Retrieves the EON tuner state

Retrieves the EON tuner state

GET /api/{projectId}/optimize/state

Try it

Retrieves the EON tuner state

cURL

curl --request GET \
  --url https://studio.edgeimpulse.com/v1/api/{projectId}/optimize/state \
  --header 'x-api-key: <api-key>'

200

{
  "success": true,
  "config": {
    "targetLatency": 0,
    "targetDevice": {
      "name": "cortex-m4f-80mhz",
      "ram": 1024,
      "rom": 1024
    },
    "name": "<string>",
    "compiler": [
      "<string>"
    ],
    "precision": [
      "<string>"
    ],
    "trainingCycles": 5,
    "tuningMaxTrials": 2,
    "tuningWorkers": 1,
    "initialTrials": 5,
    "optimizationRounds": 3,
    "trialsPerOptimizationRound": 3,
    "minMACCS": 123,
    "maxMACCS": 123,
    "tuningAlgorithm": "random",
    "notificationOnCompletion": true,
    "importProjectMetrics": true,
    "importResourceMetrics": true,
    "numImportProjectMetrics": 123,
    "numImportResourceMetrics": 123,
    "enableSEM": true,
    "accuracySEM": 123,
    "latencySEM": 123,
    "optimizationObjectives": [
      {
        "objective": "<string>",
        "label": "<string>",
        "weight": 123
      }
    ],
    "rawObjectives": "<string>",
    "optimizationPrecision": "float32",
    "earlyStopping": true,
    "earlyStoppingWindowSize": 123,
    "earlyStoppingImprovementBar": 123,
    "MOMF": true,
    "verboseLogging": true,
    "disableConstraints": true,
    "disableDeduplicate": true,
    "maxTotalTrainingTime": 123,
    "tunerSpaceOptions": {},
    "space": [
      {
        "inputBlocks": [
          {}
        ],
        "dspBlocks": [
          {}
        ],
        "learnBlocks": [
          [
            {}
          ]
        ],
        "parameters": {}
      }
    ],
    "searchSpaceTemplate": {
      "identifier": "speech_keyword",
      "classification": true,
      "anomaly": true,
      "regression": true
    },
    "searchSpaceSource": {
      "type": "template",
      "templateTitle": "<string>",
      "runTitle": "<string>",
      "impulseTitle": "<string>"
    }
  },
  "status": {
    "numPendingTrials": 123,
    "numRunningTrials": 123,
    "numCompletedTrials": 123,
    "numFailedTrials": 123,
    "numReadyWorkers": 123,
    "numBusyWorkers": 123,
    "numPendingWorkers": 123,
    "status": "creating"
  },
  "tunerJobIsRunning": true,
  "trials": [
    {
      "id": "<string>",
      "name": "<string>",
      "status": "pending",
      "blocks": [
        {
          "id": 123,
          "retries": 123,
          "status": "pending",
          "type": "input",
          "lastActive": "2023-11-07T05:31:56Z",
          "modelBlockIndex": 123
        }
      ],
      "impulse": {
        "inputBlocks": [
          {}
        ],
        "dspBlocks": [
          {}
        ],
        "learnBlocks": [
          {}
        ]
      },
      "lastCompletedEpoch": "2023-11-07T05:31:56Z",
      "lastCompletedTraining": "2023-11-07T05:31:56Z",
      "retries": 123,
      "currentEpoch": 123,
      "workerId": "<string>",
      "experiment": "<string>",
      "original_trial_id": "<string>",
      "model": {},
      "dspJobId": {
        "training": 123,
        "testing": 123
      },
      "learnJobId": 123,
      "devicePerformance": {},
      "optimizationRound": 123,
      "progress": {
        "epoch": 123,
        "loss": 123,
        "val_loss": 123,
        "accuracy": 123,
        "val_accuracy": 123
      },
      "metrics": {
        "test": {
          "float32": {
            "type": "int8",
            "loss": 123,
            "confusionMatrix": [
              [
                31,
                1,
                0
              ],
              [
                2,
                27,
                3
              ],
              [
                1,
                0,
                39
              ]
            ],
            "report": {},
            "onDevicePerformance": [
              {
                "mcu": "<string>",
                "name": "<string>",
                "isDefault": true,
                "latency": 123,
                "tflite": {
                  "ramRequired": 123,
                  "romRequired": 123,
                  "arenaSize": 123,
                  "modelSize": 123
                },
                "eon": {
                  "ramRequired": 123,
                  "romRequired": 123,
                  "arenaSize": 123,
                  "modelSize": 123
                },
                "hasPerformance": true,
                "eon_ram_optimized": {
                  "ramRequired": 123,
                  "romRequired": 123,
                  "arenaSize": 123,
                  "modelSize": 123
                },
                "customMetrics": [
                  {
                    "name": "<string>",
                    "value": "<string>"
                  }
                ],
                "profilingError": "<string>"
              }
            ],
            "visualization": "featureExplorer",
            "isSupportedOnMcu": true,
            "additionalMetrics": [
              {
                "name": "<string>",
                "value": "<string>",
                "fullPrecisionValue": 123,
                "tooltipText": "<string>",
                "link": "<string>"
              }
            ],
            "accuracy": 123,
            "predictions": [
              {
                "sampleId": 123,
                "startMs": 123,
                "endMs": 123,
                "prediction": "<string>",
                "label": "<string>",
                "predictionCorrect": true,
                "f1Score": 123,
                "anomalyScores": [
                  [
                    123
                  ]
                ],
                "boundingBoxes": [
                  {
                    "label": "<string>",
                    "x": 123,
                    "y": 123,
                    "width": 123,
                    "height": 123,
                    "score": 123
                  }
                ]
              }
            ],
            "mcuSupportError": "<string>",
            "profilingJobId": 123,
            "profilingJobFailed": true
          },
          "int8": {
            "type": "int8",
            "loss": 123,
            "confusionMatrix": [
              [
                31,
                1,
                0
              ],
              [
                2,
                27,
                3
              ],
              [
                1,
                0,
                39
              ]
            ],
            "report": {},
            "onDevicePerformance": [
              {
                "mcu": "<string>",
                "name": "<string>",
                "isDefault": true,
                "latency": 123,
                "tflite": {
                  "ramRequired": 123,
                  "romRequired": 123,
                  "arenaSize": 123,
                  "modelSize": 123
                },
                "eon": {
                  "ramRequired": 123,
                  "romRequired": 123,
                  "arenaSize": 123,
                  "modelSize": 123
                },
                "hasPerformance": true,
                "eon_ram_optimized": {
                  "ramRequired": 123,
                  "romRequired": 123,
                  "arenaSize": 123,
                  "modelSize": 123
                },
                "customMetrics": [
                  {
                    "name": "<string>",
                    "value": "<string>"
                  }
                ],
                "profilingError": "<string>"
              }
            ],
            "visualization": "featureExplorer",
            "isSupportedOnMcu": true,
            "additionalMetrics": [
              {
                "name": "<string>",
                "value": "<string>",
                "fullPrecisionValue": 123,
                "tooltipText": "<string>",
                "link": "<string>"
              }
            ],
            "accuracy": 123,
            "predictions": [
              {
                "sampleId": 123,
                "startMs": 123,
                "endMs": 123,
                "prediction": "<string>",
                "label": "<string>",
                "predictionCorrect": true,
                "f1Score": 123,
                "anomalyScores": [
                  [
                    123
                  ]
                ],
                "boundingBoxes": [
                  {
                    "label": "<string>",
                    "x": 123,
                    "y": 123,
                    "width": 123,
                    "height": 123,
                    "score": 123
                  }
                ]
              }
            ],
            "mcuSupportError": "<string>",
            "profilingJobId": 123,
            "profilingJobFailed": true
          }
        },
        "train": {
          "float32": {
            "type": "int8",
            "loss": 123,
            "confusionMatrix": [
              [
                31,
                1,
                0
              ],
              [
                2,
                27,
                3
              ],
              [
                1,
                0,
                39
              ]
            ],
            "report": {},
            "onDevicePerformance": [
              {
                "mcu": "<string>",
                "name": "<string>",
                "isDefault": true,
                "latency": 123,
                "tflite": {
                  "ramRequired": 123,
                  "romRequired": 123,
                  "arenaSize": 123,
                  "modelSize": 123
                },
                "eon": {
                  "ramRequired": 123,
                  "romRequired": 123,
                  "arenaSize": 123,
                  "modelSize": 123
                },
                "hasPerformance": true,
                "eon_ram_optimized": {
                  "ramRequired": 123,
                  "romRequired": 123,
                  "arenaSize": 123,
                  "modelSize": 123
                },
                "customMetrics": [
                  {
