4 Use Templates to Collaborate with Users
In the Oracle Machine Learning Templates UI, you can collaborate with other users by sharing your work, publishing your work as reports, and by creating notebooks from templates. You can store your notebooks as templates, share notebooks, and provide sample templates to other users.
Note:
You can also collaborate with other Oracle Machine Learning Notebook users by providing access to your workspace. The authenticated user can then access the projects in your workspace, and access your notebooks. The access level depends on the permission type granted - Manager, Developer, or Viewer. For more information about collaboration among users, see Quickstart Tutorial: Collaborating in Oracle Machine Learning- Use the Personal Templates
Personal Templates lists the notebook templates that you have created. - Use the Shared Templates
In the Shared Templates, you can share notebook templates with all authenticated users the notebook templates you create from existing notebooks available in Templates. - Use the Example Templates
The Example Templates page lists the pre-populated Oracle Machine Learning notebook templates. You can view and use these templates to create your notebooks.
Use the Personal Templates
Personal Templates lists the notebook templates that you have created.
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View selected templates in read-only mode.
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Create new notebooks from selected templates.
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Edit selected templates.
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Share selected notebook templates in Shared Templates.
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Delete selected notebook templates.
- Create Notebooks from Templates
You can create new notebooks from an existing template, and store them in Personal Templates for later use. - Share Notebook Templates
You can share templates from Personal Templates. You can also share templates for editing. - Edit Notebook Templates Settings
You can modify the settings of an existing notebook template in Personal Templates.
Parent topic: Use Templates to Collaborate with Users
Create Notebooks from Templates
You can create new notebooks from an existing template, and store them in Personal Templates for later use.
Parent topic: Use the Personal Templates
Share Notebook Templates
You can share templates from Personal Templates. You can also share templates for editing.
Parent topic: Use the Personal Templates
Edit Notebook Templates Settings
You can modify the settings of an existing notebook template in Personal Templates.
Parent topic: Use the Personal Templates
Use the Shared Templates
In the Shared Templates, you can share notebook templates with all authenticated users the notebook templates you create from existing notebooks available in Templates.
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Like templates
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Create notebooks from templates
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View templates
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Template name
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Description
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Number of likes
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Number of creations
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Number of static views
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Create templates by clicking New Notebook
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Edit template settings by clicking Edit Settings
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Delete any selected template by clicking Delete
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Search templates by Name, Tag, Author
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Sort templates by Name, Date, Author, Liked, Viewed, Used
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View templates by clicking Show Liked Only or Show My Items Only
- Create Notebooks from Templates
You can create new notebooks from an existing template, and store them in Personal Templates for later use. - Edit Notebook Templates Settings
You can modify the settings of an existing notebook template in Personal Templates.
Parent topic: Use Templates to Collaborate with Users
Create Notebooks from Templates
You can create new notebooks from an existing template, and store them in Personal Templates for later use.
Parent topic: Use the Shared Templates
Edit Notebook Templates Settings
You can modify the settings of an existing notebook template in Personal Templates.
Parent topic: Use the Shared Templates
Use the Example Templates
The Example Templates page lists the pre-populated Oracle Machine Learning notebook templates. You can view and use these templates to create your notebooks.
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Template name
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Description
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Number of likes. Click Likes to mark it as liked.
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Number of static views
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Number of uses
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Search templates by Name, Tag, Author
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Sort templates by Name, Date, Author, Liked, Viewed, Used
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View templates that are liked by clicking Show Liked only
- Create a Notebook from the Example Templates
In Oracle Machine Learning Example Templates, you can create a notebook from the available templates.
Parent topic: Use Templates to Collaborate with Users
Create a Notebook from the Example Templates
In Oracle Machine Learning Example Templates, you can create a notebook from the available templates.
- Example Templates
Oracle Machine Learning Notebooks provide you the following notebook Example templates that are based on different machine learning algorithms. The Example templates are processed in Oracle Autonomous Database.
Parent topic: Use the Example Templates
Example Templates
Oracle Machine Learning Notebooks provide you the following notebook Example templates that are based on different machine learning algorithms. The Example templates are processed in Oracle Autonomous Database.
You can create your notebook based on any of these templates:
Figure 4-1 Example Templates

- Anomaly Detection: Use the Anomaly Detection Example Template notebook to detect anomalous records, customers or transactions in your data. This template uses the unsupervised learning algorithm 1-Class Support Vector Machine. The notebook template builds a 1-Class Support Vector Machine (SVM) model.
- Association Rules: Use the Association Rules Example Template notebook for market basket analysis of your data, or to detect co-occurring items, failures or events in your data. This template uses the apriori Association Rules model using the
SH
schema data (SH.SALES
). - Attribute Importance: Use the Attribute Importance Example Template notebook to identify key attributes that have maximum influence over the target attribute. The target attribute in the build data of a supervised model is the attribute that you want to predict. The template builds an Attribute Importance model using the
SH
schema data. - Classification Prediction Model: Use the Classification Prediction Model Example Template notebook for predicting customer behavior and similar predictions. The template builds and applies the classification algorithm Decision Tree to build a Classification model based on the relationships between the predictor values and the target values. The template uses the
SH
schema data. - Clustering: Use the Clustering Example Template notebook to identify natural clusters in your data. The notebook template uses the unsupervised learning k-Means algorithm on the
SH
schema data. - My First Notebook: Use the My First Notebook Example Template notebook for basic machine learning functions, data selection and data viewing. This template uses the
SH
schema data. - Regression: Use the Regression Example Template notebook to predict numerical values. This template uses multiple regression algorithms such as Generalized Linear Models (GLM).
- Statistical Function: Use the Statistical Function Example Template notebook for descriptive and comparative statistical functions. The notebook template uses
SH
schema data. - Time Series Forecasting: Use the Time Series Forecasting Example Template notebook to build time series models on your time series data for forecasting. This Example notebook is based on the Exponential Smoothing Algorithm. The sales forecasting example in this notebook is based on the
SH.SALES
data. All computations are done inside Oracle Autonomous Database.
Parent topic: Create a Notebook from the Example Templates