aws / aws/amazon-sagemaker-examples
sentiment-analysis-tf-distributed-training-bringyourownscript.ipynb failed CI
- Dominant language
- Jupyter Notebook
- Stars
- 11k
- Forks
- 7k
- Avg merge
- 8h 29m
- Merged PRs (30d)
- 8
Description
Link to the notebook:
https://github.com/aws/amazon-sagemaker-examples/blob/master/sagemaker-debugger/tensorflow_nlp_sentiment_analysis/sentiment-analysis-tf-distributed-training-bringyourownscript.ipynb
Error:
---------------------------------------------------------------------------
Exception encountered at "In [23]":
---------------------------------------------------------------------------
ModuleNotFoundError Traceback (most recent call last)
in
----> 1 from smdebug.profiler.analysis.notebook_utils.metrics_histogram import MetricsHistogram
2
3 system_metrics_reader.refresh_event_file_list()
4 metrics_histogram=MetricsHistogram(
5 system_metrics_reader
/usr/local/lib/python3.7/site-packages/smdebug/profiler/analysis/notebook_utils/__init__.py in
1 # Local
----> 2 from .metrics_histogram import MetricsHistogram
3 from .step_histogram import StepHistogram
4 from .training_job import TrainingJob
/usr/local/lib/python3.7/site-packages/smdebug/profiler/analysis/notebook_utils/metrics_histogram.py in
4 # Third Party
5 impor
[...]
ModuleNotFoundError: No module named 'bokeh'
Contributor guide
Research direction
Open the linked notebook and inspect cell 23, where the smdebug profiler analysis import fails because the bokeh module is missing. Run the notebook in the CI environment and verify that the sentiment-analysis-tf-distributed-training-bringyourownscript.ipynb workflow completes without the ModuleNotFoundError.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook, python
- Domain
- machine-learning, testing
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100