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Using the Model

Various performance indicators can be checked for AI models that have been learned, and models can be tested directly through individual predictions and batch predictions, and various insights can be obtained by providing analysis functions and eXpliable AI (XAI).

AI Model List

Model Name

This means the name of the AI model.

Status

View the current status of model training.
  • Pending
  • In progress
  • Completed
  • Error

Details

Detailed model performance indicators can be found, including importance by data feature based on explainable artificial intelligence (XAI) of the corresponding AI model.

Single Prediction

You can enter your own input values and view the results immediately. This is useful for primary validation of the performance of your model. You can enter your own input values and view the results immediately. This is useful for primary validation of the performance of your model.

Collective Prediction

You can view a number of results based on a number of inputs, and upload a CSV or ZIP file. It is useful for precision verification of AI models through Test Data.

Image Prediction

Predictive results of the generated model for a single data input can be found directly within DS2.ai.

Start Analysis

Deploy

The MLOps pipeline can be constructed by connecting the trained AI model with the deployment project.
Do you have any other questions? [email protected]​