---
title: "List Multivariate Models"
method: GET
path: "/multivariate/models"
---

# List Multivariate Models

`GET /multivariate/models`

List models of a resource.

## Query parameters

- `skip` integer
- `top` integer

## Response `200`

The request has succeeded.

- MultivariateModelList — Response of listing models.
  - `models` MultivariateAnomalyDetectionModel[], required — List of models.
    - `modelId` string, uuid, required — Universally Unique Identifier
    - `createdTime` string, date-time, required — Date and time (UTC) when the model was created.
    - `lastUpdatedTime` string, date-time, required — Date and time (UTC) when the model was last updated.
    - `modelInfo` MultivariateModelInfo — Training result of a model, including its status, errors, and diagnostics information.
      - `dataSource` string, uri, required — Source link to the input data to indicate an accessible Azure Storage URI. It either points to an Azure Blob Storage folder or points to a CSV file in Azure Blob Storage, based on your data schema selection.
      - `dataSchema` 'OneTable' | 'MultiTable' — Data schema of the input data source. The default is OneTable.
      - `startTime` string, date-time, required — Start date/time of training data, which should be in ISO 8601 format.
      - `endTime` string, date-time, required — End date/time of training data, which should be in ISO 8601 format.
      - `displayName` string — Display name of the model. Maximum length is 24 characters.
      - `slidingWindow` integer — Number of previous time stamps that will be used to detect whether the time stamp is an anomaly or not.
      - `alignPolicy` MultivariateAlignPolicy — Manner of aligning multiple variables.
        - `alignMode` 'Inner' | 'Outer'
        - `fillNAMethod` 'Previous' | 'Subsequent' | 'Linear' | 'Zero' | 'Fixed' — Field that indicates how missing values will be filled.
        - `paddingValue` number, float — Field that's required when fillNAMethod is Fixed.
      - `status` 'CREATED' | 'RUNNING' | 'READY' | 'FAILED'
      - `errors` MultivariateErrorResponse[] — Error messages after failure to create a model.
        - `code` string, required — Error code.
        - `message` string, required — Message that explains the error that the service reported.
      - `diagnosticsInfo` MultivariateDiagnosticsInfo — Diagnostics information to help inspect the states of a model or variable.
        - `modelState` MultivariateModelState — Model status.
          - `epochIds` integer[] — Number of passes of the entire training dataset that the algorithm has completed.
          - `trainLosses` number[] — List of metrics used to assess how the model fits the training data for each epoch.
          - `validationLosses` number[] — List of metrics used to assess how the model fits the validation set for each epoch.
          - `latenciesInSeconds` number[] — Latency for each epoch.
        - `variableStates` MultivariateVariableState[] — Variable status.
          - `variable` string — Variable name in variable states.
          - `filledNARatio` number, float — Proportion of missing values that need to be filled by fillNAMethod.
          - `effectiveCount` integer — Number of effective data points before fillNAMethod is applied.
          - `firstTimestamp` string, date-time — First valid time stamp with a value of input data.
          - `lastTimestamp` string, date-time — Last valid time stamp with a value of input data.
  - `currentCount` integer, required — Number of trained multivariate models.
  - `maxCount` integer, required — Maximum number of models that can be trained for this Anomaly Detector resource.
  - `nextLink` string — Link to fetch more models.

## Other responses

- `default` — An unexpected error response.

---

[API](https://skmtc.net/azure/apis/cognitiveservices-anomalydetector.md) · [All operations](https://skmtc.net/azure/apis/cognitiveservices-anomalydetector/llms.txt) · [OpenAPI document](https://skmtc-service-staging.skmtc.workers.dev/v1/apis/azure/cognitiveservices-anomalydetector/versions/3d72cecb974e/schema)