Algorithm

the type of algorithm used by the computing task

trainingType(string)

if applicable, type of training (if the stage corresponds to a training) : supervisedLearning, unsupervisedLearning, semiSupervisedLearning, reinforcementLearning, transferLearning ...

Type: string
Required: False

algorithmType(string)

the type of algorithm used, example : embeddings creation, rag, nlp, neural network, llm...

Type: string
Required: False

algorithmName(string)

the case-sensitive common name of the algorithm, example: randomForest, naive bayes, cnn, rnn, transformers, if you are directly using a foundation model, let it empty and fill the field foundationModelName...

Type: string
Required: False

algorithmUri(string)

the URI of the model, if publicly available

Type: string
Required: False

foundationModelName(string)

if a foundation model is used, its case-sensitive common name, example: llama3.1-8b, gpt4-o...

Type: string
Required: False

foundationModelUri(string)

the URI of the foundation model, if publicly available

Type: string
Required: False

parametersNumber(number)

number of billions of total parameters of your model, e.g. 8 for llama3.1-8b

Type: number
Required: False

framework(string)

the common name of the software framework implementing the algorithm, if any

Type: string
Required: False

frameworkVersion(string)

the version of the software framework implementing the algorithm, if any

Type: string
Required: False

classPath(string)

the full class path of the algorithm within the framework, with elements separated by dots

Type: string
Required: False

layersNumber(number)

if deep learning, precise the number of layers in your network

Type: number
Required: False

epochsNumber(number)

if training, the number of complete passes through the training dataset

Type: number
Required: False

optimizer(string)

the algorithm used to optimize the models weights, e.g. gridSearch, lora, adam

Type: string
Required: False

quantization(string)

the type of quantization used : fp32, fp16, b16, int8 ...

Type: string
Required: False