Lab VIEW Machine Learning Toolkit
GPTKB entity
Statements (60)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:software
|
| gptkbp:allows |
model training
|
| gptkbp:developed_by |
gptkb:National_Instruments
|
| gptkbp:enables |
data-driven decision making
predictive analytics automated machine learning workflows custom algorithm development Io T applications |
| gptkbp:enhances |
engineering workflows
|
| gptkbp:facilitates |
collaborative projects
model evaluation automated testing |
| https://www.w3.org/2000/01/rdf-schema#label |
Lab VIEW Machine Learning Toolkit
|
| gptkbp:includes |
data visualization tools
sample projects clustering algorithms classification algorithms regression algorithms hyperparameter tuning tools |
| gptkbp:integrates_with |
Lab VIEW environment
|
| gptkbp:is_compatible_with |
gptkb:operating_system
|
| gptkbp:is_used_by |
gptkb:architect
gptkb:physicist data analysts |
| gptkbp:is_used_for |
machine learning applications
quality control predictive maintenance forecasting anomaly detection |
| gptkbp:offers |
technical support
training resources user documentation data preprocessing tools |
| gptkbp:part_of |
Lab VIEW ecosystem
|
| gptkbp:provides |
community forums
API for integration pre-built algorithms model deployment options real-time monitoring tools visual programming interface model interpretability tools |
| gptkbp:released_in |
gptkb:2018
|
| gptkbp:requires |
Lab VIEW software
|
| gptkbp:supports |
gptkb:microprocessor
gptkb:Cloud_Computing_Service data analysis cross-platform development real-time data processing data fusion big data analytics feature selection ensemble methods decision trees support vector machines sensor data analysis |
| gptkbp:used_in |
gptkb:academic_research
data science projects industrial applications |
| gptkbp:bfsParent |
gptkb:Research_Institute
|
| gptkbp:bfsLayer |
3
|