Configuring ML Core Accounts


You must configure ML Core accounts to enable ML Core Snaps to connect to ML Core instances.

See Accounts to learn more about SnapLogic Accounts.

Snap Compatibility 

Configuring ML Core Accounts

You can configure ML Core accounts in SnapLogic using either the Designer or Manager.

Using SnapLogic Designer

  1. Log in to Snaplogic to open the Designer.

  2. Drag an ML Core Snap to the canvas.

  3. Click the Snap to open the Snap's settings.

  4. Click the Account tab.

  5. Select the account that you want to use from the Account Reference drop-down list, or click Add Account to create a new account.

    The account types that are compatible with the selected Snap appear under Account Type. For details about Snaps and compatible Account types, see Snap Compatibility.

  6. Select the location where you want to create the account, and then select the account type.

  7. Click Continue to open the account Settings.

  8. Enter the required account details. For detailed guidance on how to provide information associated with each account type, use the following links:

  9. Optionally, enter additional information on this account in the Notes field of the Info tab.

  10. Click Validate to verify the account information, if applicable.

  11. Click Apply to complete configuring the account.

Using SnapLogic Manager

  1. Log in to Snaplogic. Click the Manager tab.

  2. Navigate to the project with which you want to associate the new account. Click CreateAccount ML Core, followed by the appropriate account type.

    The Create Account page associated with the selected account type appears.

  3. In Settings, enter the required account details. For detailed guidance on how to provide information associated with each account type, use the following links:
  4. Optionally, enter additional information about this account in the Notes field of the Info tab.

  5. Click Validate to verify the account information, if applicable.

  6. Click Apply to complete configuring the ML Core account.

Avoid updating the account credentials while Pipelines using this account are being executed. This may lead to unexpected results, including locking your ML Core account.

Snap Pack History

 Click to view/expand

4.27 (427patches13948)

4.27 (main12833)

  • No updates made.

4.26 (main11181)

  • No updates made.

4.25 (main9554)

  • No updates made.

4.24 (main8556)

  • No updates made.

4.23 (main7430)

  • No updates made.

4.22 (main6403)

  • No updates made.

4.21 (snapsmrc542)

  • No updates made.

4.20 Patch mlcore8770

  • Adds the log4j dependency to the ML Core Snaps to resolve the "Could not initialize class org.apache.log4j.LogManager" error. 

4.20 (snapsmrc535)

  • No updates made.

4.19 (snapsmrc528)

  • No updates made.

4.18 (snapsmrc523)

  • No updates made.

4.17 Patch ALL7402

  • Pushed automatic rebuild of the latest version of each Snap Pack to SnapLogic UAT and Elastic servers.

4.17 (snapsmrc515)

  • New Snap: Introducing the Clustering Snap that performs exploratory data analysis to find hidden patterns or groupings in data.
  • Enhanced the AutoML Snap. You can now:
    • Select algorithms to derive the top models.
    • Input the best model generated by another AutoML Snap from a previous execution.
    • View an interactive HTML report that contains statistics of up to 10 models.
  • Added the Snap Execution field to all Standard-mode Snaps. In some Snaps, this field replaces the existing Execute during preview check box.

4.16 (snapsmrc508)

  • New Snap: Introducing the AutoML Snap, which lets you automate the process of selecting machine learning algorithms and tuning hyperparameters. This Snap gives the best predictive model within the specified time limit.

4.15 (snapsmrc500)

  • New Snap Pack. Perform data modeling operations such as model training, cross-validation, and model-based predictions. Additionally, you can also execute Python scripts remotely. Snaps in this Snap Pack are: 
    • Cross Validator -- Classification
    • Cross Validator -- Regression
    • Predictor -- Classification
    • Predictor -- Regression
    • Remote Python Script
    • Trainer -- Classification
    • Trainer -- Regression
  • Releases the Remote Python Executor account and the Remote Python Executor Dynamic account for the Remote Python Script Snap.