curl --request GET \
--url https://studio.edgeimpulse.com/v1/api/{projectId}/optimize/{tunerCoordinatorJobId}/state \
--header 'x-api-key: <api-key>'import requests
url = "https://studio.edgeimpulse.com/v1/api/{projectId}/optimize/{tunerCoordinatorJobId}/state"
headers = {"x-api-key": "<api-key>"}
response = requests.get(url, headers=headers)
print(response.text)const options = {method: 'GET', headers: {'x-api-key': '<api-key>'}};
fetch('https://studio.edgeimpulse.com/v1/api/{projectId}/optimize/{tunerCoordinatorJobId}/state', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://studio.edgeimpulse.com/v1/api/{projectId}/optimize/{tunerCoordinatorJobId}/state",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "GET",
CURLOPT_HTTPHEADER => [
"x-api-key: <api-key>"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"net/http"
"io"
)
func main() {
url := "https://studio.edgeimpulse.com/v1/api/{projectId}/optimize/{tunerCoordinatorJobId}/state"
req, _ := http.NewRequest("GET", url, nil)
req.Header.Add("x-api-key", "<api-key>")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.get("https://studio.edgeimpulse.com/v1/api/{projectId}/optimize/{tunerCoordinatorJobId}/state")
.header("x-api-key", "<api-key>")
.asString();require 'uri'
require 'net/http'
url = URI("https://studio.edgeimpulse.com/v1/api/{projectId}/optimize/{tunerCoordinatorJobId}/state")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Get.new(url)
request["x-api-key"] = '<api-key>'
response = http.request(request)
puts response.read_body{
"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,
"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>",
"earlyStopping": true,
"earlyStoppingWindowSize": 123,
"earlyStoppingImprovementBar": 123,
"MOMF": true,
"verboseLogging": true,
"disableConstraints": true,
"disableDeduplicate": true,
"maxTotalTrainingTime": 123,
"tunerChildJobMemoryMiB": 32768,
"tunerSpaceOptions": {},
"space": [
{
"inputBlocks": [
{}
],
"dspBlocks": [
{}
],
"learnBlocks": [
[
{}
]
],
"parameters": {}
}
],
"searchSpaceTemplate": {
"classification": true,
"anomaly": true,
"regression": true
},
"searchSpaceSource": {
"templateTitle": "<string>",
"runTitle": "<string>",
"impulseTitle": "<string>"
}
},
"status": {
"numPendingTrials": 123,
"numRunningTrials": 123,
"numCompletedTrials": 123,
"numFailedTrials": 123,
"numReadyWorkers": 123,
"numBusyWorkers": 123,
"numPendingWorkers": 123
},
"tunerJobIsRunning": true,
"trials": [
{
"id": "<string>",
"name": "<string>",
"blocks": [
{
"id": 123,
"retries": 123,
"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": {
"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>"
}
],
"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
}
],
"labelMapPredictions": {}
}
],
"mcuSupportError": "<string>",
"profilingJobId": 123,
"profilingJobFailed": true
},
"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>"
}
],
"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
}
],
"labelMapPredictions": {}
}
],
"mcuSupportError": "<string>",
"profilingJobId": 123,
"profilingJobFailed": true
}
},
"train": {
"float32": {
"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>"
}
],
"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
}
],
"labelMapPredictions": {}
}
],
"mcuSupportError": "<string>",
"profilingJobId": 123,
"profilingJobFailed": true
},
"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>"
}
],
"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
}
],
"labelMapPredictions": {}
}
],
"mcuSupportError": "<string>",
"profilingJobId": 123,
"profilingJobFailed": true
}
},
"validation": {
"float32": {
"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>"
}
],
"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
}
],
"labelMapPredictions": {}
}
],
"mcuSupportError": "<string>",
"profilingJobId": 123,
"profilingJobFailed": true
},
"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>"
}
],
"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
}
],
"labelMapPredictions": {}
}
],
"mcuSupportError": "<string>",
"profilingJobId": 123,
"profilingJobFailed": true
}
}
},
"impulseAddedToProject": {
"impulseId": 123,
"link": "<string>"
},
"createdInPostProcessing": true
}
],
"workers": [
{
"workerId": "<string>"
}
],
"nextRunIndex": 123,
"canExtendSearch": true,
"isWhitelabel": true,
"totalTrainingTimeExceeded": true,
"error": "<string>",
"tunerJobId": 123,
"tunerCoordinatorJobId": 123,
"continuationJobId": 123,
"jobError": "<string>"
}Retrieves EON tuner state for a run.
