How to use Models built in Statistica in Amazon Sagemaker?
Article ID: KB0071909
Updated On:
| Products | Versions |
|---|---|
| Spotfire Statistica | 14.0 |
Description
Statistica users can build a predictive model in Statistica and then upload it to Amazon Sagemaker for prediction purposes.
The detailed steps to integrate Statistica with Amazon Sagemaker are as follows :
The detailed steps to integrate Statistica with Amazon Sagemaker are as follows :
Issue/Introduction
How to use Models built in Statistica in Amazon Sagemaker?
Environment
N/A
Resolution
Steps:
In Statistica :
1) Navigate to File > New > Workspace and launch the model building template of the workspace
2) Replace a dataset in the template with new data
3) Configure the remaining nodes as per the dataset
4) Run the mode and compare the results
In Statistica :
1) Navigate to File > New > Workspace and launch the model building template of the workspace
2) Replace a dataset in the template with new data
3) Configure the remaining nodes as per the dataset
4) Run the mode and compare the results
5) Save the PMML format of the best model in a . XML file
In AWS:
6) log in to AWS and go to Amazon Sagemaker.
7) In the console, create a notebook instance
8) Open Jupyter lab & upload the PMML model and new dataset
9) Run Python codes to make predictions
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