Hi Folks, am facing issue when deploying my xgboos...

# android

[Arizona]

Hi Folks, am facing issue when deploying my xgboost.onnx model.
Here I use kotlin-dl libs -> https://github.com/Kotlin/kotlindl/tree/master?tab=readme-ov-file.

I have input data:

val input = floatArrayOf(
    1F, 2F, 3F, 4F, 5F, 1F, 2F, 3F, 4F, 5F,
    1F, 2F, 3F, 4F, 5F, 1F, 2F, 3F, 4F, 5F,
    1F, 2F, 3F, 4F, 5F, 1F, 2F, 3F, 4F, 5F,
    1F, 2F, 3F, 4F, 5F,
    1F, 2F
) // Input data representing 37 answers to 37 questions respectively

and the execution model snippet:

loadModel(context)
    .inferAndCloseUsing(ExecutionProvider.CPU()) { result ->
        result.predictRaw(input) { output -> // predictRaw() require floatArray()
            Log.e("TES MODEL =>", "Output: $output")
        }
    }

Log error: The number of elements (N=37) in the input tensor does not match the model input shape - [1, -1, 37]

Literaly, I understood the sentece. But, have no clue how to solve it. Thanks a lot

#kotlin-dl #C0B8M7BUY