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Package detail

nn-project

zackharley3MIT0.0.2

For Queen's CMPE 452

readme

Neural Networks Data CLI

For Queen's CMPE 452

Getting Started

npm install -g nn-project

Usage

  normalize [options] <path | file>

    path | file             A path to a CSV or a CSV filename to load into the normalizer

  Options:

    -h, --help                          Output usage information
    -c, --csv                           Output normalized data as a CSV (default)
    -j, --json                          Output normalized data as a JSON
    -o FILE, -output=FILE               The filename for the normalized data. NOTE: The output type file extension will be appended to the supplied filename. (defaults to <INPUT_FILE>.normalized.<EXTENSION>)
    --moving-averages=AVG_1,...,AVG_N   The moving averages to use. (defaults to 5,50,100,200)

  Examples:

  - Normalize a CSV referenced by a relative path

    $ normalize my-data.csv

  - Normalize a CSV referenced by a relative path

    $ normalize /Users/Me/Documents/my-data.csv

  - Specify output to be JSON

    $ normalize --json my-data.csv

  - Specify an output path

    $ normalize -o my-normalized-data.csv my-data.csv

    or

    $ normalize --output="/Users/Me/Documents/my-normalized-data.csv" my-data.csv

  - Specify custom moving averages

    $ normalize --moving-averages="2,3,4,5" my-data.csv

License

MIT © Zack Harley