A reference from Weave

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Understand the metrics, models, and methods behind modern engineering. Clear definitions, practical examples, and a closer look at what the numbers actually mean.

Terms beginning with M

128 terms

  • Metric Distribution

    Metric Distribution is an analytical concept that helps describe, summarize, or interpret engineering evidence under a stated measurement design.

    Engineering analytics

  • Metric drift

    Metric drift describes changed metric behavior or interpretation after process or data change.

    Engineering analytics

  • Metric gaming

    Metric gaming is an analytical risk or quality concern that can make an engineering analysis appear more certain, comparable, or causal than it is.

    Engineering analytics

  • Metric Granularity

    Metric Granularity is an analytical concept that helps describe, summarize, or interpret engineering evidence under a stated measurement design.

    Engineering analytics

  • Metric histogram

    Metric histogram is a distribution representation that records observations in buckets or equivalent aggregates.

    Reliability and observability

  • Metric interpretation

    Metric interpretation how to interpret an engineering metric without overclaiming.

    Engineering analytics

  • Metric layer

    Metric layer centralizes formulas, dimensions, filters, and metadata.

    Engineering analytics

  • Metric mean

    Metric mean is an analytical concept that helps describe, summarize, or interpret engineering evidence under a stated measurement design.

    Engineering analytics

  • Metric Median

    Metric Median is an analytical concept that helps describe, summarize, or interpret engineering evidence under a stated measurement design.

    Engineering analytics

  • Metric missingness

    Metric missingness is an analytical risk or quality concern that can make an engineering analysis appear more certain, comparable, or causal than it is.

    Engineering analytics

  • Metric Normalization

    Metric Normalization is an analytical concept that helps describe, summarize, or interpret engineering evidence under a stated measurement design.

    Engineering analytics

  • Metric ownership

    Metric ownership who is accountable for an engineering metric.

    Engineering analytics

  • Metric Percentile

    Metric Percentile is an analytical concept that helps describe, summarize, or interpret engineering evidence under a stated measurement design.

    Engineering analytics

  • Metric Rate

    Metric Rate is an analytical concept that helps describe, summarize, or interpret engineering evidence under a stated measurement design.

    Engineering analytics

  • Metric Ratio

    Metric Ratio is an analytical concept that helps describe, summarize, or interpret engineering evidence under a stated measurement design.

    Engineering analytics

  • Metric review

    Metric review examines a measure's definition, quality, usefulness, and effects over time.

    Engineering analytics

  • Metric rolling average

    Metric rolling average is an analytical concept that helps describe, summarize, or interpret engineering evidence under a stated measurement design.

    Engineering analytics

  • Metric Seasonality

    Metric Seasonality is an analytical concept that helps describe, summarize, or interpret engineering evidence under a stated measurement design.

    Engineering analytics

  • Metric Segmentation

    Metric Segmentation is an analytical concept for separating engineering observations into populations whose differences may matter to a decision.

    Engineering analytics

  • Metric Sensitivity

    Metric Sensitivity is an analytical concept that helps describe, summarize, or interpret engineering evidence under a stated measurement design.

    Engineering analytics

  • Metric signal

    Metric signal is a numeric observation recorded over time, often aggregated by service, route, region, or status.

    Reliability and observability

  • Metric specification

    Metric specification acts as a precise contract for a calculation.

    Engineering analytics

  • Metric stability

    Metric stability is a statistical or measurement concept used to describe, compare, or interpret engineering data. Its meaning depends on the unit of analysis, data-generating process, and question being asked.

    Measurement and experimentation

  • Metric taxonomy

    Metric taxonomy organizes measures by purpose and decision level.

    Engineering analytics

  • Metric tree

    Metric tree links a high-level outcome to supporting drivers.

    Engineering analytics

  • Metric Trend

    Metric Trend is an analytical concept that helps describe, summarize, or interpret engineering evidence under a stated measurement design.

    Engineering analytics

  • Metric validity

    Metric validity is a statistical or measurement concept used to describe, compare, or interpret engineering data. Its meaning depends on the unit of analysis, data-generating process, and question being asked.

    Measurement and experimentation

  • Metric Variance

    Metric Variance is an analytical concept that helps describe, summarize, or interpret engineering evidence under a stated measurement design.

