---
title: Getting Started with Datadog
description: Datadog, the leading service for cloud-scale monitoring.
breadcrumbs: Docs > Infrastructure > Datadog Resource Catalog
---

# gcp_contactcenterinsights_issue_model{% #gcp_contactcenterinsights_issue_model %}

## `ancestors`{% #ancestors %}

**Type**: `UNORDERED_LIST_STRING`

## `create_time`{% #create_time %}

**Type**: `TIMESTAMP`**Provider name**: `createTime`**Description**: Output only. The time at which this issue model was created.

## `gcp_display_name`{% #gcp_display_name %}

**Type**: `STRING`**Provider name**: `displayName`**Description**: The representative name for the issue model.

## `input_data_config`{% #input_data_config %}

**Type**: `STRUCT`**Provider name**: `inputDataConfig`**Description**: Configs for the input data that used to create the issue model.

- `filter`**Type**: `STRING`**Provider name**: `filter`**Description**: A filter to reduce the conversations used for training the model to a specific subset. Refer to [https://cloud.google.com/contact-center/insights/docs/filtering](https://cloud.google.com/contact-center/insights/docs/filtering) for details.
- `medium`**Type**: `STRING`**Provider name**: `medium`**Description**: Medium of conversations used in training data. This field is being deprecated. To specify the medium to be used in training a new issue model, set the `medium` field on `filter`.**Possible values**:
  - `MEDIUM_UNSPECIFIED` - Default value, if unspecified will default to PHONE_CALL.
  - `PHONE_CALL` - The format for conversations that took place over the phone.
  - `CHAT` - The format for conversations that took place over chat.
- `training_conversations_count`**Type**: `INT64`**Provider name**: `trainingConversationsCount`**Description**: Output only. Number of conversations used in training. Output only.

## `issue_count`{% #issue_count %}

**Type**: `INT64`**Provider name**: `issueCount`**Description**: Output only. Number of issues in this issue model.

## `labels`{% #labels %}

**Type**: `UNORDERED_LIST_STRING`

## `language_code`{% #language_code %}

**Type**: `STRING`**Provider name**: `languageCode`**Description**: Language of the model.

## `model_type`{% #model_type %}

**Type**: `STRING`**Provider name**: `modelType`**Description**: Type of the model.**Possible values**:

- `MODEL_TYPE_UNSPECIFIED` - Unspecified model type.
- `TYPE_V1` - Type V1.
- `TYPE_V2` - Type V2.

## `name`{% #name %}

**Type**: `STRING`**Provider name**: `name`**Description**: Immutable. The resource name of the issue model. Format: projects/{project}/locations/{location}/issueModels/{issue_model}

## `organization_id`{% #organization_id %}

**Type**: `STRING`

## `parent`{% #parent %}

**Type**: `STRING`

## `project_id`{% #project_id %}

**Type**: `STRING`

## `project_number`{% #project_number %}

**Type**: `STRING`

## `region_id`{% #region_id %}

**Type**: `STRING`

## `resource_name`{% #resource_name %}

**Type**: `STRING`

## `state`{% #state %}

**Type**: `STRING`**Provider name**: `state`**Description**: Output only. State of the model.**Possible values**:

- `STATE_UNSPECIFIED` - Unspecified.
- `UNDEPLOYED` - Model is not deployed but is ready to deploy.
- `DEPLOYING` - Model is being deployed.
- `DEPLOYED` - Model is deployed and is ready to be used. A model can only be used in analysis if it's in this state.
- `UNDEPLOYING` - Model is being undeployed.
- `DELETING` - Model is being deleted.

## `tags`{% #tags %}

**Type**: `UNORDERED_LIST_STRING`

## `training_stats`{% #training_stats %}

**Type**: `STRUCT`**Provider name**: `trainingStats`**Description**: Output only. Immutable. The issue model's label statistics on its training data.

- `analyzed_conversations_count`**Type**: `INT64`**Provider name**: `analyzedConversationsCount`**Description**: Number of conversations the issue model has analyzed at this point in time.
- `unclassified_conversations_count`**Type**: `INT64`**Provider name**: `unclassifiedConversationsCount`**Description**: Number of analyzed conversations for which no issue was applicable at this point in time.

## `update_time`{% #update_time %}

**Type**: `TIMESTAMP`**Provider name**: `updateTime`**Description**: Output only. The most recent time at which the issue model was updated.

## `zone_id`{% #zone_id %}

**Type**: `STRING`