Package | Description |
---|---|
org.tribuo.classification.explanations.lime |
Provides an implementation of LIME (Locally Interpretable Model Explanations).
|
org.tribuo.data.columnar.processors.field |
Provides implementations of
FieldProcessor . |
org.tribuo.data.text | |
org.tribuo.data.text.impl |
Provides implementations of text data processors.
|
org.tribuo.interop.onnx.extractors |
Provides feature extraction implementations which use ONNX models.
|
Class and Description |
---|
TextFeatureExtractor
An interface for things that take text and turn them into examples that we
can use to train or evaluate a classifier.
|
Class and Description |
---|
TextPipeline
A pipeline that takes a String and returns a List of
Feature s. |
Class and Description |
---|
DocumentPreprocessor
An interface for things that can pre-process documents before they are
broken into features.
|
TextFeatureExtractor
An interface for things that take text and turn them into examples that we
can use to train or evaluate a classifier.
|
TextProcessingException
An exception thrown by the text processing system.
|
Class and Description |
---|
DocumentPreprocessor
An interface for things that can pre-process documents before they are
broken into features.
|
FeatureAggregator
An interface for aggregating feature values into other values.
|
FeatureTransformer
A feature transformer maps a list of features to a new list of features
Useful for example to apply the hashing trick to a set of features
|
TextDataSource
A base class for textual data sets.
|
TextFeatureExtractor
An interface for things that take text and turn them into examples that we
can use to train or evaluate a classifier.
|
TextPipeline
A pipeline that takes a String and returns a List of
Feature s. |
TextProcessingException
An exception thrown by the text processing system.
|
TextProcessor
A TextProcessor takes some text and optionally a feature tag and generates a list of
Feature s from that text. |
Class and Description |
---|
TextFeatureExtractor
An interface for things that take text and turn them into examples that we
can use to train or evaluate a classifier.
|
TextPipeline
A pipeline that takes a String and returns a List of
Feature s. |
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