Update config

Update config

curl --request POST \
  --url https://studio.edgeimpulse.com/v1/api/{projectId}/optimize/config \
  --header 'Content-Type: application/json' \
  --header 'x-api-key: <api-key>' \
  --data '
{
  "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": {}
    }
  ]
}
'

import requests

url = "https://studio.edgeimpulse.com/v1/api/{projectId}/optimize/config"

payload = {
    "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": {}
        }
    ]
}
headers = {
    "x-api-key": "<api-key>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {'x-api-key': '<api-key>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    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: {}}]
  })
};

fetch('https://studio.edgeimpulse.com/v1/api/{projectId}/optimize/config', 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/config",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    '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' => [
                                
                ]
        ]
    ]
  ]),
  CURLOPT_HTTPHEADER => [
    "Content-Type: application/json",
    "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"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://studio.edgeimpulse.com/v1/api/{projectId}/optimize/config"

	payload := strings.NewReader("{\n  \"targetLatency\": 0,\n  \"targetDevice\": {\n    \"name\": \"cortex-m4f-80mhz\",\n    \"ram\": 1024,\n    \"rom\": 1024\n  },\n  \"name\": \"<string>\",\n  \"compiler\": [\n    \"<string>\"\n  ],\n  \"precision\": [\n    \"<string>\"\n  ],\n  \"trainingCycles\": 5,\n  \"tuningMaxTrials\": 2,\n  \"tuningWorkers\": 1,\n  \"initialTrials\": 5,\n  \"optimizationRounds\": 3,\n  \"trialsPerOptimizationRound\": 3,\n  \"minMACCS\": 123,\n  \"maxMACCS\": 123,\n  \"notificationOnCompletion\": true,\n  \"importProjectMetrics\": true,\n  \"importResourceMetrics\": true,\n  \"numImportProjectMetrics\": 123,\n  \"numImportResourceMetrics\": 123,\n  \"enableSEM\": true,\n  \"accuracySEM\": 123,\n  \"latencySEM\": 123,\n  \"optimizationObjectives\": [\n    {\n      \"objective\": \"<string>\",\n      \"label\": \"<string>\",\n      \"weight\": 123\n    }\n  ],\n  \"rawObjectives\": \"<string>\",\n  \"earlyStopping\": true,\n  \"earlyStoppingWindowSize\": 123,\n  \"earlyStoppingImprovementBar\": 123,\n  \"MOMF\": true,\n  \"verboseLogging\": true,\n  \"disableConstraints\": true,\n  \"disableDeduplicate\": true,\n  \"maxTotalTrainingTime\": 123,\n  \"tunerChildJobMemoryMiB\": 32768,\n  \"tunerSpaceOptions\": {},\n  \"space\": [\n    {\n      \"inputBlocks\": [\n        {}\n      ],\n      \"dspBlocks\": [\n        {}\n      ],\n      \"learnBlocks\": [\n        [\n          {}\n        ]\n      ],\n      \"parameters\": {}\n    }\n  ]\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("x-api-key", "<api-key>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://studio.edgeimpulse.com/v1/api/{projectId}/optimize/config")
  .header("x-api-key", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"targetLatency\": 0,\n  \"targetDevice\": {\n    \"name\": \"cortex-m4f-80mhz\",\n    \"ram\": 1024,\n    \"rom\": 1024\n  },\n  \"name\": \"<string>\",\n  \"compiler\": [\n    \"<string>\"\n  ],\n  \"precision\": [\n    \"<string>\"\n  ],\n  \"trainingCycles\": 5,\n  \"tuningMaxTrials\": 2,\n  \"tuningWorkers\": 1,\n  \"initialTrials\": 5,\n  \"optimizationRounds\": 3,\n  \"trialsPerOptimizationRound\": 3,\n  \"minMACCS\": 123,\n  \"maxMACCS\": 123,\n  \"notificationOnCompletion\": true,\n  \"importProjectMetrics\": true,\n  \"importResourceMetrics\": true,\n  \"numImportProjectMetrics\": 123,\n  \"numImportResourceMetrics\": 123,\n  \"enableSEM\": true,\n  \"accuracySEM\": 123,\n  \"latencySEM\": 123,\n  \"optimizationObjectives\": [\n    {\n      \"objective\": \"<string>\",\n      \"label\": \"<string>\",\n      \"weight\": 123\n    }\n  ],\n  \"rawObjectives\": \"<string>\",\n  \"earlyStopping\": true,\n  \"earlyStoppingWindowSize\": 123,\n  \"earlyStoppingImprovementBar\": 123,\n  \"MOMF\": true,\n  \"verboseLogging\": true,\n  \"disableConstraints\": true,\n  \"disableDeduplicate\": true,\n  \"maxTotalTrainingTime\": 123,\n  \"tunerChildJobMemoryMiB\": 32768,\n  \"tunerSpaceOptions\": {},\n  \"space\": [\n    {\n      \"inputBlocks\": [\n        {}\n      ],\n      \"dspBlocks\": [\n        {}\n      ],\n      \"learnBlocks\": [\n        [\n          {}\n        ]\n      ],\n      \"parameters\": {}\n    }\n  ]\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://studio.edgeimpulse.com/v1/api/{projectId}/optimize/config")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["x-api-key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"targetLatency\": 0,\n  \"targetDevice\": {\n    \"name\": \"cortex-m4f-80mhz\",\n    \"ram\": 1024,\n    \"rom\": 1024\n  },\n  \"name\": \"<string>\",\n  \"compiler\": [\n    \"<string>\"\n  ],\n  \"precision\": [\n    \"<string>\"\n  ],\n  \"trainingCycles\": 5,\n  \"tuningMaxTrials\": 2,\n  \"tuningWorkers\": 1,\n  \"initialTrials\": 5,\n  \"optimizationRounds\": 3,\n  \"trialsPerOptimizationRound\": 3,\n  \"minMACCS\": 123,\n  \"maxMACCS\": 123,\n  \"notificationOnCompletion\": true,\n  \"importProjectMetrics\": true,\n  \"importResourceMetrics\": true,\n  \"numImportProjectMetrics\": 123,\n  \"numImportResourceMetrics\": 123,\n  \"enableSEM\": true,\n  \"accuracySEM\": 123,\n  \"latencySEM\": 123,\n  \"optimizationObjectives\": [\n    {\n      \"objective\": \"<string>\",\n      \"label\": \"<string>\",\n      \"weight\": 123\n    }\n  ],\n  \"rawObjectives\": \"<string>\",\n  \"earlyStopping\": true,\n  \"earlyStoppingWindowSize\": 123,\n  \"earlyStoppingImprovementBar\": 123,\n  \"MOMF\": true,\n  \"verboseLogging\": true,\n  \"disableConstraints\": true,\n  \"disableDeduplicate\": true,\n  \"maxTotalTrainingTime\": 123,\n  \"tunerChildJobMemoryMiB\": 32768,\n  \"tunerSpaceOptions\": {},\n  \"space\": [\n    {\n      \"inputBlocks\": [\n        {}\n      ],\n      \"dspBlocks\": [\n        {}\n      ],\n      \"learnBlocks\": [\n        [\n          {}\n        ]\n      ],\n      \"parameters\": {}\n    }\n  ]\n}"

