Datasets:

MaxKJC
/

TSDBench

# ============================================================
# Store_Sales_protocol/tasks/general_task.yaml
# ============================================================
# Purpose:
# - This file contains only processing rules shared by all tasks and naming conventions.

# Recommended reading order for each task.yaml:
# 1) Start with sample in each task.yaml: what constitutes one sample.
# 2) Read inputs: what the model can access at inference time.
# 3) Read prediction: what the model should predict.
# 4) Finally, read leakage: which columns must be excluded from model inputs.
# ============================================================

general_defaults:
  # ------------------------------------------------------------
  # Default input processing rules.
  # Note: these are processing defaults, not input field defaults.
  # These rules specify how to process time series, tabular, or graph inputs when a task uses them,
  # but do not automatically add any input fields to a task.
  # ------------------------------------------------------------
  input_processing:
    tabular_static:
      # Unique identifier column for Store Sales nodes (one node = one (store_nbr, family) pair).
      # This column is used only to join labels, splits, and metadata.
      id_column: episode_id

    time_series:
      # Store Sales time series uses timestamp as the time axis and episode_id values as columns.
      timestamp_column: timestamp
      id_column: episode_id
      timezone: UTC

      sampling:
        # The Store Sales protocol organizes time series at daily resolution by default.
        native_rate: 1day

        # By default, the task resolution matches the native resolution.
        task_rate: 1day

        # Aggregation method when task_rate is coarser than native_rate.
        downsample_method: mean

        # Interpolation method when task_rate is finer than native_rate (generally not recommended).
        upsample_method: ffill

    graph:
      # The Store Sales relation graph is static by default.
      directed: false
      weighted: false

  # ------------------------------------------------------------
  # Standard split names.
  # Use these standard values in splits.csv to avoid mixing train/val/valid/dev.
  # ------------------------------------------------------------
  split_names:
    train: train
    validation: validation
    test: test

  # ------------------------------------------------------------
  # Inheritance rules.
  # A task can set inherit_general: true to inherit this file's processing defaults.
  # Note: inheritance only affects default rules such as input_processing / split_names,
  # and does not automatically inherit any specific input fields.
  # ------------------------------------------------------------
  inheritance:
    default_inherit_general: true
    merge_strategy: recursive_override

	# ============================================================
	# Store_Sales_protocol/tasks/general_task.yaml
	# ============================================================
	# Purpose:
	# - This file contains only processing rules shared by all tasks and naming conventions.

	# Recommended reading order for each task.yaml:
	# 1) Start with sample in each task.yaml: what constitutes one sample.
	# 2) Read inputs: what the model can access at inference time.
	# 3) Read prediction: what the model should predict.
	# 4) Finally, read leakage: which columns must be excluded from model inputs.
	# ============================================================

	general_defaults:
	# ------------------------------------------------------------
	# Default input processing rules.
	# Note: these are processing defaults, not input field defaults.
	# These rules specify how to process time series, tabular, or graph inputs when a task uses them,
	# but do not automatically add any input fields to a task.
	# ------------------------------------------------------------
	input_processing:
	tabular_static:
	# Unique identifier column for Store Sales nodes (one node = one (store_nbr, family) pair).
	# This column is used only to join labels, splits, and metadata.
	id_column: episode_id

	time_series:
	# Store Sales time series uses timestamp as the time axis and episode_id values as columns.
	timestamp_column: timestamp
	id_column: episode_id
	timezone: UTC

	sampling:
	# The Store Sales protocol organizes time series at daily resolution by default.
	native_rate: 1day

	# By default, the task resolution matches the native resolution.
	task_rate: 1day

	# Aggregation method when task_rate is coarser than native_rate.
	downsample_method: mean

	# Interpolation method when task_rate is finer than native_rate (generally not recommended).
	upsample_method: ffill

	graph:
	# The Store Sales relation graph is static by default.
	directed: false
	weighted: false

	# ------------------------------------------------------------
	# Standard split names.
	# Use these standard values in splits.csv to avoid mixing train/val/valid/dev.
	# ------------------------------------------------------------
	split_names:
	train: train
	validation: validation
	test: test

	# ------------------------------------------------------------
	# Inheritance rules.
	# A task can set inherit_general: true to inherit this file's processing defaults.
	# Note: inheritance only affects default rules such as input_processing / split_names,
	# and does not automatically inherit any specific input fields.
	# ------------------------------------------------------------
	inheritance:
	default_inherit_general: true
	merge_strategy: recursive_override