Closed stevexxs closed 5 years ago
def myModel(train_X, test_X, train_y, test_y, params):
has to be
def myModel(train_X, train_y, test_X, test_y, params):
Feel free to open a new issue if anything.
Thanks, it works, but another error happened when running predict function.
model= talos.Predict(t)
yhat = model.predict(test_X)
the error is
---------------------------------------------------------------------------
KeyError Traceback (most recent call last)
~/anaconda3/envs/python36/lib/python3.6/site-packages/pandas/core/indexes/base.py in get_loc(self, key, method, tolerance)
2524 try:
-> 2525 return self._engine.get_loc(key)
2526 except KeyError:
pandas/_libs/index.pyx in pandas._libs.index.IndexEngine.get_loc()
pandas/_libs/index.pyx in pandas._libs.index.IndexEngine.get_loc()
pandas/_libs/hashtable_class_helper.pxi in pandas._libs.hashtable.PyObjectHashTable.get_item()
pandas/_libs/hashtable_class_helper.pxi in pandas._libs.hashtable.PyObjectHashTable.get_item()
KeyError: 'val_acc'
During handling of the above exception, another exception occurred:
KeyError Traceback (most recent call last)
<ipython-input-29-7f786a3b5650> in <module>
1 # make a prediction
----> 2 yhat = model.predict(test_X)
3 print('yhat.shape', yhat.shape, yhat[0:5, :])
4 test_X_reshape = test_X.reshape((test_X.shape[0], test_X.shape[2]))
5 print(test_X_reshape.shape, test_X_reshape[0:5, -7:])
~/anaconda3/envs/python36/lib/python3.6/site-packages/talos/commands/predict.py in predict(self, x, model_id, metric, asc)
25
26 if model_id is None:
---> 27 model_id = best_model(self.scan_object, metric, asc)
28
29 model = activate_model(self.scan_object, model_id)
~/anaconda3/envs/python36/lib/python3.6/site-packages/talos/utils/best_model.py in best_model(self, metric, asc)
9 NOTE: for loss 'asc' should be True'''
10
---> 11 best = self.data.sort_values(metric, ascending=asc).iloc[0].name
12
13 return best
~/anaconda3/envs/python36/lib/python3.6/site-packages/pandas/core/frame.py in sort_values(self, by, axis, ascending, inplace, kind, na_position)
3617
3618 by = by[0]
-> 3619 k = self.xs(by, axis=other_axis).values
3620 if k.ndim == 2:
3621
~/anaconda3/envs/python36/lib/python3.6/site-packages/pandas/core/generic.py in xs(self, key, axis, level, drop_level)
2333
2334 if axis == 1:
-> 2335 return self[key]
2336
2337 self._consolidate_inplace()
~/anaconda3/envs/python36/lib/python3.6/site-packages/pandas/core/frame.py in __getitem__(self, key)
2137 return self._getitem_multilevel(key)
2138 else:
-> 2139 return self._getitem_column(key)
2140
2141 def _getitem_column(self, key):
~/anaconda3/envs/python36/lib/python3.6/site-packages/pandas/core/frame.py in _getitem_column(self, key)
2144 # get column
2145 if self.columns.is_unique:
-> 2146 return self._get_item_cache(key)
2147
2148 # duplicate columns & possible reduce dimensionality
~/anaconda3/envs/python36/lib/python3.6/site-packages/pandas/core/generic.py in _get_item_cache(self, item)
1840 res = cache.get(item)
1841 if res is None:
-> 1842 values = self._data.get(item)
1843 res = self._box_item_values(item, values)
1844 cache[item] = res
~/anaconda3/envs/python36/lib/python3.6/site-packages/pandas/core/internals.py in get(self, item, fastpath)
3841
3842 if not isna(item):
-> 3843 loc = self.items.get_loc(item)
3844 else:
3845 indexer = np.arange(len(self.items))[isna(self.items)]
~/anaconda3/envs/python36/lib/python3.6/site-packages/pandas/core/indexes/base.py in get_loc(self, key, method, tolerance)
2525 return self._engine.get_loc(key)
2526 except KeyError:
-> 2527 return self._engine.get_loc(self._maybe_cast_indexer(key))
2528
2529 indexer = self.get_indexer([key], method=method, tolerance=tolerance)
pandas/_libs/index.pyx in pandas._libs.index.IndexEngine.get_loc()
pandas/_libs/index.pyx in pandas._libs.index.IndexEngine.get_loc()
pandas/_libs/hashtable_class_helper.pxi in pandas._libs.hashtable.PyObjectHashTable.get_item()
pandas/_libs/hashtable_class_helper.pxi in pandas._libs.hashtable.PyObjectHashTable.get_item()
KeyError: 'val_acc'
@stevexxs Try 'val_accuracy' in place of 'val_acc'
code as below works without talos
but when using talos, ValueError happened, the modification is as below.
the error message is,
is there anyone know the reason ?
Thanks !