Deploys a directory containing a Tensorflow saved model file. A saved model directory might look like this:
./1/ ./1/saved_model.pb or ./1/saved_model.pbtxt ./1/variables/ ./1/variables/variables.data-00000-of-00001 ./1/variables/variables.index
For information on creating saved models, see the Keras method
export_savedmodel.keras.engine.training.Model or the TensorFlow method
export_savedmodel. If using the TensorFlow package for R, the official
TensorFlow guide for saving and restoring models may be useful:
https://www.tensorflow.org/programmers_guide/saved_model#overview_of_saving_and_restoring_models
deployTFModel(modelDir, ...)Path to the saved model directory. MUST contain saved_model.pb or saved_model.pbtxt
Additional arguments to deployApp.
Deploy a single Tensorflow saved model as a bundle. Should be passed a directory that contains the saved_model.pb or saved_model.pbtxt file, as well as any variables and assets necessary to load the model.