Brett-Kennedy / ClassificationThresholdTunerLinks
Tool to set the thresholds for classification problems and to visualize the implications of potential thresholds.
☆38Updated 10 months ago
Alternatives and similar repositories for ClassificationThresholdTuner
Users that are interested in ClassificationThresholdTuner are comparing it to the libraries listed below
Sorting:
- hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…☆64Updated 6 months ago
- ☆150Updated 2 years ago
- How to Interpret SHAP Analyses: A Non-Technical Guide☆56Updated 3 years ago
- A framework for calibration measurement of binary probabilistic models☆28Updated last year
- A python library to automate feature selection process for machine learning projects.☆64Updated last year
- Arguably the best missing values imputation method.☆73Updated 8 months ago
- Feature engineering package with sklearn like functionality☆56Updated last year
- Repository for the explanation method Calibrated Explanations (CE)☆70Updated this week
- Interpretable, intuitive outlier detector intended for categorical and numeric data.☆11Updated last year
- A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2023)☆90Updated 2 years ago
- The binclass-tools package contains a set of Python wrappers and interactive plots that facilitate the analysis of binary classification …☆74Updated 2 years ago
- An unsupervised feature selection technique using supervised algorithms such as XGBoost☆90Updated last year
- All Relevant Feature Selection☆140Updated 5 months ago
- Multi-class probabilistic classification using inductive and cross Venn–Abers predictors☆49Updated 3 years ago
- A power-full Shapley feature selection method.☆210Updated last year
- Fast CPU and GPU Python implementations of Improved Kernel Partial Least Squares (PLS) by Dayal and MacGregor (1997) and Fast Partition-B…☆29Updated 2 months ago
- 👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster☆112Updated 4 months ago
- Fast implementation of Venn-ABERS probabilistic predictors☆75Updated last year
- Mambular is a Python package that simplifies tabular deep learning by providing a suite of models for regression, classification, and dis…☆260Updated last month
- Computation of training set (X^T * W * X) and (X^T * W * Y) or (X^T * X) and (X^T * Y) in a cross-validation setting using the fast algor…☆22Updated 3 weeks ago
- An extension of Py-Boost to probabilistic modelling☆24Updated 2 years ago
- Demo for CI/CD in a machine learning project☆111Updated 2 years ago
- An interpretable kNN based on aggregating the predictions of multiple 2d spaces.☆13Updated 10 months ago
- ☆23Updated last year
- Conformal Prediction-Based Global and Model Agnostic Explainability for Classification tasks.☆26Updated 7 months ago
- ☆32Updated 2 years ago
- Code used to obtain results for my medium articles☆75Updated 2 years ago
- A python module that provides a quick way to overview a DataFrame☆49Updated 2 years ago
- A Library for Conformal Hyperparameter Tuning☆31Updated this week
- A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.☆45Updated last month