Add Contributor Covenant Code of Conduct - #143
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* factory method to load embeddings at the w2v format (#53) * Revert "factory method to load embeddings at the w2v format (#53)" This reverts commit 7da0e99. * 52 loading vectors such as w2v or spine ones (#57) * factory method to load embeddings at the w2v format * Update graph_embeddings.py, small fix * Adding distRatio (#59) * moving dist ratio in sinr.text.evaluate, adding unit tests (#61) * commenting cosine_dist, pick_intruder, dist_ratio, dist_ratio_dim, intra_sim, inter_sim methods * moving distRatio from graph_embeddings to text/evaluate * tests unitaires distratio * cleaning comments * adding creation and deletion of w2v file for distRatio unit tests * fix with_value() argument (#65) Co-authored-by: Simon Guillot <simon.guillot@univ-lemans.fr> * load_from_word2vec model s name bug fixed (#70) * missing word list bug fixed (#68) * 73 wrong community memberships update when filtering dimensions (#75) * update of community_membership when filtering dimensions * sinr filtered: removing dimensions and updating communities_sets * fixed code to pass tests * comments * 76 preprocessing multiple documents (#77) * preprocessing by documents * Tests : preprocessing by sentences and by documents * adding size indicator for spacy model and downloading spacy model in tests workflow' * downloading spacy * 78 classification (#80) * preprocess : minimal length of documents kept + tests * vectorizer + test * classification's methods + tests * xgboost interpretable dimensions * adding xgboost for test workflow * classification, fit and score test modification * get_dimension_stereotypes on removed community fixed (#82) * Filtering words using a dictionnary (#84) * Exceptions list, path to save / load SINrVectors (#86) * not removing words when in exceptions list * add path to method save * exceptions list to set + test exceptions list * path parameter method load * new exceptions list for similarity * optionnal parameter path for load and save methods * 90 notebooks (#91) * fix save, load, dim_nnz_thresholds + add obj_nnz_count * add notebook with gutenberg example * bnc model for notebook * notebook bnc * notebook frwac * remove nb evaluate * add tqdm to sparsify method * 99 diachronic features (#100) * Dev (#94) * factory method to load embeddings at the w2v format (#53) * Revert "factory method to load embeddings at the w2v format (#53)" This reverts commit 7da0e99. * 52 loading vectors such as w2v or spine ones (#57) * factory method to load embeddings at the w2v format * Update graph_embeddings.py, small fix * Adding distRatio (#59) * moving dist ratio in sinr.text.evaluate, adding unit tests (#61) * commenting cosine_dist, pick_intruder, dist_ratio, dist_ratio_dim, intra_sim, inter_sim methods * moving distRatio from graph_embeddings to text/evaluate * tests unitaires distratio * cleaning comments * adding creation and deletion of w2v file for distRatio unit tests * fix with_value() argument (#65) Co-authored-by: Simon Guillot <simon.guillot@univ-lemans.fr> * load_from_word2vec model s name bug fixed (#70) * missing word list bug fixed (#68) * 73 wrong community memberships update when filtering dimensions (#75) * update of community_membership when filtering dimensions * sinr filtered: removing dimensions and updating communities_sets * fixed code to pass tests * comments * 76 preprocessing multiple documents (#77) * preprocessing by documents * Tests : preprocessing by sentences and by documents * adding size indicator for spacy model and downloading spacy model in tests workflow' * downloading spacy * 78 classification (#80) * preprocess : minimal length of documents kept + tests * vectorizer + test * classification's methods + tests * xgboost interpretable dimensions * adding xgboost for test workflow * classification, fit and score test modification * get_dimension_stereotypes on removed community fixed (#82) * Filtering words using a dictionnary (#84) * Exceptions list, path to save / load SINrVectors (#86) * not removing words when in exceptions list * add path to method save * exceptions list to set + test exceptions list * path parameter method load * new exceptions list for similarity * optionnal parameter path for load and save methods * 90 notebooks (#91) * fix save, load, dim_nnz_thresholds + add obj_nnz_count * add notebook with gutenberg example * bnc model for notebook * notebook bnc * notebook frwac * remove nb evaluate * add tqdm to sparsify method --------- Co-authored-by: Thibault PROUTEAU <thibault.prouteau@gmail.com> Co-authored-by: Anna B <72624798+aberanger@users.noreply.github.com> Co-authored-by: Simon Guillot <47661058+SimonGuillot@users.noreply.github.com> Co-authored-by: Simon Guillot <simon.guillot@univ-lemans.fr> * Update deploy.yml * [AUTO-COMMIT] Update release version to v1.3.1. (#96) Files changed: M pyproject.toml M sinr/__init__.py Co-authored-by: nicolasdugue <nicolasdugue@users.noreply.github.com> * doc update (#97) * doc update * links update * remove doc, quality, build * fix LICENSE link * Update conf.py --------- Co-authored-by: Thibault PROUTEAU <thibault.prouteau@univ-lemans.fr> * Diachronic features * Update publications.rst --------- Co-authored-by: Thibault PROUTEAU <thibault.prouteau@gmail.com> Co-authored-by: Anna B <72624798+aberanger@users.noreply.github.com> Co-authored-by: Simon Guillot <47661058+SimonGuillot@users.noreply.github.com> Co-authored-by: Simon Guillot <simon.guillot@univ-lemans.fr> Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: nicolasdugue <nicolasdugue@users.noreply.github.com> Co-authored-by: Thibault PROUTEAU <thibault.prouteau@univ-lemans.fr> * remove disconnected nodes from the graph (#105) * remove isolated nodes from the graph * test update * 98 multiple edges - temporary fix (#107) * Dev (#94) * factory method to load embeddings at the w2v format (#53) * Revert "factory method to load embeddings at the w2v format (#53)" This reverts commit 7da0e99. * 52 loading vectors such as w2v or spine ones (#57) * factory method to load embeddings at the w2v format * Update graph_embeddings.py, small fix * Adding distRatio (#59) * moving dist ratio in sinr.text.evaluate, adding unit tests (#61) * commenting cosine_dist, pick_intruder, dist_ratio, dist_ratio_dim, intra_sim, inter_sim methods * moving distRatio from graph_embeddings to text/evaluate * tests unitaires distratio * cleaning comments * adding creation and deletion of w2v file for distRatio unit tests * fix with_value() argument (#65) Co-authored-by: Simon Guillot <simon.guillot@univ-lemans.fr> * load_from_word2vec model s name bug fixed (#70) * missing word list bug fixed (#68) * 73 wrong community memberships update when filtering dimensions (#75) * update of community_membership when filtering dimensions * sinr filtered: removing dimensions and updating communities_sets * fixed code to pass tests * comments * 76 preprocessing multiple documents (#77) * preprocessing by documents * Tests : preprocessing by sentences and by documents * adding size indicator for spacy model and downloading spacy model in tests workflow' * downloading spacy * 78 classification (#80) * preprocess : minimal length of documents kept + tests * vectorizer + test * classification's methods + tests * xgboost interpretable dimensions * adding xgboost for test workflow * classification, fit and score test modification * get_dimension_stereotypes on removed community fixed (#82) * Filtering words using a dictionnary (#84) * Exceptions list, path to save / load SINrVectors (#86) * not removing words when in exceptions list * add path to method save * exceptions list to set + test exceptions list * path parameter method load * new exceptions list for similarity * optionnal parameter path for load and save methods * 90 notebooks (#91) * fix save, load, dim_nnz_thresholds + add obj_nnz_count * add notebook with gutenberg example * bnc model for notebook * notebook bnc * notebook frwac * remove nb evaluate * add tqdm to sparsify method --------- Co-authored-by: Thibault PROUTEAU <thibault.prouteau@gmail.com> Co-authored-by: Anna B <72624798+aberanger@users.noreply.github.com> Co-authored-by: Simon Guillot <47661058+SimonGuillot@users.noreply.github.com> Co-authored-by: Simon Guillot <simon.guillot@univ-lemans.fr> * Update deploy.yml * [AUTO-COMMIT] Update release version to v1.3.1. (#96) Files changed: M pyproject.toml M sinr/__init__.py Co-authored-by: nicolasdugue <nicolasdugue@users.noreply.github.com> * doc update (#97) * doc update * links update * remove doc, quality, build * fix LICENSE link * Update conf.py --------- Co-authored-by: Thibault PROUTEAU <thibault.prouteau@univ-lemans.fr> * temporary fix multiple (i,j) entries issue in cooccurrence matrix --------- Co-authored-by: Nico <nicolas.dugue@univ-lemans.fr> Co-authored-by: Thibault PROUTEAU <thibault.prouteau@gmail.com> Co-authored-by: Simon Guillot <47661058+SimonGuillot@users.noreply.github.com> Co-authored-by: Simon Guillot <simon.guillot@univ-lemans.fr> Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: nicolasdugue <nicolasdugue@users.noreply.github.com> Co-authored-by: Thibault PROUTEAU <thibault.prouteau@univ-lemans.fr> * 108 incompatibility numpy pandas (#109) * Dev (#94) * factory method to load embeddings at the w2v format (#53) * Revert "factory method to load embeddings at the w2v format (#53)" This reverts commit 7da0e99. * 52 loading vectors such as w2v or spine ones (#57) * factory method to load embeddings at the w2v format * Update graph_embeddings.py, small fix * Adding distRatio (#59) * moving dist ratio in sinr.text.evaluate, adding unit tests (#61) * commenting cosine_dist, pick_intruder, dist_ratio, dist_ratio_dim, intra_sim, inter_sim methods * moving distRatio from graph_embeddings to text/evaluate * tests unitaires distratio * cleaning comments * adding creation and deletion of w2v file for distRatio unit tests * fix with_value() argument (#65) Co-authored-by: Simon Guillot <simon.guillot@univ-lemans.fr> * load_from_word2vec model s name bug fixed (#70) * missing word list bug fixed (#68) * 73 wrong community memberships update when filtering dimensions (#75) * update of community_membership when filtering dimensions * sinr filtered: removing dimensions and updating communities_sets * fixed code to pass tests * comments * 76 preprocessing multiple documents (#77) * preprocessing by documents * Tests : preprocessing by sentences and by documents * adding size indicator for spacy model and downloading spacy model in tests workflow' * downloading spacy * 78 classification (#80) * preprocess : minimal length of documents kept + tests * vectorizer + test * classification's methods + tests * xgboost interpretable dimensions * adding xgboost for test workflow * classification, fit and score test modification * get_dimension_stereotypes on removed community fixed (#82) * Filtering words using a dictionnary (#84) * Exceptions list, path to save / load SINrVectors (#86) * not removing words when in exceptions list * add path to method save * exceptions list to set + test exceptions list * path parameter method load * new exceptions list for similarity * optionnal parameter path for load and save methods * 90 notebooks (#91) * fix save, load, dim_nnz_thresholds + add obj_nnz_count * add notebook with gutenberg example * bnc model for notebook * notebook bnc * notebook frwac * remove nb evaluate * add tqdm to sparsify method --------- Co-authored-by: Thibault PROUTEAU <thibault.prouteau@gmail.com> Co-authored-by: Anna B <72624798+aberanger@users.noreply.github.com> Co-authored-by: Simon Guillot <47661058+SimonGuillot@users.noreply.github.com> Co-authored-by: Simon Guillot <simon.guillot@univ-lemans.fr> * Update deploy.yml * [AUTO-COMMIT] Update release version to v1.3.1. (#96) Files changed: M pyproject.toml M sinr/__init__.py Co-authored-by: nicolasdugue <nicolasdugue@users.noreply.github.com> * doc update (#97) * doc update * links update * remove doc, quality, build * fix LICENSE link * Update conf.py --------- Co-authored-by: Thibault PROUTEAU <thibault.prouteau@univ-lemans.fr> * Correcting conflict between pandas and numpy --------- Co-authored-by: Thibault PROUTEAU <thibault.prouteau@gmail.com> Co-authored-by: Anna B <72624798+aberanger@users.noreply.github.com> Co-authored-by: Simon Guillot <47661058+SimonGuillot@users.noreply.github.com> Co-authored-by: Simon Guillot <simon.guillot@univ-lemans.fr> Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: nicolasdugue <nicolasdugue@users.noreply.github.com> Co-authored-by: Thibault PROUTEAU <thibault.prouteau@univ-lemans.fr> Co-authored-by: nicolasdugue <dugue@skinner.clusteretu.univ-lemans.fr> * Removing conflict between numpy and karateclub, karateclub not being used in sinr * Solving depency problem with docutils * Fixes misleading documentation in SINrVectors class (#121) * 110 analogy evaluation (#122) * Analogy evaluation V1 Files changed : -sint/text/evaluate.py New functions : -best_predicted_word -eval_analogy Description : -best_predicted_word : To solve analogies of the type "A is to B as C is to D(the word we are looking for)" thanks to sinr vectors and three words in parameter, it returns the best possibility -eval_analogy : To compare the predictions with the expected answers with the dataset and the vectors. It also allows you to select a certain number of word in the documents Co-Authored-By: RyuAragi <122371001+RyuAragi@users.noreply.github.com> Co-Authored-By: Loniime <123164246+Loniime@users.noreply.github.com> Co-Authored-By: