https://spock-instability.readthedocs.io/en/latest/docs/ Recent content in Docs on spock Hugo -- gohugo.io en-us https://spock-instability.readthedocs.io/en/latest/docs/getting-started/ Mon, 01 Jan 0001 00:00:00 +0000 https://spock-instability.readthedocs.io/en/latest/docs/getting-started/ Getting Started # Installation # SPOCK is compatible with both Linux and Mac. Install with: pip install spock SPOCK relies on XGBoost, which has installation issues with OpenMP on Mac OSX. If you have problems (https://github.com/dmlc/xgboost/issues/4477), the easiest way is probably to install homebrew, and then: brew install libomp pip install spock Quickstart # Let’s predict the probability that a given 3-planet system is stable past 1 billion orbits with the XGBoost-based classifier, and then compute its median expected instability time with the deep regressor: https://spock-instability.readthedocs.io/en/latest/docs/deep-regressor-api/ Mon, 01 Jan 0001 00:00:00 +0000 https://spock-instability.readthedocs.io/en/latest/docs/deep-regressor-api/ https://spock-instability.readthedocs.io/en/latest/docs/feature-classifier-api/ Mon, 01 Jan 0001 00:00:00 +0000 https://spock-instability.readthedocs.io/en/latest/docs/feature-classifier-api/ spock.featureclassifier # [view_source] FeatureClassifier Objects # class FeatureClassifier() [view_source] predict_stable # | predict_stable(sim, n_jobs=-1) [view_source] 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. https://spock-instability.readthedocs.io/en/latest/docs/nbody-regressor-api/ Mon, 01 Jan 0001 00:00:00 +0000 https://spock-instability.readthedocs.io/en/latest/docs/nbody-regressor-api/ spock.nbodyregressor # [view_source] NbodyRegressor Objects # class NbodyRegressor() [view_source] predict_instability_time # | predict_instability_time(sim, tmax=None, archive_filename=None, archive_interval=None, n_jobs=-1, match_training=False) [view_source] Predict instability time through N-body integration. Arguments: sim rebound.Simulation, or list - Orbital configuration(s) to test tmax float - Maximum time to integrate for (in Simulation time units). If passing a list of sims, need to pass a list of tmax of equal length. Defaults to 1e9 innermost planet orbits.