Fix ml for validation

specification/ml/_types/TrainedModel.ts

@@ -93,7 +93,7 @@ export class TrainedModelDeploymentStats {
   /** The epoch timestamp when the deployment started. */
   start_time: EpochTime<UnitMillis>
   /** The overall state of the deployment. */
-  state: DeploymentState
+  state: DeploymentAssignmentState
   /** The number of threads used be each allocation during inference. */
   threads_per_allocation: integer
   /** The sum of `timeout_count` for all nodes in the deployment. */
@@ -270,40 +270,37 @@ export enum TrainedModelType {
   pytorch
 }
 
-export enum DeploymentState {
+export enum DeploymentAllocationState {
   /**
-   * The deployment is usable; at least one node has the model allocated.
+   * The trained model is started on at least one node.
    */
   started,
   /**
-   * The deployment has recently started but is not yet usable; the model is not allocated on any nodes.
+   * Trained model deployment is starting but it is not yet deployed on any nodes.
    */
   starting,
   /**
-   * The deployment is preparing to stop and deallocate the model from the relevant nodes.
+   * Trained model deployment has started on all valid nodes.
    */
-  stopping
+  fully_allocated
 }
 
-export enum DeploymentAllocationState {
+export enum DeploymentAssignmentState {
   /**
-   * The trained model is started on at least one node.
+   * The deployment is usable; at least one node has the model allocated.
    */
   started,
   /**
-   * Trained model deployment is starting but it is not yet deployed on any nodes.
+   * The deployment has recently started but is not yet usable; the model is not allocated on any nodes.
    */
   starting,
   /**
-   * Trained model deployment has started on all valid nodes.
+   * The deployment is preparing to stop and deallocate the model from the relevant nodes.
    */
-  fully_allocated
-}
-
-export enum DeploymentAssignmentState {
-  starting,
-  started,
   stopping,
+  /**
+   * The deployment is on a failed state and must be re-deployed.
+   */
   failed
 }