MAN

Extends MathJX with various AI/ML methods:

light weight image processing
symbolic algebra
time series analysis ( digital signal processing, spectral, kalman filter, autoregressive moving average )
liner programming ( simplex, blossom, hidden markov methods, optimal global alignment )
matrix decompositions ( eigen spectrums, singular value decomposition )
bayesian belief networks
regression methods ( logistic, support vector, other )
non-linear optimizers ( least cost path, linear programming, gradient descent, newton-raphton )
neural networks ( convolutional, caffe CNN, recurrent, tensor flow language models )
cluster analysis ( K-means, expectation maximization, density based scan, support vector machine, principle component analysis, tsne )
special functions ( gamma, multivariate normal, rieman zeta, crypto ).

See the Program Reference for method details.

Manage

npm install @totemorg/enums	# install
npm run start [ ? | $ | ...]	# Unit test
npm run verminor				# Roll minor version
npm run vermajor				# Roll major version
npm run redoc					# Regen documentation

Usage

Acquire and optionally configure MAN as follows:

import { $ } from "@totemorg/man");

$.config({
	key: value, 						// set key
	"key.key": value, 					// indexed set
	"key.key.": value					// indexed append
});

where configuration keys follow ENUMS deep copy conventions. See the Program Reference for usage examples.

Program Reference

Open/Close

## Modules

MAN: Process mathjx script using required AI/ML extensions listed below. This module documented in accordance with jsdoc.
String
Array
JIMP

MAN

Process mathjx script using required AI/ML extensions listed below. This module documented in accordance with jsdoc.

Requires: module:enums, module:mathjx, module:kalman-filter, module:arima, module:crypto, module:mathjs, module:fft-js, module:nodehmm, module:node-svd, module:node-svm, module:mljs, module:jimp, module:jsbayes, module:recurrent-js, module:gamma, module:expectation-maximization, module:multivariate-normal, module:newton-raphson, module:random-seed, module:edmonds-blossom, module:simple-simplex, module:@tensorflow/tfjs, module:sdbscan, module:tsne-js
Author: ACMESDS

Param	Type	Description
pgm	`String`	MathJx script to process.
ctx	`Object`	Context to run script.

Example ( <caption>Eval a js or mathjs script in a context ctx)

	var 
		ctx = $( "script", ctx, ctx => {   // eval with callback
			Trace("updated context", ctx);
		} ),

		ctx = "script".$( ctx ),		// abbreviated

		{ x, y, ... } = "script".$( ctx ) || {};	// with context x,y extractions

Example (Create a matrix)

	var 
		A = $( N, (n,A) => A[n] = ... ) ,  // define N-length vector 
		A = $( [M,N], (n,m,A) => A[m][n] = ... ) ;	// define M x N matrrix

Example (Index a matrix)

	A.$( (n,A) => A[n] = ... ) 	// index vector with callback
	A.$$( (n,m,A) => A[n][m] = ... ) 	// index matrix with callback

Example (Sample a matrix with optional callback cb(val))

	var 
		B = A.get( idx , cb),
		B = A.get( "key, ...", cb ),
		B = A.get( [idx, ...] , cb),
		B = A.get( [key, ...] , cb ),
		B = A.get( {rekey: { toKey: "fromKey", ... }, cb ),
		B = A.get( {draw: N}, cb ),
		B = A.get( {start:N, count:N}, cb ),
		B = A.get( {KEY_starts: "with", ...}, cb ),
		B = A.get( {KEY_ends: "with", ...}, cb )

Example (Import functions to $.somefn and to $( "somefn(...)" ))

	$( {
		somefn: function (args) { ... },
		:
		:
	} );

Example (Use the task sharder)

	$( { 
		keys: "i,j,k",  	// array indicies
		i: [0,1,2,3],  		// domain of index i
		j: [4,8],				// domain of index j
		k: [0],					// domain of index k
		qos: 0,				// regulation time in ms if not zero
		local: false, 		// enable to run task local, i.e. w/o workers and nodes
		workers: 4, 		// limit number of workers (aka cores) per node
		nodes: 3 			// limit number of nodes (ala locales) in the cluster
	}, 

		// here, a simple task that returns a message 
		$ => "my result is " + (i + j*k) + " from " + $.worker + " on "  + $.node,

		// here, a simple callback that displays the task results
		msg => console.log(msg) 
	);

Example (Aggregate and save events ev = {at: "KEY", ...} to ctx.Save_KEY)

	[ev, ...].save( ctx, evs => { // unsave events ... } );
	"query".save( ctx, evs => { //unsave events ... } );

Example (Indexing methods)

	$( "mathjs script", ctx, ctx => { ... } )
	$( "mathjs script", ctx )
	$( "mathjs script" )
	$( [M,N], (m,n,A) => { A[m][n] = ... } )
	$( N, (n,A) => { A[n] = ... } )
	$({	// import functions
		f: (...) => { ... },
		...
	})
	$({	// task sharding
			keys: "i,j,...",  	// array indicies
			i: [...],  		// domain of index i
			j: [...],				// domain of index j
			k: [...],					// domain of index k
			qos: N,				// regulation time in ms if not zero
			local: false, 		// enable to run task local, i.e. w/o workers and nodes
			workers: N, 		// limit number of workers (aka cores) per node
			nodes: N 			// limit number of nodes (ala locales) in the cluster
		}, 

