{"id":13570331,"url":"https://github.com/joaoalvarenga/namegenderclassifier","last_synced_at":"2025-04-04T06:32:24.299Z","repository":{"id":123704654,"uuid":"92885149","full_name":"joaoalvarenga/namegenderclassifier","owner":"joaoalvarenga","description":"Gender classification by name","archived":false,"fork":false,"pushed_at":"2017-05-31T04:25:10.000Z","size":216,"stargazers_count":9,"open_issues_count":0,"forks_count":0,"subscribers_count":3,"default_branch":"master","last_synced_at":"2024-11-05T02:36:27.362Z","etag":null,"topics":["brasil","brazil","classificador","classifier","gender","genero","keras","mlp","neural-network","nome","perceptron","portugues","portuguese"],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/joaoalvarenga.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null}},"created_at":"2017-05-30T23:33:54.000Z","updated_at":"2023-08-17T19:51:26.000Z","dependencies_parsed_at":"2024-01-14T03:50:03.050Z","dependency_job_id":"93d9bf7b-1157-4508-ae6e-c6af86710872","html_url":"https://github.com/joaoalvarenga/namegenderclassifier","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/joaoalvarenga%2Fnamegenderclassifier","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/joaoalvarenga%2Fnamegenderclassifier/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/joaoalvarenga%2Fnamegenderclassifier/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/joaoalvarenga%2Fnamegenderclassifier/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/joaoalvarenga","download_url":"https://codeload.github.com/joaoalvarenga/namegenderclassifier/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247134992,"owners_count":20889412,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["brasil","brazil","classificador","classifier","gender","genero","keras","mlp","neural-network","nome","perceptron","portugues","portuguese"],"created_at":"2024-08-01T14:00:51.139Z","updated_at":"2025-04-04T06:32:19.284Z","avatar_url":"https://github.com/joaoalvarenga.png","language":"Python","readme":"# Name Gender Classifier  \n![built with](https://img.shields.io/badge/Built%20with-Python%203-green.svg)\n\nA gender classifier based on first names.  \nThis classifier implements a single layer perceptron as main classifier.  \nIt uses name's last 3-gram and character frequency as features into the classifier.\n\n## Dataset\nWith brazilian names dataset, my current numbers are:\n```\nAccuracy: 0.759988\nPrecision: 0.753677\nRecall: 0.756184\nF1: 0.754929\n```\n\n# Quick start\n## Requirements\nThis project uses Python 3 specifications  \nInstall all project dependencies via pip after cloning project\n```\n$ python setup.py install\n$ pip install -r requirements.txt\n```\n## Training example\n```python\nfrom genderclassifier import GenderClassifier\nimport pandas as pd\n\ndataset = pd.read_csv(\"data/nomes.csv\").values\n\nclassifier = GenderClassifier()\nclassifier.train(dataset)\nclassifier.save(\"models/example\")\nprecision, recall, accuracy, f1 = classifier.evaluate(dataset)\nprint(\"Accuracy: %f\" % accuracy)\nprint(\"Precision: %f\" % precision)\nprint(\"Recall: %f\" % recall)\nprint(\"F1: %f\" % f1)\n```\n\n## Predicting\n```python\nfrom genderclassifier import GenderClassifier\nclassifier = GenderClassifier()\nclassifier.load(\"models/example\")\nname = input()\nwhile name is not \"q\":\n    pred = classifier.predict([name])\n    print(\"%s - %s\" % (name, pred))\n    name = input()\n```\n\n# License\nMIT License\n\n# Contributing\n\n:+1::tada: First off, thanks for taking the time to contribute! 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