prediction-intervals

There are 0 repository under prediction-intervals topic.

StatMixedML / XGBoostLSS
An extension of XGBoost to probabilistic modelling
distributional-regression gamlss machine-learning mixture-density-model multi-target-regression normalizing-flows prediction-intervals probabilistic-forecasts uncertainty-estimation xgboost
Language:Python 543
crepes
henrikbostrom / crepes
Conformal classifiers, regressors and predictive systems
machine-learning conformal-prediction conformal-regressors conformal-predictive-systems python jupyter-notebook confidence-intervals cumulative-distribution-function regression sklearn prediction-intervals uncertainty-quantification quantile-regression conformal-classifiers scikit-learn prediction-sets
Language:Python 384
StatMixedML / LightGBMLSS
An extension of LightGBM to probabilistic modelling
distributional-regression gamlss lightgbm machine-learning mixture-density-model normalizing-flows prediction-intervals probabilistic-forecasting uncertainty-estimation
Language:Python 260
yromano / cqr
Conformalized Quantile Regression
conformal-prediction quantile-regression deep-learning pytorch random-forest-regression prediction prediction-intervals fairness conformal-methods algorithmic-fairness random-forest
Language:Jupyter Notebook 236
zillow / quantile-forest
Quantile Regression Forests compatible with scikit-learn.
machine-learning prediction-intervals python quantile-regression quantile-regression-forests random-forest scikit-learn-api uncertainty-estimation
Language:Python 185
StatMixedML / CatBoostLSS
An extension of CatBoost to probabilistic modelling
catboost distributional-regression gamlss machine-learning prediction-intervals probabilistic-forecasts uncertainty-estimation
141
Conffusion
eliahuhorwitz / Conffusion
Official Implementation for the "Conffusion: Confidence Intervals for Diffusion Models" paper.
computer-vision conformal-prediction image-generation image-to-image inpainting quantile-regression super-resolution diffusion-models generative-model deep-learning prediction-intervals pytorch uncertainty-estimation uncertainty-quantification diffusion
Language:Python 133
FilippoMB / Ensemble-Conformalized-Quantile-Regression
Valid and adaptive prediction intervals for probabilistic time series forecasting
probabilistic-forecasting time-series-forecasting time-series-prediction uncertainty-quantification frequentist-statistics frequentistic-confidence-intervals recurrent-neural-networks quantile-regression conformal-prediction random-forest prediction-intervals ensemble-machine-learning
Language:Jupyter Notebook 80
radix-ai / conformal-tights
👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster
conformal-prediction machine-learning python quantile-regression scikit-learn prediction-intervals time-series-forecasting forecasting
Language:Python 79
saattrupdan / doubt
Bringing back uncertainty to machine learning.
uncertainty machine-learning prediction-intervals quantile-regression quantile-regression-forests confidence-intervals bootstrap
Language:Python 50
elisim / piven
Official implementation of the paper "PIVEN: A Deep Neural Network for Prediction Intervals with Specific Value Prediction" by Eli Simhayev, Gilad Katz and Lior Rokach.
deep-learning uncertainty-estimation regression tensorflow prediction-intervals
Language:Jupyter Notebook 36
nppackages / scpi
Prediction and inference procedures for synthetic control methods with multiple treated units and staggered adoption.
python r prediction-intervals stata synthetic-control
Language:R 29
salimamoukou / ACPI
Adaptive Conformal Prediction Intervals (ACPI) is a Python package that enhances the Predictive Intervals provided by the split conformal approach by employing a weighting strategy.
