mesmer.distrib.Expression.evaluate_params

Expression.evaluate_params(coefficients_values, predictors_values, *, forced_shape=None)

Evaluates the parameters for the provided predictors and coefficients

Parameters:

• coefficients_values (dict | xr.Dataset(c_i) | list of values) – Coefficient arrays or scalars. Can have the following form:

  • dict(c_i = values | np.array())

  • xr.Dataset(c_i)

  • list of values

• predictors_values (dict | xr.Dataset) – Input arrays or scalars. Can be passed as

  • dict(pred_i = values or np.array())

  • xr.Dataset(pred_i)

• forced_shape (None | tuple or list of dimensions) – coefficients_values and predictors_values for transposition of the shape. Can include additional axes like ‘realization’.

Returns:

params (dict) – Realized parameters for the given expression, coefficients and covariates; to pass to the methods of Expression(...).distrib, e.g. expression.distrib.ppf(**params).

Warning

with xarray objects for coefficients_values and predictors_values, the outputs will have for shape first the one of the coefficient, then the one of the predictors –> trying to avoid this issue with ‘forced_shape’