Set up the flowchart
In this part, we are going to remove unrequired elements and complete the flowchart by adding the remaining components of our model: the processing pipeline and the initial dataset .
Last updated
In this part, we are going to remove unrequired elements and complete the flowchart by adding the remaining components of our model: the processing pipeline and the initial dataset .
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As we already processed our dataset , the dataframe loader is not needed anymore so we may delete it. To delete a module, click on the module menu (the three dots on its right) >> Then on Delete. An alert box asks for confirmation>> Click on OK.
All other flowchart modules being already set into place, let us attach in the two last components .
1. From the right sidebar, click on the processing pipeline icon. A list of processing pipelines shows. Look for the one we have just made earlier and drag and drop it into the workflow .
2. Then , on top of this latter, let us place the dirty dataset we initially uploaded (remember the iris dirty dataset?)
Getting back to the main menu, click on the Dashboard icon . Then from the right panel, find and click the Dataset icon (second from the left). Look for our initial dataset iris_dataset_dirty.
Once found, connect this initial dataset on top of the processing pipeline to apply the processing mechanism onto it.
As always, a dashed line shows the path for connecting the output of a module to the input of another, which definitely makes the task effortless.
3. Finally, connect the whole set to the feature selector.
