# Install reticulate if not already installedinstall.packages("reticulate")# Install the latest Vectice libraryreticulate::py_install("vectice", pip =TRUE)# Or install a specific version of Vecticereticulate::py_install("vectice==<desired_version_number>", pip =TRUE)
Connect to Vectice
Get started by connecting to the Vectice API and starting an iteration.
#import and connect to Vecticevectice <- reticulate::import("vectice")connect <- vectice$connect( api_token ='your-api-key', # Paste your api key host ='https://app.vectice.com', # Paste your host)# Connect to your project phase using your phase IDphase = connect$phase("PHA-XXX")#You can fetch the relevant phase ID from your chosen Vectice project in the app.#Create an iterationiteration <- phase$create_or_get_current_iteration()
Auto-document your assets
Auto-document your notes, datasets, and models directly to Vectice.
Auto-document NOTES
# Auto-document your first comments or notesiteration$log("this is a comment")
Auto-document DATASETS
# Auto-document your first dataset from a local fileds_resource <- vectice$FileResource(paths, dataframes)raw_ds <- vectice$Dataset$origin(name=name, resource=ds_resource, attachments = attachments)iteration$log(raw_ds)
Auto-document MODELS
# Auto-document your first modelmodel <- vectice$Model(library, technique, metrics, properties, name, attachments, predictor)iteration$log(model)
Close your iteration
Once you are done logging your assets for an iteration, mark it complete.
# Completes and closes the current iteration once you are happy with ititeration$complete()
