---
title: "Get Multivariate Model"
method: GET
path: "/multivariate/models/{modelId}"
---

# Get Multivariate Model

`GET /multivariate/models/{modelId}`

Get detailed information about the multivariate model, including the training status
and variables used in the model.

## Path parameters

- `modelId` string, required

## Response `200`

The request has succeeded.

- MultivariateAnomalyDetectionModel — Response of getting a model.
  - `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.

## 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)