validation

Validation utilities for time series datasets.

This module provides functions to validate dataset compatibility and integrity, particularly for operations that combine multiple datasets.

Functions

validate_datetime_column(series[, column_name])	Validate that a pandas Series is of datetime type.
validate_disjoint_columns(datasets)	Check if the datasets have overlapping feature names.
validate_required_columns(df, required_columns)	Check if the dataset contains all required columns.
validate_same_columns(datasets)	Check if the datasets have the same feature names.
validate_same_sample_intervals(datasets)	Check if the datasets have the same sample interval.