AttributeError: 'Sampler' object has no attribute 'sample', for DensityBasedSampling

[desmond-molloy-mcl]

Currently, it is not possible to use DensityBasedSampling in this package. The code below, taken from the README, would be expected to successfully create a sampled dataset.

from sampling.Sampler import *
from sampling.SamplingMethods import *
import numpy as np
data = np.array([[1, 2], [3, 4], [5, 6], [7, 8], [9, 10]])
labels = np.array([0, 1, 0, 1, 0])
sampler = Sampler() # Initialize the Sampler object
sampler.set_data(data, labels)
# data: an (n*2) numpy array indicating the point coordinates
# labels: an (n*1) numpy array indicating the class labels with integers 0, 1, 2, ...
# or None if you use single-class sampling methods
sampler.set_sampling_method(DensityBiasedSampling, sampling_rate=0.5)
indices = sampler.sample()
# indices: an (m*1) numpy array indicating the indices of the sampling result
sampled_data, sampled_labels = sampler.get_samples()
# sampled_data: an (m*2) numpy array indicating the sampled point coordinates
# sampled_labels: an (m*2) numpy array indicating the class labels of the sampled points

However, it throws the following error:

, line 14, in <module>
    indices = sampler.sample()
AttributeError: 'Sampler' object has no attribute 'sample'

This error does not occur when sampling method RandomSampling is used.