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When I try to train LightGMB with custom eval metric accuracy
I got error:
'score' Traceback (most recent call last):
File "/home/piotr/sandbox/tps-may/venv/lib/python3.11/site-packages/supervised/tuner/mljar_tuner.py", line 225, in generate_params
return self.get_kmeans_features_params(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/piotr/sandbox/tps-may/venv/lib/python3.11/site-packages/supervised/tuner/mljar_tuner.py", line 1188, in get_kmeans_features_params
df_models, algorithms = self.df_models_algorithms(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/piotr/sandbox/tps-may/venv/lib/python3.11/site-packages/supervised/tuner/mljar_tuner.py", line 1113, in df_models_algorithms
df_models.sort_values(by="score", ascending=True, inplace=True)
File "/home/piotr/sandbox/tps-may/venv/lib/python3.11/site-packages/pandas/core/frame.py", line 7189, in sort_values
k = self._get_label_or_level_values(by[0], axis=axis)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/piotr/sandbox/tps-may/venv/lib/python3.11/site-packages/pandas/core/generic.py", line 1911, in _get_label_or_level_values
raise KeyError(key)
KeyError: 'score'
and
cannot reshape array of size 206598 into shape (22955,3)
Traceback (most recent call last):
File "/home/piotr/sandbox/tps-may/venv/lib/python3.11/site-packages/supervised/base_automl.py", line 1178, in _fit
trained = self.train_model(params)
^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/piotr/sandbox/tps-may/venv/lib/python3.11/site-packages/supervised/base_automl.py", line 384, in train_model
mf.train(results_path, model_subpath)
File "/home/piotr/sandbox/tps-may/venv/lib/python3.11/site-packages/supervised/model_framework.py", line 249, in train
learner.fit(
File "/home/piotr/sandbox/tps-may/venv/lib/python3.11/site-packages/supervised/algorithms/lightgbm.py", line 236, in fit
self.model = lgb.train(
^^^^^^^^^^
File "/home/piotr/sandbox/tps-may/venv/lib/python3.11/site-packages/lightgbm/engine.py", line 282, in train
evaluation_result_list.extend(booster.eval_train(feval))
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/piotr/sandbox/tps-may/venv/lib/python3.11/site-packages/lightgbm/basic.py", line 4125, in eval_train
return self.__inner_eval(self._train_data_name, 0, feval)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/piotr/sandbox/tps-may/venv/lib/python3.11/site-packages/lightgbm/basic.py", line 4868, in __inner_eval
feval_ret = eval_function(self.__inner_predict(data_idx), cur_data)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/piotr/sandbox/tps-may/venv/lib/python3.11/site-packages/supervised/utils/metric.py", line 232, in lightgbm_eval_metric_accuracy
preds = np.reshape(preds, (rows, cols), order="F")
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/piotr/sandbox/tps-may/venv/lib/python3.11/site-packages/numpy/core/fromnumeric.py", line 285, in reshape
return _wrapfunc(a, 'reshape', newshape, order=order)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/piotr/sandbox/tps-may/venv/lib/python3.11/site-packages/numpy/core/fromnumeric.py", line 59, in _wrapfunc
return bound(*args, **kwds)
^^^^^^^^^^^^^^^^^^^^
ValueError: cannot reshape array of size 206598 into shape (22955,3)
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