DS2.ai Docs
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  • getting started
    • 1️⃣Install DS2.ai
    • 2️⃣Upload Data
    • 3️⃣Start Labeling Project
    • 5️⃣Start Training Project
    • #️⃣Collaborate with DS2.ai
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On this page
  • Training Supported Models
  • 1. Create a New Training Project
  • 2. Set up a Model Training Options
  • 3. Set up a Dataset Options
  • 4. Start a AI Model Training
  1. getting started

Start Training Project

PreviousStart Labeling ProjectNextCollaborate with DS2.ai

Last updated 2 years ago

Training Supported Models

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

1. Create a New Training Project

The dataset must be uploaded to create a project. (For more information, see .)

  1. Click Dataset in the top navigation bar.

  2. Mark the location check box to the left of the data you want to train in the data list.

  3. Click the Start AI Modeling button located at the top left of the data list.

Related Pages

2. Set up a Model Training Options

  1. Assign a GPU to use for training in the Training GPU option.

  2. Set the Training Method.

  3. Set the Preferred Method.

  4. Set the Target Variable.

Related Pages

3. Set up a Dataset Options

Only for training with CSV data.

  1. Check whether to use training by column of data and disable training data if any properties are to be excluded.

  2. 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.

Related Pages

4. Start a AI Model Training

  1. Click the START button on the right to start training the model with the options setted up.

  2. 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.

Related Pages

Set other options for model training. (For more information, see .).

Do you have any other questions?

5️⃣
Training > Start Training Project
Training > Training Project
Training > Training the Model > Model Training Options
Training > Training the Model > Model Training Options
Training > Training the Model > Model Training Options > Dataset Option
Training > Training the Model > Training with AutoML
Training > Training the Model > Training with Manual Setting
Training > Training the Model > Training with Generate Code
[email protected]
Dataset > Upload Data