feat(package): Add model packages #5
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GMishx
reviewed
Jul 2, 2022
| logreg = Pipeline( | ||
| [ | ||
| ("vect", CountVectorizer()), | ||
| ("tfidf", TfidfTransformer()), |
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Just an idea came to my mind. Can we try using BM25 in place of TF-IDF and see if there are any improvements? This will also help us compare the two for the license domain.
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Ya sure, I will try using BM25.
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For now I have modified the code as suggested and also added the package for linear support vector machine model.
Thanks:)
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hastagAB
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Jul 6, 2022
Kaushl2208
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Jul 8, 2022
| ("clf", LinearSVC(n_jobs=1, C=1e5)), | ||
| ] | ||
| ) | ||
| print("Model training is started!") |
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Suggested change
| print("Model training is started!") | |
| print("Model training has started!") |
| train_data = data() | ||
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| X_train = train_data.text | ||
| y_train = train_data.short_name |
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Suggested change
| y_train = train_data.short_name | |
| Y_train = train_data.short_name |
or lower caps the X_train as well :)
| ] | ||
| ) | ||
| print("Model training is started!") | ||
| logreg_model = logreg.fit(X_train, y_train) |
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Same here, The X_train and Y_train uniformity
| def train(): | ||
| train_data = data() | ||
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|
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| X_train = train_data.text |
| ] | ||
| ) | ||
| print("Model training is started!") | ||
| logreg_model = logreg.fit(X_train, y_train) |
| ("clf", LogisticRegression(n_jobs=1, C=1e5)), | ||
| ] | ||
| ) | ||
| print("Model training is started!") |
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Suggested change
| print("Model training is started!") | |
| print("Model training has started!") |
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Kaushl2208
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Jul 18, 2022
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Description
This pr is to add model training code and the python package code for logistic regression linear support vector machine model that has been created.
File Structure
How to train
For training the model run
python path/to/model_train.pyNotes
Test for the implemented model is done locally by creating the agents for logisticRegression and linearsvc on atarashi and the accuracy score that has been tested using evaluator.py is 63% for both models.
CC: @GMishx @Kaushl2208 @hastagAB @ag4ums @vasudevmaduri