mlpack_preprocess_split

NAME

mlpack_preprocess_split - split data

SYNOPSIS

mlpack_preprocess_split [-h] [-v]

DESCRIPTION

This utility takes a dataset and optionally labels and splits them into a training set and a test set. Before the split, the points in the dataset are randomly reordered. The percentage of the dataset to be used as the test set can be specified with the --test_ratio (-r) option; the default is 0.2 (20 ).

The program does not modify the original file, but instead makes separate files to save the training and test files; The program requires you to specify the file names with --training_file (-t) and --test_file (-T).

Optionally, labels can be also be split along with the data by specifying the --input_labels_file (-I) option. Splitting labels works the same way as splitting the data. The output training and test labels will be saved to the files specified by --training_labels_file (-l) and --test_labels_file (-L), respectively.

So, a simple example where we want to split dataset.csv into train.csv and test.csv with 60 of the data in the training set and 40 of the dataset in the test set, we could run

$ mlpack_preprocess_split -i dataset.csv -t train.csv -T test.csv -r 0.4

If we had a dataset in dataset.csv and associated labels in labels.csv, and we wanted to split these into training_set.csv, training_labels.csv, test_set.csv, and test_labels.csv, with 30 of the data in the test set, we could run

$ mlpack_preprocess_split -i dataset.csv -I labels.csv -r 0.3 > -t training_set.csv -l training_labels.csv -T test_set.csv > -L test_labels.csv

REQUIRED INPUT OPTIONS

--input_file (-i) [string]

File containing data,

OPTIONAL INPUT OPTIONS

--help (-h)

Default help info.

--info [string]

Get help on a specific module or option. Default value ’’. --input_labels_file (-I) [string] File containing labels Default value ’’.

--seed (-s) [int]

Random seed (0 for std::time(NULL)). Default value 0.

--test_ratio (-r) [double]

Ratio of test set; if not set,the ratio defaults to 0.2 Default value 0.2.

--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.

OPTIONAL OUTPUT OPTIONS

--test_file (-T) [string]

File name to save test data Default value ’’. --test_labels_file (-L) [string] File name to save test label Default value ’’. --training_file (-t) [string] File name to save train data Default value ’’. --training_labels_file (-l) [string] File name to save train label Default value ’’.

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.