test sklearn_estimator_attributes 1.0.8.4

[jennaj]

/run-tool-test tool_id=toolshed.g2.bx.psu.edu/repos/bgruening/sklearn_estimator_attributes/sklearn_estimator_attributes/1.0.8.4

[jennaj]

/run-tool-test tool_id=toolshed.g2.bx.psu.edu/repos/bgruening/sklearn_estimator_attributes/sklearn_estimator_attributes/1.0.8.4

[mvdbeek]

Results (powered by Planemo)

Summary

State	Count
Total	9
Passed	9
Error	0
Failure	0
Skipped	0

Passed s

• ✅ toolshed.g2.bx.psu.edu/repos/bgruening/sklearn_estimator_attributes/sklearn_estimator_attributes (Test tool test #1)

  Command Line:

  Exit Code:

  • 0

  Standard Error:

  • /usr/local/lib/python3.6/site-packages/sklearn/externals/joblib/__init__.py:15: DeprecationWarning: sklearn.externals.joblib is deprecated in 0.21 and will be removed in 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib. If this warning is raised when loading pickled models, you may need to re-serialize those models with scikit-learn 0.21+.
      warnings.warn(msg, category=DeprecationWarning)
    Using TensorFlow backend.
    

  Traceback:

  Job Parameters:

  • Job parameter	Parameter value
    attribute_type	"best_score_"
    chromInfo	"/cvmfs/data.galaxyproject.org/managed/len/ucsc/?.len"
    dbkey	"?"
    __input_ext	"input"

• ✅ toolshed.g2.bx.psu.edu/repos/bgruening/sklearn_estimator_attributes/sklearn_estimator_attributes (Test test against test.galaxyproject.org #2)

  Command Line:

  Exit Code:

  • 0

  Standard Error:

  • /usr/local/lib/python3.6/site-packages/sklearn/externals/joblib/__init__.py:15: DeprecationWarning: sklearn.externals.joblib is deprecated in 0.21 and will be removed in 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib. If this warning is raised when loading pickled models, you may need to re-serialize those models with scikit-learn 0.21+.
      warnings.warn(msg, category=DeprecationWarning)
    Using TensorFlow backend.
    

  Traceback:

  Job Parameters:

  • Job parameter	Parameter value
    attribute_type	"best_params_"
    chromInfo	"/cvmfs/data.galaxyproject.org/managed/len/ucsc/?.len"
    dbkey	"?"
    __input_ext	"input"

• ✅ toolshed.g2.bx.psu.edu/repos/bgruening/sklearn_estimator_attributes/sklearn_estimator_attributes (Test Test Prokka 1.14.6+galaxy1 #3)

  Command Line:

  Exit Code:

  • 0

  Standard Error:

  • /usr/local/lib/python3.6/site-packages/sklearn/externals/joblib/__init__.py:15: DeprecationWarning: sklearn.externals.joblib is deprecated in 0.21 and will be removed in 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib. If this warning is raised when loading pickled models, you may need to re-serialize those models with scikit-learn 0.21+.
      warnings.warn(msg, category=DeprecationWarning)
    Using TensorFlow backend.
    

  Standard Output:

  • Pipeline(memory=None,
             steps=[('preprocessing_1',
                     SelectKBest(k=10,
                                 score_func=<function f_regression at 0x2b4eb4fb5f28>)),
                    ('estimator',
                     XGBRegressor(base_score=0.5, booster='gbtree',
                                  colsample_bylevel=1, colsample_bytree=1, gamma=0,
                                  learning_rate=0.1, max_delta_step=0, max_depth=3,
                                  min_child_weight=1, missing=nan, n_estimators=100,
                                  n_jobs=1, nthread=None, objective='reg:linear',
                                  random_state=10, reg_alpha=0, reg_lambda=1,
                                  scale_pos_weight=1, seed=None, silent=True,
                                  subsample=1))],
             verbose=None)
    

  Traceback:

  Job Parameters:

  • Job parameter	Parameter value
    attribute_type	"best_estimator_"
    chromInfo	"/cvmfs/data.galaxyproject.org/managed/len/ucsc/?.len"
    dbkey	"?"
    __input_ext	"input"

