Scores
Retrieve Prompt
Retrieve Training Dataset
ModelsExpand Collapse
ScoreRetrievePromptResponse object { details, modelId, score, 2 more }
details: object { captionsSimilarity, embeddingSimilarity, promptsSimilarity } Different components used to compute the final score
Different components used to compute the final score
captionsSimilarity: object { mean, median, min } The Dice-Sørensen similarity between the prompt and each captions from the model’s training images
The values are between 0 and 1. The higher the value, the more similar the prompt is to the training images’ captions
The Dice-Sørensen similarity between the prompt and each captions from the model’s training images
The values are between 0 and 1. The higher the value, the more similar the prompt is to the training images’ captions
The prompt’s score for the input modelId
The score is a number between 0 and 1. The higher the score, the better the prompt is for the model
status: "complete" or "incomplete" or "unknown"The status of the prompt’s score
Details if all the necessary data is present to compute the score
The status of the prompt’s score
Details if all the necessary data is present to compute the score
syntaxError: optional "Prompt weight should be between 0 and 2" or "Prompt weight symbol should be - or + with a maximum length of 5. Ex: --, ++, ---, +++++" or "Unsupported prompt syntax: '[to:when], [from::when]'" or 4 morePresent only if the prompt has one or more syntax errors
The API checks several syntax errors in the prompt
Present only if the prompt has one or more syntax errors
The API checks several syntax errors in the prompt
ScoreRetrieveTrainingDatasetResponse object { details, modelId, score, 3 more }
details: object { assetCouplesCaptionsDistance, assetCouplesSimilarity, assetsEmbeddingSimilarity, 4 more } Different components used to compute the final score
Different components used to compute the final score
assetCouplesCaptionsDistance: array of object { couple, distance } For each couple of assets in the training dataset, the distance between the captions
For each couple of assets in the training dataset, the distance between the captions
assetCouplesSimilarity: array of object { couple, similarity } For each couple of assets in the training dataset, the similarity between the assets
For each couple of assets in the training dataset, the similarity between the assets
assetsEmbeddingSimilarity: array of object { assetId, similarity } For each asset, the similarity with the model’s embedding (excluding the current asset)
For each asset, the similarity with the model’s embedding (excluding the current asset)
assetsSimilarity: object { mean, median, min } The min, mean, median of the assetsEmbeddingSimilarity
The min, mean, median of the assetsEmbeddingSimilarity
couplesCaptionsDistance: object { mean, median, min } The min, mean, median of the assetCouplesCaptionsDistance
The min, mean, median of the assetCouplesCaptionsDistance
The training dataset’s score for the input modelId
The score is a number between 0 and 1. The higher the score, the most chance the model has to train well
status: "complete" or "incomplete" or "unknown"The status of the training dataset’s score
Details if all the necessary data is present to compute the score
The status of the training dataset’s score
Details if all the necessary data is present to compute the score
assetCouplesWarnings: optional array of object { couple, message } Present only if their is a warning between the assets of the couples
Present only if their is a warning between the assets of the couples