cpa-analytics / embedding-encoderLinks
Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.
☆42Updated 2 years ago
Alternatives and similar repositories for embedding-encoder
Users that are interested in embedding-encoder are comparing it to the libraries listed below
Sorting:
- Small Dataset Benchmarks on the Dataset of Datasets UCI++☆93Updated 3 years ago
- Clustering for mixed-type data☆101Updated last year
- CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system☆76Updated 3 years ago
- An unsupervised feature selection technique using supervised algorithms such as XGBoost☆92Updated 2 years ago
- TabNet for fastai☆124Updated 4 months ago
- Extends scikit-learn with new models, transformers, metrics, plotting.☆73Updated 3 weeks ago
- A general purpose recommender metrics library for fair evaluation.☆277Updated 2 years ago
- Missing data amputation and exploration functions for Python☆72Updated 3 years ago
- ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…☆102Updated 3 years ago
- WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)☆159Updated 3 years ago
- Model Agnostic Confidence Estimator (MACEST) - A Python library for calibrating Machine Learning models' confidence scores☆100Updated 4 months ago
- Batch shap calculations.☆31Updated 3 years ago
- A python library for hierarchical classification compatible with scikit-learn☆136Updated 11 months ago
- Probabilistic Gradient Boosting Machines☆157Updated 2 years ago
- stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables☆66Updated last year
- NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for …☆108Updated 3 years ago
- ☆203Updated 3 months ago
- Python package for Imputation Methods☆251Updated 2 years ago
- Pipeline components that support partial_fit.☆46Updated last year
- Random Forest or XGBoost? It is Time to Explore LCE☆70Updated 2 years ago
- Boosted neural network for tabular data☆217Updated last year
- Train Gradient Boosting models that are both high-performance *and* Fair!☆107Updated this week
- Phi_K correlation analyzer library☆172Updated 3 weeks ago
- Clusteval provides methods for unsupervised cluster validation☆67Updated 2 weeks ago
- Example usage of scikit-hts☆57Updated 3 years ago
- An extension of CatBoost to probabilistic modelling☆149Updated 2 years ago
- Editing machine learning models to reflect human knowledge and values☆128Updated 2 years ago
- 📈🔍 Lets Python do AB testing analysis.☆78Updated 9 months ago
- Helpers for scikit learn☆16Updated 3 years ago
- Hierarchical Time Series Forecasting with a familiar API☆226Updated 2 years ago