xgboost-survival-embeddings
scikit-survival
| xgboost-survival-embeddings | scikit-survival | |
|---|---|---|
| 3 | 1 | |
| 308 | 1,075 | |
| 3.2% | - | |
| 0.0 | 8.9 | |
| 9 months ago | 9 days ago | |
| Python | Python | |
| Apache License 2.0 | GNU General Public License v3.0 only |
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xgboost-survival-embeddings
- Churn/Retention prediction without machine learning
- Show HN: Better XGBoost Survival Analysis via embeddings and debiased estimators
-
Forecasting multiple time series ideas
Here’s a great package for survival analysis in python
scikit-survival
What are some alternatives?
flow-forecast - Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
pycox - Survival analysis with PyTorch
auton-survival - Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Events
yellowbrick - Visual analysis and diagnostic tools to facilitate machine learning model selection.
Face Recognition - The world's simplest facial recognition api for Python and the command line
data-science-ipython-notebooks - Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
skope-rules - machine learning with logical rules in Python
mars - Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis