diff --git a/index.html b/index.html index 43726da..2213851 100644 --- a/index.html +++ b/index.html @@ -118,7 +118,7 @@
Other team members
syntax. For other serialisations please use the appropriate mechanism.
While it is permissible to provide multiple types, it is preferred to use a single type. MANY - Schema.org, Bioschemas + Schema.org Other team members - ethicalLegalSocial + ethicalLegalSocial Text Considerations with respect to ethical, legal and social aspects. ONE @@ -140,28 +140,28 @@
Other team members
- evaluatedOn + evaluatedOn Dataset Dataset used for evaluating the model. The dataset used for evaluation may not have been part of the train/test/validation (e.g., a benchmark, extrinsic validation). ONE FAIR4ML Context - fineTunedFrom + fineTunedFrom MLModel Relationship to point to the source model used for fine tuning (if this model was fine-tuned from another one). ONE FAIR4ML Context - hasCO2eEmissions + hasCO2eEmissions Text Amount of CO2 equivalent emissions produced by the model. The unit should be included in the field (e.g., 10 tonnes). ONE FAIR4ML Context - intendedUse + intendedUse Text DefinedTerm URL @@ -170,7 +170,7 @@
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FAIR4ML Context - mlTask + mlTask Text DefinedTerm ML task addressed by this ML software or model (e.g., binary classification). @@ -178,7 +178,7 @@
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FAIR4ML Context - modelCategory + modelCategory Text DefinedTerm Category of this ML model (e.g., Supervised, Unsupervised, Semi-supervised, Reinforcement), learning architecture (e.g., CNN), underlying algorithm (e.g., logistic regression, random forest). @@ -186,14 +186,14 @@
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FAIR4ML Context - modelRisks + modelRisks Text Description of the risks and biases of the model, in a human-readable manner. ONE FAIR4ML Context - sharedBy + sharedBy Person Organization Person or Organization who shared the model online (e.g., uploading it to HuggingFace). @@ -201,28 +201,28 @@
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FAIR4ML Context - testedOn + testedOn Dataset Link to the dataset used to test the model (following train/test/validation splits). ONE FAIR4ML Context - trainedOn + trainedOn Dataset AI-ready dataset (after pre-processing) used for the training and optimization of this ML model. ONE FAIR4ML Context - usageInstructions + usageInstructions Text Description of the instructions needed to run the model (e.g., to do inference on a task). Code snippets may be used for illustration. ONE FAIR4ML Context - validatedOn + validatedOn Dataset Link to the dataset used to validate the model. Typically the training dataset is a separated set from the train/testing set. ONE