response = http.request(request)
puts response.read_body

{
  "success": true,
  "error": "<string>"
}

POST

api

{projectId}

optimize

config

Update config

curl --request POST \
  --url https://studio.edgeimpulse.com/v1/api/{projectId}/optimize/config \
  --header 'Content-Type: application/json' \
  --header 'x-api-key: <api-key>' \
  --data '
{
  "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": {}
    }
  ]
}
'

import requests

url = "https://studio.edgeimpulse.com/v1/api/{projectId}/optimize/config"

payload = {
    "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": {}
        }
    ]
}
headers = {
    "x-api-key": "<api-key>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {'x-api-key': '<api-key>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    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: {}}]
  })
};

fetch('https://studio.edgeimpulse.com/v1/api/{projectId}/optimize/config', 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/config",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    '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' => [
                                
                ]
        ]
    ]
  ]),
  CURLOPT_HTTPHEADER => [
    "Content-Type: application/json",
    "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"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://studio.edgeimpulse.com/v1/api/{projectId}/optimize/config"

	payload := strings.NewReader("{\n  \"targetLatency\": 0,\n  \"targetDevice\": {\n    \"name\": \"cortex-m4f-80mhz\",\n    \"ram\": 1024,\n    \"rom\": 1024\n  },\n  \"name\": \"<string>\",\n  \"compiler\": [\n    \"<string>\"\n  ],\n  \"precision\": [\n    \"<string>\"\n  ],\n  \"trainingCycles\": 5,\n  \"tuningMaxTrials\": 2,\n  \"tuningWorkers\": 1,\n  \"initialTrials\": 5,\n  \"optimizationRounds\": 3,\n  \"trialsPerOptimizationRound\": 3,\n  \"minMACCS\": 123,\n  \"maxMACCS\": 123,\n  \"notificationOnCompletion\": true,\n  \"importProjectMetrics\": true,\n  \"importResourceMetrics\": true,\n  \"numImportProjectMetrics\": 123,\n  \"numImportResourceMetrics\": 123,\n  \"enableSEM\": true,\n  \"accuracySEM\": 123,\n  \"latencySEM\": 123,\n  \"optimizationObjectives\": [\n    {\n      \"objective\": \"<string>\",\n      \"label\": \"<string>\",\n      \"weight\": 123\n    }\n  ],\n  \"rawObjectives\": \"<string>\",\n  \"earlyStopping\": true,\n  \"earlyStoppingWindowSize\": 123,\n  \"earlyStoppingImprovementBar\": 123,\n  \"MOMF\": true,\n  \"verboseLogging\": true,\n  \"disableConstraints\": true,\n  \"disableDeduplicate\": true,\n  \"maxTotalTrainingTime\": 123,\n  \"tunerChildJobMemoryMiB\": 32768,\n  \"tunerSpaceOptions\": {},\n  \"space\": [\n    {\n      \"inputBlocks\": [\n        {}\n      ],\n      \"dspBlocks\": [\n        {}\n      ],\n      \"learnBlocks\": [\n        [\n          {}\n        ]\n      ],\n      \"parameters\": {}\n    }\n  ]\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("x-api-key", "<api-key>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://studio.edgeimpulse.com/v1/api/{projectId}/optimize/config")
