scikit-learn This function trains a Random Forest classifier on the training data, predicts labels on the test data, and returns the accuracy of the predictions. Machine learning classification 2024-12-16 12:17:01 19 views
scikit-learn This function uses the RandomForestClassifier to fit the training data and predict labels on the test data, returning the model's accuracy. Machine learning classification 2024-12-16 12:16:42 20 views
scikit-learn This function uses the Random Forest algorithm to classify the given feature set X and label set y, and returns the accuracy of the model on the test set. Machine learning classification function 2024-12-16 12:16:40 13 views
GeoPandas Numpy This function calculates the distance between two geographic coordinates using the Haversine formula and the GeoPandas library. Function 2024-12-16 12:16:38 13 views
gensim Word2Vec This function uses the Word2Vec model from the gensim library to calculate the frequency of each word in a word list. The frequency is calculated by the vector representation of the word in the Word2Vec model. Function 2024-12-16 12:16:35 22 views
numpy pandas This function takes two arguments, generates a random matrix of a specified size using numpy, converts this matrix to a Modin DataFrame, and calculates the sum of all elements in the DataFrame. Function 2024-12-16 12:16:23 12 views
flask-caching Flask This function calls a cached random number generator and returns the sum of two arguments. Function 2024-12-16 12:15:59 12 views
scikit-learn This function uses a random forest classifier to classify the given features and labels and returns the classification accuracy. The type of code 2024-12-16 12:15:16 11 views
SHAP Numpy This function uses the SHAP library to calculate SHAP values for a given model and optionally visualizes these values using the force_plot function. SHAP values are a method to interpret model predictions, measuring the impact of each feature on the model's prediction. The type of code 2024-12-16 12:14:20 9 views
