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td-hierarchical-clustering
Hierarchical clustering for nested data grouping
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td-data-preparation
UAF-specific data preparation and validation for time series analysis
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monitor-queries
Track query execution using real-time resources, analyze query bands, access query logs, and identify performance patterns across the Teradata system
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td-window
Signal windowing for spectral analysis and leakage reduction
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td-onehot-encoding
Categorical variable encoding using TD_OneHotEncodingFit and Transform
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td-cross-validation
Time series specific cross-validation techniques for model validation
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td-linear-regression
Linear regression analysis for continuous target prediction
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manage-queues
Manage delayed request queues including workload, system, and utility queues to release blocked requests or abort unnecessary items
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td-simple-impute
Missing value imputation using TD_SimpleImputeFit
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td-tfidf
Term Frequency-Inverse Document Frequency for text analysis
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optimize-throttles
Analyze throttle behavior, recommend optimal configurations, and autonomously create/modify throttles to balance resource allocation and meet performance SLAs
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td-fft
Fast Fourier Transform for frequency domain analysis and spectral decomposition
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manage-workloads
**Autonomously create** filters, throttles, and classification rules to implement new workloads or manage workload lifecycle in response to changing operational needs
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td-npath
Path analysis for sequential event patterns
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td-movavg-forecast
Moving average based forecasting for smoothed predictions
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td-resample
Signal resampling and interpolation for rate conversion
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td-pacf
Partial auto-correlation analysis for direct lag relationships
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td-arima
ARIMA modeling for time series forecasting
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td-naive-bayes
Naive Bayes classifier for probabilistic classification
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td-kmeans
K-means clustering for customer segmentation and data grouping
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td-decision-tree
Decision tree classifier for categorical prediction and rule extraction
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td-convolution
Convolution operations for signal processing and filtering
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td-outlier-detection
Outlier detection and handling using TD_OutlierFit
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td-diff
Time series differencing for stationarity and trend removal
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