Retrieves the EON tuner state for a specific run.
curl --request GET \
--url https://studio.edgeimpulse.com/v1/api/{projectId}/optimize/{tunerCoordinatorJobId}/state \
--header 'x-api-key: <api-key>'import requests
url = "https://studio.edgeimpulse.com/v1/api/{projectId}/optimize/{tunerCoordinatorJobId}/state"
headers = {"x-api-key": "<api-key>"}
response = requests.get(url, headers=headers)
print(response.text)const options = {method: 'GET', headers: {'x-api-key': '<api-key>'}};
fetch('https://studio.edgeimpulse.com/v1/api/{projectId}/optimize/{tunerCoordinatorJobId}/state', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://studio.edgeimpulse.com/v1/api/{projectId}/optimize/{tunerCoordinatorJobId}/state",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "GET",
CURLOPT_HTTPHEADER => [
"x-api-key: <api-key>"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"net/http"
"io"
)
func main() {
url := "https://studio.edgeimpulse.com/v1/api/{projectId}/optimize/{tunerCoordinatorJobId}/state"
req, _ := http.NewRequest("GET", url, nil)
req.Header.Add("x-api-key", "<api-key>")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.get("https://studio.edgeimpulse.com/v1/api/{projectId}/optimize/{tunerCoordinatorJobId}/state")
.header("x-api-key", "<api-key>")
.asString();require 'uri'
require 'net/http'
url = URI("https://studio.edgeimpulse.com/v1/api/{projectId}/optimize/{tunerCoordinatorJobId}/state")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Get.new(url)
request["x-api-key"] = '<api-key>'
response = http.request(request)
puts response.read_body{
"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,
"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>",
"earlyStopping": true,
"earlyStoppingWindowSize": 123,
"earlyStoppingImprovementBar": 123,
"MOMF": true,
"verboseLogging": true,
"disableConstraints": true,
"disableDeduplicate": true,
"maxTotalTrainingTime": 123,
"tunerChildJobMemoryMiB": 32768,
"tunerSpaceOptions": {},
"space": [
{
"inputBlocks": [
{}
],
"dspBlocks": [
{}
],
"learnBlocks": [
[
{}
]
],
"parameters": {}
}
],
"searchSpaceTemplate": {
"classification": true,
"anomaly": true,
"regression": true
},
"searchSpaceSource": {
"templateTitle": "<string>",
"runTitle": "<string>",
"impulseTitle": "<string>"
}
},
"status": {
"numPendingTrials": 123,
"numRunningTrials": 123,
"numCompletedTrials": 123,
"numFailedTrials": 123,
"numReadyWorkers": 123,
"numBusyWorkers": 123,
"numPendingWorkers": 123
},
"tunerJobIsRunning": true,
"trials": [
{
"id": "<string>",
"name": "<string>",
"blocks": [
{
"id": 123,
"retries": 123,
"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": {
"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>"
}
],
"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
}
],
"labelMapPredictions": {}
}
],
"mcuSupportError": "<string>",
"profilingJobId": 123,
"profilingJobFailed": true
},
"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>"
}
],
"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
}
],
"labelMapPredictions": {}
}
],
"mcuSupportError": "<string>",
"profilingJobId": 123,
"profilingJobFailed": true
}
},
"train": {
"float32": {
"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>"
}
],
"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
}
],
"labelMapPredictions": {}
}
],
"mcuSupportError": "<string>",
"profilingJobId": 123,
"profilingJobFailed": true
},
"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>"
}
],
"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
}
],
"labelMapPredictions": {}
}
],
"mcuSupportError": "<string>",
"profilingJobId": 123,
"profilingJobFailed": true
}
},
"validation": {
"float32": {
"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>"
}
],
"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
}
],
"labelMapPredictions": {}
}
],
"mcuSupportError": "<string>",
"profilingJobId": 123,
"profilingJobFailed": true
},
"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>"
}
],
"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
}
],
"labelMapPredictions": {}
}
],
"mcuSupportError": "<string>",
"profilingJobId": 123,
"profilingJobFailed": true
}
}
},
"impulseAddedToProject": {
"impulseId": 123,
"link": "<string>"
},
"createdInPostProcessing": true
}
],
"workers": [
{
"workerId": "<string>"
}
],
"nextRunIndex": 123,
"canExtendSearch": true,
"isWhitelabel": true,
"totalTrainingTimeExceeded": true,
"error": "<string>",
"tunerJobId": 123,
"tunerCoordinatorJobId": 123,
"continuationJobId": 123,
"jobError": "<string>"
}Authorizations
Path Parameters
Project ID
Tuner coordinator job ID
Response
OK
Whether the operation succeeded
Show child attributes
Show child attributes
Show child attributes
Show child attributes
Whether the job is active (if false => finished)
Show child attributes
Show child attributes
audio, image, motion, other Show child attributes
Show child attributes
Index of the next run to be created. Used to pre-populate the name of the next run.
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.
Whether the total training time has exceeded the defined limit for the current run.
Optional error description (set if 'success' was false)
Actual tuner process, job message events will be tagged with this ID
The coordinator pod, attach the job runner to this process for finished events
Job ID for the initial job this job continuous the hyperparameter search process for.
Tuning algorithm to use to search hyperparameter space
random, hyperband, bayesian, custom Was this page helpful?