Sanofi-Public / emrflowLinks
EMRFlow is designed to simplify the process of running PySpark jobs on Amazon EMR (Elastic Map Reduce).
☆13Updated 11 months ago
Alternatives and similar repositories for emrflow
Users that are interested in emrflow are comparing it to the libraries listed below
Sorting:
- Multiple Imputation with LightGBM in Python☆390Updated last year
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,460Updated this week
- A scikit-learn-compatible module for comparing imputation methods.☆139Updated 3 weeks ago
- Code accompanying the blogpost: "Creating Configurable Data Pre-Processing Pipelines by Combining Hydra and Sklearn" by Eli Simhayev & Be…☆28Updated last year
- 𝗢𝘄𝗻 𝗬𝗼𝘂𝗿 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲. Skore's open-source Python library accelerates ML model development with automated evaluation re…☆526Updated this week
- The balance python package offers a simple workflow and methods for dealing with biased data samples when looking to infer from them to s…☆703Updated this week
- Shapley Interactions and Shapley Values for Machine Learning☆612Updated last week
- Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Even…☆346Updated last year
- A Python package for causal inference in quasi-experimental settings☆1,036Updated last week
- Machine learning with dataframes☆1,456Updated this week
- Extra blocks for scikit-learn pipelines.☆1,359Updated last week
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,496Updated 3 weeks ago
- nannyml: post-deployment data science in python☆2,091Updated 2 months ago
- Improving XGBoost survival analysis with embeddings and debiased estimators☆342Updated 11 months ago
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆633Updated last year
- A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.☆579Updated last year
- mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.☆607Updated 10 months ago
- An end-to-end implementation of intent prediction with Metaflow and other cool tools☆869Updated 2 years ago
- Deep survival analysis made easy☆153Updated last week
- ☆704Updated 3 years ago
- SurvSHAP(t): Time-dependent explanations of machine learning survival models☆92Updated last year
- Python package for conformal prediction☆518Updated 2 months ago
- A game theoretic approach to explain the output of any machine learning model.☆26Updated 2 years ago
- Effector - a Python package for global and regional effect methods☆116Updated 2 months ago
- A Python package for modular causal inference analysis and model evaluations☆789Updated 5 months ago
- ☆202Updated 2 weeks ago
- Fast SHAP value computation for interpreting tree-based models☆542Updated 2 years ago
- To explain clinical BERT model predictions, we present an approach which leverages integrated gradients to attribute events in medical re…☆10Updated last month
- Data Quality assessment with one line of code☆450Updated 2 weeks ago
- AutoML for causal inference.☆230Updated 9 months ago