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