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In [1]:

    
!pip install .









    



Processing /Users/Rita/Desktop/STA_663/STA-663-Final-Project-colab/fastfsr
  Requirement already satisfied (use --upgrade to upgrade): fastfsr==0.1 from file:///Users/Rita/Desktop/STA_663/STA-663-Final-Project-colab/fastfsr in /Users/Rita/anaconda/lib/python3.5/site-packages



In [2]:

    
import fastfsr



In [3]:

    
import pandas as pd
ncaa = pd.read_csv("http://www4.stat.ncsu.edu/~boos/var.select/ncaa.data2.txt", 
                   delim_whitespace = True)
x = ncaa.ix[:,:-1]
y = ncaa.ix[:,-1]
x.head()



In [4]:

    
fastfsr.lasso_fit(x,y)









    Out[4]:





{'df_residual': 92,
 'fitted': array([ 52.92355824,  57.0009211 ,  57.0009211 ,  58.36004205,
         57.0009211 ,  54.28267919,  58.36004205,  66.51476775,
         55.64180014,  63.79652585,  55.64180014,  59.719163  ,
         61.07828395,  59.719163  ,  69.23300966,  55.64180014,
         54.28267919,  62.4374049 ,  58.36004205,  51.56443729,
         62.4374049 ,  62.4374049 ,  57.0009211 ,  54.28267919,
         63.79652585,  58.36004205,  59.719163  ,  59.719163  ,
         58.36004205,  57.0009211 ,  55.64180014,  59.719163  ,
         54.28267919,  58.36004205,  52.92355824,  61.07828395,
         55.64180014,  59.719163  ,  62.4374049 ,  63.79652585,
         58.36004205,  59.719163  ,  57.0009211 ,  57.0009211 ,
         62.4374049 ,  57.0009211 ,  58.36004205,  58.36004205,
         55.64180014,  62.4374049 ,  67.87388871,  59.719163  ,
         58.36004205,  58.36004205,  59.719163  ,  55.64180014,
         57.0009211 ,  61.07828395,  59.719163  ,  59.719163  ,
         67.87388871,  62.4374049 ,  55.64180014,  52.92355824,
         51.56443729,  58.36004205,  55.64180014,  67.87388871,
         62.4374049 ,  59.719163  ,  59.719163  ,  58.36004205,
         51.56443729,  59.719163  ,  61.07828395,  57.0009211 ,
         54.28267919,  61.07828395,  61.07828395,  65.1556468 ,
         62.4374049 ,  62.4374049 ,  55.64180014,  57.0009211 ,
         65.1556468 ,  65.1556468 ,  59.719163  ,  57.0009211 ,
         65.1556468 ,  59.719163  ,  58.36004205,  55.64180014,
         61.07828395,  57.0009211 ]),
 'index': array([1]),
 'residual': 15913.861386451388,
 'size': 1}



In [5]:

    
pval = np.array([  1.11022302e-16,   6.95109478e-05,   1.15845889e-02,
          5.29907450e-03,   2.48342482e-03,   4.33151925e-02,
          5.27341418e-02,   1.05631519e-01,   8.26270613e-02,
          5.36356789e-02,   2.34958569e-01,   2.86440303e-01,
          3.16318194e-01,   2.69726331e-01,   4.95325787e-01,
          6.32648734e-01,   7.05641795e-01,   8.60540370e-01,
          9.03197593e-01])
fastfsr.fsr_fast_pv(pval, x.shape[1])









    



---------------------------------------------------------------------------
NameError                                 Traceback (most recent call last)
<ipython-input-5-a8a2b02b053c> in <module>()
----> 1 pval = np.array([  1.11022302e-16,   6.95109478e-05,   1.15845889e-02,
      2           5.29907450e-03,   2.48342482e-03,   4.33151925e-02,
      3           5.27341418e-02,   1.05631519e-01,   8.26270613e-02,
      4           5.36356789e-02,   2.34958569e-01,   2.86440303e-01,
      5           3.16318194e-01,   2.69726331e-01,   4.95325787e-01,

NameError: name 'np' is not defined



In [ ]:

	x1	x2	x3	x4	x5	x6	x7	x8	x9	x10	x11	x12	x13	x14	x15	x16	x17	x18	x19
0	13	17	9	15	28.0	0	-1.14045	3.660	4.490	3409	65.8	18	81	42.2	660000	77	100	59	1
1	28	20	32	18	18.4	18	-0.13719	2.594	3.610	7258	66.3	17	82	40.5	150555	88	94	41	25
2	32	20	20	20	34.8	18	1.55358	2.060	4.930	6405	75.0	19	71	46.5	415400	94	81	25	36
3	32	21	24	21	14.5	20	2.05712	2.887	3.876	18294	66.0	16	84	42.2	211000	93	88	26	13
4	24	20	16	20	21.8	13	-0.77082	2.565	4.960	8259	63.5	16	91	41.2	44000	90	92	32	31