ML Core Snap Pack is a part of the SnapLogic Data Science (Machine Learning) Snaps. The Snaps in this Snap Pack are useful in performing core machine learning operations such as:
- Perform K-fold Cross Validation for classification and regression datasets.
- Train models using state-of-the-art machine learning algorithms.
- Apply models to predict unlabeled data.
- Execute Python scripts and take advantage of machine learning libraries in Python.
- Automate the process of exploring and tuning machine learning models for a given dataset within the resource limit.
Panel | ||||||
---|---|---|---|---|---|---|
| ||||||
In this Section
|
Excerpt | |||||||
---|---|---|---|---|---|---|---|
Snap Pack History Panel | | borderStyle | none
Expand | ||
---|---|---|
| ||
4.20 (snapsmrc535)
4.19 (snapsmrc528)
4.18 (snapsmrc523)
4.17 Patch ALL7402
4.17 (snapsmrc515)
4.16 (snapsmrc508)
4.15 (snapsmrc500)
|