Sedra Alhallak <123164242+sedraalhallak@users.noreply.github.com> * Add fetch for analogy Files changed : -sint/text/evaluate.py New functions : -find_txt_files -remove_invalid_lines -format_lines -fetch_analogy Description : - find_txt_files: Locate all text files within a directory and its subdirectories. - remove_invalid_lines: Filter out invalid or unwanted lines from the content. - format_lines: Standardize the formatting of content lines into consistent structures. - fetch_analogy: Download, extract, clean, and assemble analogy datasets. Co-Authored-By: Sedra Alhallak <123164242+sedraalhallak@users.noreply.github.com> Co-Authored-By: Loniime <123164246+loniime@users.noreply.github.com> Co-Authored-By: RyuAragi <122371001+ryuaragi@users.noreply.github.com> * Add 2 alternative analogy functions - Normalize & Negative value to zero Files changed : -sint/text/evaluate.py New functions : -calcul_analogy_value_zero -calcul_analogy_normalized Description : -calcul_analogy_value_zero : Solve analogy of the type A is to B as C is to D with only positives values in the resulting vector. -calcul_analogy_normalized : Solve analogy of the type A is to B as C is to D with normalize the resulting vector so that the sum of it's components equals 1. Co-Authored-By: Loniime <123164246+loniime@users.noreply.github.com> Co-Authored-By: Sedra Alhallak <123164242+sedraalhallak@users.noreply.github.com> Co-Authored-By: RyuAragi <122371001+ryuaragi@users.noreply.github.com> * Add function calcul_analogy_sparsified_normalized file modified : evaluate.py function add: calcul_analogy_sparsified_normalized Description : solve the analogy A to B is C to D with sparcification and normalized values Co-Authored-By: Loniime <123164246+loniime@users.noreply.github.com> Co-Authored-By: Sedra Alhallak <123164242+sedraalhallak@users.noreply.github.com> Co-Authored-By: RyuAragi <122371001+ryuaragi@users.noreply.github.com> * Pytest function analogy file modified : test_sinr_evaluate.py class add: MockSINrVectors, TestAnalogyFunctions, TestCalculAnalogySparsifiedNormalized, TestCalculAnalogyValueZero Description : testing the different analogy functions Co-Authored-By: Loniime <123164246+loniime@users.noreply.github.com> Co-Authored-By: Sedra Alhallak <123164242+sedraalhallak@users.noreply.github.com> Co-Authored-By: RyuAragi <122371001+ryuaragi@users.noreply.github.com> * Fix analogy V1 Analogy evaluation V1 Files changed : -sint/text/evaluate.py New function : -normalize_vector Modified functions : -best_predicted_word -eval_analogy Description : -normalize_vector : Normalize a vector. -best_predicted_word : use of normalisation ( L2 norm ) for the vectors a, b and c when calculating the result vector. Using get_my_vector instead of vectors[sinr_vec.vocab.index(word_a)] -eval_analogy: some optimisations --------- Co-authored-by: RyuAragi <122371001+RyuAragi@users.noreply.github.com> Co-authored-by: Loniime <123164246+Loniime@users.noreply.github.com> Co-authored-by: Sedra Alhallak <123164242+sedraalhallak@users.noreply.github.com> * Update docs (#123) * Update list of publications in README.rst. * Update docs/publications.rst. * Update docs/presentation.rst and fix lingering typos. * Fix lingering typos. * Update README.rst * 111 bias evaluation (#125) * Implement direct bias calculation using cosine similarity Files changed : -sint/text/evaluate.py New functions : - normalize - load_config - identify_gender_direction_sinr - calc_direct_bias_sinr Description : - normalize : Normalize a vector. - load_config : Load the configuration file from JSON(config.json). - identify_gender_direction_sinr : Compute the gender direction using different methods (single, sum, PCA) based on definitional word pairs. - calc_direct_bias_sinr : Measure the direct bias of words with respect to the gender direction using cosine similarity. * Unit tests for gender direction and direct bias functions Files changed : - tests/test_sinr_evaluate.py New tests : - test_gender_direction : Verifies the computation of the gender direction using PCA method. - test_direct_bias : Validates the direct bias computation based on the gender direction for given professions. * Add config.json file for gender and profession configuration Description : - config.json : Contains configuration for gender definitional pairs and list of professions to be used for bias calculation. - "definitional_pairs": Defines pairs of words for gender analogies ("men" vs "woman", "father" vs "mother"). - "professions": A list of professions to analyze