Verifying with Manual Setting
Last updated
Last updated
Manual setting is a training method for professionals who can tune more precisely to derive the desired model. The GUI provides the ability to set algorithms and hyperparameters for AI training.
You can predict grades such as A/B/F, Yes or No, or set results or discontinuous values such as specific brands.
It is a function that predicts continuous results in the form of numbers, and can be used in a way that represents the risk in a particular field as a % number, scores in a particular field, or predicts scores.
Set the Training Method to Manual Setting.
Set other options for model training. (For more information, see Verifying > Training the Model for Verification > Model Training Options for Verification.)
Set the algorithm library to use for training.
You can adjust the hyperparameter values directly. You can enter multiple values by pressing Enter
in each input window.
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