Ready Tensor's repositories
rt_forecasting_darts_naive_mean
Naive Mean Forecaster for the Forecasting problem category as per Ready Tensor specifications.
rt_tsa_random_forest_sklearn
Random Forest TSAnnotator.
rt_forecasting_darts_naive_seasonal
Naive Seasonal Forecaster for the Forecasting problem category as per Ready Tensor specifications.
rt_forecasting_darts_naive_recent_window_mean
Naive Recent Window Mean Forecaster in Darts
rt_forecasting_darts_naive_moving_average
Naive Moving Average Forecaster for the Forecasting problem category as per Ready Tensor specifications.
rt_forecasting_darts_naive_drift
Naive Drift Forecaster for the Forecasting problem category as per Ready Tensor specifications.
rt-datasets-forecasting
Datasets for Forecasting category on Ready Tensor
rt_forecasting_autogluon_npts
NPTS Forecaster - AutoGluon
rt_forecasting_moment
MOMENT timeseries foundation model - forecasting
rt_app_public_images
Repository to host images that we are linking through documentation pages in the app.
rt_forecasting_autogluon_chronos
Time-series AutoGluon Forecaster for the Forecasting problem category as per Ready Tensor specifications.
rt_regression_linear_regression_sklearn
Linear Regression in Scikit-Learn with Shapley Explanations
rt_regression_ridge_sklearn
Ridge Regressor in Scikit-Learn with Shapley Explanations
rt_regression_lasso_sklearn
Lasso Regressor in Scikit-Learn with Shapley Explanations
rt_reg_xgb2_piml
XGBoost Depth 2 Regressor
rt_reg_ReluDNNRegressor_piml
ReluDNNRegressorwith Shapley explanations
rt_reg_Treeregressor_piml
DecisonTree Regression in PiML with Shapley Explanations
rt_reg_GAMINet_piml
GAMINet Regressor with Shapley Explanations
rt_regression_decision_tree_sklearn
Decision Tree Regressor in Scikit-Learn
rt_regression_huber_regressor_sklearn
This repository is a dockerized implementation of the Huber regressor. It is implemented in flexible way that it can be used with any regression dataset with the use of JSON-formatted data schema file.
rt_regression_mlp_sklearn
This repository is a dockerized implementation of the Multi-Layer Percentron (MLP) regressor. It is implemented in flexible way that it can be used with any regression dataset with the use of JSON-formatted data schema file.
rt_regression_gradient_boosting_sklearn
Gradient Boosting Regression with Shapley Explanations
rt_regression_bagging_sklearn
Bagging Regressor in Scikit-Learn with Shapley Explanations
rt_regression_light_gbm
This repository is a dockerized implementation of the LightGBM regressor. It is implemented in flexible way that it can be used with any regression dataset with the use of JSON-formatted data schema file. The main purpose of this repository is to provide a complete example of a machine learning model implementation that is ready for deployment.
rt_regression_extra_trees_sklearn
This repository is a dockerized implementation of the Extra Trees regressor. It is implemented in flexible way that it can be used with any regression dataset with the use of JSON-formatted data schema file. The main purpose of this repository is to provide a complete example of a machine learning model implementation that is ready for deployment.
rt_regression_HistGradientBoosting_sklearn
HistGradientBoosting Regressor in Scikit-Learn with Shapley Explanations
rt_regression_svr_sklearn
This repository is a dockerized implementation of the Support Vector regressor. It is implemented in flexible way that it can be used with any regression dataset with the use of JSON-formatted data schema file.