dask / dask-searchcvLinks
dask-searchcv is now part of dask-ml: https://github.com/dask/dask-ml
☆239Updated 6 years ago
Alternatives and similar repositories for dask-searchcv
Users that are interested in dask-searchcv are comparing it to the libraries listed below
Sorting:
- Experimental docker-compose setup to bootstrap distributed on a docker-swarm cluster.☆91Updated 7 years ago
- Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models☆490Updated 7 years ago
- Compiled Decision Trees for scikit-learn☆224Updated 2 months ago
- ☆190Updated 2 years ago
- A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.☆213Updated 7 years ago
- ☆162Updated 3 years ago
- A library for defensive data analysis.☆500Updated 5 years ago
- SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.☆556Updated last month
- ☆160Updated 8 years ago
- Interactive plotting for Pandas using Vega-Lite☆344Updated 6 years ago
- Start a cluster in EC2 for dask.distributed☆106Updated 4 years ago
- Unified interface for local and distributed ndarrays☆157Updated 6 years ago
- Run IPython notebooks as command-line scripts, generate HTML reports☆450Updated 7 years ago
- Patsy Adaptors for Scikit-learn☆48Updated 6 years ago
- A new version of phraug, which is a set of simple Python scripts for pre-processing large files☆206Updated 7 years ago
- A library that allows serialization of SciKit-Learn estimators into PMML☆70Updated 5 years ago
- [RETIRED] Server that runs and renders Jupyter notebooks as interactive dashboards☆181Updated 7 years ago
- [RETIRED] Converts a notebook to a dashboard and deploys it / downloads it☆79Updated 7 years ago
- A library for factorization machines and polynomial networks for classification and regression in Python.☆245Updated 4 years ago
- optimization routines for hyperparameter tuning☆421Updated last year
- Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.☆468Updated 4 months ago
- Bayesian Optimization using xgboost and sklearn API☆226Updated 9 years ago
- A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization routines.☆199Updated last year
- pandas, scikit-learn, xgboost and seaborn integration☆319Updated 4 years ago
- Just some of my kaggle scripts☆88Updated 10 years ago
- Some small utility modules to help with pandas, numpy and sklearn usage in other projects☆182Updated 2 years ago
- A Pandas Styler class for making beautiful tables☆415Updated 2 years ago
- lightweight python wrapper for vowpal wabbit☆168Updated 5 years ago
- Wabbit Wappa is a full-featured Python wrapper for the Vowpal Wabbit machine learning utility.☆101Updated 7 years ago
- PCA that iteratively replaces missing data☆221Updated last year