Nixtla / tsfeaturesLinks
Calculates various features from time series data. Python implementation of the R package tsfeatures.
☆439Updated last year
Alternatives and similar repositories for tsfeatures
Users that are interested in tsfeatures are comparing it to the libraries listed below
Sorting:
- Forecasting with Gradient Boosted Time Series Decomposition☆197Updated 2 weeks ago
- Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.☆726Updated last week
- An extension of LightGBM to probabilistic modelling☆357Updated last month
- A python package for time series forecasting with scikit-learn estimators.☆162Updated last year
- Flexible time series feature extraction & processing☆437Updated last year
- Predict time-series with one line of code.☆434Updated last year
- The practitioner's forecasting library☆349Updated 3 weeks ago
- Quantile Regression Forests compatible with scikit-learn.☆251Updated last week
- A python library to build Model Trees with Linear Models at the leaves.☆387Updated last year
- Data, Benchmarks, and methods submitted to the M6 forecasting competition☆129Updated last year
- Hierarchical Time Series Forecasting with a familiar API☆226Updated 2 years ago
- An extension of XGBoost to probabilistic modelling☆684Updated last month
- A library to generate synthetic time series data by easy-to-use factors and generator☆155Updated last year
- Datasets for time series forecasting☆117Updated last month
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆643Updated last year
- Scalable machine 🤖 learning for time series forecasting.☆1,146Updated this week
- A power-full Shapley feature selection method.☆212Updated 3 months ago
- Helper functions to plot, evaluate, preprocess and engineer features for forecasting☆98Updated this week
- Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ra…☆762Updated last year
- BATS and TBATS forecasting methods☆183Updated 2 years ago
- Automated Time Series Forecasting☆1,339Updated last week
- A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python☆298Updated this week
- SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.☆153Updated 9 months ago
- 👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster☆116Updated 3 months ago
- catch22: CAnonical Time-series CHaracteristics☆457Updated this week
- All Relevant Feature Selection☆142Updated 9 months ago
- ☆156Updated 4 years ago
- Data, Benchmarks, and methods submitted to the M5 forecasting competition☆653Updated 2 years ago
- A python library for time-series smoothing and outlier detection in a vectorized way.☆770Updated 2 years ago
- Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshad…☆677Updated 11 months ago