Statements (69)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Library
|
| gptkbp:dependency |
gptkb:Apache_Commons_Collections
gptkb:Apache_Commons_Lang gptkb:Apache_Commons_Logging |
| gptkbp:developed_by |
gptkb:Apache_Software_Foundation
|
| gptkbp:has_documentation |
API reference
user guide |
| gptkbp:has_features |
gptkb:Statistician
gptkb:neural_networks statistical distributions data visualization time series analysis optimization problems differential equations fuzzy logic data fitting genetic algorithms interpolation confidence intervals curve fitting Monte Carlo methods linear regression time series forecasting decision trees hypothesis testing k-means clustering support vector machines clustering algorithms numerical integration matrix decomposition classification algorithms multi-objective optimization principal component analysis singular value decomposition root finding simulated annealing non-linear regression particle swarm optimization constraint optimization |
| https://www.w3.org/2000/01/rdf-schema#label |
Apache Commons Math4
|
| gptkbp:is_available_on |
gptkb:Maven_Central
gptkb:Git_Hub |
| gptkbp:is_compatible_with |
gptkb:Java_SE
gptkb:Java_EE |
| gptkbp:is_part_of |
gptkb:Creative_Commons
|
| gptkbp:is_supported_by |
gptkb:Apache_Software_Foundation
gptkb:community |
| gptkbp:is_tested_for |
gptkb:Test_NG
gptkb:JUnit |
| gptkbp:is_used_in |
gptkb:machine_learning
data analysis scientific computing |
| gptkbp:latest_version |
4.0
|
| gptkbp:license |
Apache License 2.0
|
| gptkbp:programming_language |
gptkb:Java
|
| gptkbp:provides |
gptkb:Mathematics
gptkb:random_number_generation linear algebra optimization algorithms statistics tools geometry utilities |
| gptkbp:release_date |
gptkb:2013
|
| gptkbp:supports |
complex numbers
matrices real numbers vectors |
| gptkbp:written_in |
gptkb:Java
|
| gptkbp:bfsParent |
gptkb:Apache_Software_Foundation
|
| gptkbp:bfsLayer |
4
|