trained Model in Python Notebook
arash_fard
Registered Posts: 1 ✭✭✭
I'm trying to call a model that was deployed on my flow in a Python Notebook.
The reason is to build a webapp.
to do so, I created a notebook where I generated new data and made a call to the model a follows :
m = dataiku.Model("4bJu8Aug")
my_predictor = m.get_predictor()
a new data is df.
my question is, which function I need to call to predict(df)?
Operating system used: windows
Answers
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Sarina Dataiker, Dataiku DSS Core Designer, Dataiku DSS Adv Designer, Registered Posts: 317 DataikerHi @arash_fard
,
You can get the clf object and then use clf.predictor() like so:model = dataiku.Model('9pPIVJO4') p = model.get_predictor() clf = p._clf clf.predict(X_test)
Just in case it's useful as well, if you are curious about a fuller example, you can click on Actions > Export to Jupyter notebook from your visual model to see more detailed steps.
Let me know if this is not what you are looking for.
Thank you,
Sarina