Prometheus_client random This function uses Prometheus' Histogram to record a sample with a random value. It first creates a Histogram with specific labels, then generates a random value and records a sample with that value. Prometheus Metrics 2024-12-16 12:17:55 30 views
spaCy This function creates a text classifier using the spaCy library. It takes in texts and their corresponding labels, and then trains a classifier to predict the category of the texts. Text classifier creation 2024-12-16 12:17:52 26 views
XGBoost This function uses an XGBoost model to predict the species of iris flowers based on given features and returns the predicted species labels. Prediction function 2024-12-16 12:17:41 15 views
PyQt5 This function creates a simple PyQt5 window with a label that displays the given text. PyQt5 application 2024-12-16 12:17:31 24 views
prometheus_client random This function uses the Prometheus third-party library to generate a random Prometheus metric series. It randomly selects a label pair from the provided list of label pairs, and uses this label pair and the specified value to create a full metric name. Then, it creates a counter metric and increments it by the specified value. Finally, it generates the metric in Prometheus text format. Prometheus indicator generating function 2024-12-16 12:17:18 14 views
matplotlib library; This function generates a random line plot using the matplotlib library. It allows for customizing the x-axis and y-axis labels, title, and legend labels. The type of code 2024-12-16 12:17:17 14 views
wxPython This code creates a simple wxPython application with a frame and a button. When the button is clicked, it randomly performs one of two actions: displaying a message box or changing the button label. wxPython GUI Application 2024-12-16 12:17:03 17 views
Plotly (plotly.graph_objects) This function creates a scatter plot using Plotly, where the x-axis and y-axis data are passed as arguments, and the y-axis data is randomly generated. Each point in the chart is accompanied by a text label. Plotly chart 2024-12-16 12:17:02 15 views
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
