orion

Orion

Orion([pipeline, hyperparameters])

Orion Class.

Orion.fit(data, **kwargs)

Fit the pipeline to the given data.

Orion.detect(data[, visualization])

Detect anomalies in the given data..

Orion.evaluate(data, ground_truth[, fit, …])

Evaluate the performance against ground truth anomalies.

Orion.save(path)

Save this object using pickle.

Orion.load(path)

Load an Orion instance from a pickle file.

Functional API

fit_pipeline(data[, pipeline, …])

Fit an Orion pipeline to the data.

detect_anomalies([data, pipeline, …])

Detect anomalies on timeseries data.

evaluate_pipeline(data, truth, pipeline[, …])

Evaluate the performance of a pipeline.

Benchmark

benchmark.benchmark([pipelines, datasets, …])

Run pipelines on the given datasets and evaluate the performance.