SHOW SNOWFLAKE.ML.ANOMALY_DETECTION¶

Syntax¶

{
  SHOW SNOWFLAKE.ML.ANOMALY_DETECTION           |
  SHOW SNOWFLAKE.ML.ANOMALY_DETECTION INSTANCES
}
  [ LIKE <pattern> ]
  [ IN
      {
        ACCOUNT                  |

        DATABASE                 |
        DATABASE <database_name> |

        SCHEMA                   |
        SCHEMA <schema_name>     |
        <schema_name>
      }
   ]

Parameters¶

LIKE 'pattern'

Optionally filters the command output by object name. The filter uses case-insensitive pattern matching, with support for SQL wildcard characters (% and _).

For example, the following patterns return the same results:

... LIKE '%testing%' ...

... LIKE '%TESTING%' ...

. Default: No value (no filtering is applied to the output).

[ IN ... ]

Optionally specifies the scope of the command. Specify one of the following:

ACCOUNT

Returns records for the entire account.

DATABASE, . DATABASE db_name

Returns records for the current database in use or for a specified database (db_name).

If you specify DATABASE without db_name and no database is in use, the keyword has no effect on the output.

SCHEMA, . SCHEMA schema_name, . schema_name

Returns records for the current schema in use or a specified schema (schema_name).

SCHEMA is optional if a database is in use or if you specify the fully qualified schema_name (for example, db.schema).

If no database is in use, specifying SCHEMA has no effect on the output.

Default: Depends on whether the session currently has a database in use:

• Database: DATABASE is the default (that is, the command returns the objects you have privileges to view in the database).

• No database: ACCOUNT is the default (that is, the command returns the objects you have privileges to view in your account).

Usage notes¶

The order of results is not guaranteed.

Output¶

Model properties and metadata in the following columns:

Examples¶

For a representative example, see the anomaly detection example.