    Engineering analytics

  • Metric versioning

    Metric versioning why metric definitions need explicit versions.

    Engineering analytics

  • Metric Volatility

    Metric Volatility is an analytical concept that helps describe, summarize, or interpret engineering evidence under a stated measurement design.

    Engineering analytics

  • Metric Window

    Metric Window is an analytical concept that helps describe, summarize, or interpret engineering evidence under a stated measurement design.

    Engineering analytics

  • Microbatching

    Microbatching is the serving concept concerned with microbatching during AI inference.

    Inference performance

  • Migration plan

    Migration plan is a software maintenance concern describing a condition that can make future changes, verification, operation, or ownership harder. Its practical importance depends on supported behavior, rate of change, and the consequences of delay.

    Code quality and technical debt

  • Milestone

    Milestone is a concept used in software delivery planning to describe a condition, relationship, estimate, or decision about engineering work.

    Flow and capacity planning

  • Milestone risk

    Milestone risk is a concept used in software delivery planning to describe a condition, relationship, estimate, or decision about engineering work.

    Flow and capacity planning

  • Minimum generation length

    Minimum generation length is a language-model concept about instruction design and control. It names a mechanism, representation, prompting pattern, decoding control, or context behavior that can change how an AI system processes input and produces output.

    LLM fundamentals

  • Missing at random

    Missing at random is a statistical or measurement concept used to describe, compare, or interpret engineering data. Its meaning depends on the unit of analysis, data-generating process, and question being asked.

    Measurement and experimentation

  • Missing completely at random

    Missing completely at random is a statistical or measurement concept used to describe, compare, or interpret engineering data. Its meaning depends on the unit of analysis, data-generating process, and question being asked.

    Measurement and experimentation

  • Missing data

    Missing data describes absent values or records that affect an analysis.

    Engineering analytics

  • Missing not at random

    Missing not at random is a statistical or measurement concept used to describe, compare, or interpret engineering data. Its meaning depends on the unit of analysis, data-generating process, and question being asked.

    Measurement and experimentation

  • Mixed precision inference

    Mixed precision inference is the serving concept concerned with mixed precision inference during AI inference.

    Inference performance

  • Mixed precision training

    Mixed precision training is a language-model concept about serving behavior and operational tradeoffs. It names a mechanism, representation, training practice, or operational behavior that can change how an AI system processes input and produces output.

    LLM fundamentals

  • Mob programming

    Mob programming is a way to organize, support, or evaluate software work so that teams can make useful progress with less avoidable friction. It is most valuable when connected to a concrete outcome and the local conditions of the team using it.

    Developer productivity

  • Modality routing

    Modality routing is a model-routing or gateway concept used to manage traffic selection for AI requests. It describes a distinct decision, control, interface, or observation point between an application and one or more model providers.

    Model routing and gateways

  • Mode

    Mode is a statistical or measurement concept used to describe, compare, or interpret engineering data. Its meaning depends on the unit of analysis, data-generating process, and question being asked.

    Measurement and experimentation

  • Model allowlist

    Model allowlist is a model-routing or gateway concept used to manage policy enforcement for AI requests. It describes a distinct decision, control, interface, or observation point between an application and one or more model providers.

    Model routing and gateways

  • Model capability matrix

    Model capability matrix is a model-routing or gateway concept used to manage operational visibility for AI requests. It describes a distinct decision, control, interface, or observation point between an application and one or more model providers.

    Model routing and gateways

  • Model Context Protocol

    Model Context Protocol, or MCP, is an open protocol for connecting AI applications with external tools, resources, and prompts through a standardized interface. It gives clients and servers a common way to describe and invoke capabilities.

    AI coding and agents

  • Model denylist

    Model denylist is a model-routing or gateway concept used to manage policy enforcement for AI requests. It describes a distinct decision, control, interface, or observation point between an application and one or more model providers.

    Model routing and gateways

  • Model fallback

    Model fallback is the use of an alternate model or provider when the preferred route cannot handle a request or fails a defined condition. A fallback policy can respond to outages, rate limits, unsupported capabilities, timeouts, or application-level checks.

    Model routing and gateways