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Question

ML Hub: Deployed Successful but not shown in ML Tag

  • February 12, 2026
  • 3 replies
  • 26 views

Dear All

I’ve already deployed the pmml in MLHub but when its success. There’re no ML Tag for creation in Trendview. Does anyone found same problem?

3 replies

Jef Vanlaer
Community Manager
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  • Community Manager
  • February 12, 2026

Hi ​@Thanawath.Ruangsamuth

Once you have successfully deployed the model, you should set up your Machine Learning Model tag through the Tag Builder as a next step, as described here: https://userguide.trendminer.com/en/tag-builder--machine-learning-model-tag.html

Let me know if that solves your question…

Kind regards,
Jef


Hi ​@Thanawath.Ruangsamuth

Once you have successfully deployed the model, you should set up your Machine Learning Model tag through the Tag Builder as a next step, as described here: https://userguide.trendminer.com/en/tag-builder--machine-learning-model-tag.html

Let me know if that solves your question…

Kind regards,
Jef


Thanks for the reply. It not shown any pmml model to chose for Builder. IDK why but it shown success in my code without errors.
 


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  • Employee
  • February 12, 2026

Hi ​@Thanawath.Ruangsamuth,

 

Could you please run the code snippet bellow in an MLHub Notebook this should list all available PMML models that you have.

This way I can confirm the publishing was correct.

 

Kind regards,

Frederik

 

from trendminer.trendminer_client import TrendMinerClient
from trendminer.ml.models import ZementisModels

import os

token = os.environ["KERNEL_USER_TOKEN"]

# Create TrendMiner API object
client = TrendMinerClient(token)

models = ZementisModels(client)
all_models = models.list_models()
print(all_models)