XGBoost

What is XGBoost?

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow

XGBoost is a tool in the Development & Training Tools category of a tech stack.

Key Features

FlexiblePortableMultiple LanguagesBattle-tested

XGBoost Pros & Cons

Pros of XGBoost

No pros listed yet.

Cons of XGBoost

No cons listed yet.

XGBoost Integrations

Python, C++, Java, Scala, Julia and 6 more are some of the popular tools that integrate with XGBoost. Here's a list of all 11 tools that integrate with XGBoost.

XGBoost Alternatives & Comparisons

What are some alternatives to XGBoost?

TensorFlow

TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.

PyTorch

PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.

scikit-learn

scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.

Keras

XGBoost Integrations

Python, C++, Java, Scala, Julia and 6 more are some of the popular tools that integrate with XGBoost. Here's a list of all 11 tools that integrate with XGBoost.