for gender bias ("actor", "actress"). * Implement Indirect bias calculation Files changed: - sinr\text\evaluate.py Functions added: - project_vector - reject_vector - calc_indirect_bias_sinr Description: - project_vector: Computes the projection of a vector 'a' onto the direction of a normalized vector 'b'. - reject_vector: Computes the orthogonal projection of vector 'a' onto the direction of vector 'b', by subtracting the projection of 'a' onto 'b' from 'a' itself. - calc_indirect_sinr: Computes the indirect bias between two words by calculating their similarity while factoring out the gender component. * Unit tests for indirect bias Files changed: - tests\test_sinr_evaluate.py New tests: - test_project_vector: Tests the project_vector function by checking if the projection of a vector 'a' onto a direction 'b' is correctly computed. - test_reject_vector: Tests the reject_vector function to ensure the orthogonal projection of vector 'a' onto direction 'v' is computed as expected. - test_calc_indirect_bias_sinr: Verifies that the calc_indirect_bias_sinr function returns a float value when calculating the indirect bias between two words (father and mother) with a provided gender direction. - test_calc_indirect_bias_sinr_edge_case: Tests an edge case where the similarity is calculated between the same word (father and father) and ensures that the similarity result is 0.0 * Mock class name changed * update * Update * Update * Update * Update * Update evaluate.py * Update test_sinr_evaluate.py * Update test_sinr_evaluate.py * Add Bias to the notebook Files changed: - notebooks\sinr_vec.ipynb Description: Add the DIrect and indirect bias calculation to the notebook * Add Bias to the english and french notebook and add config_fr.json * Fix problem of conflits Fix problem of conflits --------- Co-authored-by: MasterPNJ <38404325+MasterPNJ@users.noreply.github.com> * Add analogy by k and by category (#127) * Add analogy by k and by category Files changed : -sint/text/evaluate.py -tests/test_sinr_evaluate New functions : - best_predicted_word_k - eval_analogy_k - eval_analogy_by_category_k - plot_global_error_rates - plot_category_error_rates Description : - best_predicted_word_k : Predict the best word for the analogy A is to B as C is to D with k best words. - eval_analogy_k : Compare the predicted with the expected word with k best words. - eval_analogy_by_category_k : Evaluate analogy by category with k best words - plot_global_error_rates : Plot global error rates for different values of k - plot_category_error_rates : Plot error rates by category for different values of k Add Unit tests for best_predicted_word_k and eval_analogy_k functions New import : tempfile, matplotlib * Fix missing def in test Fix missing def in test * Fix dimension error Fix dimension error * Fix docstrings and code before merge in main. * Add varnn (#131) * Add varnn Files changed : -sint/text/evaluate.py New functions : - varnn - varnn_across_models - scores_varnn Description : - varnn : Computes varnn for each word is model1 also present in model2 - varnn_across_models : Computes varnn for each word is model1 also present in model2 - scores_varnn : Computes mean of pierrejean score on the shared vocabulary of model1 and model2 Co-Authored-By: Simon Guillot <47661058+SimonGuillot@users.noreply.github.com> * fix hard coding 25 parameter, separate function and some fix - fix hard coding 25 parameter - separate function - some fix * unit test for the varnn function unit test for the varnn function : - test_all_neighbors_shared - test_no_neighbors_shared - test_some_neighbors_shared - test_with_k_different - test_empty_sets --------- Co-authored-by: Simon Guillot <47661058+SimonGuillot@users.noreply.github.com> * 132 index offset during alignment (#133) * Fix : index mismatch Fix index mismatch occurs after aligning the two reference model using the get_vectors_using_self_space function, causing an index out of range error when using get_obj_descriptors function. * Add : Unique function for community transfer and alignment Unique function for performing the entire community transfer and the alignment of a large referential to a small one. * making intermediate transfer methods private making intermediate transfer methods private * Update graph_embeddings.py * Updating the transfer notebook * OOV functions that add nodes and edges (#134) * OOV function to add nodes and edges * Adding comments for the OOV functions that add nodes and edges * Adding comments for the OOV functions that add nodes