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_grdnew377.out
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Interactive jobs timeout is 24hrs
==========================================
SLURM_JOB_ID = 377
SLURM_NODELIST = virya3
==========================================
Tue Feb 20 14:28:05 2024
+---------------------------------------------------------------------------------------+
| NVIDIA-SMI 545.23.08 Driver Version: 545.23.08 CUDA Version: 12.3 |
|-----------------------------------------+----------------------+----------------------+
| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|=========================================+======================+======================|
| 0 NVIDIA A100-SXM4-40GB Off | 00000000:81:00.0 Off | On |
| N/A 33C P0 156W / 400W | 3249MiB / 40960MiB | N/A Default |
| | | Enabled |
+-----------------------------------------+----------------------+----------------------+
+---------------------------------------------------------------------------------------+
| MIG devices: |
+------------------+--------------------------------+-----------+-----------------------+
| GPU GI CI MIG | Memory-Usage | Vol| Shared |
| ID ID Dev | BAR1-Usage | SM Unc| CE ENC DEC OFA JPG |
| | | ECC| |
|==================+================================+===========+=======================|
| 0 2 0 0 | 37MiB / 19968MiB | 42 0 | 3 0 2 0 0 |
| | 0MiB / 32767MiB | | |
+------------------+--------------------------------+-----------+-----------------------+
+---------------------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=======================================================================================|
| No running processes found |
+---------------------------------------------------------------------------------------+
Some weights of EsmModel were not initialized from the model checkpoint at facebook/esm1b_t33_650M_UR50S and are newly initialized: ['esm.pooler.dense.weight', 'esm.pooler.dense.bias']
You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.
/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:842: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 136, in __call__
score = scorer._score(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 355, in _score
return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 211, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 2299, in recall_score
_, r, _, _ = precision_recall_fscore_support(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 184, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1721, in precision_recall_fscore_support
labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1507, in _check_set_wise_labels
raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['ionchannels', 'membrane_proteins']
warnings.warn(
/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:842: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 136, in __call__
score = scorer._score(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 355, in _score
return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 211, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 2299, in recall_score
_, r, _, _ = precision_recall_fscore_support(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 184, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1721, in precision_recall_fscore_support
labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1507, in _check_set_wise_labels
raise ValueError(
ValueError: pos_label=0 is not a valid label. It should be one of ['ionchannels', 'membrane_proteins']
warnings.warn(
/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:842: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 136, in __call__
score = scorer._score(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 355, in _score
return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 211, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 2299, in recall_score
_, r, _, _ = precision_recall_fscore_support(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 184, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1721, in precision_recall_fscore_support
labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1507, in _check_set_wise_labels
raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['ionchannels', 'membrane_proteins']
warnings.warn(
/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:842: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 136, in __call__
score = scorer._score(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 355, in _score
return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 211, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 2299, in recall_score
_, r, _, _ = precision_recall_fscore_support(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 184, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1721, in precision_recall_fscore_support
labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1507, in _check_set_wise_labels
raise ValueError(
ValueError: pos_label=0 is not a valid label. It should be one of ['ionchannels', 'membrane_proteins']
warnings.warn(
/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:842: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 136, in __call__
score = scorer._score(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 355, in _score
return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 211, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 2299, in recall_score
_, r, _, _ = precision_recall_fscore_support(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 184, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1721, in precision_recall_fscore_support
labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1507, in _check_set_wise_labels
raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['ionchannels', 'membrane_proteins']
warnings.warn(
/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:842: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 136, in __call__
score = scorer._score(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 355, in _score
return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 211, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 2299, in recall_score
_, r, _, _ = precision_recall_fscore_support(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 184, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1721, in precision_recall_fscore_support
labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1507, in _check_set_wise_labels
raise ValueError(
ValueError: pos_label=0 is not a valid label. It should be one of ['ionchannels', 'membrane_proteins']
warnings.warn(
/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:842: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 136, in __call__
score = scorer._score(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 355, in _score
return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 211, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 2299, in recall_score
_, r, _, _ = precision_recall_fscore_support(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 184, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1721, in precision_recall_fscore_support
labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1507, in _check_set_wise_labels
raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['ionchannels', 'membrane_proteins']
warnings.warn(
/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:842: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 136, in __call__
score = scorer._score(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 355, in _score
return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 211, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 2299, in recall_score
_, r, _, _ = precision_recall_fscore_support(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 184, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1721, in precision_recall_fscore_support
labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1507, in _check_set_wise_labels
raise ValueError(
ValueError: pos_label=0 is not a valid label. It should be one of ['ionchannels', 'membrane_proteins']
warnings.warn(
