The metrics of general relativity generally fall into two categories: Those which are solutions of the Einstein equations for a given source energy-momentum tensor, and the "reverse engineered" metrics -- metrics bespoke for a certain purpose. Their...
A thin façade around Coda Hale's metrics library. (⭐ 347)
Go port of Coda Hale's Metrics library (⭐ 3472)
The author is planning if possible classify all three-dimensional $(κ,μ)$-manifolds wether contact metric, almost cosymplectic, para-contact metric, almost para-cosymplectic. Of course classification in contact or almost cosymplectic cases already...
Behavioural metrics have been shown to be an effective mechanism for constructing representations in reinforcement learning. We present a novel perspective on behavioural metrics for Markov decision processes via the use of positive definite kernels....
Scalable and efficient source of container resource metrics for Kubernetes built-in autoscaling pipelines. (⭐ 6562)
Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave (⭐ 1655)
Apr 3, 2025 · What are Metrics? Metrics are numbers that tell you important information about a process under question. They tell you accurate measurements about how the process is functioning …
:chart_with_upwards_trend: Capturing JVM- and application-level metrics. So you know what's going on. (⭐ 7855)
We study algebraic and geometric properties of metric spaces endowed with dilatation structures, which are emergent during the passage through smaller and smaller scales. In the limit we obtain a generalization of metric affine geometry, endowed wi...
Suppose that a metric space $X$ is the union of two metric subspaces $A$ and $B$ that embed into Euclidean space with distortions $D_A$ and $D_B$, respectively. We prove that then $X$ embeds into Euclidean space with a bounded distortion (namely, wit...
This paper proposes a new metric for software functional size, which is derived from Function Point Analysis (FPA), but overcomes some of its known defi- ciencies. The statistical results show that the new metric, Functional Elements (EF), and its su...
The Sasaki metric is a natural choice of Riemannian metric on the tangent bundle of a Riemannian manifold. Introduced by Shigeo Sasaki in 1958. Let ( M
WWe define the notion of a random metric space and prove that with probability one such a space is isometricto the Urysohn universal metric space. The main technique is the study of universal and random distance matrices; we relate the properties o...
We study ratio metrics in A/B testing at the presence of correlation among observations coming from the same user and provides practical guidance especially when two metrics contradict each other. We propose new estimating methods to quantitatively m...
We introduce the Geography and Election Outcome (GEO) metric, a new method for identifying potential partisan gerrymanders. In contrast with currently popular methods, the GEO metric uses both geographic information about a districting plan as well a...
Command line application to create weekly reports (containing stats, metrics, and rankings) for Fantasy Football leagues on the following platforms: Yahoo, ESPN, CBS, Sleeper, Fleaflicker (⭐ 223)
The goal of privacy metrics is to measure the degree of privacy enjoyed by users in a system and the amount of protection offered by privacy-enhancing technologies. In this way, privacy metrics contribute to improving user privacy in the digital worl...
We prove that in a complete metric space $X$, $1$-rectifiability of a set $E\subset X$ with $\mathcal{H}^1(E)<\infty$ and positive lower density $\mathcal{H}^1$-a.e. is implied by the property that all tangent spaces are connected metric spaces....
2 days ago · Copilot usage metrics now includes plan mode telemetry. Enterprises can track adoption and engagement trends for plan mode alongside existing Copilot metrics, enabling a more complete …