Deploys a directory containing a Tensorflow saved model file.
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.
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
keras::export_savedmodel.keras.engine.training.Model() or the TensorFlow
method tensorflow::export_savedmodel(). If using the TensorFlow package for
R, the official TensorFlow guide for saving and restoring models
may be useful.
Other Deployment functions:
applications(),
deployAPI(),
deployApp(),
deployDoc(),
deploySite()