| list_all_challenges | List all available challenges.
Returns:
Dictionary containing list of challenges with their details
|
| get_challenge_info | Get detailed information about the current challenge.
Returns:
Dictionary containing challenge details
|
| switch_challenge | Switch to a different challenge.
Args:
challenge_slug: The slug of the challenge to switch to
Returns:
Success message
|
| list_training_datasets | List all available training datasets for the current challenge.
Returns:
Dictionary containing list of training datasets
|
| download_training_dataset | Download a specific training dataset.
Args:
version: The version string of the training dataset (e.g., '1.0', '2.1') or 'latest'
dest_path: Absolute path where to save the dataset, must end with .parquet
Returns:
Success message or error
|
| download_inference_data | Download inference data for a specific period.
Args:
release_date: The release date in 'YYYY-MM-DD' format or 'current' or 'latest'
dest_path: Absolute path where to save the data, must end with .parquet
poll: Whether to wait for the inference data to be available before downloading
poll_interval: Seconds to wait between retries when polling
timeout: Maximum seconds to wait before raising TimeoutError (None waits indefinitely)
Returns:
Success message or error
|
| submit_predictions_from_file | Submit predictions from a Parquet file.
Args:
file_path: Absolute path to the predictions file, must end with .parquet
slot: Submission slot number (1-based, default: 1)
Returns:
Dictionary with submission details
|
| submit_predictions_from_dataframe | Submit predictions from a JSON representation of a dataframe.
Args:
df: dataframe containing predictions data
slot: Submission slot number (1-based, default: 1)
Returns:
Dictionary with submission details
|
| list_submissions | List recent submissions.
Args:
period: Optional filter for submissions by period:
- 'current': Only show submissions for the current active period
- 'YYYY-MM-DD': Only show submissions for a specific inference period date
Returns:
Dictionary containing list of submissions
|
| get_submission | Get details about a specific submission.
Args:
submission_id: The ID of the submission
Returns:
Dictionary containing submission details
|
| download_meta_model | Download the consolidated meta model for the current challenge.
Args:
dest_path: Absolute path where to save the meta model, must end with .parquet
Returns:
Success message or error
|
| get_training_dataset_info | Get detailed information about a specific training dataset.
Args:
version: The version string of the training dataset (e.g., '1.0', '2.1') or 'latest'
Returns:
Dictionary containing dataset details
|
| get_inference_data_info | Get detailed information about a specific inference data period.
Args:
release_date: The release date in 'YYYY-MM-DD' format or 'current' or 'latest'
Returns:
Dictionary containing inference data details
|
