Collection Structure
General Structure
On start-up, the MindsDB project consists of 1 collection: models
.
You can verify it by running the following MQL commands:
-
First, switch to the
mindsdb
project.Here is the doc page on the
PROJECT
entity to learn more. -
Then, query for the available collections.
The models
Collection
The models
collection stores information about the models, such as name, version, status, accuracy, and more.
Where:
Name | Description |
---|---|
NAME | The name of the model. |
ENGINE | The engine used to create the model. |
PROJECT | The project where the model resides. |
VERSION | The version of the model. |
STATUS | Training status (generating , or training , or complete , or error ). |
ACCURACY | The model accuracy (0.999 is a sample accuracy value). |
PREDICT | The name of the target column to be predicted. |
UPDATE_STATUS | Training update status (up_to_date , or updating , or available ). |
MINDSDB_VERSION | The MindsDB version used while training (22.8.2.1 is a sample version value). |
ERROR | Error message stores a value in case of an error, otherwise, it is null. |
SELECT_DATA_QUERY | It is a query that selects input data. |
TRAINING_OPTIONS | Additional training parameters. |
TAG | The models can have tags to classify them into categories. |
Check out this doc page to learn how to create, view, and drop models. Check out this doc page to learn how to work with models’ versions.
To view all databases/projects, use the command below.
Please note that mindsdb
is the default project. Here is the doc page on the PROJECT
entity to learn more.
Please follow the MindsDB Information Schema doc page to learn more.
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