Get Pipeline Inputs

[csala]

Add a get_inputs method which computes a relation of all the inputs that the pipeline requires.

The output should be a dictionary where each key is the variable name and the value is a sub dictionary specifying all the available information: type, description, default...

The process to compute the inputs should be:

• Start with an empty dictionary of inputs: inputs = dict()
• Iterate over the pipeline steps in reverse order and, for each step:
  • Get the list of produce outputs and safely pop them from the inputs dict: inputs.pop(output, None)
  • Get the list of produce inputs and update the inputs dict: inputs.update(produce_inputs)
  • If fit=True, also get the fit inputs and add them to the dict inputs.update(fit_inputs)
• At the end return the inputs dict.

The method should have 1 argument:

• fit: Boolean value that indicates whether to include the fit arguments or not. Defaults to True.