                    "name": "<string>",
                    "value": "<string>"
                  }
                ],
                "profilingError": "<string>"
              }
            ],
            "visualization": "featureExplorer",
            "isSupportedOnMcu": true,
            "additionalMetrics": [
              {
                "name": "<string>",
                "value": "<string>",
                "fullPrecisionValue": 123,
                "tooltipText": "<string>",
                "link": "<string>"
              }
            ],
            "accuracy": 123,
            "predictions": [
              {
                "sampleId": 123,
                "startMs": 123,
                "endMs": 123,
                "prediction": "<string>",
                "label": "<string>",
                "predictionCorrect": true,
                "f1Score": 123,
                "anomalyScores": [
                  [
                    123
                  ]
                ],
                "boundingBoxes": [
                  {
                    "label": "<string>",
                    "x": 123,
                    "y": 123,
                    "width": 123,
                    "height": 123,
                    "score": 123
                  }
                ]
              }
            ],
            "mcuSupportError": "<string>",
            "profilingJobId": 123,
            "profilingJobFailed": true
          },
          "int8": {
            "type": "int8",
            "loss": 123,
            "confusionMatrix": [
              [
                31,
                1,
                0
              ],
              [
                2,
                27,
                3
              ],
              [
                1,
                0,
                39
              ]
            ],
            "report": {},
            "onDevicePerformance": [
              {
                "mcu": "<string>",
                "name": "<string>",
                "isDefault": true,
                "latency": 123,
                "tflite": {
                  "ramRequired": 123,
                  "romRequired": 123,
                  "arenaSize": 123,
                  "modelSize": 123
                },
                "eon": {
                  "ramRequired": 123,
                  "romRequired": 123,
                  "arenaSize": 123,
                  "modelSize": 123
                },
                "hasPerformance": true,
                "eon_ram_optimized": {
                  "ramRequired": 123,
                  "romRequired": 123,
                  "arenaSize": 123,
                  "modelSize": 123
                },
                "customMetrics": [
                  {
                    "name": "<string>",
                    "value": "<string>"
                  }
                ],
                "profilingError": "<string>"
              }
            ],
            "visualization": "featureExplorer",
            "isSupportedOnMcu": true,
            "additionalMetrics": [
              {
                "name": "<string>",
                "value": "<string>",
                "fullPrecisionValue": 123,
                "tooltipText": "<string>",
                "link": "<string>"
              }
            ],
            "accuracy": 123,
            "predictions": [
              {
                "sampleId": 123,
                "startMs": 123,
                "endMs": 123,
                "prediction": "<string>",
                "label": "<string>",
                "predictionCorrect": true,
                "f1Score": 123,
                "anomalyScores": [
                  [
                    123
                  ]
                ],
                "boundingBoxes": [
                  {
                    "label": "<string>",
                    "x": 123,
                    "y": 123,
                    "width": 123,
                    "height": 123,
                    "score": 123
                  }
                ]
              }
            ],
            "mcuSupportError": "<string>",
            "profilingJobId": 123,
            "profilingJobFailed": true
          }
        },
        "validation": {
          "float32": {
            "type": "int8",
            "loss": 123,
            "confusionMatrix": [
              [
                31,
                1,
                0
              ],
              [
                2,
                27,
                3
              ],
              [
                1,
                0,
                39
              ]
            ],
            "report": {},
            "onDevicePerformance": [
              {
                "mcu": "<string>",
                "name": "<string>",
                "isDefault": true,
                "latency": 123,
                "tflite": {
                  "ramRequired": 123,
                  "romRequired": 123,
                  "arenaSize": 123,
                  "modelSize": 123
                },
                "eon": {
                  "ramRequired": 123,
                  "romRequired": 123,
                  "arenaSize": 123,
                  "modelSize": 123
                },
                "hasPerformance": true,
                "eon_ram_optimized": {
                  "ramRequired": 123,
                  "romRequired": 123,
                  "arenaSize": 123,
                  "modelSize": 123
                },
                "customMetrics": [
                  {
                    "name": "<string>",
                    "value": "<string>"
                  }
                ],
                "profilingError": "<string>"
              }
            ],
            "visualization": "featureExplorer",
            "isSupportedOnMcu": true,
            "additionalMetrics": [
              {
                "name": "<string>",
                "value": "<string>",
                "fullPrecisionValue": 123,
                "tooltipText": "<string>",
                "link": "<string>"
              }
            ],
            "accuracy": 123,
            "predictions": [
              {
                "sampleId": 123,
                "startMs": 123,
                "endMs": 123,
                "prediction": "<string>",
                "label": "<string>",
                "predictionCorrect": true,
                "f1Score": 123,
                "anomalyScores": [
                  [
                    123
                  ]
                ],
                "boundingBoxes": [
                  {
                    "label": "<string>",
                    "x": 123,
                    "y": 123,
                    "width": 123,
                    "height": 123,
                    "score": 123
                  }
                ]
              }
            ],
            "mcuSupportError": "<string>",
            "profilingJobId": 123,
            "profilingJobFailed": true
          },
          "int8": {
            "type": "int8",
            "loss": 123,
            "confusionMatrix": [
              [
                31,
                1,
                0
              ],
              [
                2,
                27,
                3
              ],
              [
                1,
                0,
                39
              ]
            ],
            "report": {},
            "onDevicePerformance": [
              {
                "mcu": "<string>",
                "name": "<string>",
                "isDefault": true,
                "latency": 123,
                "tflite": {
                  "ramRequired": 123,
                  "romRequired": 123,
                  "arenaSize": 123,
                  "modelSize": 123
                },
                "eon": {
                  "ramRequired": 123,
                  "romRequired": 123,
                  "arenaSize": 123,
                  "modelSize": 123
                },
                "hasPerformance": true,
                "eon_ram_optimized": {
                  "ramRequired": 123,
                  "romRequired": 123,
                  "arenaSize": 123,
                  "modelSize": 123
                },
                "customMetrics": [
                  {
                    "name": "<string>",
                    "value": "<string>"
                  }
                ],
                "profilingError": "<string>"
              }
            ],
            "visualization": "featureExplorer",
            "isSupportedOnMcu": true,
            "additionalMetrics": [
              {
                "name": "<string>",
                "value": "<string>",
                "fullPrecisionValue": 123,
                "tooltipText": "<string>",
                "link": "<string>"
              }
            ],
            "accuracy": 123,
            "predictions": [
              {
                "sampleId": 123,
                "startMs": 123,
                "endMs": 123,
                "prediction": "<string>",
                "label": "<string>",
                "predictionCorrect": true,
                "f1Score": 123,
                "anomalyScores": [
                  [
                    123
                  ]
                ],
                "boundingBoxes": [
                  {
                    "label": "<string>",
                    "x": 123,
                    "y": 123,
                    "width": 123,
                    "height": 123,
                    "score": 123
                  }
                ]
              }
            ],
            "mcuSupportError": "<string>",
            "profilingJobId": 123,
            "profilingJobFailed": true
          }
        }
      },
      "impulseAddedToProject": {
        "impulseId": 123,
        "link": "<string>"
      },
      "createdInPostProcessing": true
    }
  ],
  "projectDataType": "audio",
  "workers": [
    {
      "workerId": "<string>",
      "status": "pending"
    }
  ],
  "nextRunIndex": 123,
  "canExtendSearch": true,
  "isWhitelabel": true,
  "totalTrainingTimeExceeded": true,
  "error": "<string>",
  "tunerJobId": 123,
  "tunerCoordinatorJobId": 123,
  "continuationJobId": 123,
  "tuningAlgorithm": "random",
  "jobError": "<string>"
}

