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.
Select the location where you want to create the account, and then select the account type.
Click Continue to open the account Settings.
Enter the required account details. For detailed guidance on how to provide information associated with each account type, use the following links:
Optionally, enter additional information on this account in the Notes field of the Info tab.
Click Validate to verify the account information, if applicable.
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.
In Settings, enter the required account details. For detailed guidance on how to provide information associated with each account type, use the following links:
Optionally, enter additional information about this account in the Notes field of the Info tab.
Click Validate to verify the account information, if applicable.
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 Version
Date
Type
Updates
May 2024
main26341
Stable
Updated and certified against the current SnapLogic Platform release.
February 2024
main25112
Stable
Updated and certified against the current SnapLogic Platform release.
November 2023
main23721
Nov 8, 2023
Stable
Updated and certified against the current SnapLogic Platform release.
August 2023
main22460
Aug 16, 2023
Stable
Updated and certified against the current SnapLogic Platform release.
Upgraded with the latest SnapLogic Platform release.
4.26
main11181
Stable
Upgraded with the latest SnapLogic Platform release.
4.25
main9554
Stable
Upgraded with the latest SnapLogic Platform release.
4.24
main8556
Stable
Upgraded with the latest SnapLogic Platform release.
4.23
main7430
Stable
Upgraded with the latest SnapLogic Platform release.
4.22
main6403
Stable
Upgraded with the latest SnapLogic Platform release.
4.21
snapsmrc542
Stable
Upgraded with the latest SnapLogic Platform release.
4.20 Patch
mlcore8770
Stable
Adds the log4j dependency to the ML Core Snaps to resolve the "Could not initialize class org.apache.log4j.LogManager" error.
4.20
snapsmrc535
Stable
Upgraded with the latest SnapLogic Platform release.
4.19
snapsmrc528
Stable
Upgraded with the latest SnapLogic Platform release.
4.18
snapsmrc523
Stable
Upgraded with the latest SnapLogic Platform release.
4.17 Patch
ALL7402
Latest
Pushed automatic rebuild of the latest version of each Snap Pack to SnapLogic UAT and Elastic servers.
4.17
snapsmrc515
Latest
New Snap: Introducing the Clustering Snap thatperforms 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
Stable
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
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.