Start Training Project
Last updated
Last updated
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
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
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