I am new to Knime. I created a ML workflow in Knime. My next step is to export the learning algorithm to a Python pickle file. I have read through all the documentation, but I cannot find the steps to export my Knime ML node to a Python pickle file.
Is it possible to create a Python pickle file from a Knime ML node?
I created the ML model using a Knime Random Forest node. Would I need to build a new knime workflow using a Knime Python node? If so, is there any way to import the Random Forest settings from my original workflow?
I don’t think there is. You will have to find a format that can be used in Python. You can use knime python nodes to just run your favourite python ML library and use knime as an interface - or you can build models in knime that support pmml, mojo or maybe weka formats.
There might also be some specialised deep learning formats (think ONNX) that might be interchangeable between knime and python.
My goal is to create a regression model and pickle file. I have the data set from my original knime workflow. Using the original data set, I am trying to create a new model, using either pmml, mojo or maybe weka formats. I tried to use the H2O implementation, but I cannot find a way to connect my SQL data source to H2O.