mirror of https://github.com/explosion/spaCy.git
319eb508b5
* Add a `spacy evaluate speed` subcommand This subcommand reports the mean batch performance of a model on a data set with a 95% confidence interval. For reliability, it first performs some warmup rounds. Then it will measure performance on batches with randomly shuffled documents. To avoid having too many spaCy commands, `speed` is a subcommand of `evaluate` and accuracy evaluation is moved to its own `evaluate accuracy` subcommand. * Fix import cycle * Restore `spacy evaluate`, make `spacy benchmark speed` an alias * Add documentation for `spacy benchmark` * CREATES -> PRINTS * WPS -> words/s * Disable formatting of benchmark speed arguments * Fail with an error message when trying to speed bench empty corpus * Make it clearer that `benchmark accuracy` is a replacement for `evaluate` * Fix docstring webpage reference * tests: check `evaluate` output against `benchmark accuracy` |
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| .. | ||
| project | ||
| templates | ||
| __init__.py | ||
| _util.py | ||
| apply.py | ||
| assemble.py | ||
| benchmark_speed.py | ||
| convert.py | ||
| debug_config.py | ||
| debug_data.py | ||
| debug_diff.py | ||
| debug_model.py | ||
| download.py | ||
| evaluate.py | ||
| find_threshold.py | ||
| info.py | ||
| init_config.py | ||
| init_pipeline.py | ||
| package.py | ||
| pretrain.py | ||
| profile.py | ||
| train.py | ||
| validate.py | ||