Determine whether color output should be used.

Poll ``GET /tabpfn/fit/{id}`` until the fit reaches a terminal state. Returns once the fit is COMPLETED. Raises if the fit FAILED, or

Call the /v1/fit endpoint to train a model. Args: train_path: Path to the training CSV file target_name: Name of the target

Call the /v1/predict endpoint to get predictions. Args: test_path: Path to the test CSV file model_id: The model ID from the

Display check marks for met/unmet requirements.

Upload a train set to server and return the train set UID if successful. Parameters ---------- X : array-like of sha

Retrieves the current active access token. If the client is not yet initialized, this will trigger the `init()` login flow. :return: Th

Retrieve current API usage data of the user from the server. Returns summary: str

Get the data summary of the user from the server. Returns ------- data_summary : dict The data summary r

Get the password policy from the server. Returns ------- password_policy : {} The password policy return

Login with the provided credentials and return the access token if successful. Parameters ---------- email : str

Main function to generate dataset and test both endpoints.

Resolve limit of a model to the same or closest previous version limit. Raises: ValueError: If no model limits are registered at or below

Print the large Prior Labs ASCII logo with optional subtitle.

Creates an interactive multi select

Simplified data privacy prompt for registration flow.

Prompt for email verification. Returns True if successful, 'restart' to show main menu, False to quit.

Manually sets the access token for the session. This is useful for non-interactive environments (e.g., CI/CD, Notebooks) where you want

Attempts browser-based login flow Returns (success: bool, message: str)

Verify the email with the provided token. Parameters ---------- token : str access_token : str Retu

Construct a TabPFN classifier. This constructs a classifier using the latest model and settings. If you would like to use a previous

Construct a TabPFN regressor. This constructs a regressor using the latest model and settings. If you would like to use a previous mo

This class is a singleton and should not be instantiated directly. Only use class methods.

Callback function for retry attempts.

Callback function when retries are exhausted.

Prevent browser login popup during tests.

Breast cancer classification dataset, small split.

Fetches and formats the current API usage statistics for the user. :return: A human-readable string detailing current credit usage,

Render a section header.

Predict the class labels for the provided data (test set). Parameters ---------- fitted_train_set_id : UUID

Print a small Prior Labs ASCII banner with optional subtitle.

Diabetes regression dataset, small split.