Package Reference
Heap
Heap.__init__()
Heap.color()
Heap.cost()
Heap.dad()
Heap.go_down()
Heap.go_up()
Heap.insert()
Heap.is_empty()
Heap.is_full()
Heap.last()
Heap.left_son()
Heap.p()
Heap.policy()
Heap.pos()
Heap.remove()
Heap.right_son()
Heap.size()
Heap.update()
Node
Node.__init__()
Node.adjacency()
Node.cluster_label()
Node.cost()
Node.density()
Node.features()
Node.idx()
Node.label()
Node.n_plateaus()
Node.pred()
Node.predicted_label()
Node.radius()
Node.relevant()
Node.root()
Node.status()
OPF
OPF.__init__()
OPF._read_distances()
OPF.distance()
OPF.distance_fn()
OPF.fit()
OPF.load()
OPF.pre_computed_distance()
OPF.pre_distances()
OPF.predict()
OPF.save()
OPF.subgraph()
Subgraph
Subgraph.__init__()
Subgraph._build()
Subgraph._load()
Subgraph.destroy_arcs()
Subgraph.idx_nodes()
Subgraph.mark_nodes()
Subgraph.n_features()
Subgraph.n_nodes()
Subgraph.nodes()
Subgraph.reset()
Subgraph.trained()
DISTANCES
additive_symmetric_distance()
average_euclidean_distance()
bhattacharyya_distance()
bray_curtis_distance()
canberra_distance()
chebyshev_distance()
chi_squared_distance()
chord_distance()
clark_distance()
cosine_distance()
dice_distance()
divergence_distance()
euclidean_distance()
gaussian_distance()
gower_distance()
hamming_distance()
hassanat_distance()
hellinger_distance()
jaccard_distance()
jeffreys_distance()
jensen_distance()
jensen_shannon_distance()
k_divergence_distance()
kulczynski_distance()
kullback_leibler_distance()
log_euclidean_distance()
log_squared_euclidean_distance()
lorentzian_distance()
manhattan_distance()
matusita_distance()
max_symmetric_distance()
mean_censored_euclidean_distance()
min_symmetric_distance()
neyman_distance()
non_intersection_distance()
pearson_distance()
sangvi_distance()
soergel_distance()
squared_chord_distance()
squared_distance()
squared_euclidean_distance()
statistic_distance()
topsoe_distance()
vicis_symmetric1_distance()
vicis_symmetric2_distance()
vicis_symmetric3_distance()
vicis_wave_hedges_distance()
confusion_matrix()
logger
normalize()
opf_accuracy()
opf_accuracy_per_label()
pre_compute_distance()
purity()
generate_gaussian_random_number()
generate_uniform_random_number()
KNNSupervisedOPF
KNNSupervisedOPF.__init__()
KNNSupervisedOPF._clustering()
KNNSupervisedOPF._learn()
KNNSupervisedOPF.fit()
KNNSupervisedOPF.max_k()
KNNSupervisedOPF.predict()
SupervisedOPF
SupervisedOPF.__init__()
SupervisedOPF._find_prototypes()
SupervisedOPF.fit()
SupervisedOPF.learn()
SupervisedOPF.predict()
SupervisedOPF.prune()
UnsupervisedOPF
UnsupervisedOPF.__init__()
UnsupervisedOPF._best_minimum_cut()
UnsupervisedOPF._clustering()
UnsupervisedOPF._normalized_cut()
UnsupervisedOPF.fit()
UnsupervisedOPF.max_k()
UnsupervisedOPF.min_k()
UnsupervisedOPF.predict()
UnsupervisedOPF.propagate_labels()
load_csv()
load_json()
load_txt()
parse_loader()
merge()
split()
split_with_index()
KNNSubgraph
KNNSubgraph.__init__()
KNNSubgraph.best_k()
KNNSubgraph.calculate_pdf()
KNNSubgraph.constant()
KNNSubgraph.create_arcs()
KNNSubgraph.density()
KNNSubgraph.eliminate_maxima_height()
KNNSubgraph.max_density()
KNNSubgraph.min_density()
KNNSubgraph.n_clusters()
BLACK
EPSILON
FLOAT_MAX
GRAY
IRRELEVANT
MAX_ARC_WEIGHT
MAX_DENSITY
NIL
PROTOTYPE
RELEVANT
STANDARD
WHITE
opf2csv()
opf2json()
opf2txt()
ArgumentError
ArgumentError.__init__()
BuildError
BuildError.__init__()
Error
Error.__init__()
SizeError
SizeError.__init__()
TypeError
TypeError.__init__()
ValueError
ValueError.__init__()
FORMATTER
LOG_FILE
get_console_handler()
get_logger()
get_timed_file_handler()