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Edit and run



In [2]:

    
%matplotlib inline



In [3]:

    
import matplotlib.pyplot as plt



In [4]:

    
import numpy
import numpy as np
import pandas
import pandas as pd



In [5]:

    
import os, sys
print(os.getcwd() )
print( os.listdir( "../data/") )









    



/home/topolo/PropD/cuBlackDream/examples
['ex2data2.txt', 'ex1data1.txt', 'ex1data2.txt', 'Xex1data2.npy', 'ex1data2.npy', 'ex2data1.txt']



In [6]:

    
ex2data1DF = pd.read_csv("../data/ex2data1.txt",header=None)
ex2data2DF = pd.read_csv("../data/ex2data2.txt", header=None)



In [7]:

    
Xyex2data1 = ex2data1DF.values
Xex2data1 = Xyex2data1[:,0:-1]
yex2data1 = Xyex2data1[:,-1]
Xyex2data2 = ex2data2DF.values
Xex2data2 = Xyex2data2[:,0:-1]
yex2data2 = Xyex2data2[:,-1]
print(Xex2data1.shape)
print(yex2data1.shape)
print(Xex2data2.shape)
print(yex2data2.shape)
Xex2data1 = np.vstack( Xex2data1 )
yex2data1 = np.vstack( yex2data1 )
yex2data2 = np.vstack( yex2data2 )
print(Xex2data1.shape)
print(yex2data1.shape)
print(Xex2data2.shape)
print(yex2data2.shape)









    



(100, 2)
(100,)
(118, 2)
(118,)
(100, 2)
(100, 1)
(118, 2)
(118, 1)



In [8]:

    
ex2data1DF









    Out[8]:







  
    
      
      0
      1
      2
    
  
  
    
      0
      34.623660
      78.024693
      0
    
    
      1
      30.286711
      43.894998
      0
    
    
      2
      35.847409
      72.902198
      0
    
    
      3
      60.182599
      86.308552
      1
    
    
      4
      79.032736
      75.344376
      1
    
    
      5
      45.083277
      56.316372
      0
    
    
      6
      61.106665
      96.511426
      1
    
    
      7
      75.024746
      46.554014
      1
    
    
      8
      76.098787
      87.420570
      1
    
    
      9
      84.432820
      43.533393
      1
    
    
      10
      95.861555
      38.225278
      0
    
    
      11
      75.013658
      30.603263
      0
    
    
      12
      82.307053
      76.481963
      1
    
    
      13
      69.364589
      97.718692
      1
    
    
      14
      39.538339
      76.036811
      0
    
    
      15
      53.971052
      89.207350
      1
    
    
      16
      69.070144
      52.740470
      1
    
    
      17
      67.946855
      46.678574
      0
    
    
      18
      70.661510
      92.927138
      1
    
    
      19
      76.978784
      47.575964
      1
    
    
      20
      67.372028
      42.838438
      0
    
    
      21
      89.676776
      65.799366
      1
    
    
      22
      50.534788
      48.855812
      0
    
    
      23
      34.212061
      44.209529
      0
    
    
      24
      77.924091
      68.972360
      1
    
    
      25
      62.271014
      69.954458
      1
    
    
      26
      80.190181
      44.821629
      1
    
    
      27
      93.114389
      38.800670
      0
    
    
      28
      61.830206
      50.256108
      0
    
    
      29
      38.785804
      64.995681
      0
    
    
      ...
      ...
      ...
      ...
    
    
      70
      32.722833
      43.307173
      0
    
    
      71
      64.039320
      78.031688
      1
    
    
      72
      72.346494
      96.227593
      1
    
    
      73
      60.457886
      73.094998
      1
    
    
      74
      58.840956
      75.858448
      1
    
    
      75
      99.827858
      72.369252
      1
    
    
      76
      47.264269
      88.475865
      1
    
    
      77
      50.458160
      75.809860
      1
    
    
      78
      60.455556
      42.508409
      0
    
    
      79
      82.226662
      42.719879
      0
    
    
      80
      88.913896
      69.803789
      1
    
    
      81
      94.834507
      45.694307
      1
    
    
      82
      67.319257
      66.589353
      1
    
    
      83
      57.238706
      59.514282
      1
    
    
      84
      80.366756
      90.960148
      1
    
    
      85
      68.468522
      85.594307
      1
    
    
      86
      42.075455
      78.844786
      0
    
    
      87
      75.477702
      90.424539
      1
    
    
      88
      78.635424
      96.647427
      1
    
    
      89
      52.348004
      60.769505
      0
    
    
      90
      94.094331
      77.159105
      1
    
    
      91
      90.448551
      87.508792
      1
    
    
      92
      55.482161
      35.570703
      0
    
    
      93
      74.492692
      84.845137
      1
    
    
      94
      89.845807
      45.358284
      1
    
    
      95
      83.489163
      48.380286
      1
    
    
      96
      42.261701
      87.103851
      1
    
    
      97
      99.315009
      68.775409
      1
    
    
      98
      55.340018
      64.931938
      1
    
    
      99
      74.775893
      89.529813
      1
    
  

100 rows × 3 columns



In [ ]:

	0	1	2
0	34.623660	78.024693	0
1	30.286711	43.894998	0
2	35.847409	72.902198	0
3	60.182599	86.308552	1
4	79.032736	75.344376	1
5	45.083277	56.316372	0
6	61.106665	96.511426	1
7	75.024746	46.554014	1
8	76.098787	87.420570	1
9	84.432820	43.533393	1
10	95.861555	38.225278	0
11	75.013658	30.603263	0
12	82.307053	76.481963	1
13	69.364589	97.718692	1
14	39.538339	76.036811	0
15	53.971052	89.207350	1
16	69.070144	52.740470	1
17	67.946855	46.678574	0
18	70.661510	92.927138	1
19	76.978784	47.575964	1
20	67.372028	42.838438	0
21	89.676776	65.799366	1
22	50.534788	48.855812	0
23	34.212061	44.209529	0
24	77.924091	68.972360	1
25	62.271014	69.954458	1
26	80.190181	44.821629	1
27	93.114389	38.800670	0
28	61.830206	50.256108	0
29	38.785804	64.995681	0
...	...	...	...
70	32.722833	43.307173	0
71	64.039320	78.031688	1
72	72.346494	96.227593	1
73	60.457886	73.094998	1
74	58.840956	75.858448	1
75	99.827858	72.369252	1
76	47.264269	88.475865	1
77	50.458160	75.809860	1
78	60.455556	42.508409	0
79	82.226662	42.719879	0
80	88.913896	69.803789	1
81	94.834507	45.694307	1
82	67.319257	66.589353	1
83	57.238706	59.514282	1
84	80.366756	90.960148	1
85	68.468522	85.594307	1
86	42.075455	78.844786	0
87	75.477702	90.424539	1
88	78.635424	96.647427	1
89	52.348004	60.769505	0
90	94.094331	77.159105	1
91	90.448551	87.508792	1
92	55.482161	35.570703	0
93	74.492692	84.845137	1
94	89.845807	45.358284	1
95	83.489163	48.380286	1
96	42.261701	87.103851	1
97	99.315009	68.775409	1
98	55.340018	64.931938	1
99	74.775893	89.529813	1