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replace deprecated abstractproperty with property stacked on abstract… dev #133: Commit 5eed38d pushed by MaxHalford
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naive_bayes/base.py (_many) methods to narwhals (#1931) dev #132: Commit 4def49e pushed by MaxHalford
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perf(tree,cluster): give high-volume helper objects __slots__ (#1934) dev #131: Commit 6ec4de7 pushed by MaxHalford
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feat(multiclass): make OneVsRestClassifier mini-batching dataframe-ag… dev #130: Commit 3e090ac pushed by MaxHalford
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feat(anomaly): make OneClassSVM.learn_many dataframe-agnostic via nar… dev #129: Commit 5cc1c46 pushed by MaxHalford
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feat(preprocessing): Make OneHotEncoder mini-batching dataframe-agn… dev #128: Commit 2c0eefa pushed by MaxHalford
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feat(neural_net): remove deprecated neural_net module (#1928) dev #127: Commit 713f427 pushed by MaxHalford
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ci: deny Rust warnings, run pyodide build only on demand (#1927) dev #126: Commit b2717e9 pushed by MaxHalford
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Fix TFIDF mini-batch transforms for DataFrame input (#1904) dev #125: Commit 0cf6cfb pushed by MaxHalford
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build(wheels): ship abi3 fallback wheels alongside native ones (#1925) dev #124: Commit d34f4fe pushed by MaxHalford
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revert(feature_extraction): drop TFIDF mini-batch changes merged via … dev #123: Commit 9785642 pushed by MaxHalford
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fix(compose): route extra learn_one/predict args to the steps that ac… dev #122: Commit 5b354c3 pushed by MaxHalford
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Implementation of LODA (Lightweight On-line Detection of Anomalies) (… dev #121: Commit 16421f8 pushed by MaxHalford
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perf(sketch): speed up Histogram.update ~2x and fix __add__ correctne… dev #120: Commit 3980aa4 pushed by MaxHalford
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feat(preprocessing): Make OrdinalEncoder mini-batching dataframe-ag… dev #119: Commit 1e2937e pushed by MaxHalford
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Fix optimizers that break on array-backed/cloned estimators; add full… dev #118: Commit 6c6b493 pushed by MaxHalford
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Vectorize factorization-machine latent updates and add them to estima… dev #117: Commit 06f47dc pushed by MaxHalford
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Add learn_many to BayesianLinearRegression (#1916) dev #116: Commit 20fbb3b pushed by MaxHalford
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fix(base): make transformer base classes properly abstract (#1918) dev #115: Commit abe050d pushed by MaxHalford
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Give TransformerUnion its own labeled block in HTML repr (#1905) dev #114: Commit 3e8ef71 pushed by MaxHalford
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feat: add weighted sample support to MultivariateGaussian and Empiric… dev #113: Commit 0e54ad6 pushed by MaxHalford
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Added mini-batch support to GaussianNB (#1906) dev #112: Commit f40f2bf pushed by MaxHalford
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feat(linear_model): dataframe-agnostic mini-batching via narwhals (#1… dev #111: Commit 48627a1 pushed by MaxHalford
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Speed up the linear models and FeatureHasher (#1913) dev #110: Commit 5e68eec pushed by MaxHalford
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Add PerOutputClassifier (#1408) (#1911) dev #109: Commit 5df20a0 pushed by MaxHalford
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