7e1eb69e","size":567},{"path":"tests/checks/__init__.py","mode":"100644","sha":"e69de29bb2d1d6434b8b29ae775ad8c2e48c5391","size":0},{"path":"tests/checks/test_anomaly.py","mode":"100644","sha":"51da2eb3e82fda7a8aa75ae3d595ed86698855fe","size":875},{"path":"tests/cluster/__init__.py","mode":"100644","sha":"e69de29bb2d1d6434b8b29ae775ad8c2e48c5391","size":0},{"path":"tests/cluster/test_dbstream.py","mode":"100644","sha":"50c84a8555be0dac4b2f4ccc0f60e34258fa4867","size":9626},{"path":"tests/cluster/test_denstream.py","mode":"100644","sha":"059b30203bc72417e27eff2ebf1b7098e73c69bb","size":3346},{"path":"tests/cluster/test_k_means.py","mode":"100644","sha":"ddb8e533f0b7688f4ea557a5016ed130b96a1bf0","size":1799},{"path":"tests/compat/__init__.py","mode":"100644","sha":"e69de29bb2d1d6434b8b29ae775ad8c2e48c5391","size":0},{"path":"tests/compat/test_sklearn.py","mode":"100644","sha":"07c46a963148aeb1bf92254cc8932a27dfb37dd4","size":7875},{"path":"tests/compose/__init__.py","mode":"100644","sha":"e69de29bb2d1d6434b8b29ae775ad8c2e48c5391","size":0},{"path":"tests/compose/test_.py","mode":"100644","sha":"7adcf4796afd4dbd421d24d04b7ec2102b4b553a","size":9035},{"path":"tests/compose/test_product.py","mode":"100644","sha":"ab2c263ea6d0b53c2e0adb8176a6e9fe26daa66f","size":6995},{"path":"tests/covariance/__init__.py","mode":"100644","sha":"e69de29bb2d1d6434b8b29ae775ad8c2e48c5391","size":0},{"path":"tests/covariance/test_emp.py","mode":"100644","sha":"fd34dba7ce1893f3aa9197dc38aa821b397a3d6b","size":11488},{"path":"tests/covariance/test_ewa.py","mode":"100644","sha":"6d84114d34701c95cedf25cbcae02f611a76cc2f","size":11061},{"path":"tests/datasets/__init__.py","mode":"100644","sha":"e69de29bb2d1d6434b8b29ae775ad8c2e48c5391","size":0},{"path":"tests/datasets/test_datasets.py","mode":"100644","sha":"fd0e899778f6504d9f444908a260800c2c552ea2","size":3133},{"path":"tests/drift/__init__.py","mode":"100644","sha":"e69de29bb2d1d6434b8b29ae775ad8c2e48c5391","size":0},{"path":"tests/drift/test_adwin_regression.py","mode":"100644","sha":"0796c1d509ceae0d3d520a83536e12bcc1f06370","size":10949},{"path":"tests/drift/test_drift_detectors.py","mode":"100644","sha":"6e49cc203c870f9006eb5ec440b2cc135a8804eb","size":3652},{"path":"tests/evaluate/__init__.py","mode":"100644","sha":"e69de29bb2d1d6434b8b29ae775ad8c2e48c5391","size":0},{"path":"tests/evaluate/test_progressive_validation.py","mode":"100644","sha":"826317da0e18b3b18c5dc42f2ead0a958d601bd2","size":7137},{"path":"tests/feature_extraction/__init__.py","mode":"100644","sha":"e69de29bb2d1d6434b8b29ae775ad8c2e48c5391","size":0},{"path":"tests/feature_extraction/test_agg.py","mode":"100644","sha":"78b9fad198aadfa7e8ca8601de0938d88bf1e157","size":5351},{"path":"tests/feature_extraction/test_vectorize.py","mode":"100644","sha":"71f9cb5f6972fc7517214ec4bd03cd8366077cb6","size":11301},{"path":"tests/forest/__init__.py","mode":"100644","sha":"e69de29bb2d1d6434b8b29ae775ad8c2e48c5391","size":0},{"path":"tests