spock.featureclassifier #

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FeatureClassifier Objects #

class FeatureClassifier()

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predict_stable #

 | predict_stable(sim, n_jobs=-1)

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Predict whether passed simulation will be stable over 10^9 orbits of the innermost planet.

Arguments:

• sim rebound.Simulation - Orbital configuration to test
• n_jobs int - Number of cores to use for calculation (only if passing more than one simulation). Default: Use all available cores.

Returns:

• float - Estimated probability of stability. Will return exactly zero if configuration goes unstable within first 10^4 orbits.

generate_features #

 | generate_features(sim, n_jobs=-1)

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Generates the set of summary features used by the feature classifier for prediction.

Arguments:

• sim rebound.Simulation - Orbital configuration to test
• n_jobs int - Number of cores to use for calculation (only if passing more than one simulation). Default: Use all available cores.

Returns:

List of OrderedDicts: A list of sets of features for each adjacent trio of planets in system. Each set of features is an ordered dictionary of 10 summary features. See paper.

• stable int - An integer for whether the N-body integration survived the 10^4 orbits (1) or went unstable (0).