STUDIO API ENDPOINTS
- GETList all tuner runs
- GETGet config
- POSTUpdate config
- GETGet all available learn blocks
- GETGet window settings
- POSTCreate trial
- POSTComplete EON tuner run
- GETSearch space
- GETRetrieves the EON tuner state
- DELDelete EON tuner state
- GETRetrieves DSP block parameters
- GETRetrieves available transfer learning models
- GETGet impulse blocks
- GETGet trial logs
- GETEnd EON tuner trial
- GETRetrieves EON tuner state for a run.
- POSTUpdate EON tuner state
- GET
curl --request GET \
--url https://studio.edgeimpulse.com/v1/api/{projectId}/optimize/transfer-learning-models \
--header 'x-api-key: <api-key>'{
"success": true,
"models": {
"image": [
{
"name": "<string>",
"shortName": "<string>",
"description": "<string>",
"hasNeurons": true,
"hasDropout": true,
"type": "dense",
"learnBlockType": "anomaly",
"author": "<string>",
"blockType": "official",
"abbreviatedName": "<string>",
"defaultNeurons": 123,
"defaultDropout": 123,
"defaultLearningRate": 123,
"defaultTrainingCycles": 123,
"hasImageAugmentation": true,
"organizationModelId": 123,
"implementationVersion": 123,
"repositoryUrl": "<string>",
"customParameters": [
{
"name": "Scale axes",
"defaultValue": "<string>",
"type": "text",
"param": "scale-axes",
"readonly": true,
"shouldShow": true,
"required": true,
"showClickToSet": true,
"value": "<string>",
"help": "Divide axes by this number",
"selectOptions": [
{
"value": "<string>",
"selected": true,
"optionLabel": "<string>",
"priority": 123,
"romEstimate": 123,
"needsOps": [
"<string>"
],
"needsFeatures": [
"<string>"
]
}
],
"showIf": {
"parameter": "<string>",
"operator": "eq",
"value": "<string>"
},
"invalidText": "<string>",
"section": "advanced",
"multiline": true,
"hint": "<string>",
"placeholder": "<string>",
"valid": [
{}
],
"items": {},
"properties": {}
}
],
"displayCategory": "classical",
"blockNoLongerAvailable": {
"reasonMarkdown": "<string>",
"reasonHtml": "<string>"
}
}
],
"objectDetection": [
{
"name": "<string>",
"shortName": "<string>",
"description": "<string>",
"hasNeurons": true,
"hasDropout": true,
"type": "dense",
"learnBlockType": "anomaly",
"author": "<string>",
"blockType": "official",
"abbreviatedName": "<string>",
"defaultNeurons": 123,
"defaultDropout": 123,
"defaultLearningRate": 123,
"defaultTrainingCycles": 123,
"hasImageAugmentation": true,
"organizationModelId": 123,
"implementationVersion": 123,
"repositoryUrl": "<string>",
"customParameters": [
{
"name": "Scale axes",
"defaultValue": "<string>",
"type": "text",
"param": "scale-axes",
"readonly": true,
"shouldShow": true,
"required": true,
"showClickToSet": true,
"value": "<string>",
"help": "Divide axes by this number",
"selectOptions": [
{
"value": "<string>",
"selected": true,
"optionLabel": "<string>",
"priority": 123,
"romEstimate": 123,
"needsOps": [
"<string>"
],
"needsFeatures": [
"<string>"
]
}
],
"showIf": {
"parameter": "<string>",
"operator": "eq",
"value": "<string>"
},
"invalidText": "<string>",
"section": "advanced",
"multiline": true,
"hint": "<string>",
"placeholder": "<string>",
"valid": [
{}
],
"items": {},
"properties": {}
}
],
"displayCategory": "classical",
"blockNoLongerAvailable": {
"reasonMarkdown": "<string>",
"reasonHtml": "<string>"
}
}
],
"kws": [
{
"name": "<string>",
"shortName": "<string>",
"description": "<string>",
"hasNeurons": true,
"hasDropout": true,
"type": "dense",
"learnBlockType": "anomaly",
"author": "<string>",
"blockType": "official",
"abbreviatedName": "<string>",
"defaultNeurons": 123,
"defaultDropout": 123,
"defaultLearningRate": 123,
"defaultTrainingCycles": 123,
"hasImageAugmentation": true,
"organizationModelId": 123,
"implementationVersion": 123,
"repositoryUrl": "<string>",
"customParameters": [
{
"name": "Scale axes",
