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teradata-labs AI Skills

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浏览 teradata-labs 维护的已发布 AI 技能,比较用途与说明,并通过来源仓库了解安装方式。

作者统计

已收录技能

63

收录技能的仓库 Stars 合计

378

仓库 Forks

0

平均每个技能的仓库 Stars

6

同一仓库中的多个技能可能共享 Stars,合计包含重复仓库数据。

63 个技能

全部技能

GitHub

td-ifft

teradata-labs

Inverse Fast Fourier Transform for time domain reconstruction

GitHub

td-acf

teradata-labs

Auto-correlation analysis for time series dependency and pattern detection

GitHub

td-svm

teradata-labs

Support Vector Machine for linear and non-linear classification

GitHub

td-data-profiling

teradata-labs

Comprehensive data profiling and quality assessment using Teradata ClearScape Analytics descriptive statistics functions

GitHub

monitor-workloads

teradata-labs

Monitor workload definitions, distribution, and TASM statistics using real-time resources to understand classification effectiveness and workload performance

GitHub

td-glm

teradata-labs

Comprehensive Generalized Linear Model analytics for regression and classification

GitHub

control-sessions

teradata-labs

Control active sessions by terminating problematic sessions, managing runaway queries, and handling blocking situations

默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。