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...@@ -93,6 +93,7 @@ fetch_map = client.predict(feed={"x": data}, fetch=["price"]) ...@@ -93,6 +93,7 @@ fetch_map = client.predict(feed={"x": data}, fetch=["price"])
print(fetch_map) print(fetch_map)
``` ```
Here, `client.predict` function has two arguments. `feed` is a `python dict` with model input variable alias name and values. `fetch` assigns the prediction variables to be returned from servers. In the example, the name of `"x"` and `"price"` are assigned when the servable model is saved during training.
<h2 align="center"> Pre-built services with Paddle Serving</h2> <h2 align="center"> Pre-built services with Paddle Serving</h2>
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