Amazon Redshift will no longer support the creation of new Python UDFs starting Patch 198. Existing Python UDFs will continue to function until June 30, 2026. For more information, see the [ blog post ](https://aws.amazon.com/blogs/big-data/amazon-redshift-python-user-defined-functions-will-reach-end-of-support-after-june-30-2026/). 

# STV\_ML\_MODEL\_INFO
<a name="r_STV_ML_MODEL_INFO"></a>

State information about the current state of the machine learning model.

STV\_ML\_MODEL\_INFO is visible to all users. Superusers can see all rows; regular users can see only their own data. For more information, see [Visibility of data in system tables and views](cm_chap_system-tables.md#c_visibility-of-data).

## Table columns
<a name="r_STV_ML_MODEL_INFO-table-columns"></a>


| Column name  | Data type  | Description  | 
| --- | --- | --- | 
| schema\_name | char(128)  | The namespace of the model. | 
| user\_name | char(128)  | The owner of the model.  | 
| model\_name | char(128) | The name of the model.  | 
| life\_cycle | char(20) | The lifecycle status of the model. | 
| is\_refreshable | integer | The state of the model whether it is refreshable if original tables and columns in the training query still exist and the user still has the permissions to them. Possible values are: 1 (refreshable) and 0 (not refreshable). | 
| model\_state  | char(128) | The current state of the model. | 

## Sample query
<a name="r_STV_ML_MODEL_INFO-sample-query"></a>

The following query displays the current state of machine learning models.

```
SELECT schema_name, model_name, model_state 
FROM stv_ml_model_info;

 schema_name |        model_name            |             model_state
-------------+------------------------------+--------------------------------------
 public      | customer_churn_auto_model    | Train Model On SageMaker In Progress
 public      | customer_churn_xgboost_model | Model is Ready
(2 row)
```