Offline Analysis
Easy data registration and visual confirmation
Prepare the data. (Data set creation)
In order to analyze the data and create the diagnosis model, it is necessary to register the data subject to analysis in MELSOFT MaiLab. A group of registered data is called a “data set”. By registering the data set, the data can be visualized in tables or graphs, and diagnosis models can be created.
Data registration can be performed by simple mouse operations.
The original file of data to be registered as a data set is called the “data source”.
Data sources which can be registered are CSV-format and TSV-format text files.
Automatic learning based on your objectives
Create diagnosis rules. (AI creation)
Perform pre-processing of the data set and create AI by performing learning according to analysis methods.
Interactive and easy. Automatic AI creation saves time and effort.
Automatic
MELSOFT MaiLab selects the optimum pre-processing and analysis methods based on the objectives and data set contents, and automatically creates the AI. Select this when you don’t know what analysis method to use for what you want to do (objectives).
Manual
In this method, you select the analysis methods yourself and create the AI.
Select this when the appropriate method for what you want to do (objectives) is clear.
Complete the AI.
Proceed to creating the task to perform real-time diagnosis while referring to the displayed scores and comments, When learning has been completed, AI creation will be completed.
You can manually change the completed AI to customize it to increase reliability.
Customizable AI
MELSOFT MaiLab not only automatically creates AI, it also lets you customize the created AI or create your own original AI.
You can construct AI models with higher accuracy.
You can customize the AI to increase its accuracy.
In MELSOFT MaiLab, each process of AI is performed in a block, and the AI processing flow is created by connecting the blocks. You can edit the AI flow prepared by the AutoML function to freely customize it or create an original AI from scratch.
Original processing can be performed with Python blocks.
MELSOFT MaiLab is also equipped with function expansion blocks that are useful for customizing learning models. You can also perform coding in Python, which is often used in data analysis. By performing customization, you can create learning models with higher accuracy.
