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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
  • credibility
  • thresholding
  • interprenet
  • sobol
  • metrics
  • bias_variance
    • Subpackages
      • estimators
      • bias_variance
      • bias_variance_parallel
Model Validation Toolkit
  • bias_variance
  • View page source

bias_variance

Subpackages

  • estimators
    • EstimatorWrapper
      • EstimatorWrapper.fit()
      • EstimatorWrapper.predict()
    • PyTorchEstimatorWrapper
      • PyTorchEstimatorWrapper.__init__()
      • PyTorchEstimatorWrapper.fit()
      • PyTorchEstimatorWrapper.predict()
    • SciKitLearnEstimatorWrapper
      • SciKitLearnEstimatorWrapper.__init__()
      • SciKitLearnEstimatorWrapper.fit()
      • SciKitLearnEstimatorWrapper.predict()
    • TensorFlowEstimatorWrapper
      • TensorFlowEstimatorWrapper.__init__()
      • TensorFlowEstimatorWrapper.fit()
      • TensorFlowEstimatorWrapper.predict()
  • bias_variance
    • bias_variance_0_1_loss()
    • bias_variance_compute()
    • bias_variance_mse()
    • bootstrap_train_and_predict()
    • get_values()
    • train_and_predict()
  • bias_variance_parallel
    • bias_variance_compute_parallel()
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