bsmschema.models.Transformations

object Transformations

Transformations describe modifications of variables to prepare a design matrix.

This field is indirect, with a Transformer name identifying an instruction set, and a sequence of Instructions.

A Transformer accepts data frames of sparse (onset, duration, amplitude) and dense (onset, sampling rate, values) variables along with the list of Instructions, and then return a new set of sparse and/or dense variables.

Examples

{
  "Transformer": "pybids-transforms-v1",
  "Instructions": [
    {
      "Name": "Factor",
      "Input": ["trial_type"]
    },
    {
      "Name": "Convolve",
      "Model": "spm",
      "Input": ["trial_type.cond1", "trial_type.cond2"]
    }
  ]
}

Config:

• extra: Extra = Extra.forbid

field Transformer: Literal['pybids-transforms-v1'] [Required]

Name of the specification of an instruction set.

field Instructions: List[Any] [Required]

Sequence of instructions to pass to an implementation of Transformer. The format of these instructions is determined by the Transformer.