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SAS Model Manager 13.1 Administrator's Guide SAS Documentation correct bibliographic citation for this manual is as follows: SAS Institute Inc. 2014. SAS Model Manager 13.1: Administrator's Guide.

How to fill out sas model manager 13

How to fill out SAS Model Manager 13:

1. First, make sure you have access to SAS Model Manager 13. This software is designed for data scientists, analysts, and decision-makers who work with predictive models and want to efficiently manage the model lifecycle.
2. Once you have access, log in to SAS Model Manager 13 using your credentials. If you don't have an account, you may need to contact your organization's SAS administrator to get one set up.
3. Familiarize yourself with the different components and features of SAS Model Manager 13. This includes understanding the model repository, model life cycle, and other key functionalities available.
4. Begin by creating a project in SAS Model Manager 13. A project serves as an organizational container where you can group related models, data, and other project elements.
5. Once the project is created, you can start adding models to it. To do this, navigate to the model repository and select the "Add Model" option. Follow the prompts to specify the model details, such as the model type, purpose, and input/output variables.
6. After adding a model, you will need to upload the necessary data for that model. This can include both the training data used to build the model initially and any new data that you want to apply the model to later.
7. Once the model and data are set up, you can begin training the model using SAS Model Manager 13's built-in algorithms and analytics capabilities. This step involves selecting the appropriate training method, configuring the parameters, and running the training process.
8. After the model is trained, you can evaluate its performance using various metrics and validation techniques provided by SAS Model Manager 13. This helps ensure that the model is accurate and reliable before deploying it in production.
9. Once you are satisfied with the model's performance, you can deploy it for use in real-world scenarios. SAS Model Manager 13 provides options for deploying models as SAS scoring codes, web services, or RESTful APIs, depending on your organization's requirements.
10. Finally, continue monitoring and managing the deployed models using SAS Model Manager 13. This includes tracking their usage, performance, and any updates or retraining needs that may arise over time.

Who needs SAS Model Manager 13:

1. Data scientists: SAS Model Manager 13 is a valuable tool for data scientists who develop and manage predictive models. It provides a centralized platform to organize, train, evaluate, and deploy models efficiently.
2. Analysts: Analysts who work with predictive models and need to collaborate with data scientists can benefit from SAS Model Manager 13. It enables them to access and use models developed by data scientists in a controlled and standardized manner.
3. Decision-makers: Business leaders and decision-makers can leverage SAS Model Manager 13 to gain insights from predictive models, understand their impact on business outcomes, and make data-driven decisions. It provides a streamlined approach for integrating models into decision-making processes.
4. IT administrators: IT administrators play a crucial role in managing SAS Model Manager 13, ensuring a secure and scalable environment for model development and deployment. They are responsible for user access controls, system maintenance, and integration with other SAS tools or infrastructure.
5. Organizations with a model-centric workflow: Any organization that relies heavily on predictive modeling and wants to maintain a structured and standardized approach to model development and deployment can benefit from SAS Model Manager 13. It streamlines the entire model life cycle and promotes collaboration among different stakeholders.

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What is sas model manager 13?

SAS Model Manager 13 is a software application used for managing and deploying predictive models.

Who is required to file sas model manager 13?

Companies or organizations that use SAS Model Manager 13 for managing their predictive models are required to file.

How to fill out sas model manager 13?

To fill out SAS Model Manager 13, users need to input information about their predictive models and manage them through the software application.

What is the purpose of sas model manager 13?

The purpose of SAS Model Manager 13 is to help organizations efficiently manage and deploy their predictive models for decision-making.

What information must be reported on sas model manager 13?

Information such as details of predictive models, performance metrics, and deployment status must be reported on SAS Model Manager 13.