koaning / scikit-legoLinks
Extra blocks for scikit-learn pipelines.
☆1,367Updated last week
Alternatives and similar repositories for scikit-lego
Users that are interested in scikit-lego are comparing it to the libraries listed below
Sorting:
- Machine learning with dataframes☆1,491Updated this week
- Feature engineering package with sklearn like functionality☆2,156Updated this week
- Predictive Power Score (PPS) in Python☆1,165Updated last month
- A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.☆469Updated 2 years ago
- Natural Intelligence is still a pretty good idea.☆823Updated last year
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,509Updated 2 months ago
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,481Updated last week
- A set of data tools in Python☆507Updated last week
- Fast SHAP value computation for interpreting tree-based models☆545Updated 2 years ago
- python partial dependence plot toolbox☆861Updated last year
- Data Analysis Baseline Library☆727Updated 10 months ago
- Clean APIs for data cleaning. Python implementation of R package Janitor☆1,460Updated this week
- Monitor the stability of a Pandas or Spark dataframe ⚙︎☆507Updated 2 months ago
- Leave One Feature Out Importance☆849Updated 8 months ago
- EvalML is an AutoML library written in python.☆833Updated this week
- The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning produc…☆613Updated 6 months ago
- Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshad…☆673Updated 8 months ago
- Easy to use Python library of customized functions for cleaning and analyzing data.☆520Updated this week
- Doubt your data, find bad labels.☆515Updated last year
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆638Updated last year
- A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.☆579Updated last year
- distfit is a python library for probability density fitting.☆406Updated this week
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆313Updated 6 months ago
- machine learning with logical rules in Python☆649Updated last year
- Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.☆2,453Updated 3 months ago
- Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual expl…☆499Updated 2 weeks ago
- A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.☆2,011Updated 5 months ago
- Data Quality assessment with one line of code☆452Updated last month
- A Python package for causal inference in quasi-experimental settings☆1,057Updated this week
- Improving XGBoost survival analysis with embeddings and debiased estimators☆341Updated last year