  .header("x-api-key", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"targetLatency\": 0,\n  \"targetDevice\": {\n    \"name\": \"cortex-m4f-80mhz\",\n    \"ram\": 1024,\n    \"rom\": 1024\n  },\n  \"name\": \"<string>\",\n  \"compiler\": [\n    \"<string>\"\n  ],\n  \"precision\": [\n    \"<string>\"\n  ],\n  \"trainingCycles\": 5,\n  \"tuningMaxTrials\": 2,\n  \"tuningWorkers\": 1,\n  \"initialTrials\": 5,\n  \"optimizationRounds\": 3,\n  \"trialsPerOptimizationRound\": 3,\n  \"minMACCS\": 123,\n  \"maxMACCS\": 123,\n  \"notificationOnCompletion\": true,\n  \"importProjectMetrics\": true,\n  \"importResourceMetrics\": true,\n  \"numImportProjectMetrics\": 123,\n  \"numImportResourceMetrics\": 123,\n  \"enableSEM\": true,\n  \"accuracySEM\": 123,\n  \"latencySEM\": 123,\n  \"optimizationObjectives\": [\n    {\n      \"objective\": \"<string>\",\n      \"label\": \"<string>\",\n      \"weight\": 123\n    }\n  ],\n  \"rawObjectives\": \"<string>\",\n  \"earlyStopping\": true,\n  \"earlyStoppingWindowSize\": 123,\n  \"earlyStoppingImprovementBar\": 123,\n  \"MOMF\": true,\n  \"verboseLogging\": true,\n  \"disableConstraints\": true,\n  \"disableDeduplicate\": true,\n  \"maxTotalTrainingTime\": 123,\n  \"tunerChildJobMemoryMiB\": 32768,\n  \"tunerSpaceOptions\": {},\n  \"space\": [\n    {\n      \"inputBlocks\": [\n        {}\n      ],\n      \"dspBlocks\": [\n        {}\n      ],\n      \"learnBlocks\": [\n        [\n          {}\n        ]\n      ],\n      \"parameters\": {}\n    }\n  ]\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://studio.edgeimpulse.com/v1/api/{projectId}/optimize/config")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["x-api-key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"targetLatency\": 0,\n  \"targetDevice\": {\n    \"name\": \"cortex-m4f-80mhz\",\n    \"ram\": 1024,\n    \"rom\": 1024\n  },\n  \"name\": \"<string>\",\n  \"compiler\": [\n    \"<string>\"\n  ],\n  \"precision\": [\n    \"<string>\"\n  ],\n  \"trainingCycles\": 5,\n  \"tuningMaxTrials\": 2,\n  \"tuningWorkers\": 1,\n  \"initialTrials\": 5,\n  \"optimizationRounds\": 3,\n  \"trialsPerOptimizationRound\": 3,\n  \"minMACCS\": 123,\n  \"maxMACCS\": 123,\n  \"notificationOnCompletion\": true,\n  \"importProjectMetrics\": true,\n  \"importResourceMetrics\": true,\n  \"numImportProjectMetrics\": 123,\n  \"numImportResourceMetrics\": 123,\n  \"enableSEM\": true,\n  \"accuracySEM\": 123,\n  \"latencySEM\": 123,\n  \"optimizationObjectives\": [\n    {\n      \"objective\": \"<string>\",\n      \"label\": \"<string>\",\n      \"weight\": 123\n    }\n  ],\n  \"rawObjectives\": \"<string>\",\n  \"earlyStopping\": true,\n  \"earlyStoppingWindowSize\": 123,\n  \"earlyStoppingImprovementBar\": 123,\n  \"MOMF\": true,\n  \"verboseLogging\": true,\n  \"disableConstraints\": true,\n  \"disableDeduplicate\": true,\n  \"maxTotalTrainingTime\": 123,\n  \"tunerChildJobMemoryMiB\": 32768,\n  \"tunerSpaceOptions\": {},\n  \"space\": [\n    {\n      \"inputBlocks\": [\n        {}\n      ],\n      \"dspBlocks\": [\n        {}\n      ],\n      \"learnBlocks\": [\n        [\n          {}\n        ]\n      ],\n      \"parameters\": {}\n    }\n  ]\n}"

