Featureset

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Featureset


A featureset is either a collection of data or a subset of the dataset.  The featureset is the set of data which eventually becomes the input for your model training. Feature Selection is an important step in the machine learning pipeline because it has the most impact on your prediction variable or output.

To create a featureset in Skyl:

  1. Select Machine Learning from the left menu

  2. Click on “Feature Set” to be directed to all previously created featuresets

  3. On the top right corner, select “Add Featureset”

  4. Fill in the name and description of the dataset

  5. From the drop-down menu, select the dataset from which the featureset will be selected

  6. On the bottom tab labeled “Feature Selection”, select the policy that will train the dataset. A policy can either extract explicitly from the dataset or split the dataset.

  7. Select the input and output features from the listed columns to configure the featureset according to your requirements

Please note that the output features are the value(s) which you want to predict using your model.

A policy defines how to select your featureset from the dataset.  You can either extract explicitly from the dataset or split the dataset.


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