def is_R_accuracy(acc):
if type(acc) is robjects.Matrix:
cnames = colnames(acc)
r, c = dim(acc)
if ('matrix' in cls(acc)
and 'MASE' in cnames
and r in {1,2} and c in {7,8}):
return True
return False
def testCls(self):
self.assertTrue('ts' in rbase.cls(self.oil_ts))
self.assertRaises(TypeError, rbase.cls, self.oil)
def is_R_forecast(fc): return type(fc) is robjects.ListVector and 'forecast' in cls(fc)
def is_R_matrix(x): return type(x) is robjects.Matrix and 'matrix' in cls(x)
def is_R_ts(x): return type(x) is robjects.FloatVector and 'ts' in cls(x)
def is_R_decomposition(dc):
return (type(dc) is robjects.ListVector
and cls(dc)[0] in ['stl', 'decomposed.ts'])