"defaultValue": "<string>",
"type": "text",
"param": "scale-axes",
"readonly": true,
"shouldShow": true,
"required": true,
"showClickToSet": true,
"value": "<string>",
"help": "Divide axes by this number",
"selectOptions": [
{
"value": "<string>",
"selected": true,
"optionLabel": "<string>",
"priority": 123,
"romEstimate": 123,
"needsOps": [
"<string>"
],
"needsFeatures": [
"<string>"
]
}
],
"showIf": {
"parameter": "<string>",
"operator": "eq",
"value": "<string>"
},
"invalidText": "<string>",
"section": "advanced",
"multiline": true,
"hint": "<string>",
"placeholder": "<string>",
"valid": [
{}
],
"items": {},
"properties": {}
}
],
"displayCategory": "classical",
"blockNoLongerAvailable": {
"reasonMarkdown": "<string>",
"reasonHtml": "<string>"
}
}
],
"regression": [
{
"name": "<string>",
"shortName": "<string>",
"description": "<string>",
"hasNeurons": true,
"hasDropout": true,
"type": "dense",
"learnBlockType": "anomaly",
"author": "<string>",
"blockType": "official",
"abbreviatedName": "<string>",
"defaultNeurons": 123,
"defaultDropout": 123,
"defaultLearningRate": 123,
"defaultTrainingCycles": 123,
"hasImageAugmentation": true,
"organizationModelId": 123,
"implementationVersion": 123,
"repositoryUrl": "<string>",
"customParameters": [
{
"name": "Scale axes",
"defaultValue": "<string>",
"type": "text",
"param": "scale-axes",
"readonly": true,
"shouldShow": true,
"required": true,
"showClickToSet": true,
"value": "<string>",
"help": "Divide axes by this number",
"selectOptions": [
{
"value": "<string>",
"selected": true,
"optionLabel": "<string>",
"priority": 123,
"romEstimate": 123,
"needsOps": [
"<string>"
],
"needsFeatures": [
"<string>"
]
}
],
"showIf": {
"parameter": "<string>",
"operator": "eq",
"value": "<string>"
},
"invalidText": "<string>",
"section": "advanced",
"multiline": true,
"hint": "<string>",
"placeholder": "<string>",
"valid": [
{}
],
"items": {},
"properties": {}
}
],
"displayCategory": "classical",
"blockNoLongerAvailable": {
"reasonMarkdown": "<string>",
"reasonHtml": "<string>"
}
}
],
"classification": [
{
"name": "<string>",
"shortName": "<string>",
"description": "<string>",
"hasNeurons": true,
"hasDropout": true,
"type": "dense",
"learnBlockType": "anomaly",
"author": "<string>",
"blockType": "official",
"abbreviatedName": "<string>",
"defaultNeurons": 123,
"defaultDropout": 123,
"defaultLearningRate": 123,
"defaultTrainingCycles": 123,
"hasImageAugmentation": true,
"organizationModelId": 123,
"implementationVersion": 123,
"repositoryUrl": "<string>",
"customParameters": [
{
"name": "Scale axes",
"defaultValue": "<string>",
"type": "text",
"param": "scale-axes",
"readonly": true,
"shouldShow": true,
"required": true,
"showClickToSet": true,
"value": "<string>",
"help": "Divide axes by this number",
"selectOptions": [
{
"value": "<string>",
"selected": true,
"optionLabel": "<string>",
"priority": 123,
"romEstimate": 123,
"needsOps": [
"<string>"
],
"needsFeatures": [
"<string>"
]
}
],
"showIf": {
"parameter": "<string>",
"operator": "eq",
"value": "<string>"
},
"invalidText": "<string>",
"section": "advanced",
"multiline": true,
"hint": "<string>",
"placeholder": "<string>",
"valid": [
{}
],
"items": {},
"properties": {}
}
],
"displayCategory": "classical",
"blockNoLongerAvailable": {
"reasonMarkdown": "<string>",
"reasonHtml": "<string>"
}
}
]
},
"error": "<string>"
}Retrieves available transfer learning models
Retrieves available transfer learning models
curl --request GET \
--url https://studio.edgeimpulse.com/v1/api/{projectId}/optimize/transfer-learning-models \
--header 'x-api-key: <api-key>'{
"success": true,
"models": {
"image": [
{
"name": "<string>",
"shortName": "<string>",
"description": "<string>",
"hasNeurons": true,
"hasDropout": true,