/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:842: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 136, in __call__
score = scorer._score(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 355, in _score
return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 211, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 2299, in recall_score
_, r, _, _ = precision_recall_fscore_support(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 184, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1721, in precision_recall_fscore_support
labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1507, in _check_set_wise_labels
raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['ionchannels', 'membrane_proteins']
warnings.warn(
/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:842: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 136, in __call__
score = scorer._score(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 355, in _score
return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 211, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 2299, in recall_score
_, r, _, _ = precision_recall_fscore_support(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 184, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1721, in precision_recall_fscore_support
labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1507, in _check_set_wise_labels
raise ValueError(
ValueError: pos_label=0 is not a valid label. It should be one of ['ionchannels', 'membrane_proteins']
warnings.warn(
/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:842: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 136, in __call__
score = scorer._score(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 355, in _score
return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 211, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 2299, in recall_score
_, r, _, _ = precision_recall_fscore_support(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 184, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1721, in precision_recall_fscore_support
labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1507, in _check_set_wise_labels
raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['ionchannels', 'membrane_proteins']
warnings.warn(
/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:842: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 136, in __call__
score = scorer._score(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 355, in _score
return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 211, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 2299, in recall_score
_, r, _, _ = precision_recall_fscore_support(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 184, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1721, in precision_recall_fscore_support
labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1507, in _check_set_wise_labels
raise ValueError(
ValueError: pos_label=0 is not a valid label. It should be one of ['ionchannels', 'membrane_proteins']
warnings.warn(
/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:842: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 136, in __call__
score = scorer._score(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 355, in _score
return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 211, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 2299, in recall_score
_, r, _, _ = precision_recall_fscore_support(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 184, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1721, in precision_recall_fscore_support
labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1507, in _check_set_wise_labels
raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['ionchannels', 'membrane_proteins']
warnings.warn(
/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:842: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 136, in __call__
score = scorer._score(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 355, in _score
return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 211, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 2299, in recall_score
_, r, _, _ = precision_recall_fscore_support(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 184, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1721, in precision_recall_fscore_support
labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1507, in _check_set_wise_labels
raise ValueError(
ValueError: pos_label=0 is not a valid label. It should be one of ['ionchannels', 'membrane_proteins']
warnings.warn(
/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:842: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 136, in __call__
score = scorer._score(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 355, in _score
return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 211, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 2299, in recall_score
_, r, _, _ = precision_recall_fscore_support(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 184, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1721, in precision_recall_fscore_support
labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1507, in _check_set_wise_labels
raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['ionchannels', 'membrane_proteins']
warnings.warn(
/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:842: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 136, in __call__
score = scorer._score(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 355, in _score
return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 211, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 2299, in recall_score
_, r, _, _ = precision_recall_fscore_support(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 184, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1721, in precision_recall_fscore_support
labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1507, in _check_set_wise_labels
raise ValueError(
ValueError: pos_label=0 is not a valid label. It should be one of ['ionchannels', 'membrane_proteins']
warnings.warn(
/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:842: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 136, in __call__
score = scorer._score(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 355, in _score
return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 211, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 2299, in recall_score
_, r, _, _ = precision_recall_fscore_support(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 184, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1721, in precision_recall_fscore_support
labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1507, in _check_set_wise_labels
raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['ionchannels', 'membrane_proteins']
warnings.warn(
/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:842: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 136, in __call__
score = scorer._score(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 355, in _score
return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 211, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 2299, in recall_score
_, r, _, _ = precision_recall_fscore_support(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 184, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1721, in precision_recall_fscore_support
labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1507, in _check_set_wise_labels
raise ValueError(
ValueError: pos_label=0 is not a valid label. It should be one of ['ionchannels', 'membrane_proteins']
warnings.warn(
/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:842: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 136, in __call__
score = scorer._score(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 355, in _score
return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 211, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 2299, in recall_score
_, r, _, _ = precision_recall_fscore_support(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 184, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1721, in precision_recall_fscore_support
labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1507, in _check_set_wise_labels
raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['ionchannels', 'membrane_proteins']
warnings.warn(
/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:842: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 136, in __call__
score = scorer._score(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 355, in _score
return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 211, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 2299, in recall_score
_, r, _, _ = precision_recall_fscore_support(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 184, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1721, in precision_recall_fscore_support
labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1507, in _check_set_wise_labels
raise ValueError(
ValueError: pos_label=0 is not a valid label. It should be one of ['ionchannels', 'membrane_proteins']
warnings.warn(
/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:842: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 136, in __call__
score = scorer._score(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 355, in _score
return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 211, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 2299, in recall_score
_, r, _, _ = precision_recall_fscore_support(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 184, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1721, in precision_recall_fscore_support
labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1507, in _check_set_wise_labels
raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['ionchannels', 'membrane_proteins']
warnings.warn(
/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:842: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 136, in __call__
score = scorer._score(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 355, in _score
return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 211, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 2299, in recall_score
_, r, _, _ = precision_recall_fscore_support(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 184, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1721, in precision_recall_fscore_support
labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1507, in _check_set_wise_labels
raise ValueError(
ValueError: pos_label=0 is not a valid label. It should be one of ['ionchannels', 'membrane_proteins']
warnings.warn(
/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:842: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 136, in __call__
score = scorer._score(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 355, in _score
return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 211, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 2299, in recall_score
_, r, _, _ = precision_recall_fscore_support(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 184, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1721, in precision_recall_fscore_support
labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1507, in _check_set_wise_labels
raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['ionchannels', 'membrane_proteins']
warnings.warn(
/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:842: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 136, in __call__
score = scorer._score(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 355, in _score
return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 211, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 2299, in recall_score
_, r, _, _ = precision_recall_fscore_support(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 184, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1721, in precision_recall_fscore_support
labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1507, in _check_set_wise_labels
raise ValueError(
ValueError: pos_label=0 is not a valid label. It should be one of ['ionchannels', 'membrane_proteins']
warnings.warn(
/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:842: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 136, in __call__
score = scorer._score(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 355, in _score
return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 211, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 2299, in recall_score
_, r, _, _ = precision_recall_fscore_support(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 184, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1721, in precision_recall_fscore_support
labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1507, in _check_set_wise_labels
raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['ionchannels', 'membrane_proteins']
warnings.warn(
/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:842: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 136, in __call__
score = scorer._score(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 355, in _score
return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 211, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 2299, in recall_score
_, r, _, _ = precision_recall_fscore_support(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 184, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1721, in precision_recall_fscore_support
labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1507, in _check_set_wise_labels
raise ValueError(
ValueError: pos_label=0 is not a valid label. It should be one of ['ionchannels', 'membrane_proteins']
warnings.warn(
/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:842: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 136, in __call__
score = scorer._score(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 355, in _score
return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 211, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 2299, in recall_score
_, r, _, _ = precision_recall_fscore_support(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 184, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1721, in precision_recall_fscore_support
labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1507, in _check_set_wise_labels
raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['ionchannels', 'membrane_proteins']
warnings.warn(
/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:842: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 136, in __call__
score = scorer._score(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 355, in _score
return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 211, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 2299, in recall_score
_, r, _, _ = precision_recall_fscore_support(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 184, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1721, in precision_recall_fscore_support
labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1507, in _check_set_wise_labels
raise ValueError(
ValueError: pos_label=0 is not a valid label. It should be one of ['ionchannels', 'membrane_proteins']
warnings.warn(
/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:842: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 136, in __call__
score = scorer._score(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 355, in _score
return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 211, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 2299, in recall_score
_, r, _, _ = precision_recall_fscore_support(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 184, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1721, in precision_recall_fscore_support
labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1507, in _check_set_wise_labels
raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['ionchannels', 'membrane_proteins']
warnings.warn(
/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:842: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 136, in __call__
score = scorer._score(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 355, in _score
return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 211, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 2299, in recall_score
