parser/healthcareio/report/static/js/jx/ext/ml.js

62 lines
1.4 KiB
JavaScript
Executable File

/**
* Simple Javascript eXtension - 1.0, Machine Leanring Module
* (c) 2011 - 2015 Steve L. Nyemba, steve@the-phi.com
* License GPL version 3.0
*
* dependencies:
* jx.utils collection of utilities and design patterns used
* jx.math various math & statistical functions
* This file implements a few reusable machine learning models/techniques
*
* jx.ml.mapreduce Performs a standard/basic mapreduce (single thread for now)
* jx.ml.regression Will perform linear & logistic regressions
*/
if(!jx){
var jx = {} ;
}
jx.ml = {}
/**
* The function performs map/reduce and at the very least map i.e the reduce function is optional
*/
jx.ml.mapreduce = function(data,fn_map,fn_reduce){
//
// insure that the mapping function has been provided
//
var __map = {}
var emit = function(id,mvalue){
if(__map[id] == null){
__map[id] = []
}
__map[id].push(mvalue) ;
}//-- end of the emitter
if(data.constructor != Array){
jx.utils.patterns.visitor(jx.utils.keys(data),function(id){
fn_map(data[id],emit) ;
});
}else{
jx.utils.patterns.visitor(data,function(row){
fn_map(row,emit) ;
});
}
if(fn_reduce != null){
//
// We will be performing a reduce operation at this point
var ids = jx.utils.keys(__map) ;
jx.utils.patterns.visitor(ids,function(id){
return __map[id] = fn_reduce(id,__map[id]) ;
});
}
return __map ;
}//--
/**
* The modules developed below will perform linear regression and logistic regression
*/
jx.ml.regression = {}