veox 0.1.7

A package for remote model training and prediction

Veox Client Veox Client is a Python package that provides a client for interacting with the Veox remote machine learning service. It offers an sklearn-like API for easy integration into your existing machine learning workflows. Installation You can install Veox Client using pip: Copypip install veox Usage Here's a basic example of how to use Veox Client: pythonCopyimport veox as v import numpy as np from sklearn.datasets import make_classification from sklearn.model_selection import train_test_split

Generate a sample dataset

X, y = make_classification(n_samples=1000, n_features=20, n_classes=2, random_state=42) X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)

Initialize the remote model

model = v.init(key="YOUR_API_KEY", server_url="http://your-server-url:5000")

Train the model

model.fit(X_train, y_train)

Make predictions

y_pred = model.predict(X_test)

Get prediction probabilities

y_prob = model.predict_proba(X_test)

Calculate accuracy

accuracy = np.mean(y_pred == y_test) print(f"Accuracy: {accuracy:.4f}") Note This package requires access to a running Veox server. Contact your system administrator or the Veox team for server access and API keys. License This project is licensed under the MIT License - see the LICENSE file for details.