• ✅ toolshed.g2.bx.psu.edu/repos/bgruening/sklearn_estimator_attributes/sklearn_estimator_attributes (Test Test roary 3.13.0+galaxy2 #4)

  Command Line:

  Exit Code:

  • 0

  Standard Error:

  • /usr/local/lib/python3.6/site-packages/sklearn/externals/joblib/__init__.py:15: DeprecationWarning: sklearn.externals.joblib is deprecated in 0.21 and will be removed in 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib. If this warning is raised when loading pickled models, you may need to re-serialize those models with scikit-learn 0.21+.
      warnings.warn(msg, category=DeprecationWarning)
    Using TensorFlow backend.
    

  Standard Output:

  • XGBRegressor(base_score=0.5, booster='gbtree', colsample_bylevel=1,
                 colsample_bytree=1, gamma=0, learning_rate=0.1, max_delta_step=0,
                 max_depth=3, min_child_weight=1, missing=nan, n_estimators=100,
                 n_jobs=1, nthread=None, objective='reg:linear', random_state=10,
                 reg_alpha=0, reg_lambda=1, scale_pos_weight=1, seed=None,
                 silent=True, subsample=1)
    

  Traceback:

  Job Parameters:

  • Job parameter	Parameter value
    attribute_type	"final_estimator"
    chromInfo	"/cvmfs/data.galaxyproject.org/managed/len/ucsc/?.len"
    dbkey	"?"
    __input_ext	"input"

• ✅ toolshed.g2.bx.psu.edu/repos/bgruening/sklearn_estimator_attributes/sklearn_estimator_attributes (Test Test toolshed.g2.bx.psu.edu/repos/lparsons/cutadapt/cutadapt/3.5+galaxy1 #5)

  Command Line:

  Exit Code:

  • 0

  Standard Error:

  • /usr/local/lib/python3.6/site-packages/sklearn/externals/joblib/__init__.py:15: DeprecationWarning: sklearn.externals.joblib is deprecated in 0.21 and will be removed in 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib. If this warning is raised when loading pickled models, you may need to re-serialize those models with scikit-learn 0.21+.
      warnings.warn(msg, category=DeprecationWarning)
    Using TensorFlow backend.
    

  Traceback:

  Job Parameters:

  • Job parameter	Parameter value
    attribute_type	"named_steps"
    chromInfo	"/cvmfs/data.galaxyproject.org/managed/len/ucsc/?.len"
    dbkey	"?"
    __input_ext	"input"

• ✅ toolshed.g2.bx.psu.edu/repos/bgruening/sklearn_estimator_attributes/sklearn_estimator_attributes (Test Test trinotate 3.2.2+galaxy0 #6)

  Command Line:

  Exit Code:

  • 0

  Standard Error:

  • /usr/local/lib/python3.6/site-packages/sklearn/externals/joblib/__init__.py:15: DeprecationWarning: sklearn.externals.joblib is deprecated in 0.21 and will be removed in 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib. If this warning is raised when loading pickled models, you may need to re-serialize those models with scikit-learn 0.21+.
      warnings.warn(msg, category=DeprecationWarning)
    Using TensorFlow backend.
    

  Traceback:

  Job Parameters:

  • Job parameter	Parameter value
    attribute_type	"feature_importances_"
    chromInfo	"/cvmfs/data.galaxyproject.org/managed/len/ucsc/?.len"
    dbkey	"?"
    __input_ext	"input"

• ✅ toolshed.g2.bx.psu.edu/repos/bgruening/sklearn_estimator_attributes/sklearn_estimator_attributes (Test Test pangolin 3.1.17+galaxy1 #7)

  Command Line:

  Exit Code:

  • 0

  Standard Error:

  • /usr/local/lib/python3.6/site-packages/sklearn/externals/joblib/__init__.py:15: DeprecationWarning: sklearn.externals.joblib is deprecated in 0.21 and will be removed in 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib. If this warning is raised when loading pickled models, you may need to re-serialize those models with scikit-learn 0.21+.
      warnings.warn(msg, category=DeprecationWarning)
    Using TensorFlow backend.
    

