ML Data Preparation Snap Pack

In this article

ML Data Preparation Snap Pack is a part of SnapLogic Data Science (Machine Learning) Snaps. The Snaps in this Snap Pack are useful in preparing the data upon which machine learning operations are to be performed. Use Snaps in this Snap Pack to:

  • Convert categorical data to numeric and vice versa.
  • Extract datetime components. 
  • Scale/transform data.
  • Convert datatypes.
  • Generate samples from a dataset.
  • Randomly shuffle the order of documents in a dataset.
  • Handle missing values in a dataset.
  • Perform Principal Component Analysis (PCA) on an input document.
  • Create features out of multiple datasets that share a one-to-one or one-to-many relationship with each other.
  • Identify matched records across datasets.
  • Mask sensitive information in your dataset before exporting the dataset for analytics.

Snap Pack History

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Release Snap Pack VersionDateType  Updates
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 2023433patches21572 Latest

The Deduplicate Snap now manages memory efficiently and eliminates out-of-memory crashes using the following fields:

  • Minimum memory (MB)

  • Minimum free disk space (MB)

May 2023433patches21247 Latest

Fixed an issue with the Match Snap where a null pointer exception was thrown when the second input view had fewer records than the first.

May 2023

main21015 

Stable

Upgraded with the latest SnapLogic Platform release.

February 2023main19844 StableUpgraded with the latest SnapLogic Platform release.
December 2022431patches19268 Latest

The Deduplicate Snap now ignores fields with empty strings and whitespaces as no data.

November 2022main18944
 
Stable

Upgraded with the latest SnapLogic Platform release.

August 2022main17386
 
Stable

Upgraded with the latest SnapLogic Platform release.

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

Enhanced the Type Converter Snap with the Fail safe upon execution checkbox. Select this checkbox to enable the Snap to convert data with valid data types, while ignoring invalid data types.

4.27427patches13730

Enhanced the Type Converter Snap with the Fail safe upon execution checkbox. Select this checkbox to enable the Snap to ignore invalid data types and convert data with valid data types.

4.27427patches13948
 
Latest

Fixed an issue with the Principal Component Analysis Snap, 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.
4.25425patches10994
 

Fixed an issue when the Deduplicate Snap where the Snap breaks when running on a locale that does not format decimals with Period (.) character. 

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
 
Stable
  • Introduces the Mask Snap that enables you to hide sensitive information in your dataset before exporting the dataset for analytics or writing the dataset to a target file.
  • Enhances the Match Snap to add a new field, Match all, which matches one record from the first input with multiple records in the second input. Also, enhances the Comparator field in the Snap by adding one more option, Exact, which identifies and classifies a match as either an exact match or not a match at all.
  • Enhances the Deduplicate Snap to add a new field, Group ID, which includes the Group ID for each record in the output. Also, enhances the Comparator field in the Snap by adding one more option, Exact, which identifies and classifies a match as either an exact match or not a match at all.
  • Enhances the Sample Snap by adding a second output view which displays data that is not in the first output. Also, a new algorithm type, Linear Split, which enables you to split the dataset based on the pass-through percentage.
4.20 Patchmldatapreparation8771
 
Latest

Removes the unused jcc-optional dependency from the ML Data Preparation Snap Pack.

4.20snapsmrc535
 
StableUpgraded with the latest SnapLogic Platform release.
4.19snapsmrc528
 
Stable

New Snap: Introducing the Deduplicate Snap. Use this Snap to remove duplicate records from input documents. When you use multiple matching criteria to deduplicate your data, it is evaluated using each criterion separately, and then aggregated to give the final result.

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 Feature Synthesis Snap, which automatically creates features out of multiple datasets that share a one-to-one or one-to-many relationship with each other.
  • New Snap: Introducing the Match Snap, which enables you to automatically identify matched records across datasets that do not have a common key field.
  • 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
 
Stable

Added a new Snap, Principal Component Analysis, which enables you to perform principal component analysis (PCA) on numeric fields (columns) to reduce dimensions of the dataset.

4.15snapsmrc500
 
Stable
  • New Snap Pack. Perform preparatory operations on datasets such as data type transformation, data cleanup, sampling, shuffling, and scaling. Snaps in this Snap Pack are: 
    • Categorical to Numeric
    • Clean Missing Values
    • Date Time Extractor
    • Numeric to Categorical
    • Sample
    • Scale
    • Shuffle
    • Type Converter