_, r, _, _ = precision_recall_fscore_support(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 184, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1721, in precision_recall_fscore_support
labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1507, in _check_set_wise_labels
raise ValueError(
ValueError: pos_label=0 is not a valid label. It should be one of ['ionchannels', 'membrane_proteins']
warnings.warn(
/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:842: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 136, in __call__
score = scorer._score(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 355, in _score
return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 211, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 2299, in recall_score
_, r, _, _ = precision_recall_fscore_support(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 184, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1721, in precision_recall_fscore_support
labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1507, in _check_set_wise_labels
raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['ionchannels', 'membrane_proteins']
warnings.warn(
/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:842: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 136, in __call__
score = scorer._score(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 355, in _score
return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 211, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 2299, in recall_score
_, r, _, _ = precision_recall_fscore_support(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 184, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1721, in precision_recall_fscore_support
labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1507, in _check_set_wise_labels
raise ValueError(
ValueError: pos_label=0 is not a valid label. It should be one of ['ionchannels', 'membrane_proteins']
warnings.warn(
/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:842: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 136, in __call__
score = scorer._score(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 355, in _score
return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 211, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 2299, in recall_score
_, r, _, _ = precision_recall_fscore_support(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 184, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1721, in precision_recall_fscore_support
labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1507, in _check_set_wise_labels
raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['ionchannels', 'membrane_proteins']
warnings.warn(
/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:842: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 136, in __call__
score = scorer._score(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 355, in _score
return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 211, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 2299, in recall_score
_, r, _, _ = precision_recall_fscore_support(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 184, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1721, in precision_recall_fscore_support
labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1507, in _check_set_wise_labels
raise ValueError(
ValueError: pos_label=0 is not a valid label. It should be one of ['ionchannels', 'membrane_proteins']
warnings.warn(
/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:842: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 136, in __call__
score = scorer._score(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 355, in _score
return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 211, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 2299, in recall_score
_, r, _, _ = precision_recall_fscore_support(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 184, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1721, in precision_recall_fscore_support
labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1507, in _check_set_wise_labels
raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['ionchannels', 'membrane_proteins']
warnings.warn(
/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:842: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 136, in __call__
score = scorer._score(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 355, in _score
return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 211, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 2299, in recall_score
_, r, _, _ = precision_recall_fscore_support(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 184, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1721, in precision_recall_fscore_support
labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1507, in _check_set_wise_labels
raise ValueError(
ValueError: pos_label=0 is not a valid label. It should be one of ['ionchannels', 'membrane_proteins']
warnings.warn(
/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:842: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 136, in __call__
score = scorer._score(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 355, in _score
return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 211, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 2299, in recall_score
_, r, _, _ = precision_recall_fscore_support(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 184, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1721, in precision_recall_fscore_support
labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1507, in _check_set_wise_labels
raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['ionchannels', 'membrane_proteins']
warnings.warn(
/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:842: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 136, in __call__
score = scorer._score(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 355, in _score
return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 211, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 2299, in recall_score
_, r, _, _ = precision_recall_fscore_support(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 184, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1721, in precision_recall_fscore_support
labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1507, in _check_set_wise_labels
raise ValueError(
ValueError: pos_label=0 is not a valid label. It should be one of ['ionchannels', 'membrane_proteins']
warnings.warn(
/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:842: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 136, in __call__
score = scorer._score(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 355, in _score
return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 211, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 2299, in recall_score
_, r, _, _ = precision_recall_fscore_support(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 184, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1721, in precision_recall_fscore_support
labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1507, in _check_set_wise_labels
raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['ionchannels', 'membrane_proteins']
warnings.warn(
/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:842: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 136, in __call__
score = scorer._score(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 355, in _score
return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 211, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 2299, in recall_score
_, r, _, _ = precision_recall_fscore_support(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 184, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1721, in precision_recall_fscore_support
labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1507, in _check_set_wise_labels
raise ValueError(
ValueError: pos_label=0 is not a valid label. It should be one of ['ionchannels', 'membrane_proteins']
warnings.warn(
/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:842: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 136, in __call__
