Release v1.25.0

Author: edge-impulse-firmware-uploader[bot]

sdk/studio/sdk/api/rawDataApi.ts

@@ -8346,7 +8346,7 @@ export class RawDataApi {
     }
 
     /**
-     * Performs a deterministic, in-place stratified split of the project\'s dataset into \"training\" and \"testing\" sets, based on the chosen stratification options. Stratification can use the label, one or more metadata keys, or both as a composite group. This is a deterministic process based on the hash of the name of the data. Returns immediately on small datasets, or starts a job on larger datasets. For example:     { \"stratifyByLabel\": true, \"metadataKeys\": [\"site\", \"scanner\"], \"excludeDisabledSamples\": false, \"splitRatio\": 0.8 }     With these options, samples are grouped by the combination of label, site, and scanner. Within each group, 80% are set to \"training\" and the rest to \"testing\". 
+     * Performs a deterministic, in-place stratified split of the project\'s dataset into \"training\", \"testing\", and optional \"validation\" sets, based on the chosen stratification options. Stratification can use the label, one or more metadata keys, or both as a composite group. This is a deterministic process based on the hash of the name of the data. Returns immediately on small datasets, or starts a job on larger datasets. For example:     { \"stratifyByLabel\": true, \"metadataKeys\": [\"site\", \"scanner\"], \"excludeDisabledSamples\": false, \"trainingSplitRatio\": 0.8, \"testingSplitRatio\": 0.1, \"validationSplitRatio\": 0.1 }     With these options, samples are grouped by the combination of label, site, and scanner. Within each group, 80% are set to \"training\", 10% to \"testing\", and 10% to \"validation\". 
      * @summary Stratify dataset
      * @param projectId Project ID
      * @param datasetStratificationOptions 

sdk/studio/sdk/model/datasetRatioDataRatio.ts

@@ -13,11 +13,15 @@
 
 export class DatasetRatioDataRatio {
     /**
-    * number of training samples after rebalance
+    * Number of training samples after rebalance
     */
     'training'?: number;
     /**
-    * number of testing samples after rebalance. This ignores test data with a label that\'s not in the training dataset.
+    * Number of validation samples after rebalance. This is experimental and may change in the future.
+    */
+    'validation'?: number;
+    /**
+    * Number of testing samples after rebalance. This ignores test data with a label that\'s not in the training dataset.
     */
     'testing'?: number;
 
@@ -29,6 +33,11 @@ export class DatasetRatioDataRatio {
             "baseName": "training",
             "type": "number"
         },
+        {
+            "name": "validation",
+            "baseName": "validation",
+            "type": "number"
+        },
         {
             "name": "testing",
             "baseName": "testing",

sdk/studio/sdk/model/datasetStratificationOptions.ts

@@ -13,9 +13,17 @@
 
 export class DatasetStratificationOptions {
     /**
-    * Proportion of the dataset to use for training. The remainder will be used for testing. For example, a value of 0.8 means 80% training, 20% testing. 
+    * Proportion of the dataset to use for training.
     */
-    'splitRatio': number;
+    'trainingSplitRatio': number;
+    /**
+    * Proportion of the dataset to use for testing.
+    */
+    'testingSplitRatio': number;
+    /**
+    * Proportion of the dataset to use for validation. This is experimental and may change in the future.
+    */
+    'validationSplitRatio'?: number;
     /**
     * Whether to stratify by label. If true, the label column will be used for stratification combined with metadataKeys. If false, only metadataKeys will be used. 
     */
@@ -33,8 +41,18 @@ export class DatasetStratificationOptions {
 
     static attributeTypeMap: Array<{name: string, baseName: string, type: string}> = [
         {
-            "name": "splitRatio",
-            "baseName": "splitRatio",
+            "name": "trainingSplitRatio",
+            "baseName": "trainingSplitRatio",
+            "type": "number"
+        },
+        {
+            "name": "testingSplitRatio",
+            "baseName": "testingSplitRatio",
+            "type": "number"
+        },
+        {
+            "name": "validationSplitRatio",
+            "baseName": "validationSplitRatio",
             "type": "number"
         },
         {

sdk/studio/sdk/model/getDataExplorerFeaturesResponseAllOfSample.ts

@@ -53,5 +53,5 @@ export class GetDataExplorerFeaturesResponseAllOfSample {
 }
 
 
-export type GetDataExplorerFeaturesResponseAllOfSampleCategoryEnum = 'training' | 'testing';
-export const GetDataExplorerFeaturesResponseAllOfSampleCategoryEnumValues: string[] = ['training', 'testing'];
+export type GetDataExplorerFeaturesResponseAllOfSampleCategoryEnum = 'training' | 'testing' | 'validation';
+export const GetDataExplorerFeaturesResponseAllOfSampleCategoryEnumValues: string[] = ['training', 'testing', 'validation'];

sdk/studio/sdk/model/projectInfoResponseAllOfDataSummaryPerCategory.ts

@@ -15,6 +15,7 @@ import { ProjectDataSummary } from './projectDataSummary';
 export class ProjectInfoResponseAllOfDataSummaryPerCategory {
     'training': ProjectDataSummary;
     'testing': ProjectDataSummary;
+    'validation': ProjectDataSummary;
     'postProcessing': ProjectDataSummary;
 
     static discriminator: string | undefined = undefined;
@@ -30,6 +31,11 @@ export class ProjectInfoResponseAllOfDataSummaryPerCategory {
             "baseName": "testing",
             "type": "ProjectDataSummary"
         },
+        {
+            "name": "validation",
+            "baseName": "validation",
+            "type": "ProjectDataSummary"
+        },
         {
             "name": "postProcessing",
             "baseName": "postProcessing",

sdk/studio/sdk/model/rawDataCategory.ts

@@ -12,5 +12,5 @@
 
 
 
-export type RawDataCategory = 'training' | 'testing' | 'post-processing';
-export const RawDataCategoryValues: string[] = ['training', 'testing', 'post-processing'];
+export type RawDataCategory = 'training' | 'testing' | 'validation' | 'post-processing';
+export const RawDataCategoryValues: string[] = ['training', 'testing', 'validation', 'post-processing'];

sdk/studio/sdk/model/rawDataFilterCategory.ts

@@ -12,5 +12,5 @@
 
 
 
-export type RawDataFilterCategory = 'training' | 'testing' | 'post-processing' | 'all';
-export const RawDataFilterCategoryValues: string[] = ['training', 'testing', 'post-processing', 'all'];
+export type RawDataFilterCategory = 'training' | 'testing' | 'validation' | 'post-processing' | 'all';
+export const RawDataFilterCategoryValues: string[] = ['training', 'testing', 'validation', 'post-processing', 'all'];

shared/bounding-box-file-types.ts

@@ -378,7 +378,7 @@ export function calculateAllStructuredLabels(sample: {
     return <AllStructuredLabels[]>allStructuredLabels;
 }
 
-export type ExportUploaderInfoFileCategory = 'training' | 'testing' | 'post-processing' | 'split';
+export type ExportUploaderInfoFileCategory = 'training' | 'testing' | 'validation' | 'post-processing' | 'split';
 
 export type ExportUploaderInfoFileMultiLabel = {
     startIndex: number;