hyperparameter

As nouns the difference between terms and hyperparameter

is that terms is while hyperparameter is (statistics) in bayesian statistics, a parameter of a prior (as distinguished from parameters of the model for the underlying system under analysis).

As nouns the difference between hyperparameter and milk

is that hyperparameter is (statistics) in bayesian statistics, a parameter of a prior (as distinguished from parameters of the model for the underlying system under analysis) while milk is (uncountable) a white liquid produced by the mammary glands of female mammals to nourish their young from certain animals, especially cows, it is a common food for humans as a beverage or used to produce various dairy products such as butter, cheese, and yogurt.

As a verb milk is

to express milk from (a mammal, especially a cow).

As nouns the difference between hyperprior and hyperparameter

is that hyperprior is a prior distribution on a hyperparameter while hyperparameter is in Bayesian statistics, a parameter of a prior (as distinguished from parameters of the model for the underlying system under analysis).

As nouns the difference between model and hyperparameter

is that model is template while hyperparameter is (statistics) in bayesian statistics, a parameter of a prior (as distinguished from parameters of the model for the underlying system under analysis).

As nouns the difference between prior and hyperparameter

is that prior is prior (high-ranking member of a monastery) while hyperparameter is (statistics) in bayesian statistics, a parameter of a prior (as distinguished from parameters of the model for the underlying system under analysis).

As nouns the difference between parameter and hyperparameter

is that parameter is a variable kept constant during an experiment, calculation or similar while hyperparameter is in Bayesian statistics, a parameter of a prior (as distinguished from parameters of the model for the underlying system under analysis).

As an adjective bayesian

is (probability|statistics) of or pertaining to , english mathematician.

As a noun hyperparameter is

(statistics) in bayesian statistics, a parameter of a prior (as distinguished from parameters of the model for the underlying system under analysis).

As a noun hyperparameter

is (statistics) in bayesian statistics, a parameter of a prior (as distinguished from parameters of the model for the underlying system under analysis).

As an adjective hyperparametric is

of or pertaining to hyperparameters.