Data Science Lab
  • What is Data Science Lab?
  • Accessing the Data Science Lab Module
  • Data Science Lab Quick Start Flow
  • Project
    • Environments
    • Creating a Project
    • Project List
      • Keep Multiple Versions of a Project
      • Sharing a Project
      • Editing a Project
      • Activating a Project
      • Deactivating a Project
      • Deleting a Project
    • Tabs for a Data Science Lab Project
      • Tabs for TensorFlow and PyTorch Environment
        • Notebook
          • Ways to Access Notebook
            • Creating a Notebook
            • Uploading a Notebook
          • Notebook Page
            • Preview Notebook
            • Notebook Cells
              • Using a Code Cell
              • Using a Markdown Cell
            • Modifying a Notebook
            • Resource Utilization Graph
            • Notebook Taskbar
            • Notebook Operations
              • Datasets
                • Copy Path (for Sandbox files)
              • Secrets
              • Algorithms
              • Transforms
              • Models
                • Model Explainer
                • Registering & Unregistering a Model
                • Applying Filter
              • Predict
              • Artifacts
              • Files
              • Variable Explorer
              • Find and Replace
          • Notebook List Page
            • Export
              • Export to Pipeline
              • Export to GIT
            • Notebook Version Control
            • Sharing a Notebook
            • Editing a Notebook
            • Deleting a Notebook
        • Dataset
          • Adding Data Sets
            • Data Sets
            • Data Sandbox
          • Dataset List Page
            • Preview
            • Data Profile
            • Create Experiment
            • Data Preparation
            • Delete
        • Utility
        • Model
          • Model Explainer
          • Import Model
          • Export to GIT
          • Register a Model
          • Unregister A Model
          • Register a Model as an API Service
            • Register a Model as an API
            • Register an API Client
            • Pass Model Values in Postman
          • AutoML Models
        • Auto ML
          • Creating Experiments
            • Accessing the Create Experiment Option
              • Configure
              • Select Experiment Type
          • AutoML List Page
            • View Report
              • Details
              • Models
                • View Explanation
                  • Model Summary
                  • Model Interpretation
                    • Classification Model Explainer
                    • Regression Model Explainer
                  • Dataset Explainer
            • Delete
      • Tabs for PySpark Environment
        • Notebook
          • Ways to Access Notebook
            • Creating a Notebook
            • Uploading a Notebook
          • Notebook Page
            • Preview Notebook
            • Notebook Cells
              • Using a Code Cell
              • Using a Markdown Cell
            • Modifying a Notebook
            • Resource Utilization Graph
            • Notebook Taskbar
            • Notebook Operations
              • Datasets
                • Copy Path (for Sandbox files)
              • Secrets
              • Files
              • Variable Explorer
              • Find and Replace
          • Notebook List Page
            • Export
              • Export to Pipeline
              • Export to GIT
            • Notebook Version Control
            • Sharing a Notebook
            • Editing a Notebook
            • Deleting a Notebook
        • Dataset
          • Adding Data Sets
          • Dataset List Page
            • Preview
            • Data Profile
            • Data Preparation
            • Delete
        • Utility
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  1. Project
  2. Tabs for a Data Science Lab Project
  3. Tabs for TensorFlow and PyTorch Environment
  4. Dataset
  5. Dataset List Page

Create Experiment

This option helps the users to create an Auto ML experiment on the selected Dataset.

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Last updated 1 year ago

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A user can create a supervised learning (data science) experiment by choosing the Create Experiment option.

Please Note: The Create Experiment icon is provided on the Dataset List page under the Dataset tab of a Data Science Project.

  • Navigate to the Dataset List page.

  • Select a Dataset from the list.

  • Click the Create Experiment icon.

Please Note: An experiment gets initiated in two steps:

  • Configure: Enter Experiment name, Description, and Target column.

  • Select Experiment Type: Classification for discrete data and Regression for continuous data (numeric value).

  • The Configure tab opens (by default) while opening the Create Experiment form.

  • Provide the following information:

    • Provide a name for the experiment.

    • Provide Description (optional).

    • Select a Target Column.

    • Select a Data Preparation from the drop-down menu.

      • Use check-box to select a Data Preparation from the displayed drop-down.

  • Select columns need to be excluded from the experiment.

    • Use check-box to select a field to be excluded from the experiment.

  • The selected columns to be excluded from the model training process appear.

  • Click the Next option.

  • The user gets redirected to the Select Experiment Type tab.

  • Select a prediction model using the checkbox.

  • Based on the selected experiment type a validation notification message appears.

  • Click the Done option.

  • A notification message appears.

  • The user gets redirected to the Auto ML list page.

  • The newly created experiment gets added to the list.

Please Note: Refer the Data Science Lab Quick Start Flow page to get an overview of the Data Science Lab module in nutshell. to get redirected to the quick start flow page.

Click here
Selecting Data Preparation
Selecting Columns to be excluded from the model training
Configuring the Select Experiment Page