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Yandex DataSphere
  • Getting started
  • Step-by-step instructions
    • All instructions
    • Project management
      • Creating a project
      • Choosing a Python version
      • Installing dependencies
      • Managing computing resources
      • Setting up consumption limits for a project
      • Setting up consumption limits for a folder
      • Resizing project storage
      • Changing a name or description
      • Deleting a notebook or project
    • Sharing a notebook
      • Publishing a notebook
      • Exporting a project
    • Working with a notebook
      • Running sample code in a notebook
      • Versioning. Working with checkpoints
      • Clearing the interpreter state
      • Working with Git
    • Managing Docker images
      • Docker image for a project
      • Docker image in a cell
    • Connecting to data sources
      • Connecting to a ClickHouse database
      • Connecting to a PostgreSQL database
      • Connecting to S3 storage
    • Setting up integration with Data Proc
    • Working with confidential data
      • Creating a secret
      • Referencing a secret
      • Updating a secret
      • Copying a secret
      • Destroying a secret
    • Launching distributed training
    • Deploying models
      • Creating a node from a Python code cell
      • Configuring the node environment
      • Queries to nodes
      • Deleting a node
  • Concepts
    • Overview
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    • List of pre-installed software
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    • Computing resource configurations
    • Integration with version and data control systems
    • Saving a state
    • Integration with Data Proc
    • Background operations
    • Datasets
    • Private data storage
    • Deploying models
    • Using TensorBoard in Yandex DataSphere
    • Distributed training
    • Cost management
    • Quotas and limits
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    • Getting started with Yandex DataSphere
    • Voice biometrics
    • Evaluating the quality of STT models
    • Labeling audio files
    • Classification of images in video frames
    • Web analytics with funnels and cohorts calculated based on Yandex Metrica data
  • API reference
    • Authentication in the API
    • gRPC
      • Overview
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        • Overview
        • validate
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        • Overview
        • get
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        • Overview
        • execute
      • Project
        • Overview
        • create
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        • get
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  • Questions and answers
  1. Questions and answers

General questions about DataSphere

Written by
Yandex Cloud

    Can I get logs of my operations with services?

    Yes, you can request log records about your resources from Yandex Cloud services. For more information, see Data requests.

    What do I do if I can't install a package in my project or don't have internet access?

    You might have connection issues if you added a subnet to your project that doesn't have internet access.

    If you need a subnet for your project, set up NAT to get internet access.

    You can disable a subnet if you don't need it for your project:

    1. In the management console, select the folder where the project is located.
    2. Select DataSphere.
    3. Click next to the project name and select Edit.
    4. Under Advanced settings, click the drop-down list in the Subnet field.
    5. Click the subnet name.
    6. Click Save.

    Can I close a tab with a notebook?

    Yes. If you close the notebook tab, current computations will continue running and the interpreter state, all variables, and computation results will be saved. You can continue working when you reopen your project.

    Why can't I simultaneously start multiple notebooks in my project?

    Running notebooks have access to the project storage and can edit files. To avoid conflicts between notebooks accessing the same files during computations, DataSphere prevents you from starting multiple notebooks at the same time.

    However, you can parallelize special background operations that have read-only access to storage.

    How do I specify the configuration type for my project?

    Project cells in DataSphere run with the minimum resource configuration: c1.4 (4 vCPUs). You can change configurations while using your notebook. The state of the interpreter, variables, and computation results will be saved.

    How do I resolve the error: The following variables can't be serialized?

    The error says that the system can't serialize the variable. It means that you can't move it when switching to another resource configuration. To avoid the error, run all your computations in the same configuration.

    If I delete a running cell, will computations stop?

    No, computations will continue even if you delete a cell from the notebook. Before deleting a cell, stop it. If you already deleted a running cell, stop the running computations by selecting File ⟶ Stop project and return to console.

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