API Overview

Data

• data.data_loader: Data Loader.
• data.preprocessing.base_scaler: Base Scaler.
• data.preprocessing.sklearn_scaler: Sklearn Scaling Function Wrapper.

Change Detection

• change_detection.base_change_detector: Base Change Detector.
• change_detection.evaluation.change_detection_evaluator: Change Detection Evaluator.
• change_detection.evaluation.measures.detected_change_rate: Detected Change Rate Measure.
• change_detection.evaluation.measures.detection_delay: Detection Delay Measure.
• change_detection.evaluation.measures.false_discovery_rate: False Discovery Rate Measure.
• change_detection.evaluation.measures.mean_time_ratio: Mean Time Ratio Measure.
• change_detection.evaluation.measures.missed_detection_rate: Missed Detection Rate Measure.
• change_detection.evaluation.measures.time_between_false_alarms: Time Between False Alarms Measure.
• change_detection.erics: ERICS Change Detection Method.
• change_detection.river.river_change_detector: River Change Detection Model Wrapper.
• change_detection.skmultiflow.skmultiflow_change_detector: Scikit-Multiflow Change Detection Model Wrapper.
• change_detection.tornado.adwin: Adaptive Windowing Drift Detection Method.
• change_detection.tornado.cusum: Cumulative Sum Drift Detection Method.
• change_detection.tornado.ddm: Drift Detection Method.
• change_detection.tornado.eddm: Early Drift Detection Method.
• change_detection.tornado.ewma: Exponentially Weigthed Moving Average Drift Detection Method.
• change_detection.tornado.fhddm: Fast Hoeffding Drift Detection Method.
• change_detection.tornado.fhddms: Stacking Fast Hoeffding Drift Detection Method.
• change_detection.tornado.fhddms_add: Additive Stacking Fast Hoeffding Drift Detection Method.
• change_detection.tornado.hddm_a: Hoeffding's Bound based Drift Detection Method (A_test Scheme).
• change_detection.tornado.hddm_w: Hoeffding's Bound based Drift Detection Method (W_test Scheme).
• change_detection.tornado.mddm_a: McDiarmid Drift Detection Method (Arithmetic Scheme).
• change_detection.tornado.mddm_e: McDiarmid Drift Detection Method (Euler Scheme).
• change_detection.tornado.mddm_g: McDiarmid Drift Detection Method (Geometric Scheme).
• change_detection.tornado.page_hinkley: Page Hinkley Drift Detection Method.
• change_detection.tornado.rddm: Reactive Drift Detection Method.
• change_detection.tornado.seqdrift2: SeqDrift2 Drift Detection Method.

Online Feature Selection

• feature_selection.base_feature_selector: Base Online Feature Selector.
• feature_selection.evaluation.feature_selection_evaluator: Online Feature Selection Evaluator.
• feature_selection.evaluation.measures.nogueira_stability: Nogueira Feature Set Stability Measure.
• feature_selection.efs: Extremal Feature Selection Method.
• feature_selection.fires: FIRES Feature Selection Method.
• feature_selection.fsds: Fast Feature Selection on Data Streams Method.
• feature_selection.ofs: Online Feature Selection Method.
• feature_selection.river.river_feature_selector: River Feature Selection Model Wrapper.

Prediction

• prediction.base_predictor: Base Online Predictor.
• prediction.evaluation.prediction_evaluator: Predictive Model Evaluator.
• prediction.evaluation.measures.mean_drift_performance_deterioration: Drift Performance Deterioration Measure.
• prediction.evaluation.measures.mean_drift_restoration_time: Drift Restoration Time Measure.
• prediction.evaluation.measures.noise_variability: Noise Variability Measure.
• prediction.evaluation.measures.river_metric: River Metric Wrapper.
• prediction.river.river_classifier: River Predictive Model Wrapper.
• prediction.skmultiflow.skmultiflow_classifier: Scikit-Multiflow Predictive Model Wrapper.
• prediction.dynamic_model_tree: Dynamic Model Tree Online Learning Method.

Pipeline

• pipeline.base_pipeline: Base Pipeline.
• pipeline.distributed_fold_pipeline: Distributed Fold Pipeline.
• pipeline.holdout_pipeline: Periodic Holdout Pipeline.
• pipeline.prequential_pipeline: Prequential Pipeline.
• pipeline.utils_pipeline: Pipeline Utils.

Visualization

• visualization.bar: Standard Bar Plot.
• visualization.change_detection_scatter: Change Detection Scatter Plot.
• visualization.feature_selection_bar: Feature Selection Bar Plot.
• visualization.feature_selection_scatter: Feature Selection Scatter Plot.
• visualization.feature_weight_box: Feature Weight Box Plot.
• visualization.plot: Standard Line Plot.
• visualization.scatter: Standard Scatter Plot.
• visualization.spider_chart: Spider Plot.

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