Spark ML Model Load¶
Type¶
ml-modelload
Class¶
fire.nodes.ml.NodeModelLoad
Fields¶
Name |
Title |
Description |
|---|---|---|
selectChampionModel |
Use Champion Model |
Uses Champion Model For Prediction. |
path |
Path To Load SparkML model |
|
fixedPath |
Static path |
Set this to true if you have saved the model to a static path(without UUID) while training the model. |
modelType |
Model Type |
Type of ML model to load |
Details¶
This node loads a previously saved Spark ML model into the workflow. This allows you to reuse trained models for scoring new data or further analysis.
Examples¶
Configuration:
Output Storage Level: Choose the storage level for the loaded model.
Path: Specify the path to the saved model file. You can use the “Browse File System” button to navigate and select the model file.
Static Path: Set this to true if the model path is a static path.
Model Type: Specify the type of the model (e.g., KMeans, LogisticRegression, RandomForest).
Let’s say you have trained a Spark ML model for customer churn prediction and want to save it ,
Path:data/CPG/Customer-Churn-Prediction/ModelName
Static Path:true
it would save the model at the given location with the model name,and can be used later.