Open smejkka3 opened 1 year ago
The function generate_candidates(X, strategy='graph_degree', target_rel='y', max_candidates=3) generates different output then shown in the example in the file, which is not correct as it is generating 3x the same array
import numpy as np import networkx as nx X = np.array([['a', 'y', 'b'], ['b', 'y', 'a'], ['a', 'y', 'c'], ['c', 'y', 'a'], ['a', 'y', 'd'], ['c', 'y', 'd'], ['b', 'y', 'c'], ['f', 'y', 'e']]) X_candidates = generate_candidates(X, strategy='graph_degree', target_rel='y', max_candidates=3) array([['b', 'y', 'c'], ['b', 'y', 'c'], ['b', 'y', 'c']], dtype=object)
import numpy as np import networkx as nx X = np.array([['a', 'y', 'b'], ['b', 'y', 'a'], ['a', 'y', 'c'], ['c', 'y', 'a'], ['a', 'y', 'd'], ['c', 'y', 'd'], ['b', 'y', 'c'], ['f', 'y', 'e']]) X_candidates = generate_candidates(X, strategy='graph_degree', target_rel='y', max_candidates=3) # ([['a', 'y', 'e'], # ['f', 'y', 'a'], # ['c', 'y', 'e']])
Run above mentioned code, ampligraph version = 1.4.0, numpy version = 1.19.5, networkx version=2.3
Description
The function generate_candidates(X, strategy='graph_degree', target_rel='y', max_candidates=3) generates different output then shown in the example in the file, which is not correct as it is generating 3x the same array
Actual Behavior
Expected Behavior
Steps to Reproduce
Run above mentioned code, ampligraph version = 1.4.0, numpy version = 1.19.5, networkx version=2.3