ZCA_OML_JOB_STATISTICS
This table stores multiple run versions of a Model to capture metrics.
Details
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Schema: FUSION
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Object owner: ZCA
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Object type: TABLE
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Tablespace: Default
Primary Key
| Name | Columns |
|---|---|
|
zca_oml_job_statistics_PK |
JOB_RUN_ID |
Columns
| Name | Datatype | Length | Precision | Not-null | Comments |
|---|---|---|---|---|---|
| JOB_RUN_ID | NUMBER | 18 | Yes | This is the Primary Key of the Table. | |
| JOB_ID | NUMBER | 18 | Yes | This is the Foreign Key to table zca_oml_jobs | |
| REQUEST_ID | NUMBER | 18 | Enterprise Service Scheduler: indicates the request ID of the job that created or last updated the row. | ||
| JOB_DEFINITION_NAME | VARCHAR2 | 100 | Enterprise Service Scheduler: indicates the name of the job that created or last updated the row. | ||
| JOB_DEFINITION_PACKAGE | VARCHAR2 | 900 | Enterprise Service Scheduler: indicates the package name of the job that created or last updated the row. | ||
| DATA_SOURCE_NAME | VARCHAR2 | 700 | Yes | This column stores the Data Source Name of the Object, like accounts, leads etc. | |
| DATA_SOURCE_TYPE | VARCHAR2 | 80 | Yes | This column contains type of the Data Source, e.g "Rest", "Table", View" etc. | |
| JOB_NAME | VARCHAR2 | 2000 | Yes | This column contains the User Enterable Job Name. | |
| MODEL_TYPE | VARCHAR2 | 200 | Yes | This column stores the Model Type values, such as "CLASSIFICATION", "REGRESSION" or "CLUSTERING". | |
| MODEL_ACCURACY | VARCHAR2 | 200 | This column stores the Model accuracy value. | ||
| SELECTED_ALGORITHM | VARCHAR2 | 200 | This column stores the final selected algorithm name for the model built. | ||
| DATA_SOURCE_SQL | CLOB | This column stores the SQL generated by the Model. | |||
| RANGE_VALUES | CLOB | This column contains the Bucket Range values for multiple NUMBER and DATE columns. | |||
| EXPLAINABILITY_METRICS | CLOB | This column stores the explainability metrics JSON generated by the Model. | |||
| MODEL_STATUS | VARCHAR2 | 20 | This column contains the status flag of the job run for model creation.The statis of the Machine learning Models can be DRAFT,RUNNING,ERROR,READY,ACTIVE. | ||
| ADDITIONAL_METADATA_JSON | CLOB | This column stores any extra information regarding the job. | |||
| CREATED_BY | VARCHAR2 | 64 | Yes | Who column: indicates the user who created the row. | |
| CREATION_DATE | TIMESTAMP | Yes | Who column: indicates the date and time of the creation of the row. | ||
| LAST_UPDATED_BY | VARCHAR2 | 64 | Yes | Who column: indicates the user who last updated the row. | |
| LAST_UPDATE_DATE | TIMESTAMP | Yes | Who column: indicates the date and time of the last update of the row. | ||
| LAST_UPDATE_LOGIN | VARCHAR2 | 32 | Who column: indicates the session login associated to the user who last updated the row. | ||
| OBJECT_VERSION_NUMBER | NUMBER | 9 | Yes | Used to implement optimistic locking. This number is incremented every time that the row is updated. The number is compared at the start and end of a transaction to detect whether another session has updated the row since it was queried. |
Indexes
| Index | Uniqueness | Tablespace | Columns |
|---|---|---|---|
| zca_oml_job_statistics_U1 | Unique | Default | JOB_RUN_ID |
| zca_oml_job_statistics_U2 | Unique | Default | JOB_RUN_ID, JOB_ID |