dgbpy.keystr
Module Contents
Functions
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Format t (in seconds) to (h):mm:ss |
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Attributes
- dgbpy.keystr.arrayorderdictstr = array_order
- dgbpy.keystr.classdictstr = classification
- dgbpy.keystr.classesdictstr = classes
- dgbpy.keystr.classnmdictstr = classnm
- dgbpy.keystr.collectdictstr = collection
- dgbpy.keystr.componentdictstr = component
- dgbpy.keystr.confdictstr = confidence
- dgbpy.keystr.datasetdictstr = datasets
- dgbpy.keystr.dbkeydictstr = dbkey
- dgbpy.keystr.decimkeystr = decimation
- dgbpy.keystr.dtypeconf = confdtype
- dgbpy.keystr.dtypepred = preddtype
- dgbpy.keystr.dtypeprob = probdtype
- dgbpy.keystr.estimatedsizedictstr = estimatedsize
- dgbpy.keystr.exampledictstr = examples
- dgbpy.keystr.filedictstr = filenm
- dgbpy.keystr.foldstr = fold
- dgbpy.keystr.geomiddictstr = geomid
- dgbpy.keystr.iddictstr = id
- dgbpy.keystr.infodictstr = info
- dgbpy.keystr.inpscalingdictstr = inp_scaling
- dgbpy.keystr.inpscalingvalsdictstr = inp_scalingvals
- dgbpy.keystr.inpshapedictstr = inp_shape
- dgbpy.keystr.inputdictstr = input
- dgbpy.keystr.interpoldictstr = interpolated
- dgbpy.keystr.learntypedictstr = learntype
- dgbpy.keystr.locationdictstr = location
- dgbpy.keystr.logdictstr = log
- dgbpy.keystr.namedictstr = name
- dgbpy.keystr.nroutdictstr = nroutputs
- dgbpy.keystr.outputunscaledictstr = out_unscale
- dgbpy.keystr.pathdictstr = path
- dgbpy.keystr.plfdictstr = platform
- dgbpy.keystr.preddictstr = prediction
- dgbpy.keystr.probadictstr = probabilities
- dgbpy.keystr.rangedictstr = range
- dgbpy.keystr.scaledictstr = scale
- dgbpy.keystr.seeddictstr = seed
- dgbpy.keystr.outshapedictstr = out_shape
- dgbpy.keystr.segmentdictstr = segmentation
- dgbpy.keystr.surveydictstr = survey
- dgbpy.keystr.targetdictstr = target
- dgbpy.keystr.traindictstr = train
- dgbpy.keystr.trainseldicstr = training_selection
- dgbpy.keystr.validdictstr = validation
- dgbpy.keystr.versiondictstr = version
- dgbpy.keystr.xdatadictstr = x_data
- dgbpy.keystr.xtraindictstr = x_train
- dgbpy.keystr.xvaliddictstr = x_validate
- dgbpy.keystr.ydatadictstr = y_data
- dgbpy.keystr.ytraindictstr = y_train
- dgbpy.keystr.yvaliddictstr = y_validate
- dgbpy.keystr.ypreddictstr = y_pred
- dgbpy.keystr.zstepdictstr = zstep
- dgbpy.keystr.withunlabeleddictstr = withunlabeled
- dgbpy.keystr.averagestr = Average
- dgbpy.keystr.carrorderstr = C-Order
- dgbpy.keystr.classdatavalstr = Classification Data
- dgbpy.keystr.classesvalstr = Classes
- dgbpy.keystr.classificationvalstr = Classification
- dgbpy.keystr.confvalstr = Confidence
- dgbpy.keystr.contentvalstr = Content
- dgbpy.keystr.continuousvalstr = Continuous Data
- dgbpy.keystr.crosslinestr = Cross-line
- dgbpy.keystr.disclaimerstr = Disclaimer, IP Rights and Permission-to-Use
- dgbpy.keystr.globalstdtypestr = Global Standardization
- dgbpy.keystr.inlinestr = In-line
- dgbpy.keystr.inpshapestr = Input.Shape
- dgbpy.keystr.kerasplfnm = keras
- dgbpy.keystr.localstdtypestr = Local Standardization
- dgbpy.keystr.logclustertypestr = Log Clustering
- dgbpy.keystr.loglogtypestr = Log-Log Prediction
- dgbpy.keystr.maxstr = Maximum
- dgbpy.keystr.minstr = Minimum
- dgbpy.keystr.minmaxtypestr = MinMax
- dgbpy.keystr.mlsoftkey = OpendTect-ML-Software
- dgbpy.keystr.modelnm = new model
- dgbpy.keystr.modelnmstr = Model.Name
- dgbpy.keystr.normalizetypestr = Normalization
- dgbpy.keystr.numpyvalstr = numpy
- dgbpy.keystr.onnxcudastr = CUDAExecutionProvider
- dgbpy.keystr.onnxcpustr = CPUExecutionProvider
- dgbpy.keystr.onnxplfnm = onnx
- dgbpy.keystr.outshapestr = Output.Shape
- dgbpy.keystr.prefercpustr = prefercpu
- dgbpy.keystr.reversestr = Reverse
- dgbpy.keystr.scikitplfnm = scikit
- dgbpy.keystr.segmenttypestr = Segmentation
- dgbpy.keystr.seisclasstypestr = Seismic Classification
- dgbpy.keystr.seisimgtoimgtypestr = Seismic Image Transformation
- dgbpy.keystr.seisproptypestr = Property Prediction from Seismics
- dgbpy.keystr.torchplfnm = torch
- dgbpy.keystr.typestr = Type
- dgbpy.keystr.valuestr = Value
- dgbpy.keystr.versionstr = Version
- dgbpy.keystr.withunlabeledstr = Withunlabeled
- dgbpy.keystr.ndimstr = ndims
- dgbpy.keystr.getNames(lst, uinames=True)
- dgbpy.keystr.getNameFromUiName(lst, itmnm)
- dgbpy.keystr.getNameFromList(lst, itmnm, uiname)
- dgbpy.keystr.getDefaultAugmentation()
- dgbpy.keystr.getDefaultTensorBoard()
- dgbpy.keystr.format_time(t)
Format t (in seconds) to (h):mm:ss
- dgbpy.keystr.listify(o)