Authorizations

x-api-key · string · header · required

Path Parameters

projectId · integer · required

Project ID

Response

200 - application/json

Current EON tuner state

success · boolean · required

Whether the operation succeeded

config · object · required

Show child attributes

config. targetLatency · integer · required

Target latency in MS

Example:

0

config. targetDevice · object · required

Target device

Show child attributes

config.targetDevice. name · string · required

Example:

"cortex-m4f-80mhz"

config.targetDevice. ram · integer

Example:

1024

config.targetDevice. rom · integer

Example:

1024

config. name · string

config. compiler · string[]

config. precision · string[]

config. trainingCycles · integer

Maximum number of training cycles

Example:

5

config. tuningMaxTrials · integer

Maximum number of trials

Example:

2

config. tuningWorkers · integer

Maximum number of parallel workers/jobs

Example:

1

config. initialTrials · integer

Number of initial trials

Example:

5

config. optimizationRounds · integer

Number of optimization rounds

Example:

3

config. trialsPerOptimizationRound · integer

Number of trials per optimization round

Example:

3

config. minMACCS · number

config. maxMACCS · number

config. tuningAlgorithm · enum<string>

Tuning algorithm to use to search hyperparameter space

Available options: random, hyperband, bayesian, custom

config. notificationOnCompletion · boolean

config. importProjectMetrics · boolean

Whether to import metrics for previous EON tuner runs in the same project to accelerate the hyperparameter search process

config. importResourceMetrics · boolean

Whether to import resource usage (RAM/ROM/latency) metrics to accelerate the hyperparameter search process

config. numImportProjectMetrics · number

Number of project trials to import

config. numImportResourceMetrics · number

Number of resource usage trials to import

config. enableSEM · boolean

Enable standard error of the mean (SEM)

config. accuracySEM · number

Standard error of the trial accuracy mean

config. latencySEM · number

Standard error of the trial latency mean

config. optimizationObjectives · object[]

Hyperparameter optimization objectives and corresponding weights

Show child attributes

config.optimizationObjectives. objective · string · required

Objective to optimize

config.optimizationObjectives. label · string · required

Label of the objective

config.optimizationObjectives. weight · number · required

Weight of the objective

config. rawObjectives · string

Hyperparameter optimization objectives + weights in string format

config. optimizationPrecision · enum<string>

Model variant to optimize for

Available options: float32, int8

config. earlyStopping · boolean

Enable trial level early stopping based on loss metrics during training

config. earlyStoppingWindowSize · number

Stops the EON tuner if the feasible (mean) objective has not improved over the past “window_size” iterations

config. earlyStoppingImprovementBar · number

Threshold (in [0,1]) for considering relative improvement over the best point.

config. MOMF · boolean

Enable Multi-fidelity Multi-Objective optimization

config. verboseLogging · boolean

Enable verbose logging

config. disableConstraints · boolean

Disable search constraints

config. disableDeduplicate · boolean

Disable trial deduplication

config. maxTotalTrainingTime · number

Maximum total training time in seconds

config. tunerSpaceOptions · object

Show child attributes

config.tunerSpaceOptions. {key} · string[]

config. space · object[]

List of impulses specifying the EON Tuner search space

Show child attributes

config.space. inputBlocks · object[] · required

Input Blocks that are part of this impulse

config.space. dspBlocks · object[] · required

DSP Blocks that are part of this impulse

config.space. learnBlocks · object[][] · required

Learning Blocks that are part of this impulse

config.space. parameters · object

Hyperparameters with potential values that can be used in any block in this impulse

config. searchSpaceTemplate · object

Search space template

Show child attributes

config.searchSpaceTemplate. identifier · enum<string> · required

Search space template identifier

Available options: speech_keyword, speech_continuous, audio_event, audio_continuous, visual, motion_event, motion_continuous, audio_syntiant, object_detection_bounding_boxes, object_detection_centroids, visual_ad

config.searchSpaceTemplate. classification · boolean

Whether a classification block should be added to the search space

config.searchSpaceTemplate. anomaly · boolean

Whether an anomaly block should be added to the search space

config.searchSpaceTemplate. regression · boolean

Whether a regression block should be added to the search space

config. searchSpaceSource · object

Search space source

Show child attributes

config.searchSpaceSource. type · enum<string> · required

Search space source type

Available options: template, run, impulse, custom

config.searchSpaceSource. templateTitle · string

Search space source template title

config.searchSpaceSource. runTitle · string

Search space source run title

config.searchSpaceSource. impulseTitle · string

Search space source impulse title

status · object · required

Show child attributes

status. numPendingTrials · integer · required

status. numRunningTrials · integer · required

status. numCompletedTrials · integer · required

status. numFailedTrials · integer · required

status. numReadyWorkers · integer · required

status. numBusyWorkers · integer · required

status. numPendingWorkers · integer · required

status. status · enum<string> · required

Available options: creating, ready, running, completed

tunerJobIsRunning · boolean · required

Whether the job is active (if false => finished)

