extended binary SVM based on Kernel Matrix

extended binary SVM based on Kernel Matrix

"""
限制 parzen window 的大小
"""
import xlwt
import math
import numpy as np
import pandas as pd
from pathlib import Path
from sklearn.model_selection import StratifiedKFold
from collections import OrderedDict
from sklearn.svm import SVC
from scipy.special import expit
from copy import deepcopy
from scipy.spatial.distance import pdist, squareform
from sklearn.metrics import accuracy_score, mean_absolute_error, f1_score
from sklearn.preprocessing import StandardScaler
from sklearn.metrics.pairwise import rbf_kernel
from KBS_NEW.PointwiseQuery.ALOR import ALOR
from sklearn.metrics import accuracy_score

class EBSVM_Kernel():
    def __init__(self):
        self.gamma = 0.1
        self.C = 100
    def fit(self,Kernel_matrix, y, nSample, labels, nClass):
        self.KM = Kernel_matrix
        self.y = np.asarray(y, dtype=np.int)
        self.nSample = nSample
        self.Labels = labels
        self.nClass