"""Optimum-Path Forest standard definitions.
"""
import pickle
import numpy as np
import opfython.math.distance as d
import opfython.stream.loader as loader
import opfython.utils.exception as e
import opfython.utils.logging as l
from opfython.core import Subgraph
logger = l.get_logger(__name__)
class OPF:
"""A basic class to define all common OPF-related methods.
References:
J. P. Papa, A. X. Falcão and C. T. N. Suzuki.
LibOPF: A library for the design of optimum-path forest classifiers (2015).
"""
def __init__(self,
distance='log_squared_euclidean',
pre_computed_distance=None):
"""Initialization method.
Args:
distance (str): An indicator of the distance metric to be used.
def test_get_logger():
logger = logging.get_logger(__name__)
assert logger.name == 'test_logging'
assert logger.hasHandlers() == True