/forest/test_amf.py","mode":"100644","sha":"f424bbf89633eb0b1d7851ae5f990f4d4ab6a4f3","size":382},{"path":"tests/frames.py","mode":"100644","sha":"9506ea3a4cf004f62c47cc317291de29453843de","size":2040},{"path":"tests/linear_model/__init__.py","mode":"100644","sha":"e69de29bb2d1d6434b8b29ae775ad8c2e48c5391","size":0},{"path":"tests/linear_model/test_glm.py","mode":"100644","sha":"88274fe8321965283128dae2211e0ed28a3eaeb1","size":23958},{"path":"tests/metrics/__init__.py","mode":"100644","sha":"e69de29bb2d1d6434b8b29ae775ad8c2e48c5391","size":0},{"path":"tests/metrics/multioutput/__init__.py","mode":"100644","sha":"e69de29bb2d1d6434b8b29ae775ad8c2e48c5391","size":0},{"path":"tests/metrics/multioutput/test_multioutput_metrics.py","mode":"100644","sha":"341bb4df3c4bc8fc8853027b0aaa2511a40c043d","size":4832},{"path":"tests/metrics/test_confusion.py","mode":"100644","sha":"a30f4f2102314a54103473b82f99d39363352560","size":906},{"path":"tests/metrics/test_cross_entropy.py","mode":"100644","sha":"5f052dc5c2539b816f7f24b32f270486dcf83f26","size":864},{"path":"tests/metrics/test_expected_mutual_info.py","mode":"100644","sha":"af12736c7d6cd03464ec98022af29e50995d5652","size":4598},{"path":"tests/metrics/test_fbeta.py","mode":"100644","sha":"df7f3b17115fca33f2f8427567294b62cab9724b","size":1898},{"path":"tests/metrics/test_log_loss.py","mode":"100644","sha":"3b6aad3f8d622eaa5ba3cda390ed95d5dc887e3d","size":583},{"path":"tests/metrics/test_metrics.py","mode":"100644","sha":"bb4fe45c202268c7bbbc45a457a6c45bb4e17453","size":13453},{"path":"tests/metrics/test_r2.py","mode":"100644","sha":"9a6aa13a2b27adac8d458f55bd59b8ce2916d4be","size":2153},{"path":"tests/misc/__init__.py","mode":"100644","sha":"e69de29bb2d1d6434b8b29ae775ad8c2e48c5391","size":0},{"path":"tests/misc/test_zstd_classifier.py","mode":"100644","sha":"99225b3733b02039bddd7ab7b2f949a8f9229357","size":3252},{"path":"tests/model_selection/__init__.py","mode":"100644","sha":"e69de29bb2d1d6434b8b29ae775ad8c2e48c5391","size":0},{"path":"tests/model_selection/test_bandit.py","mode":"100644","sha":"7c6e6ed3e19393629420d3a32920931f36b40196","size":3378},{"path":"tests/multiclass/__init__.py","mode":"100644","sha":"e69de29bb2d1d6434b8b29ae775ad8c2e48c5391","size":0},{"path":"tests/multiclass/test_ovr.py","mode":"100644","sha":"8e9f3c4ced3dccfe13a1cc286fe052478b35de32","size":4461},{"path":"tests/naive_bayes/__init__.py","mode":"100644","sha":"e69de29bb2d1d6434b8b29ae775ad8c2e48c5391","size":0},{"path":"tests/naive_bayes/test_gaussian.py","mode":"100644","sha":"9725388f5dbde2d1f2f709cda7372ce9b2e83254","size":2029},{"path":"tests/naive_bayes/test_naive_bayes.py","mode":"100644","sha":"ec6cf19900260ce0de7407eef78cd7cf9442f33d","size":18504},{"path":"tests/neighbors/__init__.py","mode":"100644","sha":"e69de29bb2d1d6434b8b29ae775ad8c2e48c5391","size":0},{"path":"tests/neighbors/test_lazy.py","mode":"100644","sha":"6f5359ce6566627d86cd0178ba8700fe7d61cf73","size":2744},{"path":"tests/optim/__init__.py","mode":"100644","sha":"e69de29bb2d1d6434b8b29ae775ad8c2e48c5391","size":0},{"path":"tests/optim/test_.py","mode":"100644","sha":"e77d205439caf3b2b5790753478601e8874f0b08","size":6317},{"path":"tests/optim/test_estimator_compat.py","mode":"100644","sha":"1888f2d451cb438b9a53c6f6e0cea1cb50ed7c1c","size":5688},{"path":"tests/preprocessing/__init__.py","mode":"100644","sha":"e69de29bb2d1d6434b8b29ae775ad8c2e48c5391","size":0},{"path":"tests/preprocessing/test_gap_encoder.py","mode":"100644","sha":"681dd7d3f6a0075ff6eaf1959e26d3e65fe2c43d","size":5830},{"path":"tests/preprocessing/test_impute.py","mode":"100644","sha":"32b44227240c43f4534ecdd16ac0b6b6ddc152d3","size":430},{"path":"tests/preprocessing/test_lda.py","mode":"100644","sha":"742531ba98ec411d069e96775f647d9f4e07ebc4","size":7839},{"path":"tests/preprocessing/test_one_hot.py","mode":"100644","sha":"6a5971832a4ab300d5ccafe289430b0300dca0b1","size":10165},{"path":"tests/preprocessing/test_ordinal.py","mode":"100644","sha":"de566c0b765ab791541bc5056768e6987ce3c9f9","size":8738},{"path":"tests/preprocessing/test_random_projection.py","mode":"100644","sha":"2e6319cc6f09019e49b76599706ef3430abbbe9c","size":1529},{"path":"tests/preprocessing/test_scale.py","mode":"100644","sha":"57ac296c75bc6d38b32a44ea5ba85941d4279ec4","size":31339},{"path":"tests/proba/__init__.py","mode":"100644","sha":"e69de29bb2d1d6434b8b29ae775ad8c2e48c5391","size":0},{"path":"tests/proba/test_gaussian.py","mode":"100644","sha":"92a1639fe7fab38fe5644cea13ed9b3fe1f80b27","size":762},{"path":"tests/stats/__init__.py","mode":"100644","sha":"e69de29bb2d1d6434b8b29ae775ad8c2e48c5391","size":0},{"path":"tests/stats/test_chi_squared.py","mode":"100644","sha":"498297d5424073dc6c408a416a6d0c66ea45ddc7","size":4344},{"path":"tests/stats/test_kolmogorov_smirnov.py","mode":"100644","sha":"c153cf16d4f0cfd55ff1ba5e1d12fe3cc6a78c0c","size":1450},{"path":"tests/stats/test_parallel.py","mode":"100644","sha":"7a09d05b93b7f51a81bd78f1efb9e9a264944fc7","size":5043},{"path":"tests/stats/test_quantile.py","mode":"100644","sha":"c0434900305b102384ae236003cd88ecb59c9a4e","size":1175},{"path":"tests/stats/test_stats.py","mode":"100644","sha":"59604e612a42108fb0387fccd0e317b04c9fd871","size":11630},{"path":"tests/stats/test_var.py","mode":"100644","sha":"e1d90053ff1e65a7f01aca8eeff1ecbd895f0265","size":1121},{"path":"tests/stream/__init__.py","mode":"100644","sha":"e69de29bb2d1d6434b8b29ae775ad8c2e48c5391","size":0},{"path":"tests/stream/conftest.py","mode":"100644","sha":"7987f7001799f6ddea89ce6d9991b5d325c0d9c8","size":2644},{"path":"tests/stream/pokedb.zip","mode":"100644","sha":"6f1b72f0cd4eff86c4359a160c6ea1b1e09ef3d2","size":4693},{"path":"tests/stream/test_cache.py","mode":"100644","sha":"ec5e77440d24e793397ad3de5d57ce06190bfc85","size":9078},{"path":"tests/stream/test_iter_arff.py","mode":"100644","sha":"5a5959a8fcc29a3816b415e39427b19a5382a9a8","size":3007},{"path":"tests/stream/test_iter_csv.py","mode