nn-project
v0.0.2
Published
> For Queen's CMPE 452
Downloads
1
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