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Programming language: Go

License: MIT License

Tags: Machine Learning

goscore alternatives and similar packages

Based on the "Machine Learning" category.
Alternatively, view goscore alternatives based on common mentions on social networks and blogs.

GoLearn

9.6 0.0 goscore VS GoLearn

Machine Learning for Go
gorse

9.3 8.6 goscore VS gorse

An open source recommender system service written in Go

Build time-series-based applications quickly and at scale.

InfluxDB is the Time Series Platform where developers build real-time applications for analytics, IoT and cloud-native services. Easy to start, it is available in the cloud or on-premises.

Promo www.influxdata.com

Gorgonia

9.2 4.9 goscore VS Gorgonia

Gorgonia is a library that helps facilitate machine learning in Go.
m2cgen

8.5 6.4 goscore VS m2cgen

Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
gosseract

8.3 1.4 goscore VS gosseract

Go package for OCR (Optical Character Recognition), by using Tesseract C++ library
tfgo

8.3 4.5 goscore VS tfgo

Tensorflow + Go, the gopher way
goml

8.0 0.0 goscore VS goml

On-line Machine Learning in Go (and so much more)
envd

7.9 9.7 goscore VS envd

🏕️ Reproducible development environment for AI/ML
gago

7.3 0.7 goscore VS gago

:four_leaf_clover: Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)
bayesian

7.3 0.0 goscore VS bayesian

Naive Bayesian Classification for Golang.
CloudForest

7.2 0.0 goscore VS CloudForest

Ensembles of decision trees in go/golang.
ocrserver

7.0 0.0 goscore VS ocrserver

A simple OCR API server, seriously easy to be deployed by Docker, on Heroku as well
gobrain

6.8 0.0 goscore VS gobrain

Neural Networks written in go
onnx-go

6.5 0.0 goscore VS onnx-go

onnx-go gives the ability to import a pre-trained neural network within Go without being linked to a framework or library.
go-deep

6.4 0.0 goscore VS go-deep

Artificial Neural Network
sklearn

6.1 0.0 goscore VS sklearn

bits of sklearn ported to Go #golang
regommend

5.9 0.0 goscore VS regommend

Recommendation engine for Go
go-galib

5.6 0.0 goscore VS go-galib

Genetic Algorithms library written in Go / golang
Goptuna

5.4 1.8 goscore VS Goptuna

A hyperparameter optimization framework, inspired by Optuna.
goRecommend

5.3 0.0 goscore VS goRecommend

Collaborative Filtering (CF) Algorithms in Go!
shield

5.2 0.0 goscore VS shield

Bayesian text classifier with flexible tokenizers and storage backends for Go
goga

5.2 0.0 goscore VS goga

Golang Genetic Algorithm
go-fann

4.7 0.0 goscore VS go-fann

Go bindings for FANN, library for artificial neural networks
neat

4.2 0.0 goscore VS neat

Plug-and-play, parallel Go framework for NeuroEvolution of Augmenting Topologies (NEAT).
libsvm

4.2 0.0 goscore VS libsvm

libsvm go version
fonet

4.1 0.0 goscore VS fonet

fonet is a deep neural network package for Go.
neural-go

3.9 0.0 goscore VS neural-go

A multilayer perceptron network implemented in Go, with training via backpropagation.
go-pr

3.9 0.0 goscore VS go-pr

Pattern recognition package in Go lang.
go-featureprocessing

3.9 2.1 goscore VS go-featureprocessing

🔥 Fast, simple sklearn-like feature processing for Go
NEUGO

3.8 0.0 goscore VS NEUGO

NEUGO: Neural Networks in Go
Varis

3.5 0.0 goscore VS Varis

Golang Neural Network
golinear

3.4 0.0 goscore VS golinear

liblinear bindings for Go
go-cluster

3.3 0.0 goscore VS go-cluster

k-modes and k-prototypes clustering algorithms implementation in Go
GoMind

3.2 0.0 goscore VS GoMind

A simplistic Neural Network Library in Go
EAGO

2.9 0.0 goscore VS EAGO

EAGO: Evolutionary Algorithms in Go
evoli

2.9 0.0 goscore VS evoli

Genetic Algorithm and Particle Swarm Optimization
godist

2.8 0.0 goscore VS godist

Probability distributions and associated methods in Go
randomforest

2.6 0.0 goscore VS randomforest

Random Forest implementation in golang
probab

2.1 0.0 goscore VS probab

Automatically exported from code.google.com/p/probab
ddt

1.9 0.0 goscore VS ddt

Golang Dynamic Decision Tree
mlgo

1.0 0.0 goscore VS mlgo

Automatically exported from code.google.com/p/mlgo

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Popular Comparisons

README

Goscore

Go scoring API for Predictive Model Markup Language (PMML).

Currently supports Neural Network, Decision Tree, Random Forest and Gradient Boosted Models

Will be happy to implement new models by demand, or assist with any other issue.

Contact me here or at [email protected].

Tutorial - Deploy Machine Learning Models from R Research to Go Production with PMML

Installation

go get github.com/asafschers/goscore

Usage

Random Forest / Gradient Boosted Model

Generate PMML - R

Fetch model from PMML file -

modelXml, _ := ioutil.ReadFile("fixtures/model.pmml")
var model goscore.RandomForest // or goscore.GradientBoostedModel
xml.Unmarshal([]byte(modelXml), &model)

Set features -

features := map[string]interface{}{
  "Sex": "male",
  "Parch": 0,
  "Age": 30,
  "Fare": 9.6875,
  "Pclass": 2,
  "SibSp": 0,
  "Embarked": "Q",
}

Score features by model -

score, _ := model.Score(features, "1") // gbm.score doesn't recieve label

Score faster -

runtime.GOMAXPROCS(runtime.NumCPU()) // use all cores
score, _ := model.ScoreConcurrently(features, "1") // parallelize tree traversing

Contributing

Bug reports and pull requests are welcome on GitHub at https://github.com/asafschers/goscore. This project is intended to be a safe, welcoming space for collaboration, and contributors are expected to adhere to the [Contributor Covenant](contributor-covenant.org) code of conduct.

License

The gem is available as open source under the terms of the MIT License.

*Note that all licence references and agreements mentioned in the goscore README section above are relevant to that project's source code only.

goscore

Go Scoring API for PMML