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GitHub / narutohyc / evaluate

A library for easily evaluating machine learning models and datasets.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/narutohyc%2Fevaluate

Fork of huggingface/evaluate
Stars: 0
Forks: 0
Open Issues: 0

License: apache-2.0
Language:
Repo Size: 1.63 MB
Dependencies: 157

Created: almost 2 years ago
Updated: 10 months ago
Last pushed: almost 2 years ago
Last synced: 10 months ago

Files

Readme

Dependencies

.github/workflows/build_documentation.yml actions

.github/workflows/build_pr_documentation.yml actions

.github/workflows/delete_doc_comment.yml actions

.github/workflows/python-release.yml actions

actions/checkout v2 composite
actions/setup-python v2 composite

.github/workflows/update_spaces.yml actions

actions/checkout v2 composite
actions/setup-python v2 composite

.github/hub/requirements.txt pypi

huggingface_hub *

additional-tests-requirements.txt pypi

gin-config * test
unbabel-comet >=1.0.0 test

comparisons/exact_match/requirements.txt pypi

datasets *
evaluate ==0.1.0
scipy *

comparisons/mcnemar/requirements.txt pypi

datasets *
evaluate ==0.1.0
scipy *

measurements/perplexity/requirements.txt pypi

datasets *
evaluate ==0.1.0
torch *
transformers *

measurements/text_duplicates/requirements.txt pypi

datasets *

measurements/word_count/requirements.txt pypi

datasets *
sklearn *

measurements/word_length/requirements.txt pypi

datasets *
nltk *

metrics/accuracy/requirements.txt pypi

datasets *
evaluate ==0.1.0
sklearn *

metrics/bertscore/requirements.txt pypi

bert_score *
datasets *
evaluate ==0.1.0

metrics/bleu/requirements.txt pypi

datasets *
evaluate ==0.1.0

metrics/bleurt/requirements.txt pypi

datasets *
evaluate ==0.1.0

metrics/cer/requirements.txt pypi

datasets *
evaluate ==0.1.0
jiwer *

metrics/chrf/requirements.txt pypi

datasets *
evaluate ==0.1.0
sacrebleu *

metrics/code_eval/requirements.txt pypi

datasets *
evaluate ==0.1.0

metrics/comet/requirements.txt pypi

metrics/competition_math/requirements.txt pypi

datasets *
evaluate ==0.1.0

metrics/coval/requirements.txt pypi

datasets *
evaluate ==0.1.0

metrics/cuad/requirements.txt pypi

datasets *
evaluate ==0.1.0

metrics/exact_match/requirements.txt pypi

datasets *
evaluate ==0.1.0

metrics/f1/requirements.txt pypi

datasets *
evaluate ==0.1.0
sklearn *

metrics/frugalscore/requirements.txt pypi

datasets *
evaluate ==0.1.0
torch *
transformers *

metrics/glue/requirements.txt pypi

datasets *
evaluate ==0.1.0
scipy *
sklearn *

metrics/google_bleu/requirements.txt pypi

datasets *
evaluate ==0.1.0
nltk *

metrics/indic_glue/requirements.txt pypi

datasets *
evaluate ==0.1.0
scipy *
sklearn *

metrics/mae/requirements.txt pypi

datasets *
evaluate ==0.1.0
sklearn *

metrics/mahalanobis/requirements.txt pypi

datasets *
evaluate ==0.1.0

metrics/matthews_correlation/requirements.txt pypi

datasets *
evaluate ==0.1.0
sklearn *

metrics/mauve/requirements.txt pypi

metrics/mean_iou/requirements.txt pypi

datasets *
evaluate ==0.1.0

metrics/meteor/requirements.txt pypi

datasets *
evaluate ==0.1.0
nltk *

metrics/mse/requirements.txt pypi

datasets *
evaluate ==0.1.0
sklearn *

metrics/pearsonr/requirements.txt pypi

datasets *
evaluate ==0.1.0
scipy *

metrics/perplexity/requirements.txt pypi

datasets *
evaluate ==0.1.0
torch *
transformers *

metrics/precision/requirements.txt pypi

datasets *
evaluate ==0.1.0
sklearn *

metrics/recall/requirements.txt pypi

datasets *
evaluate ==0.1.0
sklearn *

metrics/rl_reliability/requirements.txt pypi

metrics/roc_auc/requirements.txt pypi

datasets *
evaluate ==0.1.0
sklearn *

metrics/rouge/requirements.txt pypi

absl-py *
datasets *
evaluate ==0.1.0
nltk *
rouge_score *

metrics/sacrebleu/requirements.txt pypi

datasets *
evaluate ==0.1.0
sacrebleu *

metrics/sari/requirements.txt pypi

metrics/seqeval/requirements.txt pypi

datasets *
evaluate ==0.1.0
seqeval *

metrics/spearmanr/requirements.txt pypi

datasets *
evaluate ==0.1.0
scipy *

metrics/squad/requirements.txt pypi

datasets *
evaluate ==0.1.0

metrics/squad_v2/requirements.txt pypi

datasets *
evaluate ==0.1.0

metrics/super_glue/requirements.txt pypi

datasets *
evaluate ==0.1.0
sklearn *

metrics/ter/requirements.txt pypi

datasets *
evaluate ==0.1.0
sacrebleu *

metrics/trec_eval/requirements.txt pypi

datasets *
evaluate ==0.1.0
trectools *

metrics/wer/requirements.txt pypi

datasets *
evaluate ==0.1.0
jiwer *

metrics/wiki_split/requirements.txt pypi

metrics/xnli/requirements.txt pypi

datasets *
evaluate ==0.1.0

metrics/xtreme_s/requirements.txt pypi

datasets *
evaluate ==0.1.0
sklearn *

setup.py pypi

templates/{{ cookiecutter.module_slug }}/requirements.txt pypi

datasets *
evaluate ==0.1.0