data_modeler
Data Modeler
A tool for creating generative machine learning models based on data preprocessing and configuration files
Model your data with machine learning
1 stars
2 watching
1 forks
Language: Ruby
last commit: over 7 years ago
Linked from 1 awesome list
machine-learningmachine-learning-librarymachinelearningmlmodelingrubyml
Related projects:
Repository | Description | Stars |
---|---|---|
sciruby/statsample-glm | An extension of Generalized Linear Models to Statsample, providing tools for statistical analysis and modeling. | 23 |
ml-tooling/ml-workspace | An all-in-one web-based IDE for machine learning and data science | 3,438 |
giuse/machine_learning_workbench | A comprehensive framework for practical machine learning in Ruby. | 20 |
giuseppec/iml | Provides methods to interpret and explain the behavior of machine learning models | 492 |
paulgoetze/weka-jruby | Provides a JRuby wrapper around the Weka Java library for machine learning and data mining in Ruby. | 65 |
jaimegildesagredo/booby | A Python library for defining and validating data structures with built-in support for complex data models and relationships. | 177 |
minimaxir/automl-gs | Automates machine learning model creation and optimization for complex datasets | 1,853 |
asafschers/goscore | An API to integrate machine learning models with PMML, allowing deployment of trained models in Go applications. | 99 |
juliastats/glm.jl | A Julia package for building and analyzing regression models using generalized linear models | 595 |
modeloriented/dalex | A tool to help understand and explain the behavior of complex machine learning models | 1,375 |
erik-roberts/gimbl-vis | An interactive multi-dimensional visualization toolbox for high-dimensional data | 4 |
mizor/machine-learning-ruby | A Ruby implementation of common machine learning algorithms and techniques | 13 |
asafschers/scoruby | A Ruby API for scoring predictive models in Predictive Model Markup Language (PMML) | 68 |
kei500/liblinear-ruby | Provides an interface to train and predict with machine learning models using LIBLINEAR | 83 |
giuse/simple_ga | A demonstration of a simple genetic algorithm in Ruby for solving optimization problems | 9 |