iamDecode / sklearn-pmml-modelLinks
A library to parse and convert PMML models into Scikit-learn estimators.
☆77Updated 4 months ago
Alternatives and similar repositories for sklearn-pmml-model
Users that are interested in sklearn-pmml-model are comparing it to the libraries listed below
Sorting:
- ⬛ Python Individual Conditional Expectation Plot Toolbox☆165Updated 5 years ago
- machine learning with logical rules in Python☆638Updated last year
- Public home of pycorels, the python binding to CORELS☆80Updated 4 years ago
- A simple, extensible library for developing AutoML systems☆175Updated last year
- Python package for Gower distance☆78Updated last year
- A tool for compiling trained SKLearn models into other representations (such as SQL, Sympy or Excel formulas)☆174Updated 2 years ago
- Pipeline Profiler is a tool for visualizing machine learning pipelines generated by AutoML tools.☆84Updated last year
- ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…☆101Updated 2 years ago
- scikit-learn contrib estimators☆196Updated 2 months ago
- Python implementation of the rulefit algorithm☆420Updated last year
- Practical active learning in python☆189Updated 2 years ago
- scikit-learn compatible implementation of stability selection.☆212Updated 2 years ago
- Use Pandas DataFrame with scikit-learn Pipelines and Feature Unions☆32Updated 5 years ago
- An automated machine learning tool aimed to facilitate AutoML research.☆99Updated 9 months ago
- Home of the PipeGraph extension to Scikit-Learn☆24Updated 2 months ago
- OpenML AutoML Benchmarking Framework☆428Updated last week
- ☆63Updated 6 months ago
- A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosyst…☆150Updated last year
- Confidence intervals for scikit-learn forest algorithms☆288Updated last month
- Phi_K correlation analyzer library☆164Updated 4 months ago
- Primrose modeling framework for simple production models☆32Updated last year
- A fast xgboost feature selection algorithm☆222Updated 4 years ago
- A scikit-learn compatible implementation of hyperband☆76Updated 5 years ago
- Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM☆84Updated last year
- A library for composing end-to-end tunable machine learning pipelines.☆116Updated 4 months ago
- Linear Prediction Model with Automated Feature Engineering and Selection Capabilities☆522Updated 2 months ago
- Lightweight, Python library for fast and reproducible experimentation☆134Updated 6 years ago
- A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.☆418Updated 2 years ago
- A Python library for dynamic classifier and ensemble selection☆487Updated last year
- Ruleset covering algorithms for transparent machine learning☆106Updated this week