predict_savedmodel.webapi_prediction: Predict using a Web API

In tfdeploy: Deploy 'TensorFlow' Models

Description

Performs a prediction using a Web API providing a SavedModel.

Usage

## S3 method for class 'webapi_prediction'
predict_savedmodel(instances, model, ...)

Arguments

instances	A list of prediction instances to be passed as input tensors to the service. Even for single predictions, a list with one entry is expected.
model	The model as a local path, a REST url or graph object. A local path can be exported using export_savedmodel(), a REST URL can be created using serve_savedmodel() and a graph object loaded using load_savedmodel(). A type parameter can be specified to explicitly choose the type model performing the prediction. Valid values are export, webapi and graph.
...	See predict_savedmodel.export_prediction(), predict_savedmodel.graph_prediction(), predict_savedmodel.webapi_prediction() for additional options. #' @section Implementations: predict_savedmodel.export_prediction() predict_savedmodel.graph_prediction() predict_savedmodel.webapi_prediction()]

tfdeploy documentation built on June 14, 2019, 5:04 p.m.