R-universe search: h2oai

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haghish

autoEnsemble:Automated Stacked Ensemble Classifier for Severe Class Imbalance

The autoEnsemble R package is a stacking algorithm particularly tailored to imbalanced and severely skewed data. It automates the process of building homogeneous or heterogeneous stacked ensemble models by selecting "best" models according to different criteria. In doing so, it strategically searches for and selects diverse, high-performing base-learners to construct ensemble models optimized for skewed data. This package is particularly useful for addressing class imbalance in datasets, ensuring robust and effective model outcomes through advanced ensemble strategies which aim to stabilize the model, reduce its overfitting, and further improve its generalizability.

Maintained by E. F. Haghish. Last updated 2 days ago.

ai algorithm automated-machine-learning automl automl-algorithms ensemble ensemble-learning h2o h2oai machine-learning machinelearning metalearning stack-ensemble stacked-ensembles stacking

11.0 match 5 stars 4.32 score 21 scripts

vzhomeexperiments

lazytrade:Learn Computer and Data Science using Algorithmic Trading

Provide sets of functions and methods to learn and practice data science using idea of algorithmic trading. Main goal is to process information within "Decision Support System" to come up with analysis or predictions. There are several utilities such as dynamic and adaptive risk management using reinforcement learning and even functions to generate predictions of price changes using pattern recognition deep regression learning. Summary of Methods used: Awesome H2O tutorials: <https://github.com/h2oai/awesome-h2o>, Market Type research of Van Tharp Institute: <https://vantharp.com/>, Reinforcement Learning R package: <https://CRAN.R-project.org/package=ReinforcementLearning>.

Maintained by Vladimir Zhbanko. Last updated 8 months ago.

lazy lazytrade

0.5 match 23 stars 5.58 score 333 scripts

navdeep-g

h2o4gpu:Interface to 'H2O4GPU'

Interface to 'H2O4GPU' <https://github.com/h2oai/h2o4gpu>, a collection of 'GPU' solvers for machine learning algorithms.

Maintained by Navdeep Gill. Last updated 4 years ago.

0.5 match 1 stars 3.24 score 35 scripts

jakubhava

rsparkling:R Interface for H2O Sparkling Water

An extension package for 'sparklyr' that provides an R interface to H2O Sparkling Water machine learning library (see <https://github.com/h2oai/sparkling-water> for more information).

Maintained by Jakub Hava. Last updated 5 years ago.

0.5 match 2.39 score 245 scripts