"type": "dense",
"learnBlockType": "anomaly",
"author": "<string>",
"blockType": "official",
"abbreviatedName": "<string>",
"defaultNeurons": 123,
"defaultDropout": 123,
"defaultLearningRate": 123,
"defaultTrainingCycles": 123,
"hasImageAugmentation": true,
"organizationModelId": 123,
"implementationVersion": 123,
"repositoryUrl": "<string>",
"customParameters": [
{
"name": "Scale axes",
"defaultValue": "<string>",
"type": "text",
"param": "scale-axes",
"readonly": true,
"shouldShow": true,
"required": true,
"showClickToSet": true,
"value": "<string>",
"help": "Divide axes by this number",
"selectOptions": [
{
"value": "<string>",
"selected": true,
"optionLabel": "<string>",
"priority": 123,
"romEstimate": 123,
"needsOps": [
"<string>"
],
"needsFeatures": [
"<string>"
]
}
],
"showIf": {
"parameter": "<string>",
"operator": "eq",
"value": "<string>"
},
"invalidText": "<string>",
"section": "advanced",
"multiline": true,
"hint": "<string>",
"placeholder": "<string>",
"valid": [
{}
],
"items": {},
"properties": {}
}
],
"displayCategory": "classical",
"blockNoLongerAvailable": {
"reasonMarkdown": "<string>",
"reasonHtml": "<string>"
}
}
],
"objectDetection": [
{
"name": "<string>",
"shortName": "<string>",
"description": "<string>",
"hasNeurons": true,
"hasDropout": true,
"type": "dense",
"learnBlockType": "anomaly",
"author": "<string>",
"blockType": "official",
"abbreviatedName": "<string>",
"defaultNeurons": 123,
"defaultDropout": 123,
"defaultLearningRate": 123,
"defaultTrainingCycles": 123,
"hasImageAugmentation": true,
"organizationModelId": 123,
"implementationVersion": 123,
"repositoryUrl": "<string>",
"customParameters": [
{
"name": "Scale axes",
"defaultValue": "<string>",
"type": "text",
"param": "scale-axes",
"readonly": true,
"shouldShow": true,
"required": true,
"showClickToSet": true,
"value": "<string>",
"help": "Divide axes by this number",
"selectOptions": [
{
"value": "<string>",
"selected": true,
"optionLabel": "<string>",
"priority": 123,
"romEstimate": 123,
"needsOps": [
"<string>"
],
"needsFeatures": [
"<string>"
]
}
],
"showIf": {
"parameter": "<string>",
"operator": "eq",
"value": "<string>"
},
"invalidText": "<string>",
"section": "advanced",
"multiline": true,
"hint": "<string>",
"placeholder": "<string>",
"valid": [
{}
],
"items": {},
"properties": {}
}
],
"displayCategory": "classical",
"blockNoLongerAvailable": {
"reasonMarkdown": "<string>",
"reasonHtml": "<string>"
}
}
],
"kws": [
{
"name": "<string>",
"shortName": "<string>",
"description": "<string>",
"hasNeurons": true,
"hasDropout": true,
"type": "dense",
"learnBlockType": "anomaly",
"author": "<string>",
"blockType": "official",
"abbreviatedName": "<string>",
"defaultNeurons": 123,
"defaultDropout": 123,
"defaultLearningRate": 123,
"defaultTrainingCycles": 123,
"hasImageAugmentation": true,
"organizationModelId": 123,
"implementationVersion": 123,
"repositoryUrl": "<string>",
"customParameters": [
{
"name": "Scale axes",
"defaultValue": "<string>",
"type": "text",
"param": "scale-axes",
"readonly": true,
"shouldShow": true,
"required": true,
"showClickToSet": true,
"value": "<string>",
"help": "Divide axes by this number",
"selectOptions": [
{
"value": "<string>",
"selected": true,
"optionLabel": "<string>",
"priority": 123,
"romEstimate": 123,
"needsOps": [
"<string>"
],
"needsFeatures": [
"<string>"
]
}
],
"showIf": {
"parameter": "<string>",
"operator": "eq",
"value": "<string>"
},
"invalidText": "<string>",
"section": "advanced",
"multiline": true,
"hint": "<string>",
"placeholder": "<string>",
"valid": [
{}
],
"items": {},
"properties": {}
}
],
"displayCategory": "classical",
"blockNoLongerAvailable": {
"reasonMarkdown": "<string>",
"reasonHtml": "<string>"
}
}
],
"regression": [
{
"name": "<string>",
