ML_modules.Template_Prior_NF.log_prior

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Summary

Compute the prior of the calpha templates.

Signature

def log_prior(self, calpha_array)

Input variables

Name	Type	Default	Description
calpha_array

Output variables

Return annotation	Docstring type	Description
None		Log of the prior density at the location of the template. For the probability of a template, use: np.exp(prior) \* (delta_calpha\*\*grid_ndims)

Docstring

Compute the prior of the calpha templates.
:param calpha_norm_array: array of calpha templates normalized
                          using bank.calpha_transformer.transform(calphas)
:return: Log of the prior density at the location of the template.
    For the probability of a template, use:
    np.exp(prior) * (delta_calpha**grid_ndims)