Update filters API
Update filters API
New API reference
For the most up-to-date API details, refer to Machine learning anomaly detection APIs.
Updates the description of a filter, adds items, or removes items.
Request
POST _ml/filters/<filter_id>/_update
Prerequisites
Requires the manage_ml
cluster privilege. This privilege is included in the machine_learning_admin
built-in role.
Path parameters
<filter_id>
(Required, string) A string that uniquely identifies a filter.
Request body
add_items
(Optional, array of strings) The items to add to the filter.
description
(Optional, string) A description for the filter.
remove_items
(Optional, array of strings) The items to remove from the filter.
Examples
resp = client.ml.update_filter(
filter_id="safe_domains",
description="Updated list of domains",
add_items=[
"*.myorg.com"
],
remove_items=[
"wikipedia.org"
],
)
print(resp)
response = client.ml.update_filter(
filter_id: 'safe_domains',
body: {
description: 'Updated list of domains',
add_items: [
'*.myorg.com'
],
remove_items: [
'wikipedia.org'
]
}
)
puts response
const response = await client.ml.updateFilter({
filter_id: "safe_domains",
description: "Updated list of domains",
add_items: ["*.myorg.com"],
remove_items: ["wikipedia.org"],
});
console.log(response);
POST _ml/filters/safe_domains/_update
{
"description": "Updated list of domains",
"add_items": ["*.myorg.com"],
"remove_items": ["wikipedia.org"]
}
The API returns the following results:
{
"filter_id": "safe_domains",
"description": "Updated list of domains",
"items": ["*.google.com", "*.myorg.com"]
}
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