For some objects from catboost library (like the python code export model - https://tech.yandex.com/catboost/doc/dg/concepts/python-reference_catboostclassifier_save_model-docpage/) predictions (https://tech.yandex.com/catboost/doc/dg/concepts/python-reference_apply_catboost_model-docpage/) will only give a so called raw score per record (parameter values is called "RawFormulaVal"). Other API functions also allow the result of a prediction to be a probability for the target class (https://tech.yandex.com/catboost/doc/dg/concepts/python-reference_catboostclassifier_predict-docpage/) - parameter value is called "Probability".
I would like to know
The raw score from the catboost prediction function with type "RawFormulaVal" are the log-odds (https://en.wikipedia.org/wiki/Logit). So if we apply the function "exp(score) / (1+ exp(score))" we get the probabilities as if we would have used the prediction formula with type "Probability".