"shortName": "<string>",
"description": "<string>",
"hasNeurons": true,
"hasDropout": true,
"type": "dense",
"learnBlockType": "anomaly",
"author": "<string>",
"blockType": "official",
"abbreviatedName": "<string>",
"defaultNeurons": 123,
"defaultDropout": 123,
"defaultLearningRate": 123,
"defaultTrainingCycles": 123,
"hasImageAugmentation": true,
"organizationModelId": 123,
"implementationVersion": 123,
"repositoryUrl": "<string>",
"customParameters": [
{
"name": "Scale axes",
"defaultValue": "<string>",
"type": "text",
"param": "scale-axes",
"readonly": true,
"shouldShow": true,
"required": true,
"showClickToSet": true,
"value": "<string>",
"help": "Divide axes by this number",
"selectOptions": [
{
"value": "<string>",
"selected": true,
"optionLabel": "<string>",
"priority": 123,
"romEstimate": 123,
"needsOps": [
"<string>"
],
"needsFeatures": [
"<string>"
]
}
],
"showIf": {
"parameter": "<string>",
"operator": "eq",
"value": "<string>"
},
"invalidText": "<string>",
"section": "advanced",
"multiline": true,
"hint": "<string>",
"placeholder": "<string>",
"valid": [
{}
],
"items": {},
"properties": {}
}
],
"displayCategory": "classical",
"blockNoLongerAvailable": {
"reasonMarkdown": "<string>",
"reasonHtml": "<string>"
}
}
],
"classification": [
{
"name": "<string>",
"shortName": "<string>",
"description": "<string>",
"hasNeurons": true,
"hasDropout": true,
"type": "dense",
"learnBlockType": "anomaly",
"author": "<string>",
"blockType": "official",
"abbreviatedName": "<string>",
"defaultNeurons": 123,
"defaultDropout": 123,
"defaultLearningRate": 123,
"defaultTrainingCycles": 123,
"hasImageAugmentation": true,
"organizationModelId": 123,
"implementationVersion": 123,
"repositoryUrl": "<string>",
"customParameters": [
{
"name": "Scale axes",
"defaultValue": "<string>",
"type": "text",
"param": "scale-axes",
"readonly": true,
"shouldShow": true,
"required": true,
"showClickToSet": true,
"value": "<string>",
"help": "Divide axes by this number",
"selectOptions": [
{
"value": "<string>",
"selected": true,
"optionLabel": "<string>",
"priority": 123,
"romEstimate": 123,
"needsOps": [
"<string>"
],
"needsFeatures": [
"<string>"
]
}
],
"showIf": {
"parameter": "<string>",
"operator": "eq",
"value": "<string>"
},
"invalidText": "<string>",
"section": "advanced",
"multiline": true,
"hint": "<string>",
"placeholder": "<string>",
"valid": [
{}
],
"items": {},
"properties": {}
}
],
"displayCategory": "classical",
"blockNoLongerAvailable": {
"reasonMarkdown": "<string>",
"reasonHtml": "<string>"
}
}
]
},
"error": "<string>"
}Authorizations
Path Parameters
Project ID
Response
OK
Whether the operation succeeded
Show child attributes
Show child attributes
Show child attributes
Show child attributes
dense, conv1d, conv2d, reshape, flatten, dropout, batchNormalization, transfer_mobilenetv2_a35, transfer_mobilenetv2_a1, transfer_mobilenetv2_a05, transfer_mobilenetv2_160_a1, transfer_mobilenetv2_160_a75, transfer_mobilenetv2_160_a5, transfer_mobilenetv2_160_a35, transfer_mobilenetv1_a25_d100, transfer_mobilenetv1_a2_d100, transfer_mobilenetv1_a1_d100, transfer_kws_mobilenetv1_a1_d100, transfer_kws_mobilenetv2_a35_d100, transfer_kws_syntiant_ndp10x, transfer_kws_conv2d_tiny, object_ssd_mobilenet_v2_fpnlite_320x320, fomo_mobilenet_v2_a01, fomo_mobilenet_v2_a35, transfer_organization, transfer_akidanet_imagenet_160_a100, transfer_akidanet_imagenet_160_a50, transfer_akidanet_imagenet_160_a25, transfer_akidanet_imagenet_224_a100, transfer_akidanet_imagenet_224_a50, transfer_akidanet_imagenet_224_a25, fomo_akidanet_a50, fomo_ad_gmm, fomo_ad_patchcore The type of learning block (anomaly, keras, keras-transfer-image, keras-transfer-kws, keras-object-detection, keras-regression). Each behaves differently.