conformal-prediction uncertainty-quantification confidence-intervals conformal-regressors prediction-intervals
Language:Jupyter Notebook 23
godatadriven / piven
Prediction Intervals with specific value prediction
keras-tensorflow neural-network prediction-intervals uncertainty-quantification
Language:Python 17
lsorber / neo-ls-svm
Neo LS-SVM is a modern Least-Squares Support Vector Machine implementation
gaussian-processes kernel-methods kernel-ridge-regression machine-learning python support-vector-machines ls-svm conformal-prediction prediction-intervals
Language:Python 17
ndrearu / curve_fit_utils
**curve_fit_utils** is a Python module containing useful tools for curve fitting
data-science data-analysis statistical-analysis statistics regression fitting curve-fitting least-squares least-square-regression non-linear-regression chisquare confidence-intervals bootstrap-resampling jackknife bootstrap-method statistical-tests prediction-intervals prediction-band confidence-band
Language:Python 17
fmpr / DeepJMQR
Deep joint mean and quantile regression for spatio-temporal problems
deep-learning quantile-regression prediction-intervals spatio-temporal keras
Language:Jupyter Notebook 14
predict-idlab / cct-cmc
Implementation of Conformal Convolution T-learner (CCT) and Conformal Monte Carlo (CMC) learner
causal-inference conformal-prediction conformal-predictive-systems conformal-predictors heterogeneous-treatment-effects individual-treatment-effects prediction-intervals weighted-conformal-predictive-systems
Language:Jupyter Notebook 13
NISL-MSU / PredictionIntervals
DualAQD: Dual Accuracy-quality-driven Prediction Intervals
neural-networks prediction-intervals regression-models uncertainty-estimation uncertainty-quantification
Language:Jupyter Notebook 8
richardangell / pitci
Prediction intervals for trees using conformal intervals. Docs at https://pitci.readthedocs.io/en/latest/
prediction-intervals conformal-prediction conformal-intervals xgboost lightgbm confidence
Language:Python 8
yromano / fair_dummies
implementation of fair dummies
conditional-independence equalized-odds fairness fairness-assessment fairness-awareness-model fairness-ml fairness-testing multiclass-classification neural-network prediction-intervals regression
Language:Jupyter Notebook 3
NeuraXenetica / comport_ai
An HR predictive analytics tool for forecasting the likely range of a worker’s future job performance using multiple ANNs with custom loss functions.
artificial-intelligence artificial-neural-networks custom-loss-functions hrm human-resources loss-function loss-functions machine-learning modelling prediction-interval prediction-intervals predictive-analytics prescriptive-analytics python
Language:Python 2
yongsukyee / uncertain_blackholemass
Uncertainty quantification of black hole mass estimation
agn black-hole conformal-prediction neural-networks prediction prediction-intervals pytorch quasar uncertainty-quantification
Language:Jupyter Notebook 2
bpbirch / CI_and_Prediction_Bootstraps
This module contains functions, bootStrapParamCI and bootStrapPredictInterval, that follow a bootstrap approach to produce confidence intervals for model parameters and prediction intervals for individual point predictions, respectively.
matplotlib pandas linear-regression confidence-intervals prediction-intervals python
Language:Python 1
smriti2311 / RegModel_Analytica
Complete mathematical and statistical analysis of linear regression model
linear-regression hypothesis-testing anova-test r-squared confidence-intervals prediction-intervals
Language:Jupyter Notebook 1
devosmitachatterjee2018 / Linear_Statistical_Models
The project involves the multivariate regression analysis of a dataset.
adjusted-r-squared akaike-information-criterion bias-variance categorical-covariates confidence-intervals cross-validation least-squares model-selection multicollinearity multivariate-regression outlier-detection partial-f-test prediction-intervals r-squared simple-linear-regression t-test underlying-assumptions
Language:R 0
ethan-allavarpu / stats-208-jackknife
Analysis of Predictive inference with jackknife+, a new method for creating prediction intervals with stronger coverage guarantees
jackknife prediction-intervals
Language:Python 0
srimallipudi / Harmon-Foods-Forecasting-Model
Developed a linear regression model to forecast case shipments considering various predictor variables such as time trends (month), seasonality (seasonal index), and promotions. Conducted Durbin Watson test and generated a forecast and prediction interval.
forecasting prediction-intervals regression-modeling time-series-analysis
Language:R 0
ashishyadav24092000 / Prediction-And-Confidence-interval-LinearRegression
Plotting of the Confidence interval and Prediction interval for a Linear Regression model.
sklearn-library statsmodels scatter-plot linear-regression seaborn-plots scatter-plots matplotlib-pyplot summary-tables outliers-influence confidence-intervals prediction-intervals
Language:Jupyter Notebook