.TH "mlpack::regression" 3 "Tue Sep 9 2014" "Version 1.0.10" "MLPACK" \" -*- nroff -*-
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.SH NAME
mlpack::regression \- 
.PP
Regression methods\&.  

.SH SYNOPSIS
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.PP
.SS "Classes"

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.RI "class \fBLARS\fP"
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.RI "\fIAn implementation of \fBLARS\fP, a stage-wise homotopy-based algorithm for l1-regularized linear regression (LASSO) and l1+l2 regularized linear regression (Elastic Net)\&. \fP"
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.RI "class \fBLinearRegression\fP"
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.RI "\fIA simple linear regression algorithm using ordinary least squares\&. \fP"
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.RI "class \fBLogisticRegression\fP"
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.RI "class \fBLogisticRegressionFunction\fP"
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.RI "\fIThe log-likelihood function for the logistic regression objective function\&. \fP"
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.SH "Detailed Description"
.PP 
Regression methods\&. 


.SH "Author"
.PP 
Generated automatically by Doxygen for MLPACK from the source code\&.