commit
4e44dd83a7
@ -436,7 +436,11 @@ def train(params, dtrain, num_boost_round = 10, evals = [], obj=None, feval=None
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for i in range(num_boost_round):
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bst.update( dtrain, i, obj )
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if len(evals) != 0:
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sys.stderr.write(bst.eval_set(evals, i, feval).decode()+'\n')
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bst_eval_set=bst.eval_set(evals, i, feval)
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if isinstance(bst_eval_set,str):
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sys.stderr.write(bst_eval_set+'\n')
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else:
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sys.stderr.write(bst_eval_set.decode()+'\n')
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return bst
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class CVPack:
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@ -467,7 +471,7 @@ def mknfold(dall, nfold, param, seed, evals=[], fpreproc = None):
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dtrain, dtest, tparam = fpreproc(dtrain, dtest, param.copy())
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else:
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tparam = param
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plst = tparam.items() + [('eval_metric', itm) for itm in evals]
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plst = list(tparam.items()) + [('eval_metric', itm) for itm in evals]
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ret.append(CVPack(dtrain, dtest, plst))
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return ret
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@ -481,12 +485,16 @@ def aggcv(rlist, show_stdv=True):
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arr = line.split()
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assert ret == arr[0]
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for it in arr[1:]:
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if not isinstance(it,str):
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it=it.decode()
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k, v = it.split(':')
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if k not in cvmap:
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cvmap[k] = []
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cvmap[k].append(float(v))
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for k, v in sorted(cvmap.items(), key = lambda x:x[0]):
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v = np.array(v)
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if not isinstance(ret,str):
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ret = ret.decode()
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if show_stdv:
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ret += '\tcv-%s:%f+%f' % (k, np.mean(v), np.std(v))
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else:
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