response = http.request(request)
puts response.read_body

{
  "success": true,
  "error": "<string>"
}

Authorizations

x-api-key

string

header

required

Path Parameters

projectId

integer

required

Project ID

Body

application/json

targetLatency

integer

required

Target latency in MS

Example:

0

targetDevice

object

required

Target device

Show child attributes

name

string

compiler

string[]

precision

string[]

trainingCycles

integer

Maximum number of training cycles

Example:

5

tuningMaxTrials

integer

Maximum number of trials

Example:

2

tuningWorkers

integer

Maximum number of parallel workers/jobs

Example:

1

initialTrials

integer

Number of initial trials

Example:

5

optimizationRounds

integer

Number of optimization rounds

Example:

3

trialsPerOptimizationRound

integer

Number of trials per optimization round

Example:

3

minMACCS

number

maxMACCS

number

tuningAlgorithm

enum<string>

Tuning algorithm to use to search hyperparameter space

Available options:

random,

hyperband,

bayesian,

custom

notificationOnCompletion

boolean

importProjectMetrics

boolean

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

importResourceMetrics

boolean

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

numImportProjectMetrics

number

Number of project trials to import

numImportResourceMetrics

number

Number of resource usage trials to import

enableSEM

boolean

Enable standard error of the mean (SEM)

accuracySEM

number

Standard error of the trial accuracy mean

latencySEM

number

Standard error of the trial latency mean

optimizationObjectives

object[]

Hyperparameter optimization objectives and corresponding weights

Show child attributes

rawObjectives

string

Hyperparameter optimization objectives + weights in string format

optimizationPrecision

enum<string>

Model variant to optimize for

Available options:

float32,

int8

earlyStopping

boolean

Enable trial level early stopping based on loss metrics during training

earlyStoppingWindowSize

number

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

earlyStoppingImprovementBar

number

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

MOMF

boolean

Enable Multi-fidelity Multi-Objective optimization

verboseLogging

boolean

Enable verbose logging

disableConstraints

boolean

Disable search constraints

disableDeduplicate

boolean

Disable trial deduplication

maxTotalTrainingTime

number

Maximum total training time in seconds

tunerChildJobMemoryMiB

integer

Optional memory override for tuner child jobs (MiB), capped at 65536 MiB.

Required range: 1 <= x <= 65536

tunerSpaceOptions

object

Show child attributes

space

object[]

List of impulses specifying the EON Tuner search space

Show child attributes

searchSpaceTemplate

object

Search space template

Show child attributes

searchSpaceSource

object

Search space source

Show child attributes

Response

200 - application/json

success

boolean

required

Whether the operation succeeded

error

string

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

Get config

Get all available learn blocks

OVERVIEW

STUDIO API ENDPOINTS

Authorizations

Path Parameters

Body

Response