charliermarsh / online_boosting
A suite of boosting algorithms for the online learning setting.
☆65Updated 7 years ago
Alternatives and similar repositories for online_boosting:
Users that are interested in online_boosting are comparing it to the libraries listed below
- Library for Online Learning algorithms☆68Updated 10 years ago
- ☆39Updated 12 years ago
- Hyperparameter optimization with approximate gradient☆66Updated 3 years ago
- Online multiclass boosting algorithm that uses VFDT as weak learners☆16Updated 6 years ago
- 2nd place submission to the AutoML competition - phase 1☆22Updated 10 years ago
- 1st place submission to the AutoML competition - phase 2☆28Updated 9 years ago
- ☆74Updated 6 years ago
- 🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.☆82Updated 2 years ago
- Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"☆67Updated 9 months ago
- Extension of the awesome XGBoost to linear models at the leaves☆77Updated 5 years ago
- simple python interface to SMAC.☆21Updated 6 years ago
- A few basic online learning algorithms☆25Updated 3 years ago
- A Python implementation of the Hoeffding Tree algorithm.☆48Updated last year
- ☆24Updated 10 years ago
- Collaborative filtering with the GP-LVM☆25Updated 9 years ago
- Python implementation of stacked generalization classifier. Plays nice with sklearn.☆71Updated 8 years ago
- predicting learning curves in python☆43Updated 7 years ago
- ☆69Updated 4 years ago
- Online Multi-Class LPBoost and Gradient Boosting☆68Updated 10 years ago
- A fully decentralized hyperparameter optimization framework☆122Updated 7 months ago
- ☆45Updated 5 years ago
- An implementation of Caruana et al's Ensemble Selection algorithm in Python, based on scikit-learn☆151Updated 3 years ago
- Bayesian Weight Uncertainty Dense Layer for Keras☆48Updated 8 years ago
- Minimum description length principle algorithm in Python, for optimal binning of continuous variables☆59Updated last year
- Experimentation for oracle based contextual bandit algorithms.☆31Updated 2 years ago
- Efficient Dirichlet process clustering☆26Updated 11 years ago
- Functional ANOVA☆122Updated 3 weeks ago
- Reliability diagrams, Platt's scaling, isotonic regression☆76Updated 10 years ago
- Boosting and ensemble learning in Python.☆54Updated 9 years ago
- This is the official clone for the implementation of the NIPS18 paper Multi-Layered Gradient Boosting Decision Trees (mGBDT) .☆103Updated 6 years ago