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C

CE_KEY - Static variable in class com.datumbox.framework.applications.datamodeling.Modeler

Key for Categorical Encoding.

CETR - Class in com.datumbox.framework.applications.nlp

The CETR class (Content Extraction with Tag Ratios) enables you to extract the content text from HTML pages.

CETR(Configuration) - Constructor for class com.datumbox.framework.applications.nlp.CETR

Constructor for the CETR class.

CETR.Parameters - Class in com.datumbox.framework.applications.nlp

The object with the Parameters of the Algorithm.

close() - Method in class com.datumbox.framework.applications.datamodeling.Modeler

com.datumbox.framework.applications.datamodeling - package com.datumbox.framework.applications.datamodeling

com.datumbox.framework.applications.nlp - package com.datumbox.framework.applications.nlp

D

delete() - Method in class com.datumbox.framework.applications.datamodeling.Modeler

E

extract(String, CETR.Parameters) - Method in class com.datumbox.framework.applications.nlp.CETR

Extracts the main content for an HTML page.

F

fit(Map<Object, URI>) - Method in class com.datumbox.framework.applications.nlp.TextClassifier

Trains a Machine Learning modeler using the provided dataset files.

FS_KEY - Static variable in class com.datumbox.framework.applications.datamodeling.Modeler

Key for Feature Selection.

G

getAlphaWindowSizeFor2DModel() - Method in class com.datumbox.framework.applications.nlp.CETR.Parameters

Getter for the alpha parameter which is the window size used in the moving average of the 2D model.

getCategoricalEncoderTrainingParameters() - Method in class com.datumbox.framework.applications.datamodeling.Modeler.TrainingParameters

Getter for the Training Parameters of the categorical encoder.

getFeatureSelectorTrainingParametersList() - Method in class com.datumbox.framework.applications.datamodeling.Modeler.TrainingParameters

Getter for the Training Parameters of the Feature Selectors.

getModelerTrainingParameters() - Method in class com.datumbox.framework.applications.datamodeling.Modeler.TrainingParameters

Getter for the Training Parameters of the Machine Learning modeler.

getNumberOfClusters() - Method in class com.datumbox.framework.applications.nlp.CETR.Parameters

Getter for the number of clusters that will be used by the clustering algorithm

getNumericalScalerTrainingParameters() - Method in class com.datumbox.framework.applications.datamodeling.Modeler.TrainingParameters

Getter for the Training Parameters of the numerical scaler.

getSmoothingAverageRadius() - Method in class com.datumbox.framework.applications.nlp.CETR.Parameters

Getter for the smoothing average radius.

getTextExtractorParameters() - Method in class com.datumbox.framework.applications.nlp.TextClassifier.TrainingParameters

Getter for the Text Extractor AbstractParameters.

I

isParallelized() - Method in class com.datumbox.framework.applications.datamodeling.Modeler

M

ML_KEY - Static variable in class com.datumbox.framework.applications.datamodeling.Modeler

Key for Modeling.

Modeler - Class in com.datumbox.framework.applications.datamodeling

Modeler is a convenience class which can be used to train Machine Learning models.

Modeler(Modeler.TrainingParameters, Configuration) - Constructor for class com.datumbox.framework.applications.datamodeling.Modeler

Modeler(String, Configuration) - Constructor for class com.datumbox.framework.applications.datamodeling.Modeler

Modeler.ModelParameters - Class in com.datumbox.framework.applications.datamodeling

It contains all the Model Parameters which are learned during the training.

Modeler.TrainingParameters - Class in com.datumbox.framework.applications.datamodeling

It contains the Training Parameters of the Modeler.

ModelParameters(StorageEngine) - Constructor for class com.datumbox.framework.applications.datamodeling.Modeler.ModelParameters

ModelParameters(StorageEngine) - Constructor for class com.datumbox.framework.applications.nlp.TextClassifier.ModelParameters

N

NS_KEY - Static variable in class com.datumbox.framework.applications.datamodeling.Modeler

Key for Numeric Scaling.

