MLModel constructor

MLModel({
  1. Algorithm? algorithm,
  2. int? computeTime,
  3. DateTime? createdAt,
  4. String? createdByIamUser,
  5. RealtimeEndpointInfo? endpointInfo,
  6. DateTime? finishedAt,
  7. String? inputDataLocationS3,
  8. DateTime? lastUpdatedAt,
  9. String? mLModelId,
  10. MLModelType? mLModelType,
  11. String? message,
  12. String? name,
  13. double? scoreThreshold,
  14. DateTime? scoreThresholdLastUpdatedAt,
  15. int? sizeInBytes,
  16. DateTime? startedAt,
  17. EntityStatus? status,
  18. String? trainingDataSourceId,
  19. Map<String, String>? trainingParameters,
})

Implementation

MLModel({
  this.algorithm,
  this.computeTime,
  this.createdAt,
  this.createdByIamUser,
  this.endpointInfo,
  this.finishedAt,
  this.inputDataLocationS3,
  this.lastUpdatedAt,
  this.mLModelId,
  this.mLModelType,
  this.message,
  this.name,
  this.scoreThreshold,
  this.scoreThresholdLastUpdatedAt,
  this.sizeInBytes,
  this.startedAt,
  this.status,
  this.trainingDataSourceId,
  this.trainingParameters,
});