Custom Notebook

The Notebook feature in the ConverSight platform empowers users to execute tasks, flows and perform complex operations. By default, ConverSight provides the Standard ConverSight Notebook and the Machine Learning Notebook. Users can create Custom Notebooks by integrating a custom package or a ConverSight verified package into the Base Standard ConverSight Notebook, resulting in the creation of a custom Standard ConverSight Notebook. Likewise, incorporating custom packages into the Machine Learning Notebook facilitates the creation of a customized Machine Learning Notebook, catering to specific requirements.

Creation of Custom Notebook

This is an all-inclusive manual that provides guidance on how to create Custom Notebooks.

Step 1: To access Notebook in the ConverSight platform, navigate to the Configuration section and choose Notebook under AI Workbench.

Accessing Notebook

Step 2: On the Notebook Configuration page, simply click on the Create Notebook button to create a Custom Notebook.

Creating Custom Notebook

Step 3: In the Base Notebooks tab, Clicking the Plus icon reveals a list of packages, its descriptions and versions available in the Base Notebook.

Base Notebook tab

Packages of Standard Conversight Notebook

Step 4: Select the Create New Notebook icon located under the Action column of the desired Base Notebook.

Create New Notebook

Step 5: Specify the requirements for your Custom Notebook.

Notebook Requirements

Requirements	Description
Name	Provide a name for your custom Notebook.
Description	Offering a description enhances comprehension and provides additional details about the notebook. Providing a description is optional.
Python Version	By default, the Python Version is set to the latest version.
Notebook Type	Presently, ConverSight provides Notebooks with CPU capability. Additional types of Notebooks may be introduced in the future.
Instance Type	Depending on memory space needs and instane storage needs, users can opt for different instance types categorized as small, medium, large or extra-large.
Verified Packages	The Verified Packages dropdown includes all packages approved by ConverSight, ensuring their suitability for use in notebooks.
Add Custom Packages	You have the option to include either the latest version of a package or a specific version by specifying the version number.It is important to note that Downgrading the packages in the Notebook is not permissible. Only upgrading the existing packages to the latest version is allowed. For instance, installing Numpy without specifying a version will install the latest version. Alternatively, specifying Numpy 1.24.2 will install the exact specified version.

NOTE
Adding at least one verified package or one custom package is a mandatory requirement to create a custom notebook.

Step 6: Once you have provided the necessary specifications, click on the Submit button.

Creation of Custom Notebook

Step 7: After clicking the Submit button, the new Notebook with your specified configurations will be saved successfully.

New Notebook with custom configuration

By following these simple steps, you can easily create Custom Notebooks for your specific needs.

Show Logs

To access the creation logs of a notebook, click on the Settings icon in the Action column for the specific notebook and then select the Show Logs option.

Show Logs

Logs

Initiation of Notebook

To initiate the Notebook, you can simply click on icon located in the Action field of the associated Notebook.

Start a Notebook

Edit

You can Edit the configurations of your Custom Notebook by clicking on the Edit icon of the associated notebook.

Editing a Notebook

Delete

You can delete your Custom Notebook by clicking on the Delete icon that corresponds to the specific Notebook.

Deleting a Notebook

NOTE
Editing or deleting the default Standard ConverSight Notebook and Machine Learning Notebook is restricted.