Archives for Python toolkit

28 Mar

Guide To PyOD: A Python Toolkit For Outlier Detection

image-21271
image-21271

PyOD is a flexible and scalable toolkit designed for detecting outliers or anomalies in multivariate data; hence the name PyOD (Python Outlier Detection). It was introduced by Yue Zhao, Zain Nasrullah and Zeng Li in May 2019 (JMLR (Journal of Machine learning) paper). Before going into the details of PyOD, let us understand in brief…

The post Guide To PyOD: A Python Toolkit For Outlier Detection appeared first on Analytics India Magazine.

22 Feb

Hands-On to CompilerGym: A Reinforcement Learning Toolkit for Compiler Optimizations

image-20185
image-20185

CompilerGym is a python toolkit by Facebook. It is a reinforcement learning package for compiler optimization problems. This framework’s motivation is that compilers’ decisions are very risky performance-wise and have to be efficient for the required software. Applying AI to optimize the compiler is growing these days. However, due to the compiler’s dynamic nature, it…

The post Hands-On to CompilerGym: A Reinforcement Learning Toolkit for Compiler Optimizations appeared first on Analytics India Magazine.

22 Feb

Hands-On to CompilerGym: A Reinforcement Learning Toolkit for Compiler Optimizations

image-20187
image-20187

CompilerGym is a python toolkit by Facebook. It is a reinforcement learning package for compiler optimization problems. This framework’s motivation is that compilers’ decisions are very risky performance-wise and have to be efficient for the required software. Applying AI to optimize the compiler is growing these days. However, due to the compiler’s dynamic nature, it…

The post Hands-On to CompilerGym: A Reinforcement Learning Toolkit for Compiler Optimizations appeared first on Analytics India Magazine.

22 Feb

Hands-On to CompilerGym: A Reinforcement Learning Toolkit for Compiler Optimizations

image-20188
image-20188

CompilerGym is a python toolkit by Facebook. It is a reinforcement learning package for compiler optimization problems. This framework’s motivation is that compilers’ decisions are very risky performance-wise and have to be efficient for the required software. Applying AI to optimize the compiler is growing these days. However, due to the compiler’s dynamic nature, it…

The post Hands-On to CompilerGym: A Reinforcement Learning Toolkit for Compiler Optimizations appeared first on Analytics India Magazine.