db package

db.mldb module

db.mldb.buildBounded(pickle, baseFN)[source]

db.mldb.checkBounds(data, keys)[source]

db.mldb.findClosestIndex(myList, myNumber)[source]

Returns closest index to myNumber.

Assumes myList is sorted. If two numbers are equally close, return the smallest number.

class db.mldb.mldb(descr='')[source]

Bases: object

__init__(descr='')[source]

build(filename_postfix, path)[source]

buildASCII(path, dataDescriptionFile, dataFileName, interlockFileName)[source]

Build training set from archiver data obtained with the ArchiveExport command

The dataDescriptionFile will define the input (aka design) and output (aka object) variables

buildFromSDDS(baseFN, root, yNames)[source]

Build training set from sdds (simulation) data

Data obtained with for example OPAL The dataDescriptionFile will define the input (aka design) and output (aka object) variables

buildFromSampler(jsonFN, root, yNames, statBaseFn='', dbname='')[source]: Build training set from an OPAL sampler run

getAllDvar(gen)[source]

getAllDvarData()[source]

getAllObj(gen)[source]

getAllObjData()[source]

getBounds()[source]

getDVarVec(gen, indiv)[source]

getDvarsPD(ind=0)[source]

getNumberOfSamples()[source]

getObjVec(gen, indiv)[source]

getQoIsPD()[source]

getQoiDvarPD(ind=0)[source]

getSampleSize(i=0)[source]

getTimes(gen, indiv)[source]

getXDim()[source]

getXNames()[source]

getYDim()[source]

getYNames()[source]

load(filename)[source]

printOverview()[source]

writeDB(filename_postfix)[source]

db.mldb.strToFloat(in_array)[source]

db.mldb.substring_after(s, delim)[source]

db.mldb.substring_before(s, delim)[source]