Comments (3)
@rorymcgrath can you take a look whether this has not introduced a regression in 9a547b7a28f877c4b2ea5b5cb0a60a3e4386db71
?
Sphinx logs of the first reported failure (March 8th)
[rtd-command-info] start-time: 2019-03-08T15:18:41.597007Z, end-time: 2019-03-08T15:18:42.128740Z, duration: 0, exit-code: 2
python /home/docs/checkouts/readthedocs.org/user_builds/accenture-labs-ampligraph/envs/latest/bin/sphinx-build -T -E -b readthedocs -d _build/doctrees-readthedocs -D language=en . _build/html
Running Sphinx v1.7.9
Traceback (most recent call last):
File "/home/docs/checkouts/readthedocs.org/user_builds/accenture-labs-ampligraph/envs/latest/lib/python3.7/site-packages/sphinx/config.py", line 161, in __init__
execfile_(filename, config)
File "/home/docs/checkouts/readthedocs.org/user_builds/accenture-labs-ampligraph/envs/latest/lib/python3.7/site-packages/sphinx/util/pycompat.py", line 150, in execfile_
exec_(code, _globals)
File "conf.py", line 26, in <module>
import ampligraph
File "/home/docs/checkouts/readthedocs.org/user_builds/accenture-labs-ampligraph/envs/latest/lib/python3.7/site-packages/ampligraph/__init__.py", line 8, in <module>
logging.config.fileConfig(fname=os.path.join(os.path.abspath(os.path.dirname(__file__)),'logger.conf'), disable_existing_loggers=False)
File "/home/docs/.pyenv/versions/3.7.1/lib/python3.7/logging/config.py", line 71, in fileConfig
formatters = _create_formatters(cp)
File "/home/docs/.pyenv/versions/3.7.1/lib/python3.7/logging/config.py", line 104, in _create_formatters
flist = cp["formatters"]["keys"]
File "/home/docs/.pyenv/versions/3.7.1/lib/python3.7/configparser.py", line 958, in __getitem__
raise KeyError(key)
KeyError: 'formatters'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/docs/checkouts/readthedocs.org/user_builds/accenture-labs-ampligraph/envs/latest/lib/python3.7/site-packages/sphinx/cmdline.py", line 303, in main
args.warningiserror, args.tags, args.verbosity, args.jobs)
File "/home/docs/checkouts/readthedocs.org/user_builds/accenture-labs-ampligraph/envs/latest/lib/python3.7/site-packages/sphinx/application.py", line 163, in __init__
confoverrides or {}, self.tags)
File "/home/docs/checkouts/readthedocs.org/user_builds/accenture-labs-ampligraph/envs/latest/lib/python3.7/site-packages/sphinx/config.py", line 167, in __init__
raise ConfigError(CONFIG_ERROR % traceback.format_exc())
sphinx.errors.ConfigError: There is a programable error in your configuration file:
Traceback (most recent call last):
File "/home/docs/checkouts/readthedocs.org/user_builds/accenture-labs-ampligraph/envs/latest/lib/python3.7/site-packages/sphinx/config.py", line 161, in __init__
execfile_(filename, config)
File "/home/docs/checkouts/readthedocs.org/user_builds/accenture-labs-ampligraph/envs/latest/lib/python3.7/site-packages/sphinx/util/pycompat.py", line 150, in execfile_
exec_(code, _globals)
File "conf.py", line 26, in <module>
import ampligraph
File "/home/docs/checkouts/readthedocs.org/user_builds/accenture-labs-ampligraph/envs/latest/lib/python3.7/site-packages/ampligraph/__init__.py", line 8, in <module>
logging.config.fileConfig(fname=os.path.join(os.path.abspath(os.path.dirname(__file__)),'logger.conf'), disable_existing_loggers=False)
File "/home/docs/.pyenv/versions/3.7.1/lib/python3.7/logging/config.py", line 71, in fileConfig
formatters = _create_formatters(cp)
File "/home/docs/.pyenv/versions/3.7.1/lib/python3.7/logging/config.py", line 104, in _create_formatters
flist = cp["formatters"]["keys"]
File "/home/docs/.pyenv/versions/3.7.1/lib/python3.7/configparser.py", line 958, in __getitem__
raise KeyError(key)
KeyError: 'formatters'
Configuration error:
There is a programable error in your configuration file:
Traceback (most recent call last):
File "/home/docs/checkouts/readthedocs.org/user_builds/accenture-labs-ampligraph/envs/latest/lib/python3.7/site-packages/sphinx/config.py", line 161, in __init__
execfile_(filename, config)
File "/home/docs/checkouts/readthedocs.org/user_builds/accenture-labs-ampligraph/envs/latest/lib/python3.7/site-packages/sphinx/util/pycompat.py", line 150, in execfile_
exec_(code, _globals)
File "conf.py", line 26, in <module>
import ampligraph
File "/home/docs/checkouts/readthedocs.org/user_builds/accenture-labs-ampligraph/envs/latest/lib/python3.7/site-packages/ampligraph/__init__.py", line 8, in <module>
logging.config.fileConfig(fname=os.path.join(os.path.abspath(os.path.dirname(__file__)),'logger.conf'), disable_existing_loggers=False)
File "/home/docs/.pyenv/versions/3.7.1/lib/python3.7/logging/config.py", line 71, in fileConfig
formatters = _create_formatters(cp)
File "/home/docs/.pyenv/versions/3.7.1/lib/python3.7/logging/config.py", line 104, in _create_formatters
flist = cp["formatters"]["keys"]
File "/home/docs/.pyenv/versions/3.7.1/lib/python3.7/configparser.py", line 958, in __getitem__
raise KeyError(key)
KeyError: 'formatters'
from ampligraph.
Bug report above have been moved to separate issue. #38
from ampligraph.
Issue has been subdivide into it's smaller components. Issues is now covered by #39 #40 #41
from ampligraph.
Related Issues (20)
- Early stopping with numeric edge values HOT 2
- Implementations of more models? HOT 4
- ValueError: `generator` yielded an element of shape (3,) where an element of shape (?, 3) was expected. HOT 1
- Is query_topn computes as same as evaluate_performance HOT 1
- A spelling mistake in `ampligraph/latent_features/models/EmbeddingModel.py` or documentation causes the training model different the documentation's
- Predict Head or Tail candidates using GraphSAGE model
- 'ConvKB' object has no attribute 'corr_batch_size' HOT 1
- load_from_ntriples() doesn't work as expected HOT 1
- Migrate to tensor flow 2 HOT 5
- https://github.com/Accenture/AmpliGraph/blob/d4bf44559cb7178039f21203780be4eb946ea4eb/experiments/IJCAI-21/experiments.py#L12 HOT 1
- ConvE has no attribute tensorboard_logs_path
- generate_candidates() doesn't work as expected - generates same triplet
- Refit a trained model with new triplets HOT 3
- Implement NodePieces HOT 1
- FocusE-ComplEx: Question on using numeric edge weight attributes - prediction performance (MRR) and embeddings are very similar between models with and without edge weights
- discovery.py library, discover_facts function, when returning np.hstack if some array is empty
- Can we pass custom trained embedding as entity and then train the model?
- Multiple GPU for training
- AttributeEerro while running the code HOT 1
- ImportError: cannot import name 'ConvKB' from 'ampligraph.latent_features' HOT 3
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from ampligraph.