Python:python呼び出しmatlabコード(ラベル列の変換)

'''
Date:2020-07-11
Auther:Deniu He
Email:[email protected]
Organization: CQUPT
         matlab  
'''
import matlab
import matlab.engine
import pandas as pd
import numpy as np
import os
from sklearn import datasets
from sklearn.linear_model import LogisticRegression
from sklearn.svm import SVC
from sklearn.model_selection import KFold,StratifiedKFold,StratifiedShuffleSplit,train_test_split
from sklearn.metrics import accuracy_score,f1_score


if __name__ == '__main__':
    ##-------------  matlab  -----------------###
    engine = matlab.engine.start_matlab()  #   matlab  
    # path = r"D:\Program Files\MATLAB\orca-master\exampledata\ERA.csv"
    # data = np.loadtxt(path, dtype=float, delimiter=',')
    # X = data[:, :-1]
    # y = data[:, -1]
    path2 = r"D:\ExperimentalData\Jain\jain.csv"
    data = np.array(pd.read_csv(path2, header=None))
    X = data[:, :-1]
    y = data[:, -1]


    X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.25)
    y_train = np.vstack(y_train)
    y_test = np.vstack(y_test)

    print(y_train.shape)
    train_X = matlab.double(X_train.tolist())
    train_y = matlab.double(y_train.tolist())
    test_X = matlab.double(X_test.tolist())
    test_y = matlab.double(y_test.tolist())
    acc = engine.Diaoyong(train_X,train_y,test_X,test_y)

    print(acc)

pythonではラベルベクトルはndarray形式であり、形状は(1000,)であり、本質的には行ベクトルである.
まず(1000,1)のフォーマットに変換する必要があります.