bsfit.nodes.models.utils.format_params

bsfit.nodes.models.utils.format_params(database: pandas.core.frame.DataFrame, init_p: dict, prior_shape: str, prior_mode: float, readout: str) → dict

set model and task parameters

Parameters

• database (pd.DataFrame) –

  dataset with columns:

  'stim_mean': the stimulus features (e.g., motion direction)
  'stim_std': the stimulus feature strengths
  'prior_mode': the mode of prior
  'prior_std': the std of the prior
  'prior_shape': the prior function (e.g., "vonMisesPrior")
  'estimate' (optional): the estimates
  

• init_p (dict) – the model initial parameters

• prior_shape (str) – the prior function (e.g., “vonMisesPrior”)

• prior_mode (float) – the mode of the prior

• readout (str) – the decision process (“map”)

Returns

the formatted model and task parameters

Return type

(dict)