Popularity

1.7

Growing

Activity

0.0

Stable

Stars 3

Watchers 2

Forks 0

Last Commit over 5 years ago

Programming language: Crystal

License: MIT License

Tags: Science And Data Analysis

scorystal alternatives and similar shards

Based on the "Science and Data analysis" category.
Alternatively, view scorystal alternatives based on common mentions on social networks and blogs.

bottle

9.0 0.8 scorystal VS bottle

Scientific computing in pure Crystal
machine

7.6 0.0 scorystal VS machine

Simple machine learning algorithm for crystal lang

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

crystal-learn

7.5 0.0 scorystal VS crystal-learn

Machine Learning in Crystal
linalg

6.8 0.0 scorystal VS linalg

Linear algebra library based on LAPACK
ishi

6.7 0.0 scorystal VS ishi

Graph plotting package with a small API and sensible defaults powered by gnuplot.
stats

5.7 0.0 scorystal VS stats

An expressive crystal implementation of statistical distributions and usual math functions. :bar_chart:
predict.cr

4.6 0.0 L1 scorystal VS predict.cr

Satellite prediction library for crystal using the sgp4 model
chizge

3.7 0.0 scorystal VS chizge

A Network (Graph) Analysis library for Crystal Language, inspired by NetworkX.
alea

3.5 2.6 scorystal VS alea

Repeatable pseudo-random sampling, CDF over most known probability distributions.

* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest.

Do you think we are missing an alternative of scorystal or a related project?

Add another 'Science and Data analysis' Shard

Popular Comparisons

chizge

vs

crystal-learn

README

Scorystal

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

Currently supports random forest and gradient boosted models.

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

Contact me here or at [email protected].

Installation

Add this to your application's shard.yml:

dependencies:
  scorystal:
    github: asafschers/scorystal

Usage

require "scorystal"

# Parse PMML file
pmml_text = File.read("spec/pmmls/gbm.pmml")
parsed_pmml = XML.parse(pmml_text, XML::ParserOptions::NOBLANKS)

# Set features hash

json = %({"F1":null,"F2":21371,"F3":"AA"}")
features = Scorystal.features_hash(json)

# Gradient Boosted Model

gbm = Gbm.new(parsed_pmml)
puts gbm.score(features)

# Random Forest

rf = RandomForest.new(parsed_pmml)
puts rf.decisions_count(features)

Contributing

Fork it ( https://github.com/asafschers/scorystal/fork )
Create your feature branch (git checkout -b my-new-feature)
Commit your changes (git commit -am 'Add some feature')
Push to the branch (git push origin my-new-feature)
Create a new Pull Request

Contributors

[asafschers] asaf schers - creator, maintainer

scorystal

Crystal Scoring API for PMML