A CheckSet specifies a collection of Check objects run against the same dataset. It is a higher level construct to make scheduling and running multiple checks easier.

A CheckSet in UpTrain takes three arguments:

  1. source - The location of the file along with the corresponding Reader Operator.
  2. preprocessors - The list of operators to run on the input data before running the checks.
  3. checks - The set of checks to be run on the input data after preprocessing.

The CheckSet class implements two methods, which are to be run in order:

  1. setup() - This method performs the setup before the run() method is called. You can pass a Settings object with the required configurations.
  2. run() - Reads the data and runs all the Checks

A CheckSet object can optionally be serialized and run remotely.

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