trials · object[] · required

Show child attributes

trials. id · string · required

trials. name · string · required

trials. status · enum<string> · required

Available options: pending, running, completed, failed

trials. blocks · object[] · required

Show child attributes

trials.blocks. id · integer · required

trials.blocks. retries · integer · required

trials.blocks. status · enum<string> · required

Available options: pending, running, completed, failed

trials.blocks. type · enum<string> · required

Available options: input, dsp, learn

trials.blocks. lastActive · string<date-time>

trials.blocks. modelBlockIndex · integer

Index of corresponding DSP/learn block in the impulse model passed to createTrial()

trials. impulse · object · required

Show child attributes

trials.impulse. inputBlocks · object[]

trials.impulse. dspBlocks · object[]

trials.impulse. learnBlocks · object[]

trials. lastCompletedEpoch · string<date-time>

trials. lastCompletedTraining · string<date-time>

trials. retries · integer

trials. currentEpoch · integer

trials. workerId · string

trials. experiment · string

trials. original_trial_id · string

trials. model · object

trials. dspJobId · object

Show child attributes

trials.dspJobId. training · number

trials.dspJobId. testing · number

trials. learnJobId · number

trials. devicePerformance · object

trials. optimizationRound · number

trials. progress · object

Show child attributes

trials.progress. epoch · number · required

trials.progress. loss · number · required

trials.progress. val_loss · number · required

trials.progress. accuracy · number · required

trials.progress. val_accuracy · number · required

trials. metrics · object

Show child attributes

trials.metrics. test · object

Show child attributes

trials.metrics.test. float32 · object

Show child attributes

trials.metrics.test.float32. type · enum<string> · required

The type of model

Available options: int8, float32, akida, requiresRetrain

trials.metrics.test.float32. loss · number · required

The model's loss on the validation set after training

trials.metrics.test.float32. confusionMatrix · number[][] · required

Example:

[[31, 1, 0], [2, 27, 3], [1, 0, 39]]

trials.metrics.test.float32. report · object · required

Precision, recall, F1 and support scores

trials.metrics.test.float32. onDevicePerformance · object[] · required

Show child attributes

trials.metrics.test.float32.onDevicePerformance. mcu · string · required

trials.metrics.test.float32.onDevicePerformance. name · string · required

trials.metrics.test.float32.onDevicePerformance. isDefault · boolean · required

trials.metrics.test.float32.onDevicePerformance. latency · number · required

trials.metrics.test.float32.onDevicePerformance. tflite · object · required

Show child attributes

trials.metrics.test.float32.onDevicePerformance.tflite. ramRequired · integer · required

trials.metrics.test.float32.onDevicePerformance.tflite. romRequired · integer · required

trials.metrics.test.float32.onDevicePerformance.tflite. arenaSize · integer · required

trials.metrics.test.float32.onDevicePerformance.tflite. modelSize · integer · required

trials.metrics.test.float32.onDevicePerformance. eon · object · required

Show child attributes

trials.metrics.test.float32.onDevicePerformance.eon. ramRequired · integer · required

trials.metrics.test.float32.onDevicePerformance.eon. romRequired · integer · required

trials.metrics.test.float32.onDevicePerformance.eon. arenaSize · integer · required

trials.metrics.test.float32.onDevicePerformance.eon. modelSize · integer · required

trials.metrics.test.float32.onDevicePerformance. hasPerformance · boolean · required

If false, then no metrics are available for this target

trials.metrics.test.float32.onDevicePerformance. eon_ram_optimized · object

Show child attributes

trials.metrics.test.float32.onDevicePerformance.eon_ram_optimized. ramRequired · integer · required

trials.metrics.test.float32.onDevicePerformance.eon_ram_optimized. romRequired · integer · required

trials.metrics.test.float32.onDevicePerformance.eon_ram_optimized. arenaSize · integer · required

trials.metrics.test.float32.onDevicePerformance.eon_ram_optimized. modelSize · integer · required

trials.metrics.test.float32.onDevicePerformance. customMetrics · object[]

Custom, device-specific performance metrics

Show child attributes

trials.metrics.test.float32.onDevicePerformance.customMetrics. name · string · required

The name of the metric

trials.metrics.test.float32.onDevicePerformance.customMetrics. value · string · required

The value of this metric for this model type

trials.metrics.test.float32.onDevicePerformance. profilingError · string

Specific error during profiling (e.g. model not supported)

trials.metrics.test.float32. visualization · enum<string> · required

Available options: featureExplorer, dataExplorer, none

trials.metrics.test.float32. isSupportedOnMcu · boolean · required

trials.metrics.test.float32. additionalMetrics · object[] · required

Show child attributes

trials.metrics.test.float32.additionalMetrics. name · string · required

trials.metrics.test.float32.additionalMetrics. value · string · required

trials.metrics.test.float32.additionalMetrics. fullPrecisionValue · number · required

trials.metrics.test.float32.additionalMetrics. tooltipText · string

trials.metrics.test.float32.additionalMetrics. link · string

trials.metrics.test.float32. accuracy · number

The model's accuracy on the validation set after training

trials.metrics.test.float32. predictions · object[]

Show child attributes

trials.metrics.test.float32.predictions. sampleId · integer · required

trials.metrics.test.float32.predictions. startMs · number · required

trials.metrics.test.float32.predictions. endMs · number · required

trials.metrics.test.float32.predictions. prediction · string · required

trials.metrics.test.float32.predictions. label · string

trials.metrics.test.float32.predictions. predictionCorrect · boolean

trials.metrics.test.float32.predictions. f1Score · number

Only set for object detection projects

trials.metrics.test.float32.predictions. anomalyScores · number[][]

Only set for visual anomaly projects. 2D array of shape (n, n) with raw anomaly scores, where n varies based on the image input size and the specific visual anomaly algorithm used. The scores corresponds to each grid cell in the image's spatial matrix.

trials.metrics.test.float32.predictions. boundingBoxes · object[]

Only set for object detection projects. Coordinates are scaled 0..1, not absolute values.

