.\" Text automatically generated by txt2man
.TH mlpack_hmm_loglik 1 "12 December 2020" "mlpack-3.4.2" "User Commands"
.SH NAME
\fBmlpack_hmm_loglik \fP- hidden markov model (hmm) sequence log-likelihood
.SH SYNOPSIS
.nf
.fam C
 \fBmlpack_hmm_loglik\fP \fB-i\fP \fIstring\fP \fB-m\fP \fIunknown\fP [\fB-V\fP \fIbool\fP] [\fB--log_likelihood\fP \fIdouble\fP] [\fB-h\fP \fB-v\fP] 
.fam T
.fi
.fam T
.fi
.SH DESCRIPTION


This utility takes an already-trained HMM, specified with the
\(cq\fB--input_model_file\fP (\fB-m\fP)' parameter, and evaluates the log-likelihood of a
sequence of observations, given with the '\fB--input_file\fP (\fB-i\fP)' parameter. The
computed log-likelihood is given as output.
.PP
For example, to compute the log-likelihood of the sequence 'seq.csv' with the
pre-trained HMM 'hmm.bin', the following command may be used: 
.PP
$ \fBmlpack_hmm_loglik\fP \fB--input_file\fP seq.csv \fB--input_model_file\fP hmm.bin
.RE
.PP

.SH REQUIRED INPUT OPTIONS 

.TP
.B
\fB--input_file\fP (\fB-i\fP) [\fIstring\fP]
File containing observations, 
.TP
.B
\fB--input_model_file\fP (\fB-m\fP) [\fIunknown\fP]
File containing HMM.  
.SH OPTIONAL INPUT OPTIONS 

.TP
.B
\fB--help\fP (\fB-h\fP) [\fIbool\fP]
Default help info. 
.TP
.B
\fB--info\fP [\fIstring\fP]
Print help on a specific option. Default value ''. 
.TP
.B
\fB--verbose\fP (\fB-v\fP) [\fIbool\fP]
Display informational messages and the full list of parameters and timers at the end of execution. 
.TP
.B
\fB--version\fP (\fB-V\fP) [\fIbool\fP]
Display the version of mlpack.  
.SH OPTIONAL OUTPUT OPTIONS 

.TP
.B
\fB--log_likelihood\fP [\fIdouble\fP]
Log-likelihood of the sequence. Default value 0.
.SH ADDITIONAL INFORMATION

For further information, including relevant papers, citations, and theory,
consult the documentation found at http://www.mlpack.org or included with your
distribution of mlpack.