and edges * Adding comments for the OOV functions that add nodes and edges * Adding comments for the OOV functions that add nodes and edges * fixing adding comments for the OOV functions that add nodes and edges * fixing adding comments for the OOV functions that add nodes and edges * fixing adding comments for the OOV functions that add nodes and edges * Add the OOV functions that add nodes and edges in graph_embeddings, and an illustration example in the TransfertExample notebook * Fixing the OOV functions that add nodes and edges in graph_embeddings * Oov (#136) * OOV function to add nodes and edges * Adding comments for the OOV functions that add nodes and edges * Adding comments for the OOV functions that add nodes and edges * Adding comments for the OOV functions that add nodes and edges * Adding comments for the OOV functions that add nodes and edges * fixing adding comments for the OOV functions that add nodes and edges * fixing adding comments for the OOV functions that add nodes and edges * fixing adding comments for the OOV functions that add nodes and edges * Add the OOV functions that add nodes and edges in graph_embeddings, and an illustration example in the TransfertExample notebook * Fixing the OOV functions that add nodes and edges in graph_embeddings * Add the OOV functions that add nodes and edges in graph_embeddings, and an illustration example in the TransfertExample notebook * Add Diachrony function (#137) * Add option for have a format : lemma_#POS * Add some function for compute diachrony - cosine_similarity : cosine similarity - difference_vector_common_space : the difference vector - compute_change_norms : an OrderedDict with words as keys and their change norms as values. - get_change_vectors : a dictionary with words as keys and their change vectors as values. - compute_similarity_matrix : a list of words and a similarity matrix. - plot_topk_similarity_matrix : plots heatmaps for the top-k words and their neighbors. * class diachronic * fix * Create DiachronyExample.ipynb * Update diachrony.py * fix option with_lemma_pos for extract text fix option with_lemma_pos for extract text * Update DiachronyExample.ipynb --------- Co-authored-by: Thibault PROUTEAU <thibault.prouteau@gmail.com> Co-authored-by: Anna B <72624798+aberanger@users.noreply.github.com> Co-authored-by: Simon Guillot <47661058+SimonGuillot@users.noreply.github.com> Co-authored-by: Simon Guillot <simon.guillot@univ-lemans.fr> Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: nicolasdugue <nicolasdugue@users.noreply.github.com> Co-authored-by: Thibault PROUTEAU <thibault.prouteau@univ-lemans.fr> Co-authored-by: nicolasdugue <dugue@skinner.clusteretu.univ-lemans.fr> Co-authored-by: MasterPNJ <38404325+MasterPNJ@users.noreply.github.com> Co-authored-by: RyuAragi <122371001+RyuAragi@users.noreply.github.com> Co-authored-by: Loniime <123164246+Loniime@users.noreply.github.com> Co-authored-by: Sedra Alhallak <123164242+sedraalhallak@users.noreply.github.com> Co-authored-by: thibaultprouteau <thibault.prouteau@loria.fr>
Files changed: M pyproject.toml M sinr/__init__.py Co-authored-by: nicolasdugue <nicolasdugue@users.noreply.github.com>
This document outlines the standards of behavior for community members and the enforcement procedures for violations.
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Pull request overview
Adds a Contributor Covenant Code of Conduct document to define expected community behavior and an enforcement process for the repository.
Changes:
- Introduces
CODE_OF_CONDUCT.mdbased on Contributor Covenant v2.0. - Defines community standards, scope, enforcement process, and enforcement guidelines.
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| 💡 **Seemantics : devinez les mots, éclairez les algorithmes** | ||
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| Jouez et participez à notre travail de recherche sur les embeddings interprétables : <https://lium-seemantics.univ-lemans.fr/> |
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| Instances of abusive, harassing, or otherwise unacceptable behavior may be | ||
| reported to the community leaders responsible for enforcement via the project's | ||
| official reporting channel, as described in the project documentation. |
| [tool.poetry] | ||
| name = "sinr" | ||
| version = "v1.4.1" | ||
| version = "v1.4.2" |
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This document outlines the standards of behavior for community members and the enforcement procedures for violations.