GuokaiLiu

https://stackoverflow.com/questions/3337301/numpy-matrix-to-array
  
b = a.A # raw dimension

c = a.A1 # 1D dimension

GuokaiLiu

from ServerUtils import loadcwru
from imblearn.datasets import make_imbalance
from imblearn.over_sampling import BorderlineSMOTE, SMOTE, ADASYN, SVMSMOTE, RandomOverSampler

# Set parameters
datast = 'DataPre_CWRU_Demo'
outdim = 10
source = 'D'
Inshape = '1D'
resample = 'SMOTE'

GuokaiLiu

# https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.plotting.radviz.html
import pandas as pd

# 1 Demo
df = pd.DataFrame(
    {
        'SepalLength': [6.5, 7.7, 5.1, 5.8, 7.6, 5.0, 5.4, 4.6, 6.7, 4.6],
        'SepalWidth': [3.0, 3.8, 3.8, 2.7, 3.0, 2.3, 3.0, 3.2, 3.3, 3.6],
        'PetalLength': [5.5, 6.7, 1.9, 5.1, 6.6, 3.3, 4.5, 1.4, 5.7, 1.0],
        'PetalWidth': [1.8, 2.2, 0.4, 1.9, 2.1, 1.0, 1.5, 0.2, 2.1, 0.2],

GuokaiLiu

# Make imbalanced training samples 
print(X_train.shape)
print(Y_train.shape)

a = []
for i in range(10):
    for j in range(100):
        if i!=4:
            a.append(i*100+j)
        elif j<10:

GuokaiLiu

GuokaiLiu

import os

print('Hello gist.')