| Package | Description |
|---|---|
| com.aliasi.chunk |
Classes for extracting meaningful chunks (spans) of text.
|
| com.aliasi.classify |
Classes for classifying data and evaluation.
|
| com.aliasi.cluster |
Classes for clustering data and evaluation.
|
| com.aliasi.features |
Classes for extracting feature vectors from objects and parsing
objects for feature handlers.
|
| com.aliasi.sentences |
Classes for sentence-boundary detection.
|
| com.aliasi.spell |
Classes for spelling correction and edit distance.
|
| com.aliasi.tag |
Classes and interfaces for sequence tagging, including evaluators.
|
| Class and Description |
|---|
| PrecisionRecallEvaluation
A
PrecisionRecallEvaluation collects and reports a
suite of descriptive statistics for binary classification tasks. |
| ScoredPrecisionRecallEvaluation
A
ScoredPrecisionRecallEvaluation provides an
evaluation based on the precision-recall operating points and
sensitivity-specificity operating points. |
| Class and Description |
|---|
| BaseClassifier
The
BaseClassifier interface specifies a single method for
first-best classification. |
| BaseClassifierEvaluator
A
BaseClassifierEvaluator provides an evaluation harness
for first-best classifiers. |
| Classification
A
Classification provides a first-best category. |
| Classified
A
Classified represents an object that has been classified
with a first-best classification. |
| ConditionalClassification
A
ConditionalClassification is a scored classification
which estimates conditional probabilities of categories given an
input. |
| ConditionalClassifier
The
ConditionalClassifier interface specifies a single method
for n-best classification with conditional category probabilities. |
| ConditionalClassifierEvaluator
A
ConditionalClassifierEvaluator provides an evaluation
harness for conditional probability-based n-best classifiers. |
| ConfusionMatrix
An instance of
ConfusionMatrix represents a
quantitative comparison between two classifiers over a fixed set of
categories on a number of test cases. |
| DynamicLMClassifier
A
DynamicLMClassifier is a language model classifier
that accepts training events of categorized character sequences. |
| JointClassification
A
JointClassification is a conditional classification
derived from a joint probability assignment to each category and
the object being classified. |
| JointClassifier
The
JointClassifier interface specifies a single method for
n-best classification with joint input and category probabilities. |
| LMClassifier
An
LMClassifier performs joint probability-based
classification of character sequences into non-overlapping
categories based on language models for each category and a
multivariate distribution over categories. |
| LogisticRegressionClassifier
A
LogisticRegressionClassifier provides conditional
probability classifications of input objects using an underlying
logistic regression model and feature extractor. |
| PrecisionRecallEvaluation
A
PrecisionRecallEvaluation collects and reports a
suite of descriptive statistics for binary classification tasks. |
| RankedClassification
A
RankedClassification provides a classification with
an ordered n-best list of category results. |
| RankedClassifier
The
RankedClassifier interface specifies a single
classification method that returns n-best classifications of
inputs. |
| RankedClassifierEvaluator
A
RankedClassifierEvaluator provides an evaluation harness for
ranked classifiers. |
| ScoredClassification
A
ScoredClassification is a ranked classification
where each category also has a score that determines the ranking. |
| ScoredClassifier
The
ScoredClassifier interface specifies a single method for
n-best scored classification. |
| ScoredClassifierEvaluator
A
ScoredClassifierEvaluator provides an evaluation harness for
score-based classifiers. |
| ScoredPrecisionRecallEvaluation
A
ScoredPrecisionRecallEvaluation provides an
evaluation based on the precision-recall operating points and
sensitivity-specificity operating points. |
| TradNaiveBayesClassifier
A
TradNaiveBayesClassifier implements a traditional
token-based approach to naive Bayes text classification. |
| Class and Description |
|---|
| PrecisionRecallEvaluation
A
PrecisionRecallEvaluation collects and reports a
suite of descriptive statistics for binary classification tasks. |
| Class and Description |
|---|
| Classified
A
Classified represents an object that has been classified
with a first-best classification. |
| Class and Description |
|---|
| PrecisionRecallEvaluation
A
PrecisionRecallEvaluation collects and reports a
suite of descriptive statistics for binary classification tasks. |
| Class and Description |
|---|
| ConfusionMatrix
An instance of
ConfusionMatrix represents a
quantitative comparison between two classifiers over a fixed set of
categories on a number of test cases. |
| Class and Description |
|---|
| BaseClassifierEvaluator
A
BaseClassifierEvaluator provides an evaluation harness
for first-best classifiers. |
| ConditionalClassification
A
ConditionalClassification is a scored classification
which estimates conditional probabilities of categories given an
input. |
| ConditionalClassifierEvaluator
A
ConditionalClassifierEvaluator provides an evaluation
harness for conditional probability-based n-best classifiers. |
Copyright © 2016 Alias-i, Inc.. All rights reserved.