computeEmissionProbs


Function to compute the emission probablilities of an HMM, based on the first-level random forest classifier.


 ~kwd1 

 ~kwd2 

Contains functions for training and applying two-level random forest and hidden Markov models for human behavior classification from raw tri-axial accelerometer and/or GPS data. Includes functions for training a two-level model, applying the model to data, and computing performance.

computeEmissionProbs: Compute emission probabilities

Description

Usage

Arguments

See Also