anomaly, anomaly-gmm, keras, keras-transfer-image, keras-transfer-kws, keras-object-detection, keras-regression, keras-akida, keras-akida-transfer-image, keras-akida-object-detection, keras-visual-anomaly official, personal, enterprise, pro-or-enterprise, community URL to the source code of this custom learn block.
Show child attributes
Show child attributes
"Scale axes"
"text"
"scale-axes"
If enabled, render a disabled input element with 'Click to set'
"Divide axes by this number"
Show child attributes
Show child attributes
What is the string that will be set if this option is selected?
What is the label that will be shown to the user for this option?
The following options are optional. See Learn Block Auto Config in Notion. Higher priority will get chosen based on limits below.
Estimated ROM footprint for this choice. Will be tested against ROM budget in Studio.
ML operator needed by this choice.
Feature needed by this choice. (non op related)
Interface section to render parameter in.
advanced, augmentation, modelProfiling Only valid for type "string". Will render a multiline text area.
If set, shows a hint below the input.
Sets the placeholder text on the input element (for types "string", "int", "float" and "secret")
Valid values for parameter.
Recursive definition for items of a parameter with type 'array'.
Recursive definition for a parameter with type 'object'.
Category to display this block in the UI.
classical, tao, developer-preview If this object is set, then you can no longer train this block. The reason (or a migration path) is in the reasonMarkdown and reasonHtml properties.
Show child attributes
Show child attributes
dense, conv1d, conv2d, reshape, flatten, dropout, batchNormalization, transfer_mobilenetv2_a35, transfer_mobilenetv2_a1, transfer_mobilenetv2_a05, transfer_mobilenetv2_160_a1, transfer_mobilenetv2_160_a75, transfer_mobilenetv2_160_a5, transfer_mobilenetv2_160_a35, transfer_mobilenetv1_a25_d100, transfer_mobilenetv1_a2_d100, transfer_mobilenetv1_a1_d100, transfer_kws_mobilenetv1_a1_d100, transfer_kws_mobilenetv2_a35_d100, transfer_kws_syntiant_ndp10x, transfer_kws_conv2d_tiny, object_ssd_mobilenet_v2_fpnlite_320x320, fomo_mobilenet_v2_a01, fomo_mobilenet_v2_a35, transfer_organization, transfer_akidanet_imagenet_160_a100, transfer_akidanet_imagenet_160_a50, transfer_akidanet_imagenet_160_a25, transfer_akidanet_imagenet_224_a100, transfer_akidanet_imagenet_224_a50, transfer_akidanet_imagenet_224_a25, fomo_akidanet_a50, fomo_ad_gmm, fomo_ad_patchcore The type of learning block (anomaly, keras, keras-transfer-image, keras-transfer-kws, keras-object-detection, keras-regression). Each behaves differently.
anomaly, anomaly-gmm, keras, keras-transfer-image, keras-transfer-kws, keras-object-detection, keras-regression, keras-akida, keras-akida-transfer-image, keras-akida-object-detection, keras-visual-anomaly official, personal, enterprise, pro-or-enterprise, community URL to the source code of this custom learn block.
Show child attributes
Show child attributes
"Scale axes"
"text"
"scale-axes"
If enabled, render a disabled input element with 'Click to set'
"Divide axes by this number"
Show child attributes
Show child attributes
What is the string that will be set if this option is selected?
What is the label that will be shown to the user for this option?
The following options are optional. See Learn Block Auto Config in Notion. Higher priority will get chosen based on limits below.
Estimated ROM footprint for this choice. Will be tested against ROM budget in Studio.
ML operator needed by this choice.
Feature needed by this choice. (non op related)
Interface section to render parameter in.
advanced, augmentation, modelProfiling Only valid for type "string". Will render a multiline text area.
If set, shows a hint below the input.
Sets the placeholder text on the input element (for types "string", "int", "float" and "secret")
Valid values for parameter.
Recursive definition for items of a parameter with type 'array'.
