Orion
Orion([pipeline, hyperparameters])
Orion Class.
Orion.fit(data, **kwargs)
Orion.fit
Fit the pipeline to the given data.
Orion.detect(data[, visualization])
Orion.detect
Detect anomalies in the given data..
Orion.evaluate(data, ground_truth[, fit, …])
Orion.evaluate
Evaluate the performance against ground truth anomalies.
Orion.save(path)
Orion.save
Save this object using pickle.
Orion.load(path)
Orion.load
Load an Orion instance from a pickle file.
fit_pipeline(data[, pipeline, …])
fit_pipeline
Fit an Orion pipeline to the data.
detect_anomalies([data, pipeline, …])
detect_anomalies
Detect anomalies on timeseries data.
evaluate_pipeline(data, truth, pipeline[, …])
evaluate_pipeline
Evaluate the performance of a pipeline.
benchmark.benchmark([pipelines, datasets, …])
benchmark.benchmark
Run pipelines on the given datasets and evaluate the performance.