{"id":14958996,"url":"https://github.com/monk1337/multilab","last_synced_at":"2026-03-04T05:33:06.673Z","repository":{"id":135213447,"uuid":"224185650","full_name":"monk1337/MultiLab","owner":"monk1337","description":"State of art Framework for Multi-label classification","archived":false,"fork":false,"pushed_at":"2019-12-02T06:56:51.000Z","size":412,"stargazers_count":5,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-01-31T03:01:35.154Z","etag":null,"topics":["classification","deep-learning","keras","machine-learning","multi-label-classification","tensorflow","tensorflow-models","tensorflow-tutorials","text-classification","text-processing"],"latest_commit_sha":null,"homepage":"","language":"Jupyter 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Notebook","readme":"\u003ch1 align=\"center\"\u003e MultiLab\u003c/h1\u003e\n\u003cp align=\"center\"\u003eA framework for Multi-label classification, Classical machine learning models to state of art deep learning models for multi label classification, preprocessing Multi-label datasets and load benchmark multi-label datasets, metrices for accuracy calculation \u003c/p\u003e\n\n\nYou can preprocess multilabel dataset simply as follows:\n```python\n\nfrom multilab.preprocess import Text_preprocessing\n\ntp = Text_preprocessing()\npreprocessded_dataset = tp.initial_preprocess(dataframe, chunk_value = 5)\n\n```\n\n### Loading traditional Models\n\n\n```python\nfrom multilab.models import BinaryRe\n\nBm = BinaryRe(x_train, y_train, x_test,y_test)\nprint(Bm.train())\n```\n\noutput :\n\n```python\n\n{'accuracy': 0.4074074074074074, 'f1_score': 0.4395604395604396}\n```\n\n### Loading Bilstm model\n\n```python\nfrom multilab.models import Bilstm\n\n\nconfig = {\n            'vocab_size'                 : 7000,\n            'no_of_labels'               : 9,\n            'rnn_units'                  : 256, \n            'word_embedding_dim'         : 300, \n            'learning_rate'              : 0.001, \n            'pretrained_embedding_matrix': None,\n            'dropout'                    : 0.2,\n            'epoch'                      : 5,\n            'batch_size'                 : 128,\n            'result_path'                : '/Users/aaditya/Desktop',\n            'last_output'                : False,\n            'train_embedding'            : True\n        }\n\n\nbl = Bilstm(x_train, y_train, x_test,y_test, config)\nbl.train()\n```\n\noutput\n\n```python\nvalidation_acc {'subset_accuracy': 0.45166666666666666, 'hamming_score': 0.4601111111111112, 'hamming_loss': 0.1285185185185185, 'micro_ac': 0.4490395710185522, 'weight_ac': 0.2830056188426279, 'epoch': 0}\n```\n\n\n\n\n### Loading Elmo model\n\n```python\nfrom multilab.models import Elmo\n\nconfig = {\n                         'no_of_labels'               : 9,\n                         'learning_rate'              : 0.001,\n                         'epoch'                      : 5,\n                         'batch_size'                 : 128,\n                         'model_type'                 : 'base',\n                         'result_path'                : '.'\n                        }\n\n\nelmo_model = Elmo(x_train, y_train, x_test,y_test, config)\nelmo_model.train()\n\n```\n\noutput\n\n```python\nvalidation_acc {'subset_accuracy': 0.5966666666666666, 'hamming_score': 0.6, 'hamming_loss': 0.05907407407407408, 'micro_ac': 0.6943641132818982, 'weight_ac': 0.5731481624223015, 'epoch': 0}\n```\n\n\n\n##### adding more models, work in 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