Configuring ML Core Accounts

Overview

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 Create > Account > 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
Release Snap Pack VersionDateType  Updates

August 2024

main27765

 

Stable

Upgraded the org.json.json library from v20090211 to v20240303, which is fully backward compatible.

May 2024main26341 StableUpdated and certified against the current SnapLogic Platform release.
February 2024main25112 StableUpdated and certified against the current SnapLogic Platform release.
November 2023main23721Nov 8, 2023StableUpdated and certified against the current SnapLogic Platform release.

August 2023

main22460

Aug 16, 2023

Stable

Updated and certified against the current SnapLogic Platform release.

May 2023433patches21854 Latest

Fixed an issue with the Cross Validator (Classification) Snap where the native Windows DLL caused the Snaplex to stall

May 2023433patches21644 Latest

Improved an error message in the Remote Python Script Snap to explain the reason and resolution for the case where a Python script has errors.

May 2023

main21015 

Stable

Upgraded with the latest SnapLogic Platform release.

February 2023main19844 StableUpgraded with the latest SnapLogic Platform release.
November 2022main18944 Stable

Upgraded with the latest SnapLogic Platform release.

August 2022 main17386 Stable

Upgraded with the latest SnapLogic Platform release.

4.29429patches16809 Latest

Removed the log4j dependency from the ML Core Snaps due to security vulnerabilities.

4.29main15993 StableUpgraded with the latest SnapLogic Platform release.
4.28main14627 Stable

Upgraded with the latest SnapLogic Platform release.

4.27427patches13948 Latest

Fixed an issue with the following Snaps, where a deadlock occurred when data is loaded from both the input views.

4.27main12833 StableUpgraded with the latest SnapLogic Platform release.
4.26main11181 StableUpgraded with the latest SnapLogic Platform release.
4.25main9554 StableUpgraded with the latest SnapLogic Platform release.
4.24main8556 StableUpgraded with the latest SnapLogic Platform release.
4.23main7430 StableUpgraded with the latest SnapLogic Platform release.
4.22main6403 StableUpgraded with the latest SnapLogic Platform release.
4.21snapsmrc542 StableUpgraded with the latest SnapLogic Platform release.
4.20 Patchmlcore8770 Stable

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

4.20snapsmrc535 StableUpgraded with the latest SnapLogic Platform release.
4.19snapsmrc528 StableUpgraded with the latest SnapLogic Platform release.
4.18snapsmrc523 StableUpgraded with the latest SnapLogic Platform release.
4.17 PatchALL7402 Latest

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

4.17snapsmrc515
 
Latest
  • 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.
4.16snapsmrc508
 
StableNew 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.
4.15snapsmrc500
 
Stable
  • 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.