MXNet

This function accepts two arguments, arg1 and arg2, which define the dimensions of the random matrix to be generated. The function first generates a random matrix of shape (arg1, arg2), then uses MXNet's transpose function to transpose it, and finally returns the transposed matrix.

Python Function 2024-12-16 12:18:03 44 views

SHAP Numpy

This function uses the SHAP library to visualize the SHAP values for a given model and data. It takes input features, target variable, model, and feature names as inputs and generates a visualization of the SHAP values.

The type of code 2024-12-16 12:18:00 34 views

TensorFlow NumPy

This code defines a function that creates a random tensor with a specified shape using TensorFlow and prints out the tensor's shape and statistical information.

The type of code 2024-12-16 12:17:55 26 views

The code

This code defines a function named `visualize_shap_values` that visualizes SHAP values for a given dataset and model. It first creates a SHAP explainer, then computes SHAP values, and visualizes these values using the `waterfall` method from the SHAP library. In the main function `main`, a random dataset is generated, a simple linear regression model is created, and the `visualize_shap_values` function is called to visualize the SHAP values of the model on the data.

The type of code 2024-12-16 12:17:40 39 views

Keras LSTM

This function creates a randomly configured LSTM model, including a random input layer shape, number of LSTM layers and neurons in each layer, as well as a random Dense layer.

The type of code 2024-12-16 12:17:30 14 views

Arcade Random

This function creates an Arcade window and randomly draws a shape (circle, square, triangle, or rectangle) inside it.

Game development 2024-12-16 12:17:22 15 views

SHAP library

This function uses the SHAP library to analyze the impact of each feature on the predictions of a given model. It visualizes the SHAP values for a subset of test data points.

The type of code 2024-12-16 12:16:41 16 views

Keras Numpy

This function creates a random neural network model based on Keras, which accepts input shape and number of classes as parameters and returns the compiled model.

Create a random neural network model 2024-12-16 12:16:26 16 views

The code

This code defines a function that uses the SHAP library to analyze the interpretability of a machine learning model. It accepts a trained model and input data, computes SHAP values, and visualizes them using waterfall plots.

The type of code 2024-12-16 12:16:05 13 views

The code

This code defines a function that detects random colored shapes in an image and uses OpenCV library features such as color space conversion, mask operations, and contour detection.

The type of code 2024-12-16 12:16:02 13 views