Description
The db.predictors.deleteOne() method deletes an ML model specified in its argument.
Syntax
Here is the syntax:
db.predictors.deleteOne({name: "predictor_name"});
On execution, we get:
{
"acknowledged": true,
"deletedCount": 1
}
Where:
| Name | Description |
|---|
name | Name of the model to be deleted. |
Example
Before deleting a predictor, let’s list all the available predictors using the db.predictors.find() method.
On execution, we get:
{
"name": "home_rentals_model",
"status": "complete",
"accuracy": "1.0",
"predict": "rental_price",
"update_status": "up_to_date",
"mindsdb_version": "22.8.3.1",
"error": null,
"select_data_query": "",
"training_options": ""
},
{
"name": "other_model",
"status": "complete",
"accuracy": "1.0",
"predict": "value_to_be_predicted",
"update_status": "up_to_date",
"mindsdb_version": "22.8.3.1",
"error": null,
"select_data_query": "",
"training_options": ""
}
The db.predictors.deleteOne() method drops the model collection called home_rentals_model.
db.predictors.deleteOne({name: "home_rentals_model"});
On execution, we get:
{
"acknowledged": true,
"deletedCount": 1
}
You can validate that the model was removed by listing all the predictors.
On execution, we get:
{
"name": "other_model",
"status": "complete",
"accuracy": "1.0",
"predict": "value_to_be_predicted",
"update_status": "up_to_date",
"mindsdb_version": "22.8.3.1",
"error": null,
"select_data_query": "",
"training_options": ""
}
