aws / aws/amazon-sagemaker-examples
xgboost_abalone_dist_script_mode.ipynb failed CI
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- Jupyter Notebook
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Description
Link to the notebook:
https://github.com/aws/amazon-sagemaker-examples/blob/master/introduction_to_amazon_algorithms/xgboost_abalone/xgboost_abalone_dist_script_mode.ipynb
Error:
---------------------------------------------------------------------------
Exception encountered at "In [7]":
---------------------------------------------------------------------------
UnexpectedStatusException Traceback (most recent call last)
in
----> 1 xgb_script_mode_estimator.fit({'train': train_input, 'validation': validation_input})
/opt/conda/lib/python3.7/site-packages/sagemaker/estimator.py in fit(self, inputs, wait, logs, job_name, experiment_config)
670 self.jobs.append(self.latest_training_job)
671 if wait:
--> 672 self.latest_training_job.wait(logs=logs)
673
674 def _compilation_job_name(self):
/opt/conda/lib/python3.7/site-packages/sagemaker/estimator.py in wait(self, logs)
1601 # If logs are req
[...]
Command "/miniconda3/bin/python3 -m abalone --eta 0.2 --gamma 4 --max_depth 5 --min_child_weight 6 --num_round 50 --objective reg:squarederror --subsample 0.7 --verbosity 2"
Contributor guide
Research direction
Open introduction_to_amazon_algorithms/xgboost_abalone/xgboost_abalone_dist_script_mode.ipynb and start by running the training call in cell In [7]. Inspect the reported UnexpectedStatusException and the training command output; done means the notebook's distributed script-mode training completes successfully and the CI run passes.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, jupyter-notebook
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100