Show child attributes

trials.metrics.test.float32.predictions.boundingBoxes. label · string · required

trials.metrics.test.float32.predictions.boundingBoxes. x · number · required

trials.metrics.test.float32.predictions.boundingBoxes. y · number · required

trials.metrics.test.float32.predictions.boundingBoxes. width · number · required

trials.metrics.test.float32.predictions.boundingBoxes. height · number · required

trials.metrics.test.float32.predictions.boundingBoxes. score · number · required

trials.metrics.test.float32. mcuSupportError · string

trials.metrics.test.float32. profilingJobId · integer

If this is set, then we're still profiling this model. Subscribe to job updates to see when it's done (afterward the metadata will be updated).

trials.metrics.test.float32. profilingJobFailed · boolean

If this is set, then the profiling job failed (get the status by getting the job logs for 'profilingJobId').

trials.metrics.test. int8 · object

Show child attributes

trials.metrics.test.int8. type · enum<string> · required

The type of model

Available options: int8, float32, akida, requiresRetrain

trials.metrics.test.int8. loss · number · required

The model's loss on the validation set after training

trials.metrics.test.int8. confusionMatrix · number[][] · required

Example:

[[31, 1, 0], [2, 27, 3], [1, 0, 39]]

trials.metrics.test.int8. report · object · required

Precision, recall, F1 and support scores

trials.metrics.test.int8. onDevicePerformance · object[] · required

Show child attributes

trials.metrics.test.int8.onDevicePerformance. mcu · string · required

trials.metrics.test.int8.onDevicePerformance. name · string · required

trials.metrics.test.int8.onDevicePerformance. isDefault · boolean · required

trials.metrics.test.int8.onDevicePerformance. latency · number · required

trials.metrics.test.int8.onDevicePerformance. tflite · object · required

Show child attributes

trials.metrics.test.int8.onDevicePerformance.tflite. ramRequired · integer · required

trials.metrics.test.int8.onDevicePerformance.tflite. romRequired · integer · required

trials.metrics.test.int8.onDevicePerformance.tflite. arenaSize · integer · required

trials.metrics.test.int8.onDevicePerformance.tflite. modelSize · integer · required

trials.metrics.test.int8.onDevicePerformance. eon · object · required

Show child attributes

trials.metrics.test.int8.onDevicePerformance.eon. ramRequired · integer · required

trials.metrics.test.int8.onDevicePerformance.eon. romRequired · integer · required

trials.metrics.test.int8.onDevicePerformance.eon. arenaSize · integer · required

trials.metrics.test.int8.onDevicePerformance.eon. modelSize · integer · required

trials.metrics.test.int8.onDevicePerformance. hasPerformance · boolean · required

If false, then no metrics are available for this target

trials.metrics.test.int8.onDevicePerformance. eon_ram_optimized · object

Show child attributes

trials.metrics.test.int8.onDevicePerformance.eon_ram_optimized. ramRequired · integer · required

trials.metrics.test.int8.onDevicePerformance.eon_ram_optimized. romRequired · integer · required

trials.metrics.test.int8.onDevicePerformance.eon_ram_optimized. arenaSize · integer · required

trials.metrics.test.int8.onDevicePerformance.eon_ram_optimized. modelSize · integer · required

trials.metrics.test.int8.onDevicePerformance. customMetrics · object[]

Custom, device-specific performance metrics

Show child attributes

trials.metrics.test.int8.onDevicePerformance.customMetrics. name · string · required

The name of the metric

trials.metrics.test.int8.onDevicePerformance.customMetrics. value · string · required

The value of this metric for this model type

trials.metrics.test.int8.onDevicePerformance. profilingError · string

Specific error during profiling (e.g. model not supported)

trials.metrics.test.int8. visualization · enum<string> · required

Available options: featureExplorer, dataExplorer, none

trials.metrics.test.int8. isSupportedOnMcu · boolean · required

trials.metrics.test.int8. additionalMetrics · object[] · required

Show child attributes

trials.metrics.test.int8.additionalMetrics. name · string · required

trials.metrics.test.int8.additionalMetrics. value · string · required

trials.metrics.test.int8.additionalMetrics. fullPrecisionValue · number · required

trials.metrics.test.int8.additionalMetrics. tooltipText · string

trials.metrics.test.int8.additionalMetrics. link · string

trials.metrics.test.int8. accuracy · number

The model's accuracy on the validation set after training

trials.metrics.test.int8. predictions · object[]

Show child attributes

trials.metrics.test.int8.predictions. sampleId · integer · required

trials.metrics.test.int8.predictions. startMs · number · required

trials.metrics.test.int8.predictions. endMs · number · required

trials.metrics.test.int8.predictions. prediction · string · required

trials.metrics.test.int8.predictions. label · string

trials.metrics.test.int8.predictions. predictionCorrect · boolean

trials.metrics.test.int8.predictions. f1Score · number

Only set for object detection projects

trials.metrics.test.int8.predictions. anomalyScores · number[][]

Only set for visual anomaly projects. 2D array of shape (n, n) with raw anomaly scores, where n varies based on the image input size and the specific visual anomaly algorithm used. The scores corresponds to each grid cell in the image's spatial matrix.

trials.metrics.test.int8.predictions. boundingBoxes · object[]

Only set for object detection projects. Coordinates are scaled 0..1, not absolute values.

Show child attributes

trials.metrics.test.int8.predictions.boundingBoxes. label · string · required

trials.metrics.test.int8.predictions.boundingBoxes. x · number · required

trials.metrics.test.int8.predictions.boundingBoxes. y · number · required

trials.metrics.test.int8.predictions.boundingBoxes. width · number · required

trials.metrics.test.int8.predictions.boundingBoxes. height · number · required

trials.metrics.test.int8.predictions.boundingBoxes. score · number · required

trials.metrics.test.int8. mcuSupportError · string

trials.metrics.test.int8. profilingJobId · integer

If this is set, then we're still profiling this model. Subscribe to job updates to see when it's done (afterward the metadata will be updated).

trials.metrics.test.int8. profilingJobFailed · boolean

If this is set, then the profiling job failed (get the status by getting the job logs for 'profilingJobId').

trials.metrics. train · object

Show child attributes

trials.metrics.train. float32 · object

Show child attributes

trials.metrics.train.float32. type · enum<string> · required

The type of model

Available options: int8, float32, akida, requiresRetrain

trials.metrics.train.float32. loss · number · required

The model's loss on the validation set after training

trials.metrics.train.float32. confusionMatrix · number[][] · required

Example:

[[31, 1, 0], [2, 27, 3], [1, 0, 39]]

trials.metrics.train.float32. report · object · required

Precision, recall, F1 and support scores

trials.metrics.train.float32. onDevicePerformance · object[] · required

Show child attributes

trials.metrics.train.float32.onDevicePerformance. mcu · string · required

trials.metrics.train.float32.onDevicePerformance. name · string · required

trials.metrics.train.float32.onDevicePerformance. isDefault · boolean · required

trials.metrics.train.float32.onDevicePerformance. latency · number · required

trials.metrics.train.float32.onDevicePerformance. tflite · object · required

Show child attributes

trials.metrics.train.float32.onDevicePerformance.tflite. ramRequired · integer · required

trials.metrics.train.float32.onDevicePerformance.tflite. romRequired · integer · required

trials.metrics.train.float32.onDevicePerformance.tflite. arenaSize · integer · required

trials.metrics.train.float32.onDevicePerformance.tflite. modelSize · integer · required

trials.metrics.train.float32.onDevicePerformance. eon · object · required

Show child attributes

trials.metrics.train.float32.onDevicePerformance.eon. ramRequired · integer · required

trials.metrics.train.float32.onDevicePerformance.eon. romRequired · integer · required

trials.metrics.train.float32.onDevicePerformance.eon. arenaSize · integer · required

trials.metrics.train.float32.onDevicePerformance.eon. modelSize · integer · required

trials.metrics.train.float32.onDevicePerformance. hasPerformance · boolean · required

