predict_pmml() returns the prediction for a single input record that is sent
to Zementis Server. The value returned depends on the type of prediction model
being executed on the server.
predict_pmml(x, model_name, ...)
| x | A one row data frame containing the data record which is sent to Zementis Server for prediction. The data frame column names must match the PMML model argument names. |
|---|---|
| model_name | The name of the deployed PMML model that gets the prediction
on the new data record |
| ... | Additional arguments passed on to the underlying HTTP method.
This might be necessary if you need to set some curl options explicitly
via |
A list with the following components:
model A length one character vector containing the model_name that was executed on the server
outputs A data frame containing the prediction results for x
For regression models outputs will include a 1-column data frame with
the predicted value.
For binary classification models outputs will include a 3-column
data frame that includes the probability of class 0, the probability of
class 1 and the classification class label result based on a 50% threshold.
if (FALSE) { predict_pmml(iris[42, ], "iris_model") }