dgbpy.keystr

Attributes

`arrayorderdictstr`
`classdictstr`
`classesdictstr`
`classnmdictstr`
`collectdictstr`
`componentdictstr`
`confdictstr`
`criteriondictstr`
`datasetdictstr`
`dbkeydictstr`
`decimkeystr`
`dtypeconf`
`dtypepred`
`dtypeprob`
`estimatedsizedictstr`
`exampledictstr`
`filedictstr`
`flexshpdictstr`
`foldstr`
`geomiddictstr`
`iddictstr`
`infodictstr`
`inpscalingdictstr`
`inpscalingvalsdictstr`
`inpscaleclipstr`
`inpshapedictstr`
`inputdictstr`
`interpoldictstr`
`learntypedictstr`
`locationdictstr`
`logdictstr`
`matchdictstr`
`namedictstr`
`nroutdictstr`
`outputunscaledictstr`
`pathdictstr`
`plfdictstr`
`preddictstr`
`probadictstr`
`rangedictstr`
`scaledictstr`
`seeddictstr`
`outshapedictstr`
`savetypedictstr`
`segmentdictstr`
`surveydictstr`
`targetdictstr`
`traindictstr`
`trainconfigdictstr`
`trainseldicstr`
`validdictstr`
`versiondictstr`
`withunlabeleddictstr`
`xdatadictstr`
`xtraindictstr`
`xvaliddictstr`
`ydatadictstr`
`ytraindictstr`
`yvaliddictstr`
`ypreddictstr`
`zstepdictstr`
`averagestr`
`carrorderstr`
`classdatavalstr`
`classesvalstr`
`classificationvalstr`
`confvalstr`
`contentvalstr`
`continuousvalstr`
`crosslinestr`
`disclaimerstr`
`flexshpstr`
`globalstdtypestr`
`inlinestr`
`inpshapestr`
`kerasplfnm`
`localstdtypestr`
`logclustertypestr`
`loglogtypestr`
`matchstr`
`maxstr`
`minstr`
`minmaxtypestr`
`mlsoftkey`
`modelnm`
`modelnmstr`
`normalizetypestr`
`numpyvalstr`
`onnxcudastr`
`onnxcpustr`
`onnxplfnm`
`outshapestr`
`prefercpustr`
`rangestdtypestr`
`reversestr`
`scikitplfnm`
`segmentstr`
`segmenttypestr`
`seisclasstypestr`
`seisimgtoimgtypestr`
`seisproptypestr`
`torchplfnm`
`typestr`
`valuestr`
`versionstr`
`zipmodelstr`
`ndimstr`
`s3bokehmsg`

Functions

`getNames`(lst[, uinames])
`getNameFromUiName`(lst, itmnm)
`getNameFromList`(lst, itmnm, uiname)
`getDefaultAugmentation`()
`getDefaultTensorBoard`()
`format_time`(t)	Format t (in seconds) to (h):mm:ss
`listify`(o)

Module Contents

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.criteriondictstr = 'criterion'

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.flexshpdictstr = 'flexshp'

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.inpscaleclipstr = 'inp_scaleclip'

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.matchdictstr = 'match'

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.savetypedictstr = 'save_type'

dgbpy.keystr.segmentdictstr = 'segmentation'

dgbpy.keystr.surveydictstr = 'survey'

dgbpy.keystr.targetdictstr = 'target'

dgbpy.keystr.traindictstr = 'train'

dgbpy.keystr.trainconfigdictstr = 'training_config'

dgbpy.keystr.trainseldicstr = 'training_selection'

dgbpy.keystr.validdictstr = 'validation'

dgbpy.keystr.versiondictstr = 'version'

dgbpy.keystr.withunlabeleddictstr = 'withunlabeled'

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.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.flexshpstr = 'FlexShape'

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.matchstr = 'Match'

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.rangestdtypestr = 'Range Standardization'

dgbpy.keystr.reversestr = 'Reverse'

dgbpy.keystr.scikitplfnm = 'scikit'

dgbpy.keystr.segmentstr = 'Segment'

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.zipmodelstr = 'zipmodel'

dgbpy.keystr.ndimstr = 'ndims'

dgbpy.keystr.s3bokehmsg = '--S3--:'

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)