:py:mod:`python.dgbpy.mlmodel_torch_dGB` ======================================== .. py:module:: python.dgbpy.mlmodel_torch_dGB Module Contents --------------- Classes ~~~~~~~ .. autoapisummary:: python.dgbpy.mlmodel_torch_dGB.dGB_UnetSeg python.dgbpy.mlmodel_torch_dGB.dGB_Simple_Net_Classifier python.dgbpy.mlmodel_torch_dGB.dGB_UnetReg python.dgbpy.mlmodel_torch_dGB.dGB_ResNet18 python.dgbpy.mlmodel_torch_dGB.dGB_Simple_Net_Regressor Functions ~~~~~~~~~ .. autoapisummary:: python.dgbpy.mlmodel_torch_dGB.ResNet18 .. py:class:: dGB_UnetSeg Bases: :py:obj:`dgbpy.torch_classes.TorchUserModel` .. py:attribute:: uiname :annotation: = dGB UNet Segmentation .. py:attribute:: uidescription :annotation: = dGBs Unet image segmentation .. py:attribute:: predtype .. py:attribute:: outtype .. py:attribute:: dimtype .. py:method:: _make_model(self, model_shape, nroutputs, nrattribs) .. py:class:: dGB_Simple_Net_Classifier Bases: :py:obj:`dgbpy.torch_classes.TorchUserModel` .. py:attribute:: uiname :annotation: = Simple Net Classifier .. py:attribute:: uidescription :annotation: = dGbs Simple Net Classifier Model in TorchUserModel form .. py:attribute:: predtype .. py:attribute:: outtype .. py:attribute:: dimtype .. py:method:: _make_model(self, model_shape, nroutputs, nrattribs) .. py:class:: dGB_UnetReg Bases: :py:obj:`dgbpy.torch_classes.TorchUserModel` .. py:attribute:: uiname :annotation: = dGB UNet Regression .. py:attribute:: uidescription :annotation: = dGBs Unet image regression .. py:attribute:: predtype .. py:attribute:: outtype .. py:attribute:: dimtype .. py:method:: _make_model(self, model_shape, nroutputs, nrattribs) .. py:class:: dGB_ResNet18 Bases: :py:obj:`dgbpy.torch_classes.TorchUserModel` .. py:attribute:: uiname :annotation: = ResNet 18 Classifier .. py:attribute:: uidescription :annotation: = dGBs ResNet Classifier Model in TorchUserModel form .. py:attribute:: predtype .. py:attribute:: outtype .. py:attribute:: dimtype .. py:method:: _make_model(self, model_shape, nroutputs, nrattribs) .. py:function:: ResNet18(nroutputs, dim, nrattribs) .. py:class:: dGB_Simple_Net_Regressor Bases: :py:obj:`dgbpy.torch_classes.TorchUserModel` .. py:attribute:: uiname :annotation: = Simple Net Regressor .. py:attribute:: uidescription :annotation: = dGbs Simple Net Regressor Model in TorchUserModel form .. py:attribute:: predtype .. py:attribute:: outtype .. py:attribute:: dimtype .. py:method:: _make_model(self, model_shape, nroutputs, nrattribs)