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As the initial starting point for any machine learning project, the Specification articulates what your problem is, why it needs to be solved, and what solutions need to be implemented in order to solve it. The Specification also denotes the intended Classes and, if necessary, Subclasses. The Specification applies to the entire Project and, by extension, any datasets that are imported into the selected Project. If you want to change the Specification after it has been locked, you will need to create a new Project.

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The Specification tab also contains our Autopilot feature.

On this page you will find:

How to Select for Multi-Label Classification

Jaxon defaults to Single-Label Classification, but can easily shift to Multi-Label Classification on the Specification tab.

Using the Task Dropdown, select whether the dataset is a Single-Label Classification or Multi-Label Classification

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Task Dropdown Descriptions

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How to Manually Add a Specification

Classes can be added manually or automatically populated from a dataset already in the Jaxon Platform. To manually define Classes, select the text box underneath Classes.
Type in a Class, and click the ✓ or press the return key ****to save that Class and add additional Classes. It is also possible to add descriptions to classes. Click the trash can to delete a Class. Use the Clear all Classes button with care - it does just as it says!

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Groups can be created in order to organize and group Subclasses, typically when there are an unwieldy number of Classes. These Groups are for visual convenience only and allow users to collapse Classes, but Groups do not correspond to any particular Class themselves.

To create Groups, type the Group name in the text box and then click the < to see text boxes for that Group’s Subclasses.

From there, add Subclasses as you would Classes

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How to Automatically Populate a Specification from a Dataset

Classes can be added manually or automatically populated from a dataset already in the Jaxon Platform. To automatically populate classes from a dataset already in the Jaxon Platform, the dataset must:

already be imported into the Jaxon Platform AND
Have at least one Features column defined AND
Have at least one Labels column defined and labeled with the target Classes
If all of these conditions are met, select the dataset you wish to import the labels from in the Import From Dataset dropdown. Any manually-added classes must be cleared before this option is available.

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Jaxon will then import the classes and the Specification will save automatically. Adjustments to the imported Specification can be made manually as desired.

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How to Adjust the Beta Value

The F1 score (corresponding to Beta = 1) is used to strike a balance between precision and recall. For some cases, rather than optimizing overall accuracy, it is more important to minimize false positives (beta < 1) or minimize false negatives (beta > 1).

On the right side of the screen, you will see an option to adjust the Beta value

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The default setting is 1 (balanced), but you can also select 0.5 or 2

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How to Lock the Specification

When the Specification is satisfactory, it must be locked in order to move through the rest of the Jaxon Platform. Once it has been locked, the rest of the tabs will become available. The number of examples and labeled examples will also be calculated on the Datasets tab once the Specification is locked.

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Click the Lock button to the top left of the screen

Select OK when the scary warning box appears (but only if you’re certain!)

A locked Specification is indicated by a 🔒 symbol on the Projects tab.

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