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Overview

  • Getting Started
  • Contributing
  • About

User Guides

  • Supervisor User Guide
  • Credibility User Guide
  • Thresholding User Guide
  • Interprenet User Guide
  • Sobol User Guide
  • Bias-Variance User Guide

Divergence Tutorials

  • Airlines Dataset: Divergence Applications
  • Notes on Using Divergence Functions
  • Handling Categorical Data
  • Dataset Bug Detection
  • Training Dataset Drift Detection

Credibility Tutorials

  • Assessing Credibility From Sample Size

Thresholding Tutorials

  • Introduction to Adaptive Thresholding

Interprenet Tutorials

  • Introduction to Interprenet

Bias and Metrics Tutorials

  • Countering Sample Bias

Bias-Variance Decomposition Tutorials

  • Bias-Variance Decomposition for Classification Problems
  • Bias-Variance Decomposition for Regression Problems
  • Bias-Variance Visualizations

Python API

  • supervisor
    • Subpackages
      • divergence
      • processing
      • utils
  • credibility
  • thresholding
  • interprenet
  • sobol
  • metrics
  • bias_variance
Model Validation Toolkit
  • supervisor
  • View page source

supervisor

Subpackages

  • divergence
    • Approximator()
    • NormalizedLinear()
    • arrayify()
    • average_histograms()
    • balanced_binary_cross_entropy()
    • cal_div_knn()
    • calc_div_variational()
    • calc_em()
    • calc_hl()
    • calc_hl_density()
    • calc_hl_mle()
    • calc_js()
    • calc_js_density()
    • calc_js_mle()
    • calc_kl_density()
    • calc_kl_mle()
    • calc_mle()
    • calc_tv()
    • calc_tv_density()
    • calc_tv_knn()
    • calc_tv_lower_bound()
    • calc_tv_mle()
    • cat_histograms()
    • fdiv_data_stream()
    • fdiv_loss()
    • get_density_estimators()
    • get_distance_matrix()
    • get_drift_series()
    • histogram()
    • ipm_loss()
    • js_data_stream()
    • metric_from_density()
    • sparse_wrapper()
  • processing
    • normalize_ts_column()
    • normalize_ts_columns()
    • replace_nulls()
  • utils
    • column_indexes()
    • compute_divergence_crosstabs()
    • compute_divergence_crosstabs_split()
    • parallel()
    • plot_divergence_crosstabs_3d()
    • split()
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