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datapilot-cli

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Enterprise-grade streaming multi-format data analysis with comprehensive statistical insights and intelligent relationship detection - supports CSV, JSON, Excel, TSV, Parquet - memory-efficient, cross-platform

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/** * Residual Analysis Engine for Regression Models * Provides comprehensive residual diagnostics and assumption validation */ import type { ModelingTask, AlgorithmRecommendation, ResidualAnalysis } from './types'; import type { CorrelationPair } from '../eda/types'; export declare class ResidualAnalyzer { /** * Generate comprehensive residual analysis for regression models */ generateResidualAnalysis(regressionTasks: ModelingTask[], algorithms: AlgorithmRecommendation[], correlationPairs?: CorrelationPair[]): Promise<ResidualAnalysis>; /** * Generate residual diagnostic plots and interpretations */ private generateResidualDiagnostics; /** * Generate normality tests for residuals */ private generateNormalityTests; /** * Generate heteroscedasticity tests */ private generateHeteroscedasticityTests; /** * Generate autocorrelation tests */ private generateAutocorrelationTests; /** * Generate outlier analysis */ private generateOutlierAnalysis; /** * Generate model assumptions assessment */ private generateModelAssumptions; /** * Calculate Variance Inflation Factors (VIF) from correlation data */ private calculateVIF; /** * Generate improvement suggestions */ private generateImprovementSuggestions; private generateCurrentAssessment; } //# sourceMappingURL=residual-analyzer.d.ts.map