gensim

This function uses Word2Vec or Doc2Vec models from the gensim library to generate a sentence with random words. The user can specify the model type (dbow or doc2vec) and the number of words to generate.

Text generation 2024-12-16 12:18:02 29 views

Polyglot library

This function uses the Polyglot library to generate random sentences in a specified language. It first downloads the necessary models and then uses these models to generate sentences.

The type of code 2024-12-16 12:16:53 24 views

Flask-SQLAlchemy SQLAlchemy

The code uses Flask-SQLAlchemy to create a database model, defines a custom event to perform an operation after a new user is created, and creates a Flask route to handle user creation requests.

The type of code 2024-12-16 12:16:34 12 views

FastAPI Pydantic

This code creates a FastAPI application to retrieve user data. It uses Pydantic to define data models and leverages FastAPI's dependency injection system to fetch data.

The type of code 2024-12-16 12:16:23 11 views

The code

The code uses the LightGBM library to extract feature importance from a trained model. It also uses NumPy for numerical operations.

The type of code 2024-12-16 12:15:48 10 views

Fairseq PyTorch

This function uses Fairseq library's models and datasets for random translation. It first randomly selects a model and corpus, then loads the model and dataset, and finally translates the input sentence.

The type of code 2024-12-16 12:15:39 26 views

Flair library

This function performs sentiment analysis on the given text using a randomly selected pre-trained model from Flair's repository.

The type of code 2024-12-16 12:14:48 9 views

Packages and

PermutationImportance, Explain_weights, Explainer, FeatureImportances

The type of code 2024-12-16 12:14:38 10 views

Polyglot library

The function generates a random word based on the specified language using the Polyglot library. It first checks if the necessary models are already downloaded, then loads a sample text and extracts a random word from it.

Function 2024-12-16 12:14:29 6 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