  Traceback:

  Job Parameters:

  • Job parameter	Parameter value
    attribute_type	"ranking_"
    chromInfo	"/cvmfs/data.galaxyproject.org/managed/len/ucsc/?.len"
    dbkey	"?"
    __input_ext	"input"

• ✅ toolshed.g2.bx.psu.edu/repos/bgruening/sklearn_estimator_attributes/sklearn_estimator_attributes (Test Test SEACR 1.3+galaxy1 on usegalaxy.org #8)

  Command Line:

  Exit Code:

  • 0

  Standard Error:

  • /usr/local/lib/python3.6/site-packages/sklearn/externals/joblib/__init__.py:15: DeprecationWarning: sklearn.externals.joblib is deprecated in 0.21 and will be removed in 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib. If this warning is raised when loading pickled models, you may need to re-serialize those models with scikit-learn 0.21+.
      warnings.warn(msg, category=DeprecationWarning)
    Using TensorFlow backend.
    

  Traceback:

  Job Parameters:

  • Job parameter	Parameter value
    attribute_type	"get_params"
    chromInfo	"/cvmfs/data.galaxyproject.org/managed/len/ucsc/?.len"
    dbkey	"?"
    __input_ext	"input"

• ✅ toolshed.g2.bx.psu.edu/repos/bgruening/sklearn_estimator_attributes/sklearn_estimator_attributes (Test Test gffread 2.2.1.3+galaxy0 #9)

  Command Line:

  Exit Code:

  • 0

  Standard Error:

  • /usr/local/lib/python3.6/site-packages/sklearn/externals/joblib/__init__.py:15: DeprecationWarning: sklearn.externals.joblib is deprecated in 0.21 and will be removed in 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib. If this warning is raised when loading pickled models, you may need to re-serialize those models with scikit-learn 0.21+.
      warnings.warn(msg, category=DeprecationWarning)
    Using TensorFlow backend.
    WARNING:tensorflow:From /usr/local/lib/python3.6/site-packages/tensorflow_core/python/ops/resource_variable_ops.py:1630: calling BaseResourceVariable.__init__ (from tensorflow.python.ops.resource_variable_ops) with constraint is deprecated and will be removed in a future version.
    Instructions for updating:
    If using Keras pass *_constraint arguments to layers.
    2023-06-16 19:30:18.716288: I tensorflow/core/platform/cpu_feature_guard.cc:145] This TensorFlow binary is optimized with Intel(R) MKL-DNN to use the following CPU instructions in performance critical operations:  SSE4.1 SSE4.2 AVX
    To enable them in non-MKL-DNN operations, rebuild TensorFlow with the appropriate compiler flags.
    2023-06-16 19:30:18.807991: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2199990000 Hz
    2023-06-16 19:30:18.808181: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x562510333a40 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
    2023-06-16 19:30:18.808208: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version
    OMP: Info #212: KMP_AFFINITY: decoding x2APIC ids.
    OMP: Info #210: KMP_AFFINITY: Affinity capable, using global cpuid leaf 11 info
    OMP: Info #154: KMP_AFFINITY: Initial OS proc set respected: 20
    OMP: Info #156: KMP_AFFINITY: 1 available OS procs
    OMP: Info #157: KMP_AFFINITY: Uniform topology
    OMP: Info #159: KMP_AFFINITY: 1 packages x 1 cores/pkg x 1 threads/core (1 total cores)
    OMP: Info #214: KMP_AFFINITY: OS proc to physical thread map:
    OMP: Info #171: KMP_AFFINITY: OS proc 20 maps to package 0 
    OMP: Info #250: KMP_AFFINITY: pid 18133 tid 18133 thread 0 bound to OS proc set 20
    2023-06-16 19:30:18.809743: I tensorflow/core/common_runtime/process_util.cc:115] Creating new thread pool with default inter op setting: 2. Tune using inter_op_parallelism_threads for best performance.
    WARNING:tensorflow:From /usr/local/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:422: The name tf.global_variables is deprecated. Please use tf.compat.v1.global_variables instead.
    
    

  Traceback:

  Job Parameters:

  • Job parameter	Parameter value
    attribute_type	"save_weights"
    chromInfo	"/cvmfs/data.galaxyproject.org/managed/len/ucsc/?.len"
    dbkey	"?"
    __input_ext	"input"