If false, then no metrics are available for this target

trials.metrics.train.float32.onDevicePerformance. eon_ram_optimized · object

Show child attributes

trials.metrics.train.float32.onDevicePerformance.eon_ram_optimized. ramRequired · integer · required

trials.metrics.train.float32.onDevicePerformance.eon_ram_optimized. romRequired · integer · required

trials.metrics.train.float32.onDevicePerformance.eon_ram_optimized. arenaSize · integer · required

trials.metrics.train.float32.onDevicePerformance.eon_ram_optimized. modelSize · integer · required

trials.metrics.train.float32.onDevicePerformance. customMetrics · object[]

Custom, device-specific performance metrics

Show child attributes

trials.metrics.train.float32.onDevicePerformance.customMetrics. name · string · required

The name of the metric

trials.metrics.train.float32.onDevicePerformance.customMetrics. value · string · required

The value of this metric for this model type

trials.metrics.train.float32.onDevicePerformance. profilingError · string

Specific error during profiling (e.g. model not supported)

trials.metrics.train.float32. visualization · enum<string> · required

Available options: featureExplorer, dataExplorer, none

trials.metrics.train.float32. isSupportedOnMcu · boolean · required

trials.metrics.train.float32. additionalMetrics · object[] · required

Show child attributes

trials.metrics.train.float32.additionalMetrics. name · string · required

trials.metrics.train.float32.additionalMetrics. value · string · required

trials.metrics.train.float32.additionalMetrics. fullPrecisionValue · number · required

trials.metrics.train.float32.additionalMetrics. tooltipText · string

trials.metrics.train.float32.additionalMetrics. link · string

trials.metrics.train.float32. accuracy · number

The model's accuracy on the validation set after training

trials.metrics.train.float32. predictions · object[]

Show child attributes

trials.metrics.train.float32.predictions. sampleId · integer · required

trials.metrics.train.float32.predictions. startMs · number · required

trials.metrics.train.float32.predictions. endMs · number · required

trials.metrics.train.float32.predictions. prediction · string · required

trials.metrics.train.float32.predictions. label · string

trials.metrics.train.float32.predictions. predictionCorrect · boolean

trials.metrics.train.float32.predictions. f1Score · number

Only set for object detection projects

trials.metrics.train.float32.predictions. anomalyScores · number[][]

Only set for visual anomaly projects. 2D array of shape (n, n) with raw anomaly scores, where n varies based on the image input size and the specific visual anomaly algorithm used. The scores corresponds to each grid cell in the image's spatial matrix.

trials.metrics.train.float32.predictions. boundingBoxes · object[]

Only set for object detection projects. Coordinates are scaled 0..1, not absolute values.

Show child attributes

trials.metrics.train.float32.predictions.boundingBoxes. label · string · required

trials.metrics.train.float32.predictions.boundingBoxes. x · number · required

trials.metrics.train.float32.predictions.boundingBoxes. y · number · required

trials.metrics.train.float32.predictions.boundingBoxes. width · number · required

trials.metrics.train.float32.predictions.boundingBoxes. height · number · required

trials.metrics.train.float32.predictions.boundingBoxes. score · number · required

trials.metrics.train.float32. mcuSupportError · string

trials.metrics.train.float32. profilingJobId · integer

If this is set, then we're still profiling this model. Subscribe to job updates to see when it's done (afterward the metadata will be updated).

trials.metrics.train.float32. profilingJobFailed · boolean

If this is set, then the profiling job failed (get the status by getting the job logs for 'profilingJobId').

trials.metrics.train. int8 · object

Show child attributes

trials.metrics.train.int8. type · enum<string> · required

The type of model

Available options: int8, float32, akida, requiresRetrain

trials.metrics.train.int8. loss · number · required

The model's loss on the validation set after training

trials.metrics.train.int8. confusionMatrix · number[][] · required

Example:

[[31, 1, 0], [2, 27, 3], [1, 0, 39]]

trials.metrics.train.int8. report · object · required

Precision, recall, F1 and support scores

trials.metrics.train.int8. onDevicePerformance · object[] · required

Show child attributes

trials.metrics.train.int8.onDevicePerformance. mcu · string · required

trials.metrics.train.int8.onDevicePerformance. name · string · required

trials.metrics.train.int8.onDevicePerformance. isDefault · boolean · required

trials.metrics.train.int8.onDevicePerformance. latency · number · required

trials.metrics.train.int8.onDevicePerformance. tflite · object · required

Show child attributes

trials.metrics.train.int8.onDevicePerformance.tflite. ramRequired · integer · required

trials.metrics.train.int8.onDevicePerformance.tflite. romRequired · integer · required

trials.metrics.train.int8.onDevicePerformance.tflite. arenaSize · integer · required

trials.metrics.train.int8.onDevicePerformance.tflite. modelSize · integer · required

trials.metrics.train.int8.onDevicePerformance. eon · object · required

Show child attributes

trials.metrics.train.int8.onDevicePerformance.eon. ramRequired · integer · required

trials.metrics.train.int8.onDevicePerformance.eon. romRequired · integer · required

trials.metrics.train.int8.onDevicePerformance.eon. arenaSize · integer · required

trials.metrics.train.int8.onDevicePerformance.eon. modelSize · integer · required

trials.metrics.train.int8.onDevicePerformance. hasPerformance · boolean · required

If false, then no metrics are available for this target

trials.metrics.train.int8.onDevicePerformance. eon_ram_optimized · object

Show child attributes

trials.metrics.train.int8.onDevicePerformance.eon_ram_optimized. ramRequired · integer · required

trials.metrics.train.int8.onDevicePerformance.eon_ram_optimized. romRequired · integer · required

trials.metrics.train.int8.onDevicePerformance.eon_ram_optimized. arenaSize · integer · required

trials.metrics.train.int8.onDevicePerformance.eon_ram_optimized. modelSize · integer · required

trials.metrics.train.int8.onDevicePerformance. customMetrics · object[]

Custom, device-specific performance metrics

Show child attributes

trials.metrics.train.int8.onDevicePerformance.customMetrics. name · string · required

The name of the metric

trials.metrics.train.int8.onDevicePerformance.customMetrics. value · string · required

The value of this metric for this model type

trials.metrics.train.int8.onDevicePerformance. profilingError · string

Specific error during profiling (e.g. model not supported)

trials.metrics.train.int8. visualization · enum<string> · required

Available options: featureExplorer, dataExplorer, none

trials.metrics.train.int8. isSupportedOnMcu · boolean · required

trials.metrics.train.int8. additionalMetrics · object[] · required

Show child attributes

trials.metrics.train.int8.additionalMetrics. name · string · required

trials.metrics.train.int8.additionalMetrics. value · string · required

trials.metrics.train.int8.additionalMetrics. fullPrecisionValue · number · required

trials.metrics.train.int8.additionalMetrics. tooltipText · string

trials.metrics.train.int8.additionalMetrics. link · string

trials.metrics.train.int8. accuracy · number

The model's accuracy on the validation set after training

trials.metrics.train.int8. predictions · object[]

Show child attributes

trials.metrics.train.int8.predictions. sampleId · integer · required

trials.metrics.train.int8.predictions. startMs · number · required

trials.metrics.train.int8.predictions. endMs · number · required

trials.metrics.train.int8.predictions. prediction · string · required

trials.metrics.train.int8.predictions. label · string

trials.metrics.train.int8.predictions. predictionCorrect · boolean

trials.metrics.train.int8.predictions. f1Score · number

Only set for object detection projects

trials.metrics.train.int8.predictions. anomalyScores · number[][]

Only set for visual anomaly projects. 2D array of shape (n, n) with raw anomaly scores, where n varies based on the image input size and the specific visual anomaly algorithm used. The scores corresponds to each grid cell in the image's spatial matrix.

trials.metrics.train.int8.predictions. boundingBoxes · object[]

Only set for object detection projects. Coordinates are scaled 0..1, not absolute values.

