zygmuntz / classifier-calibrationLinks
Reliability diagrams, Platt's scaling, isotonic regression
☆76Updated 11 years ago
Alternatives and similar repositories for classifier-calibration
Users that are interested in classifier-calibration are comparing it to the libraries listed below
Sorting:
- Python codes for weakly-supervised learning☆124Updated 5 years ago
- Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"☆68Updated last year
- An implementation of Caruana et al's Ensemble Selection algorithm in Python, based on scikit-learn☆150Updated 4 years ago
- 🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.☆83Updated 3 years ago
- This is the official implementation for the paper 'AutoEncoder by Forest'☆76Updated 7 years ago
- Factorization Machine for regression and classification☆98Updated 8 years ago
- Context-sensitive ranking and choice in Python with PyTorch☆67Updated 2 years ago
- Adaptive Synthetic Sampling Approach for Imbalanced Learning☆132Updated 2 years ago
- Hash Embedding code for the paper "Hash Embeddings for Efficient Word Representations"☆42Updated 7 years ago
- Active Learning☆56Updated 10 years ago
- Code for Supervised Word Mover's Distance (SWMD)☆92Updated 7 years ago
- An example of using a discriminator to correct for a difference in the distributions between the training and test data.☆67Updated 8 years ago
- Bernoulli Embeddings for Text☆83Updated 7 years ago
- Deep Embedding Clustering in Keras☆132Updated 8 years ago
- Data and code related to the paper "Probabilistic matrix factorization for automated machine learning", NIPS, 2018.☆40Updated 3 years ago
- [DEPRECATED] An innovative technique that constructs an ensemble of decision trees and converts this ensemble into a single, interpretab…☆79Updated 4 years ago
- ☆124Updated 4 years ago
- An improved implementation of the classical feature selection method: minimum Redundancy and Maximum Relevance (mRMR).☆83Updated 3 years ago
- Context Selection for Embedding Models☆27Updated 7 years ago
- Online Max-Margin Topic Models for Accurate and Fast Text Classification [release v0.1]☆53Updated 9 years ago
- ☆16Updated 5 years ago
- ☆27Updated 7 years ago
- ☆34Updated 8 years ago
- Extension of the awesome XGBoost to linear models at the leaves☆82Updated 6 years ago
- Hyperparameter optimization with approximate gradient☆66Updated 4 years ago
- Creating a better validation set when test examples differ from training examples☆101Updated 9 years ago
- Scikit-learn API toy wrapper for Regularized Greedy Forests☆44Updated 9 years ago
- Implementation of Bayesian NNs in Pytorch (https://arxiv.org/pdf/1703.02910.pdf) (With some help from https://github.com/Riashat/Deep-Ba…☆31Updated 4 years ago
- ☆134Updated 6 years ago
- Implementation of Counterfactual risk minimization☆26Updated 8 years ago