package cntk
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Type Members
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class
CNTKFunctionParam extends ComplexParam[SerializableFunction] with ParamEquality[SerializableFunction]
Param for ByteArray.
Param for ByteArray. Needed as spark has explicit params for many different types but not ByteArray.
- class CNTKModel extends Model[CNTKModel] with ComplexParamsWritable with HasMiniBatcher with HasFeedFetchDicts with Wrappable with BasicLogging
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class
ImageFeaturizer extends Transformer with HasInputCol with HasOutputCol with Wrappable with ComplexParamsWritable with BasicLogging
The
ImageFeaturizerrelies on a CNTK model to do the featurization, one can set this model using themodelLocationparameter.The
ImageFeaturizerrelies on a CNTK model to do the featurization, one can set this model using themodelLocationparameter. To map the nodes of the CNTK model onto the standard "layers" structure of a feed forward neural net, one needs to supply a list of node names that range from the output node, back towards the input node of the CNTK Function. This list does not need to be exhaustive, and is provided to you if you use a model downloaded from theModelDownloader, one can find this layer list in the schema of the downloaded model.The
ImageFeaturizertakes an input column of images (the type returned by theImageReader), and automatically resizes them to fit the CMTKModel's inputs. It then feeds them through a pre-trained CNTK model. One can truncate the model using thecutOutputLayersparameter that determines how many layers to truncate from the output of the network. For example, layer=0 means that no layers are removed, layer=2 means that the image featurizer returns the activations of the layer that is two layers from the output layer.
Value Members
- object CNTKModel extends ComplexParamsReadable[CNTKModel] with Serializable
- object ConversionUtils
- object ImageFeaturizer extends ComplexParamsReadable[ImageFeaturizer] with Serializable