Eli5 scikit-learn This function uses the PermutationImportance from the Eli5 library to calculate the feature importance for a given dataset. It does so by shuffling the feature values and retraining the model, then comparing the change in model performance to evaluate the importance of each feature. Machine learning 2024-12-16 12:16:57 28 views
eli5 scikit-learn This function creates a randomly chosen machine learning pipeline using CountVectorizer for text vectorization and LogisticRegression or DecisionTreeClassifier as the classifier. Then, it uses the show_weights function from the eli5 library to generate a feature importances table and formats it as an HTML table. Machine learning 2024-12-16 12:16:48 24 views
numpy sklearn.decomposition.PCA This function first applies PCA (Principal Component Analysis) to reduce the dimensions of the dataset, and then uses PermutationImportance to explain the importance of the principal components. PermutationImportance evaluates the importance of features by randomly shuffling feature values and observing the change in model performance. The type of code 2024-12-16 12:16:44 14 views
eli5 sklearn This function uses PermutationImportance from the eli5 library to evaluate the feature importance of a randomly selected sklearn model. It first selects a model, then fits PermutationImportance to the model, and finally returns the feature importance. The type of code 2024-12-16 12:16:00 12 views
Eli5 scikit-learn The function accepts a text and an integer n, returning the n most frequently occurring words in the text. It uses the Eli5 library for feature extraction and visualization. The type of code 2024-12-16 12:14:57 11 views
Python eli5 This function uses Non-negative Matrix Factorization (NMF) to extract topics from a list of texts and explains each topic using the eli5 library. It first creates a TF-IDF matrix, then applies NMF, and finally uses eli5 to explain each topic. Python Function 2024-12-16 12:14:47 7 views
Packages and PermutationImportance, Explain_weights, Explainer, FeatureImportances The type of code 2024-12-16 12:14:38 10 views
eli5 random The function randomly selects a word from a given list of words and uses the eli5 library to obtain the explanation weights of the selected word. Python Function 2024-12-16 12:12:49 7 views
Python NumPy This function first applies PCA (Principal Component Analysis) to the input data and then uses PermutationImportance from the eli5 library to assess the importance of each feature after the PCA transformation. Python Function 2024-12-16 12:12:24 4 views
eli5 library The function randomly selects a method from the eli5 library and demonstrates its usage with a dummy dataset and model. The type of code 2024-12-16 12:11:48 3 views