score = scorer._score(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 355, in _score
return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 211, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 2299, in recall_score
_, r, _, _ = precision_recall_fscore_support(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 184, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1721, in precision_recall_fscore_support
labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1507, in _check_set_wise_labels
raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['ionchannels', 'membrane_proteins']
warnings.warn(
/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:842: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 136, in __call__
score = scorer._score(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 355, in _score
return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 211, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 2299, in recall_score
_, r, _, _ = precision_recall_fscore_support(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 184, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1721, in precision_recall_fscore_support
labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1507, in _check_set_wise_labels
raise ValueError(
ValueError: pos_label=0 is not a valid label. It should be one of ['ionchannels', 'membrane_proteins']
warnings.warn(
/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:842: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 136, in __call__
score = scorer._score(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 355, in _score
return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 211, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 2299, in recall_score
_, r, _, _ = precision_recall_fscore_support(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 184, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1721, in precision_recall_fscore_support
labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1507, in _check_set_wise_labels
raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['ionchannels', 'membrane_proteins']
warnings.warn(
/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:842: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 136, in __call__
score = scorer._score(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 355, in _score
return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 211, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 2299, in recall_score
_, r, _, _ = precision_recall_fscore_support(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 184, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1721, in precision_recall_fscore_support
labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1507, in _check_set_wise_labels
raise ValueError(
ValueError: pos_label=0 is not a valid label. It should be one of ['ionchannels', 'membrane_proteins']
warnings.warn(
/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:842: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 136, in __call__
score = scorer._score(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 355, in _score
return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 211, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 2299, in recall_score
_, r, _, _ = precision_recall_fscore_support(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 184, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1721, in precision_recall_fscore_support
labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1507, in _check_set_wise_labels
raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['ionchannels', 'membrane_proteins']
warnings.warn(
/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:842: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 136, in __call__
score = scorer._score(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 355, in _score
return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 211, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 2299, in recall_score
_, r, _, _ = precision_recall_fscore_support(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 184, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1721, in precision_recall_fscore_support
labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1507, in _check_set_wise_labels
raise ValueError(
ValueError: pos_label=0 is not a valid label. It should be one of ['ionchannels', 'membrane_proteins']
warnings.warn(
/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:842: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 136, in __call__
score = scorer._score(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 355, in _score
return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 211, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 2299, in recall_score
_, r, _, _ = precision_recall_fscore_support(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 184, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1721, in precision_recall_fscore_support
labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1507, in _check_set_wise_labels
raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['ionchannels', 'membrane_proteins']
warnings.warn(
/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:842: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 136, in __call__
score = scorer._score(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 355, in _score
return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 211, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 2299, in recall_score
_, r, _, _ = precision_recall_fscore_support(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 184, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1721, in precision_recall_fscore_support
labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1507, in _check_set_wise_labels
raise ValueError(
ValueError: pos_label=0 is not a valid label. It should be one of ['ionchannels', 'membrane_proteins']
warnings.warn(
/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:842: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 136, in __call__
score = scorer._score(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 355, in _score
return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 211, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 2299, in recall_score
_, r, _, _ = precision_recall_fscore_support(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 184, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1721, in precision_recall_fscore_support
labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1507, in _check_set_wise_labels
raise ValueError(
ValueError: pos_label=1 is not a valid label. It should be one of ['ionchannels', 'membrane_proteins']
warnings.warn(
/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:842: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 136, in __call__
score = scorer._score(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 355, in _score
return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 211, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 2299, in recall_score
_, r, _, _ = precision_recall_fscore_support(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 184, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1721, in precision_recall_fscore_support
labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 1507, in _check_set_wise_labels
raise ValueError(
ValueError: pos_label=0 is not a valid label. It should be one of ['ionchannels', 'membrane_proteins']
warnings.warn(
/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:842: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 136, in __call__
score = scorer._score(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_scorer.py", line 355, in _score
return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 211, in wrapper
return func(*args, **kwargs)
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/metrics/_classification.py", line 2299, in recall_score
_, r, _, _ = precision_recall_fscore_support(
File "/home/h_ghazik/.conda/envs/py39/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 184, in wrapper
return func(*args, **kwargs)