Recursive definition for a parameter with type 'object'.
Category to display this block in the UI.
classical, tao, developer-preview If this object is set, then you can no longer train this block. The reason (or a migration path) is in the reasonMarkdown and reasonHtml properties.
Show child attributes
Show child attributes
Show child attributes
Show child attributes
dense, conv1d, conv2d, reshape, flatten, dropout, batchNormalization, transfer_mobilenetv2_a35, transfer_mobilenetv2_a1, transfer_mobilenetv2_a05, transfer_mobilenetv2_160_a1, transfer_mobilenetv2_160_a75, transfer_mobilenetv2_160_a5, transfer_mobilenetv2_160_a35, transfer_mobilenetv1_a25_d100, transfer_mobilenetv1_a2_d100, transfer_mobilenetv1_a1_d100, transfer_kws_mobilenetv1_a1_d100, transfer_kws_mobilenetv2_a35_d100, transfer_kws_syntiant_ndp10x, transfer_kws_conv2d_tiny, object_ssd_mobilenet_v2_fpnlite_320x320, fomo_mobilenet_v2_a01, fomo_mobilenet_v2_a35, transfer_organization, transfer_akidanet_imagenet_160_a100, transfer_akidanet_imagenet_160_a50, transfer_akidanet_imagenet_160_a25, transfer_akidanet_imagenet_224_a100, transfer_akidanet_imagenet_224_a50, transfer_akidanet_imagenet_224_a25, fomo_akidanet_a50, fomo_ad_gmm, fomo_ad_patchcore The type of learning block (anomaly, keras, keras-transfer-image, keras-transfer-kws, keras-object-detection, keras-regression). Each behaves differently.
anomaly, anomaly-gmm, keras, keras-transfer-image, keras-transfer-kws, keras-object-detection, keras-regression, keras-akida, keras-akida-transfer-image, keras-akida-object-detection, keras-visual-anomaly official, personal, enterprise, pro-or-enterprise, community URL to the source code of this custom learn block.
Show child attributes
Show child attributes
"Scale axes"
"text"
"scale-axes"
If enabled, render a disabled input element with 'Click to set'
"Divide axes by this number"
Show child attributes
Show child attributes
What is the string that will be set if this option is selected?
What is the label that will be shown to the user for this option?
The following options are optional. See Learn Block Auto Config in Notion. Higher priority will get chosen based on limits below.
Estimated ROM footprint for this choice. Will be tested against ROM budget in Studio.
ML operator needed by this choice.
Feature needed by this choice. (non op related)
Interface section to render parameter in.
advanced, augmentation, modelProfiling Only valid for type "string". Will render a multiline text area.
If set, shows a hint below the input.
Sets the placeholder text on the input element (for types "string", "int", "float" and "secret")
Valid values for parameter.
Recursive definition for items of a parameter with type 'array'.
Recursive definition for a parameter with type 'object'.
Category to display this block in the UI.
classical, tao, developer-preview If this object is set, then you can no longer train this block. The reason (or a migration path) is in the reasonMarkdown and reasonHtml properties.
Show child attributes
Show child attributes
dense, conv1d, conv2d, reshape, flatten, dropout, batchNormalization, transfer_mobilenetv2_a35, transfer_mobilenetv2_a1, transfer_mobilenetv2_a05, transfer_mobilenetv2_160_a1, transfer_mobilenetv2_160_a75, transfer_mobilenetv2_160_a5, transfer_mobilenetv2_160_a35, transfer_mobilenetv1_a25_d100, transfer_mobilenetv1_a2_d100, transfer_mobilenetv1_a1_d100, transfer_kws_mobilenetv1_a1_d100, transfer_kws_mobilenetv2_a35_d100, transfer_kws_syntiant_ndp10x, transfer_kws_conv2d_tiny, object_ssd_mobilenet_v2_fpnlite_320x320, fomo_mobilenet_v2_a01, fomo_mobilenet_v2_a35, transfer_organization, transfer_akidanet_imagenet_160_a100, transfer_akidanet_imagenet_160_a50, transfer_akidanet_imagenet_160_a25, transfer_akidanet_imagenet_224_a100, transfer_akidanet_imagenet_224_a50, transfer_akidanet_imagenet_224_a25, fomo_akidanet_a50, fomo_ad_gmm, fomo_ad_patchcore The type of learning block (anomaly, keras, keras-transfer-image, keras-transfer-kws, keras-object-detection, keras-regression). Each behaves differently.
anomaly, anomaly-gmm, keras, keras-transfer-image, keras-transfer-kws, keras-object-detection, keras-regression, keras-akida, keras-akida-transfer-image, keras-akida-object-detection, keras-visual-anomaly official, personal, enterprise, pro-or-enterprise, community URL to the source code of this custom learn block.
