NLP-DecisionTreeClassifier
Sci-kit Learn Decision Tree Classifier for identifying word entities in text
Installation Instructions!
pip install NLP-DecisionTreeClassifier
To train a model using this Decision Tree Classifier, you need to provide a text file, that it will be trained on. Example large_text_file.txt
- Call get_sentences_from_text(file_path) The file path is the route to the text file
- Call sentence_processor(file_path, sentence) This is the same file_path, the sentence parameter is step 1.
- Call train_model(model_name, file_path_model) The model name will be the model file's name, saved in the file path.
After training you can get accuracy scores for the model, or predict on unseen data
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Release files for NLP-DecisionTreeClassifier 0.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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Release files / NLP-DecisionTreeClassifier-0.0.2.tar.gz
| Download URL | NLP-DecisionTreeClassifier-0.0.2.tar.gz |
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