GitHub
optimize-throttles
Analyze throttle behavior, recommend optimal configurations, and autonomously create/modify throttles to balance resource allocation and meet performance SLAs
Skills IA Données et IA
Découvrez les skills Données et IA, comparez leurs dépôts et consultez leurs instructions.
Catégories: Données et IA
Données et IA Effacer les filtres
Explorer
GitHub
td-fft
Fast Fourier Transform for frequency domain analysis and spectral decomposition
GitHub
manage-workloads
**Autonomously create** filters, throttles, and classification rules to implement new workloads or manage workload lifecycle in response to changing operational needs
GitHub
td-npath
Path analysis for sequential event patterns
GitHub
td-movavg-forecast
Moving average based forecasting for smoothed predictions
GitHub
td-resample
Signal resampling and interpolation for rate conversion
GitHub
td-pacf
Partial auto-correlation analysis for direct lag relationships
GitHub
td-arima
ARIMA modeling for time series forecasting
GitHub
td-naive-bayes
Naive Bayes classifier for probabilistic classification
GitHub
td-kmeans
K-means clustering for customer segmentation and data grouping
GitHub
td-decision-tree
Decision tree classifier for categorical prediction and rule extraction
GitHub
td-convolution
Convolution operations for signal processing and filtering
GitHub
td-outlier-detection
Outlier detection and handling using TD_OutlierFit
GitHub
td-diff
Time series differencing for stationarity and trend removal
GitHub
td-filter
Digital filtering for noise reduction and signal enhancement
GitHub
td-correlation
Signal correlation analysis for similarity and delay detection
GitHub
td-arimaestimate
ARIMA parameter estimation for seasonal and non-seasonal AR, MA, ARMA, and ARIMA models
GitHub
monitor-sessions
Monitor active Teradata sessions using real-time resources, view SQL execution details, identify blocking issues, and optionally take control actions
GitHub
analyze-performance
Analyze system performance using throttle statistics, query logs, and resource metrics to identify bottlenecks and optimization opportunities
GitHub
td-decision-forest
Decision forest ensemble classifier for robust predictions
GitHub
td-portman
Ljung-Box portmanteau tests for model diagnostics and residual analysis
GitHub
td-logistic-regression
Logistic regression for binary and multinomial classification
GitHub
td-classification-evaluator
Classification model evaluation and metrics calculation
GitHub
td-random-forest
Random forest ensemble classifier for high-accuracy classification
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.