3.9 Descriptive Information

Each linear regression has an associated name, description, category, and tags. The following subsections provide a brief description for each concept. In Figure 3.106 , you can see the options the More info menu provides to edit them.

3.9.1 Linear Regression Name

Each linear regression has a name that is displayed in the linear regression list view and also on the top bar of the linear regression view. linear regression’s names are indexed to be used in searches. When you create a linear regression, it gets a default name. Change it using the More info menu option on the right corner of the linear regression view. The name of a linear regression cannot be longer than 256 characters. More than one linear regression can have the same name even within the same project, but they will always have different identifiers.

3.9.2 Description

Each linear regression also has a description that it is very useful for documenting your Machine Learning projects. linear regressions take the description of the datasets used to create them by default.

Descriptions can be written using plain text and also markdown. BigML provides a simple markdown editor that accepts a subset of markdown syntax. (See Figure 3.107 .)

Descriptions cannot be longer than 8192 characters and can use almost any character.

3.9.3 Category

A category, taken from the dataset used to create it, is associated with each linear regression. Categories are useful to classify linear regressions according to the domain which your data comes from. This is useful when you use BigML to solve problems across industries or multiple customers.

A linear regression category must be one of the 24 categories listed on Table 3.5 .

3.9.4 Tags

A linear regression can also have a number of tags associated with it that can help to retrieve it via the BigML API or to provide linear regressions with some extra information. A linear regression inherits the tags from the dataset used to create it. Each tag is limited to a maximum of 128 characters. Each linear regression can have up to 32 different tags.

3.9.5 Counters

For each linear regression, BigML also stores a number of counters to track the number of other resources that have been created using the linear regression as a starting point. In the linear regression view, you can see a menu option that displays counters for evaluations, single and batch predictions, and the fusions created. It also allows you to quickly jump to all the resources of one type. (See Figure 3.108 )