Datalake AutoML

When clicking Add, fields to be filled in are displayed, they are:

• Name*: Name that will be displayed in the model registration tab;
• Description: Model description;
• Predictor type*: Data type for creating the model (Tabulated, Text, Image, Time series). Currently, only the “Tabulated” data type is supported;
• Situation: It will be automatically populated by the tool according to the model's status, whether Completed, Training or Failed;
• Target Column Name*: Name of the target column for prediction. Based on the CSV data that the tool will be made available;
• ID Column Name: Name of the index column, if it exists.

When you click on save, the Training tab will open where you can insert an SSV data file. After inserting the file, click on Upload File.

The tab will be updated automatically, so you can clickStart Training.

When the model training process is processed, the user receives a notification within the platform informing the status of the model.

If the process is completed successfully, you will be able to access the next step.

After completing the process, the user will have access to 3 new tabs, they are:View Metrics,Perform Prediction It isSchedule Prediction.

• View Metrics: View model performance metrics, accuracy, precision, among others;
• Perform Prediction: Enter information in JSON format of the input data that the model expects to receive. When you click on start, an immediate result will be displayed, but it will not be saved;
• Schedule Prediction: To make a prediction with a larger volume of data, it is possible to add a CSV for testing by uploading a file.

After scheduling a prediction, when the process is completed, the user will be notified, allowing them to proceed to the next tabPredictions.