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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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td-attribution
Marketing attribution modeling and analysis
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td-column-transformer
Advanced column transformation and feature engineering
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GitHub
td-scale-fit
Data scaling and normalization using TD_ScaleFit and TD_ScaleTransform
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GitHub
td-ifft
Inverse Fast Fourier Transform for time domain reconstruction
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GitHub
td-seasonal-decompose
Seasonal pattern decomposition and analysis
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td-acf
Auto-correlation analysis for time series dependency and pattern detection
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td-arima-forecast
ARIMA-based time series forecasting for trend and seasonal predictions
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GitHub
td-detrend
Signal detrending for baseline correction and trend removal
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GitHub
td-regression-evaluator
Comprehensive regression model evaluation using TD_RegressionEvaluator
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GitHub
td-svm
Support Vector Machine for linear and non-linear classification
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GitHub
td-vector-distance
Vector distance calculations for similarity analysis
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GitHub
td-data-profiling
Comprehensive data profiling and quality assessment using Teradata ClearScape Analytics descriptive statistics functions
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GitHub
monitor-workloads
Monitor workload definitions, distribution, and TASM statistics using real-time resources to understand classification effectiveness and workload performance
☆ 6查看技能
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