Show child attributes

trials.metrics.train.int8.predictions.boundingBoxes. label · string · required

trials.metrics.train.int8.predictions.boundingBoxes. x · number · required

trials.metrics.train.int8.predictions.boundingBoxes. y · number · required

trials.metrics.train.int8.predictions.boundingBoxes. width · number · required

trials.metrics.train.int8.predictions.boundingBoxes. height · number · required

trials.metrics.train.int8.predictions.boundingBoxes. score · number · required

trials.metrics.train.int8. mcuSupportError · string

trials.metrics.train.int8. profilingJobId · integer

If this is set, then we're still profiling this model. Subscribe to job updates to see when it's done (afterward the metadata will be updated).

trials.metrics.train.int8. profilingJobFailed · boolean

If this is set, then the profiling job failed (get the status by getting the job logs for 'profilingJobId').

trials.metrics. validation · object

Show child attributes

trials.metrics.validation. float32 · object

Show child attributes

trials.metrics.validation.float32. type · enum<string> · required

The type of model

Available options: int8, float32, akida, requiresRetrain

trials.metrics.validation.float32. loss · number · required

The model's loss on the validation set after training

trials.metrics.validation.float32. confusionMatrix · number[][] · required

Example:

[[31, 1, 0], [2, 27, 3], [1, 0, 39]]

trials.metrics.validation.float32. report · object · required

Precision, recall, F1 and support scores

trials.metrics.validation.float32. onDevicePerformance · object[] · required

Show child attributes

trials.metrics.validation.float32.onDevicePerformance. mcu · string · required

trials.metrics.validation.float32.onDevicePerformance. name · string · required

trials.metrics.validation.float32.onDevicePerformance. isDefault · boolean · required

trials.metrics.validation.float32.onDevicePerformance. latency · number · required

trials.metrics.validation.float32.onDevicePerformance. tflite · object · required

Show child attributes

trials.metrics.validation.float32.onDevicePerformance.tflite. ramRequired · integer · required

trials.metrics.validation.float32.onDevicePerformance.tflite. romRequired · integer · required

trials.metrics.validation.float32.onDevicePerformance.tflite. arenaSize · integer · required

trials.metrics.validation.float32.onDevicePerformance.tflite. modelSize · integer · required

trials.metrics.validation.float32.onDevicePerformance. eon · object · required

Show child attributes

trials.metrics.validation.float32.onDevicePerformance.eon. ramRequired · integer · required

trials.metrics.validation.float32.onDevicePerformance.eon. romRequired · integer · required

trials.metrics.validation.float32.onDevicePerformance.eon. arenaSize · integer · required

trials.metrics.validation.float32.onDevicePerformance.eon. modelSize · integer · required

trials.metrics.validation.float32.onDevicePerformance. hasPerformance · boolean · required

If false, then no metrics are available for this target

trials.metrics.validation.float32.onDevicePerformance. eon_ram_optimized · object

Show child attributes

trials.metrics.validation.float32.onDevicePerformance.eon_ram_optimized. ramRequired · integer · required

trials.metrics.validation.float32.onDevicePerformance.eon_ram_optimized. romRequired · integer · required

trials.metrics.validation.float32.onDevicePerformance.eon_ram_optimized. arenaSize · integer · required

trials.metrics.validation.float32.onDevicePerformance.eon_ram_optimized. modelSize · integer · required

trials.metrics.validation.float32.onDevicePerformance. customMetrics · object[]

Custom, device-specific performance metrics

Show child attributes

trials.metrics.validation.float32.onDevicePerformance.customMetrics. name · string · required

The name of the metric

trials.metrics.validation.float32.onDevicePerformance.customMetrics. value · string · required

The value of this metric for this model type

trials.metrics.validation.float32.onDevicePerformance. profilingError · string

Specific error during profiling (e.g. model not supported)

trials.metrics.validation.float32. visualization · enum<string> · required

Available options: featureExplorer, dataExplorer, none

trials.metrics.validation.float32. isSupportedOnMcu · boolean · required

trials.metrics.validation.float32. additionalMetrics · object[] · required

Show child attributes

trials.metrics.validation.float32.additionalMetrics. name · string · required

trials.metrics.validation.float32.additionalMetrics. value · string · required

trials.metrics.validation.float32.additionalMetrics. fullPrecisionValue · number · required

trials.metrics.validation.float32.additionalMetrics. tooltipText · string

trials.metrics.validation.float32.additionalMetrics. link · string

trials.metrics.validation.float32. accuracy · number

The model's accuracy on the validation set after training

trials.metrics.validation.float32. predictions · object[]

Show child attributes

trials.metrics.validation.float32.predictions. sampleId · integer · required

trials.metrics.validation.float32.predictions. startMs · number · required

trials.metrics.validation.float32.predictions. endMs · number · required

trials.metrics.validation.float32.predictions. prediction · string · required

trials.metrics.validation.float32.predictions. label · string

trials.metrics.validation.float32.predictions. predictionCorrect · boolean

trials.metrics.validation.float32.predictions. f1Score · number

Only set for object detection projects

trials.metrics.validation.float32.predictions. anomalyScores · number[][]

Only set for visual anomaly projects. 2D array of shape (n, n) with raw anomaly scores, where n varies based on the image input size and the specific visual anomaly algorithm used. The scores corresponds to each grid cell in the image's spatial matrix.

trials.metrics.validation.float32.predictions. boundingBoxes · object[]

Only set for object detection projects. Coordinates are scaled 0..1, not absolute values.

