I'm trying to import Python Tensorflow custom model to spring-boot
using DJL Tensorflow
, and the model gets Pandas DataFrame
as both input and output.
I'm wondering if there is any particular table or dataFrame class that is applicable for Criteria<I, O> and ZooModel<I, O> since there is only Image class from ai.djl.modality.cv.Image
in example codes.
If there is, is the class compatible with Pandas DataFrame
? There are some codes that I wrote and error messages below.
I've already tried tablesaw.api.Table
and apache.spark.sql.Dataset
but it did not work. If you know any information about it, please let me know.
conditions
- Input class
I
and Output classO
should be equivalent toPandas DataFrame
- This class should be applicable for
Criteria<I, O>
andZooModel<I, O>
codes
Criteria<I, O> criteria = Criteria.builder()
.setTypes(I.class, O.class) // defines input and output data type
.optModelUrls("../model/mlpDemo/") // search models in specified path
.build();
try (ZooModel<I, O> model = criteria.loadModel();
Predictor<I, O> predictor = model.newPredictor();) {
O result = predictor.predict(dataFrame); // here should be loaded dataFrame
System.out.print(result);
} catch (Exception e) {
e.printStackTrace();
}
error messages
ai.djl.repository.zoo.ModelNotFoundException: No matching model with specified Input/Output type found.
at ai.djl.repository.zoo.Criteria.loadModel(Criteria.java:186)
at com.example.demo.DemoApplication.main(DemoApplication.java:69)
Caused by: ai.djl.repository.zoo.ModelNotFoundException: No matching default translator found. The valid input and output classes are:
(ai.djl.ndarray.NDList, ai.djl.ndarray.NDList)
at ai.djl.repository.zoo.BaseModelLoader.loadModel(BaseModelLoader.java:97)
at ai.djl.repository.zoo.Criteria.loadModel(Criteria.java:174)
... 1 more