Repository Issue Activity (beta)

#1605 qrandint/qlograndint's documented inclusive upper bound is never sampled

#1602 Preserve zero-valued anonymous tuning metrics

#1200 Support of SMOTE with cross-validation

#884 indentation space

#1598 Honor unit quantization for float sampling

#1600 Compute trial averages from per-metric report counts

#1175 leaking data in 4. Forecasting Discrete Values in automl_time_series_forecast

#1173 error in example for multivariate-time-series-forecasting-with-exogenous-variables

#1564 [Proposal]: Replace home-rolled categorical encoding with sklearn OrdinalEncoder in DataTransformer (follow-up to #1101 / #1561)

#1563 [Bug]: MLflow-autolog'd FLAML model reloads as unfitted Pipeline via mlflow.sklearn.load_model

#737 Make zero-shot automl more discoverable

#1570 Time-series forecasting audit: inference-path gaps and example-correctness defects (follow-up to #1229, #1225, #1161, #1172–#1175)

#1480 [Bug]: AutoML time series: XGBoost prediction fails with “feature names should match” (date column)

#258 Feature Selection by FLAML?

#413 support anomaly detection

#1101 Handling categorical variables on new data

#1136 Prediction problem for component models while using ensembling

#903 Conditional parameter flow2 crash

#1555 [Bug]: LRL1Classifier and LRL2Classifier hit sklearn 1.8 FutureWarnings (penalty, n_jobs) — will hard-break at sklearn 1.10

#887 'AutoMLState' has no attribute 'sample_weight_all' when split_type='time'

#1553 [Bug]: holdout + sample_weight + time/group split raises ValueError due to missing elif in prepare_data branching

#1540 Reproducibility audit: remaining estimators (follow-up to #1364, #1369, #1374, #1376)

#1511 [Bug]: Regression ensemble fails with scikit-learn 1.7.2: ValueError: The estimator ExtraTreesEstimator should be a regressor

#1506 [Feature Request]: Auto-Create Timestamps for Time Series Prediction

#1517 Could flaml be used for the optimization of quantile regression by lightGBM?