:py:mod:`dgbpy.mlmodel_torch_dGB`
=================================

.. py:module:: dgbpy.mlmodel_torch_dGB


Module Contents
---------------

Classes
~~~~~~~

.. autoapisummary::

   dgbpy.mlmodel_torch_dGB.dGB_UnetSeg
   dgbpy.mlmodel_torch_dGB.dGB_Simple_Net_Classifier
   dgbpy.mlmodel_torch_dGB.dGB_UnetReg
   dgbpy.mlmodel_torch_dGB.dGB_ResNet18
   dgbpy.mlmodel_torch_dGB.dGB_Simple_Net_Regressor
   dgbpy.mlmodel_torch_dGB.dGB_LeNet_Regressor
   dgbpy.mlmodel_torch_dGB.dGB_LeNet_Classifier
   dgbpy.mlmodel_torch_dGB.dGB_UNetSeg_VGG19
   dgbpy.mlmodel_torch_dGB.dGB_UNetReg_VGG19



Functions
~~~~~~~~~

.. autoapisummary::

   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)



.. py:class:: dGB_LeNet_Regressor

   Bases: :py:obj:`dgbpy.torch_classes.TorchUserModel`

   .. py:attribute:: uiname
      :annotation: = dGB LeNet Regressor

      

   .. py:attribute:: uidescription
      :annotation: = dGBs LeNet Regressor Model in TorchUserModel form

      

   .. py:attribute:: predtype
      

      

   .. py:attribute:: outtype
      

      

   .. py:attribute:: dimtype
      

      

   .. py:method:: _make_model(self, model_shape, nroutputs, nrattributes)



.. py:class:: dGB_LeNet_Classifier

   Bases: :py:obj:`dgbpy.torch_classes.TorchUserModel`

   .. py:attribute:: uiname
      :annotation: = dGB LeNet Classifier

      

   .. py:attribute:: uidescription
      :annotation: = dGBs LeNet Classifier Model in TorchUserModel form

      

   .. py:attribute:: predtype
      

      

   .. py:attribute:: outtype
      

      

   .. py:attribute:: dimtype
      

      

   .. py:method:: _make_model(self, model_shape, nroutputs, nrattributes)



.. py:class:: dGB_UNetSeg_VGG19

   Bases: :py:obj:`dgbpy.torch_classes.TorchUserModel`

   .. py:attribute:: uiname
      :annotation: = dGB UNet VGG19 Segmentation

      

   .. py:attribute:: uidescription
      :annotation: = dGBs UNet VGG19 Segmentation Model in TorchUserModel form

      

   .. py:attribute:: predtype
      

      

   .. py:attribute:: outtype
      

      

   .. py:attribute:: dimtype
      

      

   .. py:method:: _make_model(self, model_shape, nroutputs, nrattributes)



.. py:class:: dGB_UNetReg_VGG19

   Bases: :py:obj:`dgbpy.torch_classes.TorchUserModel`

   .. py:attribute:: uiname
      :annotation: = dGB UNet VGG19 Regression

      

   .. py:attribute:: uidescription
      :annotation: = dGBs UNet VGG19 Regression Model in TorchUserModel form

      

   .. py:attribute:: predtype
      

      

   .. py:attribute:: outtype
      

      

   .. py:attribute:: dimtype
      

      

   .. py:method:: _make_model(self, model_shape, nroutputs, nrattributes)