Verifying with Manual Setting

What is Manual Setting?

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.

Models Trainable with Manual Setting

Structured Data Category Classification

You can predict grades such as A/B/F, Yes or No, or set results or discontinuous values such as specific brands.

Structured Data Regression

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.

Using the Manual Setting

1. Setting Up the Model Training Options for Verification

  1. Set the Training Method to Manual Setting.

  2. Set other options for model training. (For more information, see Verifying > Training the Model for Verification > Model Training Options for Verification.)

2. Setting Up the Algorithm Option

Set the algorithm library to use for training.

3. Setting Up the Hyperparameters

You can adjust the hyperparameter values directly. You can enter multiple values by pressing Enter in each input window.

Do you have any other questions? [email protected]

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