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
      • View
      • 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
            • Create
            • Import
              • Importing a Notebook
              • Pull from Git
          • Notebook Page
            • Preview Notebook
            • Notebook Cells
              • Using a Code Cell
              • Using a Markdown Cell
              • Using an Assist Cell
            • Renaming a Notebook
            • Resource Utilization Graph
            • Notebook Taskbar
            • Notebook Operations
              • Datasets
                • Copy Path (for Sandbox files)
              • Secrets
              • Algorithms
              • Transforms
              • Utility
              • Models
                • Model Explainer
                • Registering & Unregistering a Model
                • Model Filter
              • Artifacts
              • Files
              • Variable Explorer
              • Writers
              • Find and Replace
            • Notebook Actions
          • Notebook List
            • Notebook List Actions
              • Export
                • Export to Pipeline
                • Export to GIT
              • Register as Job
              • Notebook Version Control
              • Sharing 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
          • Pull from Git (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 AutoML Experiments
            • Creating an Experiment
          • AutoML List Page
            • View Report
              • Details
              • Models
                • View Explanation
                  • Model Summary
                  • Model Interpretation
                    • Classification Model Explainer
                    • Regression Model Explainer
                    • Forecasting Model Explainer
                  • Dataset Explainer
            • Delete
      • Tabs for PySpark Environment
        • Notebook
          • Ways to Access Notebook
            • Create
            • Import
              • Importing a Notebook
          • Notebook Page
            • Preview Notebook
            • Notebook Cells
              • Using a Code Cell
              • Using a Markdown Cell
              • Using an Assist Cell
            • Renaming a Notebook
            • Resource Utilization Graph
            • Notebook Taskbar
            • Notebook Operations
              • Datasets
                • Copy Path (for Sandbox files)
              • Secrets
              • Utility
              • Files
              • Variable Explorer
              • Writers
              • Find and Replace
            • Notebook Actions
          • Notebook List
            • Notebook List Actions
              • Export
                • Export to Pipeline
                • Export to GIT (on hold)
              • Register as Job
              • Notebook Version Control
              • Sharing a Notebook
              • Deleting a Notebook
        • Dataset
          • Adding Data Sets
            • Data Sets
            • Data Sandbox
          • Dataset List Page
            • Preview
            • Data Profile
            • Data Preparation
            • Delete
        • Utility
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On this page
  1. Project
  2. Tabs for a Data Science Lab Project
  3. Tabs for TensorFlow and PyTorch Environment
  4. Auto ML

AutoML List Page

This page displays the list of the created experiments.

PreviousCreating an ExperimentNextView Report

Last updated 1 year ago

  • Once the notification message appears to assure that a new experiment has been created.

  • The user gets redirected to the Auto ML tab. All the created Experiments will get listed.

  • The user can see the newly created Experiment at the top of the list.

  • The Status tab indicates various phases of the experiments/model training. The different phases for an experiment are as given-below:

    • The newly created experiment gets Started status. It is the first status when a new experiment gets created.

    • The ongoing process gets indicated as Running status. This status appears when the model training is in progress. The same is communicated through a notification message.

  • The completed process gets indicated as Completed status.

  • The failed experiments get indicated as Failed status.

  • The Actions get allotted to either Completed or Failed experiments in the list. The provided actions are:

    • Delete

    • View Report (It gets indicated in green color for the Completed Experiments and red color for the Failed Experiments.

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Please Note: Refer the page to get an overview of the Data Science Lab module in nutshell.

Data Science Lab Quick Start Flow