Search *

Login

3 results

Sorting

Contributing Search

Filters

Target

Jvm (3)

Scala

2.11 (3)
2.12 (1)

Topics

apache-spark (1)
artificial-neural-networks (1)
c-plus-plus (1)
classification (3)
clustering (1)
committee-models (1)
data-artistry (1)
data-science (1)
expectile-regression (1)
gaussian-processes (1)
kernel-methods (1)
machine-learning (2)
machine-learning-algorithms (1)
machine-learning-api (1)
matlab (1)
ml (1)
octave (1)
pattern-recognition (1)
python (1)
quantile-regression (1)
r (1)
r-package (1)
regression (3)
repl (1)
rstats (1)
scala (2)
scala-library (1)
svm (1)
tensorflow (1)

liquidsvm/liquidsvm

Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.

Scala (JVM): 2.11

apache-spark machine-learning c-plus-plus regression matlab expectile-regression quantile-regression classification rstats svm r-package r ml python octave

14 2 3
zenecture/neuroflow

Artificial Neural Networks for Scala

Scala (JVM): 2.11 2.12

clustering data-artistry artificial-neural-networks regression scala pattern-recognition classification data-science

95 6 2
transcendent-ai-labs/dynaml

Scala Library/REPL for Machine Learning Research

Scala (JVM): 2.11

tensorflow committee-models machine-learning-algorithms scala-library machine-learning repl kernel-methods regression scala classification gaussian-processes machine-learning-api

161 45 4

1 (current)

Scaladex
FAQs
Report an Issue

Follow us: