ertytux/js-evaluate-pattern

js-evaluate-pattern

Evaluates an analysis pattern contained in a logistic graph in json format and returns the evaluation of processing node events as json.

Install

If you will use from you project

npm install --save git+https://github.com/Ertytux/js-evaluate-pattern.git

or clone

git clone https://github.com/Ertytux/js-evaluate-pattern.git
cd js-evaluate-pattern
npm install

Usage

Input description

The estrada is in a json file that stores a list of nodes and a list of links, see the data file data.json as an example. Each node has the following structure:

{
    "type": "input",
    "id": "Indicator1",
    "label": "",
    "description": "criminal in area",
    "value": 0.4,
    "opvalue": 0
}

Valid values for type are "input","output", any other value is interpreted as "processing". Input nodes not have link in, and output nodes not have link out. The id must be unique for every node, since is used as key search. Label and description can have any value. Value only have means for input nodes, in other nodes types is set to 0 by default. Opvalue only have mean on process and output nodes and it is a parameter used as offset in the evaluation function.

Each link in the list of links have the following structure:

{
    "source": "Indicator1",
    "target": "Event1",
    "weight": 0.8
}

Source is the id of input node and target is the id of the output node. Weight is a parameter used by output node to compute the evaluation function.

Evaluation function

By default in this version the logistic function¹² is used:

$$X=opvalue + \sum values_{in}*weight_in$$,

$$result = \frac{1}{1+e^{-X}}$$

The compute are realized over process and output nodes recursively avoiding overevaluation.

Output description

It is the same node array in json format with the values acording to the inputs and the graph structure.

Run

You can run as file load as:

npm run exec

wich ask you the json input file

also you can run as service as:

npm run server

for test you can execute in a terminal

sh test.sh yourJsonFilePath.json

or using curl:

curl -X POST -H "Content-Type: application/json" -d @"yourJsonFilePath" "http://localhost:3000/api/paterneval"

License

MIT © Ertytux

Footnotes

1. https://lme.tf.fau.de/lecture-notes/lecture-notes-pr/lecture-notes-in-pattern-recognition-episode-5-the-logistic-function/ ↩

2. Issa, H., & Kogan, A. (2014). A predictive ordered logistic regression model as a tool for quality review of control risk assessments. Journal of Information Systems, 28(2), 209-229. ↩