R: Train MRF model

train.mrf {CRF}

R Documentation

Train MRF model

Train the MRF model to estimate the parameters

train.mrf(
  crf,
  instances,
  nll = mrf.nll,
  infer.method = infer.chain,
  ...,
  trace = 0
)

`crf`	The CRF
`instances`	The training data matrix of CRF model
`nll`	The function to calculate negative log likelihood
`infer.method`	The inference method used to compute the likelihood
`...`	Extra parameters need by the inference method
`trace`	Non-negative integer to control the tracing informtion of the optimization process

This function trains the Markov Random Fields (MRF) model, which is a simple variant of CRF model.

In the training data matrix instances, each row is an instance and each column corresponds a node in CRF.

This function will directly modify the CRF and return the same CRF.