Example #1
0
def run(scale, scp, scp2, ngrid, addymin, mdeg, C):
   MyCData = cdata(scp, scp2, mdeg, ngrid, xmax, xmin, ymax, ymin, scale)
   MyCData.train(df1, C=C)
   Ytest = MyCData.test(df2)
   dfout = pd.DataFrame(columns=cats, data=Ytest)
   with gzip.GzipFile('myout.csv.gz',mode='w',compresslevel=9) as gzfile:
      dfout.to_csv(gzfile, index_label='Id')
Example #2
0
def run(scale, scp, scp2, ngrid, addymin, mdeg, C):
    MyCData = cdata(scp, scp2, mdeg, ngrid, xmax, xmin, ymax, ymin, scale)
    MyCData.train(df1, C=C)
    Ytest = MyCData.test(df2)
    dfout = pd.DataFrame(columns=cats, data=Ytest)
    with gzip.GzipFile('myout.csv.gz', mode='w', compresslevel=9) as gzfile:
        dfout.to_csv(gzfile, index_label='Id')
Example #3
0
def run(scale, scp, scp2, ngrid, addymin, mdeg, C):
   MyCData = cdata(scp, scp2, mdeg, ngrid, xmax, xmin, ymax, ymin, scale)
   MyCData.train(df1, C=C)
   Ytest = MyCData.test(df2)
   y = df2.Category.as_matrix()
   s = "scale = %f, C = %f, scp = %f, scp2 = %f, order = %d, logloss = %f" % (scale, C, scp, scp2, mdeg, Ent(y, Ytest))
   #print s
   sl.append(s)