Importing models into Watson Machine Learning
If you have a machine learning model or neural network that was trained outside of IBM Watson Machine Learning, you can import that model into your Watson Machine Learning service.
Here, to import a trained model means:
- Store the trained model in your Watson Machine Learning repository
- [Optional] Deploy the stored model in your Watson Machine Learning service
Supported import formats
Format to import | Interface options | Link to details |
---|---|---|
Predictive Model Markup Language (PMML) (.xml) file |
|
Importing a model saved in PMML format |
Spark MLlib model (saved using the save method of the model object) |
Python client | Importing a saved Spark MLlib model |
scikit-learn model (saved in a pickle file) |
|
Importing a saved scikit-learn model |
TensorFlow model (saved in a .pb file) |
|
Importing a saved TensorFlow model |
Keras model (saved in a .h5 file) |
|
Importing a saved Keras model |