RandomIntervalSpectralEnsemble

Random Interval Spectral Ensemble (RISE).

Schnellstart

from sktime.classification.interval_based import RandomIntervalSpectralEnsemble

estimator = RandomIntervalSpectralEnsemble(n_estimators=500, max_interval=0, min_interval=16, acf_lag=100, acf_min_values=4, n_jobs=1, random_state=None)

Parameter(6)

n_estimatorsint, default=200

The number of trees in the forest.

min_intervalint, default=16

The minimum width of an interval.

acf_lagint, default=100

The maximum number of autocorrelation terms to use.

acf_min_valuesint, default=4

Never use fewer than this number of terms to find a correlation.

n_jobsint, default=1

The number of jobs to run in parallel for both fit and predict. -1 means using all processors.

random_stateint, RandomState instance or None, default=None

If int, random_state is the seed used by the random number generator; If RandomState instance, random_state is the random number generator; If None, the random number generator is the RandomState instance used by np.random.

Referenzen

1. [1 ] Jason Lines, Sarah Taylor and Anthony Bagnall, “Time Series Classification with HIVE-COTE: The Hierarchical Vote Collective of Transformation-Based Ensembles”, ACM Transactions on Knowledge and Data Engineering, 12(5): 2018