README.md
In forvis/PdM: R package for predictive maintenance in industry 4.0 concept
PdM
PdM is an R package for predictive maintenance
Machine learning models (using caret package) that are used for predictive maintenance:
- Linear Regression (LM)
- Regression Trees (CART)
- Support Vector Machines (SVM)
- Random Forests (RF)
- Bootstrapped Aggregation (Bagging)
- Extreme Gradient Boosting (XGBoost)
forvis/PdM documentation built on Dec. 5, 2020, 8:54 p.m.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
PdM
PdM is an R package for predictive maintenance
Machine learning models (using caret package) that are used for predictive maintenance:
- Linear Regression (LM)
- Regression Trees (CART)
- Support Vector Machines (SVM)
- Random Forests (RF)
- Bootstrapped Aggregation (Bagging)
- Extreme Gradient Boosting (XGBoost)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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