Define the new internet.
Look up the words people use online, add the ones we missed, and help make the internet easier to understand.
Look up the words people use online, add the ones we missed, and help make the internet easier to understand.
2,337 definitions
Borrador de traduccion automatica (Spanish) for "Pipeline Data Split": Pipeline Data Split is a ml experimental control that separates examples for training, validation, and testing for automated data and model workflow. It uses randomization rules, leakage checks, and seed tracking so teams can measure generalization honestly while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The machine learning team used Pipeline Data Split when the pipeline missed a validation step, so the team could measure generalization honestly before the model moved into evaluation.”
Borrador de traduccion automatica (Spanish) for "CD Build Gate": CD Build Gate is a devops quality gate that blocks promotion when required checks fail for deployment automation and promotion. It uses tests, lint, security scans, and policy rules so teams can prevent broken releases while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The DevOps team used CD Build Gate when the release moved toward production, so the team could prevent broken releases before the deployment window opened.”
Borrador de traduccion automatica (Spanish) for "Rollback Rollback Plan": Rollback Rollback Plan is a devops recovery plan that defines how to return to a known good version for recovery from a bad deployment. It uses version pins, database notes, and operator steps so teams can recover quickly from bad changes while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The DevOps team used Rollback Rollback Plan when the error budget started burning, so the team could recover quickly from bad changes before the deployment window opened.”
Borrador de traduccion automatica (Spanish) for "Canary Artifact Signature": Canary Artifact Signature is a devops supply-chain record that proves that an artifact came from an expected build path for small-scope production rollout. It uses cryptographic signatures, provenance, and verification so teams can trust deployed packages while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The DevOps team used Canary Artifact Signature when the first traffic slice received the build, so the team could trust deployed packages before the deployment window opened.”
Borrador de traduccion automatica (Spanish) for "Canary Rollback Plan": Canary Rollback Plan is a devops recovery plan that defines how to return to a known good version for small-scope production rollout. It uses version pins, database notes, and operator steps so teams can recover quickly from bad changes while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The DevOps team used Canary Rollback Plan when the first traffic slice received the build, so the team could recover quickly from bad changes before the deployment window opened.”
Borrador de traduccion automatica (Spanish) for "Pipeline Hyperparameter Sweep": Pipeline Hyperparameter Sweep is a ml optimization process that searches over model settings to improve a target metric for automated data and model workflow. It uses bounded search spaces, trial tracking, and early stopping so teams can find better configurations while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The machine learning team used Pipeline Hyperparameter Sweep when the pipeline missed a validation step, so the team could find better configurations before the model moved into evaluation.”
Borrador de traduccion automatica (Spanish) for "Rollback Release Manifest": Rollback Release Manifest is a devops delivery record that lists versions, artifacts, routes, and checks for a release for recovery from a bad deployment. It uses commit IDs, checksums, and deployment URLs so teams can make releases auditable while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The DevOps team used Rollback Release Manifest when the error budget started burning, so the team could make releases auditable before the deployment window opened.”
Borrador de traduccion automatica (Spanish) for "CI Artifact Signature": CI Artifact Signature is a devops supply-chain record that proves that an artifact came from an expected build path for continuous integration workflows. It uses cryptographic signatures, provenance, and verification so teams can trust deployed packages while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The DevOps team used CI Artifact Signature when a pull request entered the build queue, so the team could trust deployed packages before the deployment window opened.”
Borrador de traduccion automatica (Spanish) for "Metric Calibration Curve": Metric Calibration Curve is a ml diagnostic that compares predicted confidence with observed outcomes for measurement of model behavior. It uses bucketed predictions, reliability diagrams, and threshold analysis so teams can make confidence scores useful while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The machine learning team used Metric Calibration Curve when the metric changed after data cleanup, so the team could make confidence scores useful before the model moved into evaluation.”
Borrador de traduccion automatica (Spanish) for "Pipeline Embedding Refresh": Pipeline Embedding Refresh is a ml index workflow that updates vector representations after source data changes for automated data and model workflow. It uses batch jobs, backfills, and index validation so teams can keep retrieval results current while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The machine learning team used Pipeline Embedding Refresh when the pipeline missed a validation step, so the team could keep retrieval results current before the model moved into evaluation.”