":"100644","sha":"3c181b99552e497be89b9a1b03fd8272d9c7e0be","size":6160},{"path":"tests/stream/test_iter_frame.py","mode":"100644","sha":"7ed001172353d99ef25a641427be57d4a0677338","size":5117},{"path":"tests/stream/test_iter_libsvm.py","mode":"100644","sha":"2485f1577706a0c17a381603a3317c6283158c2a","size":2602},{"path":"tests/stream/test_iter_sql.py","mode":"100644","sha":"e14e48dfb335fc28df00639fe444d05d6236e6fa","size":10811},{"path":"tests/stream/test_utils.py","mode":"100644","sha":"068a4362d5b1dcff2d1939ad8f588710efa72d15","size":2146},{"path":"tests/test_docs.py","mode":"100644","sha":"684fff153682432330886987cca7170e6bb9b1f3","size":5624},{"path":"tests/test_estimators.py","mode":"100644","sha":"cc04748f9c619f20276a90aa397771f2ca726aaf","size":3673},{"path":"tests/test_rust_stubs.py","mode":"100644","sha":"f626bce3dbdc7fb1940f1d98c8cb18f766b76e9b","size":2862},{"path":"tests/time_series/__init__.py","mode":"100644","sha":"e69de29bb2d1d6434b8b29ae775ad8c2e48c5391","size":0},{"path":"tests/time_series/test_evaluate.py","mode":"100644","sha":"8a0170edf772c8ace2fe9f1139665f9310c67742","size":1548},{"path":"tests/time_series/test_holt_winters.py","mode":"100644","sha":"41bbc384f387cb5ec9e8eda6c36c181c9cf9b0b5","size":14993},{"path":"tests/time_series/test_snarimax.py","mode":"100644","sha":"ba8f2e49d148a628bcdcac47f7106b8e55c6f8ad","size":8899},{"path":"tests/tree/__init__.py","mode":"100644","sha":"e69de29bb2d1d6434b8b29ae775ad8c2e48c5391","size":0},{"path":"tests/tree/test_base.py","mode":"100644","sha":"bcff3b243e4953b40ad0bf109c1a9af0df69d057","size":2821},{"path":"tests/tree/test_splitter.py","mode":"100644","sha":"65d3d4e38c6adf2aa502f1d734bc2f6ba2a84761","size":1820},{"path":"tests/tree/test_stats_dict.py","mode":"100644","sha":"73aa176c950d0ad1f3c8303c91c996c1dd93718b","size":1426},{"path":"tests/tree/test_trees.py","mode":"100644","sha":"1a63183a8048345defcbf3206f2371b084a6b026","size":4205},{"path":"tests/utils/__init__.py","mode":"100644","sha":"e69de29bb2d1d6434b8b29ae775ad8c2e48c5391","size":0},{"path":"tests/utils/test_dataframe.py","mode":"100644","sha":"96fe9f625bcbf47e2f79e7ef099aebdaef18a97b","size":3134},{"path":"tests/utils/test_math.py","mode":"100644","sha":"779525e05c49d9547e4b852312269a28ca1ed988","size":3447},{"path":"tests/utils/test_native_submodules.py","mode":"100644","sha":"aaea87fe90472a55973c79933602eb5c1bf6395a","size":316},{"path":"tests/utils/test_pandas.py","mode":"100644","sha":"4570e07c8eaa380c00a125cb74a6d8f05e5453f9","size":2667},{"path":"tests/utils/test_param_grid.py","mode":"100644","sha":"bd5522279696b79c6fd4dc4b4ff993f241fe15c0","size":2198},{"path":"tests/utils/test_rolling.py","mode":"100644","sha":"832eb174b17152b0cedee6394b9e68e98888c8a6","size":2007},{"path":"tests/utils/test_vectordict.py","mode":"100644","sha":"667b3584db1a8af613b7262f363b5258a046b5f9","size":6008},{"path":"uv.lock","mode":"100644","sha":"f35e2c884befbf23db395b5cc3154f5a5f6de150","size":656300}]}