Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality. Learn more →
C++ Gbdt Projects
-
xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
-
LightGBM
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
-
InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
Project mention: stackgbm VS xgboost - a user suggested alternative | libhunt.com/r/stackgbm | 2024-05-05
Project mention: SIRUS.jl: Interpretable Machine Learning via Rule Extraction | /r/Julia | 2023-06-29SIRUS.jl is a pure Julia implementation of the SIRUS algorithm by Bénard et al. (2021). The algorithm is a rule-based machine learning model meaning that it is fully interpretable. The algorithm does this by firstly fitting a random forests and then converting this forest to rules. Furthermore, the algorithm is stable and achieves a predictive performance that is comparable to LightGBM, a state-of-the-art gradient boosting model created by Microsoft. Interpretability, stability, and predictive performance are described in more detail below.
C++ Gbdt related posts
-
stackgbm VS xgboost - a user suggested alternative
2 projects | 5 May 2024 -
XGBoost 2.0
-
XGBoost2.0
-
SIRUS.jl: Interpretable Machine Learning via Rule Extraction
-
[D] RAM speeds for tabular machine learning algorithms
-
Xgboost: Banding continuous variables vs keeping raw data
-
[P] LightGBM but lighter in another language?
-
A note from our sponsor - InfluxDB
www.influxdata.com | 2 Jun 2024
Index
Sponsored