		// here, a simple task that returns a message 
		$ => "my result is " + (i + j*k) + " from " + $.worker + " on "  + $.node,

		// here, a simple callback that displays the task results
		msg => console.log(msg) 
	);

Example (Eval a mathjs script with optional callback and optional context)

	var 
		ctx = $( "mathjs script", ctx, ctx => {   
			x: 1, 
			y: 20, ...
		} );

Example (Eval with extraction of context keys)

	const {x, y, ... } = $( "mathjs script", ctx ) || {};

Example (Import functions)

	$( {
		somefn: function (args) { ... },
		:
		:
	} );

Example (Use the task sharder)

	$( { 
			keys: "i,j,k",  	// array indicies
			i: [0,1,2,3],  		// domain of index i
			j: [4,8],				// domain of index j
			k: [0],					// domain of index k
			qos: 0,				// regulation time in ms if not zero
			local: false, 		// enable to run task local, i.e. w/o workers and nodes
			workers: 4, 		// limit number of workers (aka cores) per node
			nodes: 3 			// limit number of nodes (ala locales) in the cluster
		}, 

		// here, a simple task that returns a message 
		$ => "my result is " + (i + j*k) + " from " + $.worker + " on "  + $.node,

		// here, a simple callback that displays the task results
		msg => console.log(msg) 
	);

String

String~$()

Kind: inner method of String

Array

Array
- ~copy()
- ~dist()
- ~nearestOf()
- ~batch()
- ~flush()
- ~draw()
- ~match()
- ~replace()
- ~unique()

Array~copy()

Kind: inner method of Array

Array~dist()

Kind: inner method of Array

Array~nearestOf()

Kind: inner method of Array

Array~batch()

Kind: inner method of Array

Array~flush()

Kind: inner method of Array

Array~draw()

Kind: inner method of Array

Array~match()

Kind: inner method of Array

Array~replace()

Kind: inner method of Array

Array~unique()

Kind: inner method of Array

JIMP

JIMP
- ~scripts
  - .conf
  - .pca
  - .roc
  - .snr
  - .p0
  - .pw
  - .wk
  - .trigger()
- ~saveKeys
- ~$
- ~help
- ~save()
- ~sym()
- ~resnet()
- ~rp()
- ~eye()
- ~oga([Array], [Array], [Function])
- ~getEv(d, keys)
- ~putEv()
- ~stateSize()
- ~BIC()
- ~draw()
- ~cum()
- ~crf()
- ~propEv()
- ~CMI()
- ~mcmc()
- ~indicate()
- ~boost(cycle, sql, solve, trace, hypo)
- ~proj()
- ~orthoNorm()
- ~MaxFlowMinCut()
- ~ranreg()
- ~degrees()
- ~degree()
- ~nodes()
- ~spectrum()
- ~any()
- ~all()
- ~isoperi()
- ~edges()
- ~clone()
- ~graph()
- ~union()
- ~empty()
- ~ranregs()
- ~rand()
- ~randRot()
- ~ols(use, x, y, solve, cb)
- ~train()
- ~predict(cls, use, x, y, solve, cb)
- ~qda_train()
- ~qda_predict()
- ~beta_train()
- ~beta_predict()
- ~rnn_train()
- ~rnn_predict()
- ~ann_train()
- ~ann_predict()
- ~dnn_train()
- ~dnn_predict()
- ~dhs_train()
- ~dhs_predict()
- ~lda_train()
- ~lda_predict()
- ~ror_train()
- ~ror_predict()
- ~dtr_train()
- ~dtr_predict()
- ~raf_train()
- ~raf_predict()
- ~nab_train()
- ~nab_predict()
- ~som_train()
- ~som_predict()
- ~ols_train()
- ~ols_predict()
- ~svm_train()
- ~svm_predict()
- ~lrm_train()
- ~lrm_predict()
- ~knn_train()
- ~knn_predict()
- ~pls_train()
- ~pls_predict()
- ~triggerProfile()
- ~coherenceIntervals()
- ~arrivalRates()
- ~estGauss()
- ~svd()
- ~evd()
- ~rng()
- ~xcorr()
- ~dht()
- ~dft()
- ~pwrem()
- ~pwrec()
- ~wkpsd()
- ~psd()
- ~evpsd()
- ~udev()
- ~expdev()
- ~cumsum()
- ~conf()
- ~tolAtConf()
- ~tolsAtConf()
- ~loggamma()
- ~beta()
- ~cumbeta()
- ~sinc()
- ~rect()
- ~tri()
- ~negexp()
- ~lorenzian()
- ~zeta()
- ~infer()
- ~mle()
- ~mvn()
- ~lfa()
- ~lma()
- ~rnn()
- ~XX()

JIMP~scripts

Kind: inner property of JIMP

~scripts
- .conf
- .pca
- .roc
- .snr
- .p0
- .pw
- .wk
- .trigger()

scripts.conf

Kind: static property of scripts

scripts.pca

Kind: static property of scripts

scripts.roc

Kind: static property of scripts

scripts.snr

Kind: static property of scripts

scripts.p0

Kind: static property of scripts

scripts.pw

Kind: static property of scripts

scripts.wk

Kind: static property of scripts

scripts.trigger()

Kind: static method of scripts

JIMP~saveKeys

Kind: inner property of JIMP

JIMP~$

Kind: inner property of JIMP