mlpack_linear_regression - Online in the Cloud

PROGRAM:

NAME

mlpack_linear_regression - simple linear regression and prediction

SYNOPSIS

mlpack_linear_regression [-h] [-v] [-m string] [-l double] [-M string] [-p string] [-T string] [-t string] [-r string] -V

DESCRIPTION

An implementation of simple linear regression and simple ridge regression using ordinary
least squares. This solves the problem

y = X * b + e

where X (--input_file) and y (the last column of --input_file, or --input_responses) are
known and b is the desired variable. If the covariance matrix (X'X) is not invertible, or
if the solution is overdetermined, then specify a Tikhonov regularization constant
(--lambda) greater than 0, which will regularize the covariance matrix to make it
invertible. The calculated b is saved to disk (--output_file).

Optionally, the calculated value of b is used to predict the responses for another matrix
X' (--test_file):

y' = X' * b

and these predicted responses, y', are saved to a file (--output_predictions). This type
of regression is related to least-angle regression, which mlpack implements with the
'lars' executable.

OPTIONS

--help (-h)
Default help info.

--info [string]
Get help on a specific module or option. Default value ''. --input_model_file
(-m) [string] File containing existing model (parameters). Default value ''.

--lambda (-l) [double]
Tikhonov regularization for ridge regression. If 0, the method reduces to linear
regression. Default value 0. --output_model_file (-M) [string] File to save
trained model to. Default value ’'. --output_predictions (-p) [string] If
--test_file is specified, this file is where the predicted responses will be saved.
Default value 'predictions.csv'.

--test_file (-T) [string]
File containing X' (test regressors). Default value ''. --training_file (-t)
[string] File containing training set X (regressors). Default value ''.
--training_responses (-r) [string] Optional file containing y (responses). If not
given, the responses are assumed to be the last row of the input file. Default
value ''.

--verbose (-v)
Display informational messages and the full list of parameters and timers at the
end of execution.

--version (-V)
Display the version of mlpack.

ADDITIONAL INFORMATION

ADDITIONAL INFORMATION

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

mlpack_linear_regression(1)

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