citylearn.end_use_load_profiles.clustering module

class citylearn.end_use_load_profiles.clustering.Clustering(end_use_load_profiles: EndUseLoadProfiles, bldg_ids: List[int], maximum_clusters: int = None, sum_of_squares_error_minimum_percent_change: float = None, random_seed: int = None)

Bases: object

property bldg_ids: List[int]

cluster() → Tuple[int, DataFrame, DataFrame]

get_optimal_clusters(clusters: List[int], sum_of_squares_error: List[float], calinski_harabasz_score: List[float], silhouette_score: List[float], davies_bouldin_score: List[float]) → int

property maximum_clusters: int

property random_seed: int

set_data() → DataFrame

property sum_of_squares_error_minimum_percent_change: float

class citylearn.end_use_load_profiles.clustering.MetadataClustering(end_use_load_profiles: EndUseLoadProfiles, bldg_ids: List[int], maximum_clusters: int = None, sum_of_squares_error_minimum_percent_change: float = None, random_seed: int = None)

Bases: Clustering

set_data() → DataFrame