| ClassificationViaPLS |
Performs ClassificationViaRegression using PLSClassifierWeightedWithLoadings as base classifier, allowing access to the PLS matrices.
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| FakeClassifier |
Fake classifier that requires no dataset for training and just outputs random values within the specified bounds.
Fake build and prediction times can be set as well.
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| FromPredictions |
Encapsulates predictions from a spreadsheet.
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| GaussianProcessesAdaptive |
Implements Gaussian Processes for regression without hyperparameter-tuning.
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| GaussianProcessesNoWeights |
* Implements Gaussian processes for regression without hyperparameter-tuning.
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| GaussianProcessesWeighted |
Implements Gaussian Processes for regression without hyperparameter-tuning.
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| GeneticAlgorithm |
Applies the specified genetic algorithm to the training data and uses the best setup for the final model.
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| GPD |
Implements Gaussian Processes for regression without hyperparameter-tuning, with an inline RBF kernel.
For more information see
David J.C.
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| LinearRegressionJ |
Class for using linear regression for prediction.
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| MathExpressionClassifier |
Simple classifier that uses a pre-defined formula that can make use of attribute values using their names.
Grammar:
expr_list ::= '=' expr_list expr_part | expr_part ;
expr_part ::= expr ;
expr ::= ( expr )
# data types
| number
| string
| boolean
| date
# constants
| true
| false
| pi
| e
| now()
| today()
# negating numeric value
| -expr
# comparisons
| expr < expr
| expr <= expr
| expr > expr
| expr >= expr
| expr = expr
| expr !
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| PLSClassifierWeighted |
A wrapper classifier for the PLSFilter, utilizing the PLSFilter's ability to perform predictions.
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| PLSClassifierWeightedWithLoadings |
A wrapper classifier for the PLSFilter, utilizing the PLSFilter's ability to perform predictions.
Allows access to the PLS matrices in case the filter is a PLSFilterWithLoadings instance.
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| PLSRegressor |
A wrapper classifier for the PLS filter, utilizing the filter's ability to perform predictions.
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| PLSWeighted |
A wrapper classifier for the PLS filter, utilizing the filter's ability to perform predictions.
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| SimpleLinearRegressionIntervalEstimator |
Learns a simple linear regression model.
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| SimpleLinearRegressionWithAccess |
Learns a simple linear regression model.
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