td-vector-distance
Vector distance calculations for similarity analysis
Teradata Word Embeddings
Word and document embeddings for text analytics
td-acf
Auto-correlation analysis for time series dependency and pattern detection
Teradata ANOVA
Analysis of variance for comparing group means
td-arima-forecast
ARIMA-based time series forecasting for trend and seasonal predictions
Teradata ONNX Model Scoring
Score data using ONNX models (Bring Your Own Model)
Teradata Ordinal Encoding Suite
Ordinal encoding for ordered categorical variables
td-outlier-detection
Outlier detection and handling using TD_OutlierFit
td-pacf
Partial auto-correlation analysis for direct lag relationships
Teradata PMML Model Scoring
Score data using PMML models (Bring Your Own Model)
td-portman
Ljung-Box portmanteau tests for model diagnostics and residual analysis
td-powerspec
Power spectrum analysis for frequency domain insights and periodicity detection
td-random-forest
Random forest ensemble classifier for high-accuracy classification
td-regression-evaluator
Comprehensive regression model evaluation using TD_RegressionEvaluator
td-resample
Signal resampling and interpolation for rate conversion
Teradata ROC Curve Analysis
ROC curve and AUC analysis for binary classification evaluation
td-scale-fit
Data scaling and normalization using TD_ScaleFit and TD_ScaleTransform
td-seasonal-decompose
Seasonal pattern decomposition and analysis
Teradata Sentiment Extraction
Sentiment analysis for text documents and sentences
td-sessionize
Session analysis and user journey tracking
Teradata SHAP Explainability
SHAP values for model explainability and feature importance
Teradata Silhouette Analysis
Silhouette coefficient for clustering quality evaluation
td-simple-impute
Missing value imputation using TD_SimpleImputeFit
td-smoothing
Signal smoothing and noise reduction techniques
Teradata SMOTE Oversampling
Synthetic Minority Oversampling for imbalanced datasets
td-stationarity-test
Statistical tests for time series stationarity (ADF, KPSS, PP tests)
td-svm
Support Vector Machine for linear and non-linear classification
td-train-test-split
Data splitting for model validation using TD_TrainTestSplit
analyze-performance
Analyze system performance using throttle statistics, query logs, and resource metrics to identify bottlenecks and optimization opportunities
optimize-throttles
Analyze throttle behavior, recommend optimal configurations, and autonomously create/modify throttles to balance resource allocation and meet performance SLAs
tune-workloads
Analyze workload classification and **autonomously configure** classification rules, filters, and priorities to improve accuracy and meet business requirements
monitor-workloads
Monitor workload definitions, distribution, and TASM statistics using real-time resources to understand classification effectiveness and workload performance
Teradata AutoARIMA
Automated ARIMA model selection and forecasting
td-convolution
Convolution operations for signal processing and filtering
monitor-sessions
Monitor active Teradata sessions using real-time resources, view SQL execution details, identify blocking issues, and optionally take control actions
Teradata XGBoost Analytics
XGBoost gradient boosting for classification and regression
Teradata Z-Test
Z-test for population mean comparison with known variance
manage-workloads
**Autonomously create** filters, throttles, and classification rules to implement new workloads or manage workload lifecycle in response to changing operational needs
td-classification-evaluator
Classification model evaluation and metrics calculation
td-column-transformer
Advanced column transformation and feature engineering
td-change-point
Change point detection in time series for structural breaks
manage-queues
Manage delayed request queues including workload, system, and utility queues to release blocked requests or abort unnecessary items
Teradata Chi-Square Test
Chi-square test of independence for categorical variables
control-sessions
Control active sessions by terminating problematic sessions, managing runaway queries, and handling blocking situations
td-attribution
Marketing attribution modeling and analysis
td-arimaestimate
ARIMA parameter estimation for seasonal and non-seasonal AR, MA, ARMA, and ARIMA models
monitor-resources
Monitor AMP processor load, system physical resources, and capacity using real-time resources to track system health and identify performance bottlenecks
monitor-queries
Track query execution using real-time resources, analyze query bands, access query logs, and identify performance patterns across the Teradata system
otel-monitoring-setup
Use PROACTIVELY when setting up OpenTelemetry monitoring for Claude Code usage tracking, cost analysis, or productivity metrics. Provides local PoC mode (full Docker stack with Grafana) and enterprise mode (centralized infrastructure). Configures telemetry collection, imports dashboards, and verifies data flow. Not for non-Claude telemetry or custom metric definitions.
mutation-testing
Use PROACTIVELY when checking if tests catch real bugs, assessing test suite quality, finding weak tests, or measuring mutation score. Validates test effectiveness beyond coverage metrics by introducing code mutations. Supports Stryker (JS/TS), PIT (Java), mutmut (Python). Not for projects without existing test suites.
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