Show child attributes

trials.metrics.validation.float32.predictions.boundingBoxes. label · string · required

trials.metrics.validation.float32.predictions.boundingBoxes. x · number · required

trials.metrics.validation.float32.predictions.boundingBoxes. y · number · required

trials.metrics.validation.float32.predictions.boundingBoxes. width · number · required

trials.metrics.validation.float32.predictions.boundingBoxes. height · number · required

trials.metrics.validation.float32.predictions.boundingBoxes. score · number · required

trials.metrics.validation.float32. mcuSupportError · string

trials.metrics.validation.float32. profilingJobId · integer

If this is set, then we're still profiling this model. Subscribe to job updates to see when it's done (afterward the metadata will be updated).

trials.metrics.validation.float32. profilingJobFailed · boolean

If this is set, then the profiling job failed (get the status by getting the job logs for 'profilingJobId').

trials.metrics.validation. int8 · object

Show child attributes

trials.metrics.validation.int8. type · enum<string> · required

The type of model

Available options: int8, float32, akida, requiresRetrain

trials.metrics.validation.int8. loss · number · required

The model's loss on the validation set after training

trials.metrics.validation.int8. confusionMatrix · number[][] · required

Example:

[[31, 1, 0], [2, 27, 3], [1, 0, 39]]

trials.metrics.validation.int8. report · object · required

Precision, recall, F1 and support scores

trials.metrics.validation.int8. onDevicePerformance · object[] · required

Show child attributes

trials.metrics.validation.int8.onDevicePerformance. mcu · string · required

trials.metrics.validation.int8.onDevicePerformance. name · string · required

trials.metrics.validation.int8.onDevicePerformance. isDefault · boolean · required

trials.metrics.validation.int8.onDevicePerformance. latency · number · required

trials.metrics.validation.int8.onDevicePerformance. tflite · object · required

Show child attributes

trials.metrics.validation.int8.onDevicePerformance.tflite. ramRequired · integer · required

trials.metrics.validation.int8.onDevicePerformance.tflite. romRequired · integer · required

trials.metrics.validation.int8.onDevicePerformance.tflite. arenaSize · integer · required

trials.metrics.validation.int8.onDevicePerformance.tflite. modelSize · integer · required

trials.metrics.validation.int8.onDevicePerformance. eon · object · required

Show child attributes

trials.metrics.validation.int8.onDevicePerformance.eon. ramRequired · integer · required

trials.metrics.validation.int8.onDevicePerformance.eon. romRequired · integer · required

trials.metrics.validation.int8.onDevicePerformance.eon. arenaSize · integer · required

trials.metrics.validation.int8.onDevicePerformance.eon. modelSize · integer · required

trials.metrics.validation.int8.onDevicePerformance. hasPerformance · boolean · required

If false, then no metrics are available for this target

trials.metrics.validation.int8.onDevicePerformance. eon_ram_optimized · object

Show child attributes

trials.metrics.validation.int8.onDevicePerformance.eon_ram_optimized. ramRequired · integer · required

trials.metrics.validation.int8.onDevicePerformance.eon_ram_optimized. romRequired · integer · required

trials.metrics.validation.int8.onDevicePerformance.eon_ram_optimized. arenaSize · integer · required

trials.metrics.validation.int8.onDevicePerformance.eon_ram_optimized. modelSize · integer · required

trials.metrics.validation.int8.onDevicePerformance. customMetrics · object[]

Custom, device-specific performance metrics

Show child attributes

trials.metrics.validation.int8.onDevicePerformance.customMetrics. name · string · required

The name of the metric

trials.metrics.validation.int8.onDevicePerformance.customMetrics. value · string · required

The value of this metric for this model type

trials.metrics.validation.int8.onDevicePerformance. profilingError · string

Specific error during profiling (e.g. model not supported)

trials.metrics.validation.int8. visualization · enum<string> · required

Available options: featureExplorer, dataExplorer, none

trials.metrics.validation.int8. isSupportedOnMcu · boolean · required

trials.metrics.validation.int8. additionalMetrics · object[] · required

Show child attributes

trials.metrics.validation.int8.additionalMetrics. name · string · required

trials.metrics.validation.int8.additionalMetrics. value · string · required

trials.metrics.validation.int8.additionalMetrics. fullPrecisionValue · number · required

trials.metrics.validation.int8.additionalMetrics. tooltipText · string

trials.metrics.validation.int8.additionalMetrics. link · string

trials.metrics.validation.int8. accuracy · number

The model's accuracy on the validation set after training

trials.metrics.validation.int8. predictions · object[]

Show child attributes

trials.metrics.validation.int8.predictions. sampleId · integer · required

trials.metrics.validation.int8.predictions. startMs · number · required

trials.metrics.validation.int8.predictions. endMs · number · required

trials.metrics.validation.int8.predictions. prediction · string · required

trials.metrics.validation.int8.predictions. label · string

trials.metrics.validation.int8.predictions. predictionCorrect · boolean

trials.metrics.validation.int8.predictions. f1Score · number

Only set for object detection projects

trials.metrics.validation.int8.predictions. anomalyScores · number[][]

Only set for visual anomaly projects. 2D array of shape (n, n) with raw anomaly scores, where n varies based on the image input size and the specific visual anomaly algorithm used. The scores corresponds to each grid cell in the image's spatial matrix.

trials.metrics.validation.int8.predictions. boundingBoxes · object[]

Only set for object detection projects. Coordinates are scaled 0..1, not absolute values.

Show child attributes

trials.metrics.validation.int8.predictions.boundingBoxes. label · string · required

trials.metrics.validation.int8.predictions.boundingBoxes. x · number · required

trials.metrics.validation.int8.predictions.boundingBoxes. y · number · required

trials.metrics.validation.int8.predictions.boundingBoxes. width · number · required

trials.metrics.validation.int8.predictions.boundingBoxes. height · number · required

trials.metrics.validation.int8.predictions.boundingBoxes. score · number · required

trials.metrics.validation.int8. mcuSupportError · string

trials.metrics.validation.int8. profilingJobId · integer

If this is set, then we're still profiling this model. Subscribe to job updates to see when it's done (afterward the metadata will be updated).

trials.metrics.validation.int8. profilingJobFailed · boolean

If this is set, then the profiling job failed (get the status by getting the job logs for 'profilingJobId').

trials. impulseAddedToProject · object

Show child attributes

trials.impulseAddedToProject. impulseId · integer · required

trials.impulseAddedToProject. link · string · required

trials. createdInPostProcessing · boolean

projectDataType · enum<string> · required

Available options: audio, image, motion, other

workers · object[] · required

Show child attributes

workers. workerId · string · required

workers. status · enum<string> · required

Available options: pending, ready, busy

nextRunIndex · integer · required

Index of the next run to be created. Used to pre-populate the name of the next run.

canExtendSearch · boolean · required

Whether the search can be extended to evaluate more candidate models. Extending is possible if the search space contains candidate models that are expected to perform better than the current best candidate. And extending is also possible if the previous run was paused due to the total runtime limit being exceeded.

isWhitelabel · boolean · required

totalTrainingTimeExceeded · boolean · required

Whether the total training time has exceeded the defined limit for the current run.

error · string

Optional error description (set if 'success' was false)

tunerJobId · integer

Actual tuner process, job message events will be tagged with this ID

tunerCoordinatorJobId · integer

The coordinator pod, attach the job runner to this process for finished events

continuationJobId · integer

Job ID for the initial job this job continuous the hyperparameter search process for.

tuningAlgorithm · enum<string>

Tuning algorithm to use to search hyperparameter space

Available options: random, hyperband, bayesian, custom

jobError · string