bsfit.nodes.models.utils.get_fit_variables¶

bsfit.nodes.models.utils.get_fit_variables(fit_p: numpy.ndarray, params: dict, stim_mean: pandas.core.series.Series, **kwargs: dict) → tuple[source]¶

get the fit intermediate variable

Parameters

fit_p (np.ndarray) – model fit parameters

params (dict) –

all the fixed parameters:

params: {
    "task": {
        "fixed_params": the task fixed parameters
        },
    "model": {
        "fixed_params": the model fixed parameters
        "init_params": the model initial parameters
    }

stim_mean (pd.Series) – stimulus feature (e.g., motion direction)

Kwargs:: data (pd.Series): the estimates that will be fit

Returns: -log(likelihood) of data and the fit variables
Return type: (float, dict)