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 .

1. Deleting the dataframe loader

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.

Deleting unused modules is easy.

2. Adding the processing pipeline and the dirty dataset

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 $(processingpipeline+dirty dataset)$ to the feature selector.

Adding the pipeline and the initial dataset.