Create a new experiment. If check_if_exist is enabled, the function will check if an experiment with the same name already exists. If yes, it will return a message and the information of the existing experiment instead of creating a new one.
create_experiment(
project_id,
name,
provider,
data_type,
training_type,
check_if_exist = FALSE
)
id of the project in which we create the experiment.
name of the experiment.
provider of the experiment ("prevision-auto-ml" or "external")
type of data ("tabular", "images" or "timeseries").
type of the training you want to achieve ("regression", "classification", "multiclassification", "clustering", "object-detection" or "text-similarity").
boolean (FALSE by default). If TRUE, makes extra checks to see if an experiment with the same name is already existing.
list - experiment information.