`python.dgbpy.hdf5`¶

Module Contents¶

Functions¶

`dictAddIfNew`(newset, toadd)
`getCubeLetNames`(info)
`getCubeLetNamesByGroup`(info, groupnm, example)
`getCubeLetNamesByGroupByItem`(info, groupnm, collnm, idx)
`getGroupSize`(filenm, groupnm)
`getNrAttribs`(info)
`getNrOutputs`(info)
`get_np_shape`(shape, nrpts=None, nrattribs=None)
`isRegression`(info)
`isClassification`(info)
`isSegmentation`(info)
`isSeisClass`(info)
`isLogInput`(info)
`isLogOutput`(info)
`isImg2Img`(info)
`isModel`(info)
`isMultiLabelRegression`(info)
`getOutdType`(classinfo)
`getCubeLets`(infos, collection, groupnm)
`getDatasets_`(infos, datasets, fortrain)
`getDatasets`(infos, dsetsel=None, train=True, validation=True)
`validInfo`(info)
`getInfo`(filenm, quick)
`getAttribInfo`(info, filenm)
`getWellInfo`(info, filenm)
`getNrClasses`(info)
`arroneitemsize`(dtype)
`getTotalSize`(info)
`modelIdxStr`(idx)
`addInfo`(inpfile, plfnm, filenm, infos, clssnm)
`getClassIndices`(info, filternms=None)
`getClassIndicesFromData`(info)
`getMainOutputs`(info)
`getOutputs`(info)
`getOutputNames`(filenm, indices)
`translateFnm`(modfnm, modelfnm)

Attributes¶

`hdf5ext`
`modeloutstr`

python.dgbpy.hdf5.hdf5ext = h5¶

python.dgbpy.hdf5.dictAddIfNew(newset, toadd)¶

python.dgbpy.hdf5.getCubeLetNames(info)¶

python.dgbpy.hdf5.getCubeLetNamesByGroup(info, groupnm, example)¶

python.dgbpy.hdf5.getCubeLetNamesByGroupByItem(info, groupnm, collnm, idx)¶

python.dgbpy.hdf5.getGroupSize(filenm, groupnm)¶

python.dgbpy.hdf5.getNrAttribs(info)¶

python.dgbpy.hdf5.getNrOutputs(info)¶

python.dgbpy.hdf5.get_np_shape(shape, nrpts=None, nrattribs=None)¶

python.dgbpy.hdf5.isRegression(info)¶

python.dgbpy.hdf5.isClassification(info)¶

python.dgbpy.hdf5.isSegmentation(info)¶

python.dgbpy.hdf5.isSeisClass(info)¶

python.dgbpy.hdf5.isLogInput(info)¶

python.dgbpy.hdf5.isLogOutput(info)¶

python.dgbpy.hdf5.isImg2Img(info)¶

python.dgbpy.hdf5.isModel(info)¶

python.dgbpy.hdf5.isMultiLabelRegression(info)¶

python.dgbpy.hdf5.getOutdType(classinfo)¶

python.dgbpy.hdf5.getCubeLets(infos, collection, groupnm)¶

python.dgbpy.hdf5.getDatasets_(infos, datasets, fortrain)¶

python.dgbpy.hdf5.getDatasets(infos, dsetsel=None, train=True, validation=True)¶

python.dgbpy.hdf5.validInfo(info)¶

python.dgbpy.hdf5.getInfo(filenm, quick)¶

python.dgbpy.hdf5.getAttribInfo(info, filenm)¶

python.dgbpy.hdf5.getWellInfo(info, filenm)¶

python.dgbpy.hdf5.getNrClasses(info)¶

python.dgbpy.hdf5.arroneitemsize(dtype)¶

python.dgbpy.hdf5.getTotalSize(info)¶

python.dgbpy.hdf5.modeloutstr = Model.Output.¶

python.dgbpy.hdf5.modelIdxStr(idx)¶

python.dgbpy.hdf5.addInfo(inpfile, plfnm, filenm, infos, clssnm)¶

python.dgbpy.hdf5.getClassIndices(info, filternms=None)¶

python.dgbpy.hdf5.getClassIndicesFromData(info)¶

python.dgbpy.hdf5.getMainOutputs(info)¶

python.dgbpy.hdf5.getOutputs(info)¶

python.dgbpy.hdf5.getOutputNames(filenm, indices)¶

python.dgbpy.hdf5.translateFnm(modfnm, modelfnm)¶