We use the module peak-engines to fit monotonic transformations to data — Ordinary Least Squares (OLS) fits a linear regression model to a dataset so as to maximize likelihood under the assumption that errors are normally distributed. Normality can come about naturally when error terms break down into sums of independent identically distributed components, but for many problems the assumption is unrealistic.

Use an optimizer to find the best performing regularization matrix — Let X and y represent a sample of training data where X is a matrix with n rows of feature vectors and y is a vector of n corresponding target values. If 𝐱′ is an out-of-sample feature vector with unknown target value y′, then we might fit a linear model…

Allocating memory from the stack in C++ is blazingly fast, but also restrictive. It costs only a few arithmetic operations but The allocation cannot persist beyond its function’s scope. The allocation must be small enough in size that it fits into the program’s stack. If we’re unsure, we run the…

OpenTracing now provides an API to trace code written in Lua. Given Lua’s easy interoperability with C and C++, OpenTracing also provides a bridge tracer that implements the API on top of the OpenTracing C++ API, allowing you to immediately use existing tracers from Jaeger, LightStep, DataDog, Zipkin, or any…

NGINX is a versatile and popular application. Perhaps best known as a web server, it can be used to serve static file content but is also commonly used together with other services as a component in a distributed system where it functions as a reverse proxy, load balancer, or API…

OpenTracing’s APIs provide a portable mechanism to instrument software for distributed tracing. The same code can be reused with any tracing vendor providing implementations of the OpenTracing APIs. The APIs cover the creation of traces, spans, and the propagation of span context across processes; but one area that has required…