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Merge pull request #323 from jseabold/fix-errors

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BUG: XGBError -> XGBoostError
This commit is contained in:
Tianqi Chen 2015-05-18 17:00:08 +02:00
commit 01175a415a
1 changed files with 7 additions and 7 deletions
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14
wrapper/xgboost.py
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@ -363,24 +363,24 @@ class Booster(object):
if handle is not None:
buf = handle
dmats = c_array(ctypes.c_void_p, [])
handle = ctypes.c_void_p(xglib.XGBoosterCreate(dmats, 0))
handle = ctypes.c_void_p(xglib.XGBoosterCreate(dmats, 0))
length = ctypes.c_ulong(len(buf))
ptr = (ctypes.c_char * len(buf)).from_buffer(buf)
xglib.XGBoosterLoadModelFromBuffer(handle, ptr, length)
state['handle'] = handle
state['handle'] = handle
self.__dict__.update(state)
self.set_param({'seed': 0})
def __copy__(self):
return self.__deepcopy__()
def __deepcopy__(self):
return Booster(model_file = self.save_raw())
def copy(self):
"""
Copy the booster object
Returns
--------
a copied booster model
@ -899,7 +899,7 @@ class XGBModel(XGBModelBase):
nthread=-1, gamma=0, min_child_weight=1, max_delta_step=0, subsample=1, colsample_bytree=1,
base_score=0.5, seed=0):
if not SKLEARN_INSTALLED:
raise XGBError('sklearn needs to be installed in order to use this module')
raise XGBoostError('sklearn needs to be installed in order to use this module')
self.max_depth = max_depth
self.learning_rate = learning_rate
self.n_estimators = n_estimators
@ -937,7 +937,7 @@ class XGBModel(XGBModelBase):
booster : a xgboost booster of underlying model
"""
if self._Booster is None:
raise XGBError('need to call fit beforehand')
raise XGBoostError('need to call fit beforehand')
return self._Booster
def get_xgb_params(self):