5️⃣Start Training Project
Last updated
Last updated
| Algorithm Name | AI Models |
|---|---|
ANN-Keras | Classification, Regression |
ANN-PyTorch | Classification, Regression |
ANN-FastAI | Classification, Regression |
XGBoost | Classification, Regression |
RandomForest | Classification, Regression |
GaussianNB | Classification |
IsolationForest | Classification |
GradientBoosting | Classification, Regression |
SGD | Classification, Regression |
Deeplearning | Classification, Regression, Natural Language, Image Classification, Object Detection |
The dataset must be uploaded to create a project. (For more information, see Dataset > Upload Data.)
Click Dataset in the top navigation bar.
Mark the location check box to the left of the data you want to train in the data list.
Click the Start AI Modeling button located at the top left of the data list.
Training > Start Training Project
Assign a GPU to use for training in the Training GPU option.
Set the Training Method.
Set the Preferred Method.
Set the Target Variable.
Set other options for model training. (For more information, see Training > Training the Model > Model Training Options.).
Training > Training the Model > Model Training Options
Only for training with CSV data.
Check whether to use training by column of data and disable training data if any properties are to be excluded.
If you need data preprocessing by column of data, display the preprocessing check box for that property and click the Preprocessing button at the top of the data information table.
Training > Training the Model > Model Training Options > Dataset Option
Click the START button on the right to start training the model with the options setted up.
E-mail and notification will be sent when the initial model training is complete, and e-mail and notification will be sent once more when all models in the project have completed training.
Training > Training the Model > Training with AutoML
Training > Training the Model > Training with Manual Setting
Training > Training the Model > Training with Generate Code
Do you have any other questions? [email protected]
