POST /mltk/upload_model

Description. Upload an ONNX model. Validates the schema in an Anaconda sub-process, base64-encodes the binary, writes a CSV lookup __mlspl_{model_name}.mlmodel, and moves it from staging into the lookup directory.

Content-Type. multipart/form-data.

Form fields.

Field	Required	Notes
model_name	yes	Must be a valid Python identifier.
file	yes	ONNX binary.
features	yes	Comma-separated input feature column names.
targets	yes	Comma-separated output column names.

Capabilities. upload_lookup_files and upload_onnx_model_file.

Limits. Max model size is max_model_size_mb from mlspl.conf.

Response (200).

{ "model_name": "my_model", "algo_name": "onnx", "message": "Model uploaded successfully" }

Example.

curl -sk -u "$SPLUNK_USER:$SPLUNK_PASSWORD" -X POST 
  -F "model_name=my_model" 
  -F "file=@/path/to/my_model.onnx" 
  -F "features=cpu,memory" 
  -F "targets=score" 
  "$SPLUNK_HOST/servicesNS/nobody/Splunk_ML_Toolkit/mltk/upload_model?output_mode=json"