P

Parameters() - Constructor for class com.datumbox.framework.applications.nlp.CETR.Parameters

pipeline - Variable in class com.datumbox.framework.applications.datamodeling.Modeler

The steps of the pipeline.

predict(String) - Method in class com.datumbox.framework.applications.nlp.TextClassifier

It generates a prediction for a particular string.

predict(URI) - Method in class com.datumbox.framework.applications.nlp.TextClassifier

Generates a Dataframe with the predictions for the provided data file.

S

save(String) - Method in class com.datumbox.framework.applications.datamodeling.Modeler

setAlphaWindowSizeFor2DModel(int) - Method in class com.datumbox.framework.applications.nlp.CETR.Parameters

Setter for the alpha parameter which is the window size used in the moving average of the 2D model.

setCategoricalEncoderTrainingParameters(AbstractTrainer.AbstractTrainingParameters) - Method in class com.datumbox.framework.applications.datamodeling.Modeler.TrainingParameters

Setter for the Training Parameters of the categorical encoder.

setFeatureSelectorTrainingParametersList(List<AbstractTrainer.AbstractTrainingParameters>) - Method in class com.datumbox.framework.applications.datamodeling.Modeler.TrainingParameters

Setter for the Training Parameters of the Feature Selectors.

setModelerTrainingParameters(AbstractTrainer.AbstractTrainingParameters) - Method in class com.datumbox.framework.applications.datamodeling.Modeler.TrainingParameters

Setter for the Training Parameters of the Machine Learning modeler.

setNumberOfClusters(int) - Method in class com.datumbox.framework.applications.nlp.CETR.Parameters

Setter for the number of clusters that will be used by the clustering algorithm

setNumericalScalerTrainingParameters(AbstractScaler.AbstractTrainingParameters) - Method in class com.datumbox.framework.applications.datamodeling.Modeler.TrainingParameters

Setter for the Training Parameters of the numerical scaler.

setParallelized(boolean) - Method in class com.datumbox.framework.applications.datamodeling.Modeler

setSmoothingAverageRadius(int) - Method in class com.datumbox.framework.applications.nlp.CETR.Parameters

Setter for the smoothing average radius.

setTextExtractorParameters(AbstractTextExtractor.AbstractParameters) - Method in class com.datumbox.framework.applications.nlp.TextClassifier.TrainingParameters

Setter for the Text Extractor AbstractParameters.

T

TextClassifier - Class in com.datumbox.framework.applications.nlp

TextClassifier is a convenience class which can be used to train Text ClassificationMetrics models.

TextClassifier(TextClassifier.TrainingParameters, Configuration) - Constructor for class com.datumbox.framework.applications.nlp.TextClassifier

TextClassifier(String, Configuration) - Constructor for class com.datumbox.framework.applications.nlp.TextClassifier

TextClassifier.ModelParameters - Class in com.datumbox.framework.applications.nlp

It contains all the Model AbstractParameters which are learned during the training.

TextClassifier.TrainingParameters - Class in com.datumbox.framework.applications.nlp

It contains the Training AbstractParameters of the Text Classifier.

TrainingParameters() - Constructor for class com.datumbox.framework.applications.datamodeling.Modeler.TrainingParameters

TrainingParameters() - Constructor for class com.datumbox.framework.applications.nlp.TextClassifier.TrainingParameters

V

validate(Dataframe) - Method in class com.datumbox.framework.applications.nlp.TextClassifier

It validates the modeler using the provided dataset and it returns the ClassificationMetrics.

validate(Map<Object, URI>) - Method in class com.datumbox.framework.applications.nlp.TextClassifier

It validates the modeler using the provided dataset files.

_

_fit(Dataframe) - Method in class com.datumbox.framework.applications.datamodeling.Modeler

_predict(Dataframe) - Method in class com.datumbox.framework.applications.datamodeling.Modeler

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