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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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td-filter
Digital filtering for noise reduction and signal enhancement
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td-correlation
Signal correlation analysis for similarity and delay detection
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td-arimaestimate
ARIMA parameter estimation for seasonal and non-seasonal AR, MA, ARMA, and ARIMA models
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monitor-sessions
Monitor active Teradata sessions using real-time resources, view SQL execution details, identify blocking issues, and optionally take control actions
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analyze-performance
Analyze system performance using throttle statistics, query logs, and resource metrics to identify bottlenecks and optimization opportunities
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td-decision-forest
Decision forest ensemble classifier for robust predictions
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td-portman
Ljung-Box portmanteau tests for model diagnostics and residual analysis
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td-logistic-regression
Logistic regression for binary and multinomial classification
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td-classification-evaluator
Classification model evaluation and metrics calculation
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td-random-forest
Random forest ensemble classifier for high-accuracy classification
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td-parameter-estimation
Advanced parameter estimation and optimization for UAF models
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td-stationarity-test
Statistical tests for time series stationarity (ADF, KPSS, PP tests)
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td-sessionize
Session analysis and user journey tracking
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monitor-resources
Monitor AMP processor load, system physical resources, and capacity using real-time resources to track system health and identify performance bottlenecks
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tune-workloads
Analyze workload classification and **autonomously configure** classification rules, filters, and priorities to improve accuracy and meet business requirements
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td-dfft
Fourier transformation for frequency domain analysis
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td-powerspec
Power spectrum analysis for frequency domain insights and periodicity detection
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td-change-point
Change point detection in time series for structural breaks
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