Show child attributes
Show child attributes
"Scale axes"
"text"
"scale-axes"
If enabled, render a disabled input element with 'Click to set'
"Divide axes by this number"
Show child attributes
Show child attributes
What is the string that will be set if this option is selected?
What is the label that will be shown to the user for this option?
The following options are optional. See Learn Block Auto Config in Notion. Higher priority will get chosen based on limits below.
Estimated ROM footprint for this choice. Will be tested against ROM budget in Studio.
ML operator needed by this choice.
Feature needed by this choice. (non op related)
Interface section to render parameter in.
advanced, augmentation, modelProfiling Only valid for type "string". Will render a multiline text area.
If set, shows a hint below the input.
Sets the placeholder text on the input element (for types "string", "int", "float" and "secret")
Valid values for parameter.
Recursive definition for items of a parameter with type 'array'.
Recursive definition for a parameter with type 'object'.
Category to display this block in the UI.
classical, tao, developer-preview If this object is set, then you can no longer train this block. The reason (or a migration path) is in the reasonMarkdown and reasonHtml properties.
Show child attributes
Show child attributes
Show child attributes
Show child attributes
dense, conv1d, conv2d, reshape, flatten, dropout, batchNormalization, transfer_mobilenetv2_a35, transfer_mobilenetv2_a1, transfer_mobilenetv2_a05, transfer_mobilenetv2_160_a1, transfer_mobilenetv2_160_a75, transfer_mobilenetv2_160_a5, transfer_mobilenetv2_160_a35, transfer_mobilenetv1_a25_d100, transfer_mobilenetv1_a2_d100, transfer_mobilenetv1_a1_d100, transfer_kws_mobilenetv1_a1_d100, transfer_kws_mobilenetv2_a35_d100, transfer_kws_syntiant_ndp10x, transfer_kws_conv2d_tiny, object_ssd_mobilenet_v2_fpnlite_320x320, fomo_mobilenet_v2_a01, fomo_mobilenet_v2_a35, transfer_organization, transfer_akidanet_imagenet_160_a100, transfer_akidanet_imagenet_160_a50, transfer_akidanet_imagenet_160_a25, transfer_akidanet_imagenet_224_a100, transfer_akidanet_imagenet_224_a50, transfer_akidanet_imagenet_224_a25, fomo_akidanet_a50, fomo_ad_gmm, fomo_ad_patchcore The type of learning block (anomaly, keras, keras-transfer-image, keras-transfer-kws, keras-object-detection, keras-regression). Each behaves differently.
anomaly, anomaly-gmm, keras, keras-transfer-image, keras-transfer-kws, keras-object-detection, keras-regression, keras-akida, keras-akida-transfer-image, keras-akida-object-detection, keras-visual-anomaly official, personal, enterprise, pro-or-enterprise, community URL to the source code of this custom learn block.
Show child attributes
Show child attributes
"Scale axes"
"text"
"scale-axes"
If enabled, render a disabled input element with 'Click to set'
"Divide axes by this number"
Show child attributes
Show child attributes
What is the string that will be set if this option is selected?
What is the label that will be shown to the user for this option?
The following options are optional. See Learn Block Auto Config in Notion. Higher priority will get chosen based on limits below.
Estimated ROM footprint for this choice. Will be tested against ROM budget in Studio.
ML operator needed by this choice.
Feature needed by this choice. (non op related)
Interface section to render parameter in.
advanced, augmentation, modelProfiling Only valid for type "string". Will render a multiline text area.
If set, shows a hint below the input.
Sets the placeholder text on the input element (for types "string", "int", "float" and "secret")
Valid values for parameter.
Recursive definition for items of a parameter with type 'array'.
Recursive definition for a parameter with type 'object'.
Category to display this block in the UI.
classical, tao, developer-preview If this object is set, then you can no longer train this block. The reason (or a migration path) is in the reasonMarkdown and reasonHtml properties.
Show child attributes
Show child attributes
Optional error description (set if 'success' was false)
Was this page helpful?