alteryx / compose
A machine learning tool for automated prediction engineering. It allows you to easily structure prediction problems and generate labels for supervised learning.
☆505Updated last month
Alternatives and similar repositories for compose:
Users that are interested in compose are comparing it to the libraries listed below
- EvalML is an AutoML library written in python.☆807Updated 2 weeks ago
- Woodwork is a Python library that provides robust methods for managing and communicating data typing information.☆153Updated last week
- Human-explainable AI.☆520Updated last year
- Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upo…☆538Updated 3 months ago
- Data Analysis Baseline Library☆727Updated 4 months ago
- Linear Prediction Model with Automated Feature Engineering and Selection Capabilities☆517Updated last month
- Monitor the stability of a Pandas or Spark dataframe ⚙︎☆500Updated 3 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…☆646Updated 2 months ago
- Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ra…☆753Updated 8 months ago
- python library for automated dataset normalization☆114Updated last year
- The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning produc…☆610Updated 2 years ago
- DeltaPy - Tabular Data Augmentation (by @firmai)☆543Updated last year
- Luminaire is a python package that provides ML driven solutions for monitoring time series data.☆777Updated last year
- ⚓ Eurybia monitors model drift over time and securizes model deployment with data validation☆208Updated 6 months ago
- Python package for Imputation Methods☆248Updated last year
- data⎰describe: Pythonic EDA Accelerator for Data Science☆300Updated 2 years ago
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆612Updated last year
- Fast SHAP value computation for interpreting tree-based models☆539Updated last year
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆290Updated 2 weeks ago
- PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.☆459Updated last month
- A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.☆468Updated last year
- machine learning with logical rules in Python☆634Updated last year
- Source code/webpage/demos for the What-If Tool☆946Updated 7 months ago
- A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.☆576Updated 10 months ago
- Hierarchical Time Series Forecasting with a familiar API☆224Updated last year
- Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are look…☆430Updated 8 months ago
- A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosyst…☆151Updated last year
- Time should be taken seer-iously☆315Updated 2 years ago
- AtsPy: Automated Time Series Models in Python (by @firmai)☆515Updated 2 years ago
- OpenML AutoML Benchmarking Framework☆429Updated last week