Package org.apache.lucene.search.suggest.analyzing

# Class FreeTextSuggester

java.lang.Object
org.apache.lucene.search.suggest.Lookup
org.apache.lucene.search.suggest.analyzing.FreeTextSuggester

All Implemented Interfaces:
  `Accountable`

public class FreeTextSuggester extends Lookup
Builds an ngram model from the text sent to `build(org.apache.lucene.search.suggest.InputIterator)` and predicts based on the last grams-1 tokens in the request sent to `lookup(java.lang.CharSequence, boolean, int)`. This tries to handle the "long tail" of suggestions for when the incoming query is a never before seen query string.

Likely this suggester would only be used as a fallback, when the primary suggester fails to find any suggestions.

Note that the weight for each suggestion is unused, and the suggestions are the analyzed forms (so your analysis process should normally be very "light").

This uses the stupid backoff language model to smooth scores across ngram models; see "Large language models in machine translation", http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.76.1126 for details.

From `lookup(java.lang.CharSequence, boolean, int)`, the key of each result is the ngram token; the value is Long.MAX_VALUE * score (fixed point, cast to long). Divide by Long.MAX_VALUE to get the score back, which ranges from 0.0 to 1.0.

onlyMorePopular is unused.

WARNING: This API is experimental and might change in incompatible ways in the next release.

## Nested Class Summary

## Nested classes/interfaces inherited from class org.apache.lucene.search.suggest.Lookup

`Lookup.LookupPriorityQueue, Lookup.LookupResult`

## Field Summary

Fields
Modifier and Type
Field
Description
`static final double`
`ALPHA`
The constant used for backoff smoothing; during lookup, this means that if a given trigram did not occur, and we backoff to the bigram, the overall score will be 0.4 times what the bigram model would have assigned.
`static final String`
`CODEC_NAME`
Codec name used in the header for the saved model.
`static final int`
`DEFAULT_GRAMS`
By default we use a bigram model.
`static final byte`
`DEFAULT_SEPARATOR`
The default character used to join multiple tokens into a single ngram token.
`static final int`
`VERSION_CURRENT`
Current version of the saved model file format.
`static final int`
`VERSION_START`
Initial version of the saved model file format.

### Fields inherited from class org.apache.lucene.search.suggest.Lookup

`CHARSEQUENCE_COMPARATOR`

### Fields inherited from interface org.apache.lucene.util.Accountable

`NULL_ACCOUNTABLE`

## Constructor Summary

Constructors
Constructor
Description
`FreeTextSuggester(Analyzer analyzer)`
Instantiate, using the provided analyzer for both indexing and lookup, using bigram model by default.
`FreeTextSuggester(Analyzer indexAnalyzer, Analyzer queryAnalyzer)`
Instantiate, using the provided indexing and lookup analyzers, using bigram model by default.
`FreeTextSuggester(Analyzer indexAnalyzer, Analyzer queryAnalyzer, int grams)`
Instantiate, using the provided indexing and lookup analyzers, with the specified model (2 = bigram, 3 = trigram, etc.).
`FreeTextSuggester(Analyzer indexAnalyzer, Analyzer queryAnalyzer, int grams, byte separator)`
Instantiate, using the provided indexing and lookup analyzers, and specified model (2 = bigram, 3 = trigram ,etc.).

## Method Summary

Modifier and Type
Method
Description
`void`
`build(InputIterator iterator)`
Builds up a new internal `Lookup` representation based on the given `InputIterator`.
`void`
`build(InputIterator iterator, double ramBufferSizeMB)`
Build the suggest index, using up to the specified amount of temporary RAM while building.
`Object`
`get(CharSequence key)`
Returns the weight associated with an input string, or null if it does not exist.
`Collection<Accountable>`
`getChildResources()`
`long`
`getCount()`
Get the number of entries the lookup was built with
`boolean`
`load(DataInput input)`
Discard current lookup data and load it from a previously saved copy.
`List<Lookup.LookupResult>`
`lookup(CharSequence key, boolean onlyMorePopular, int num)`
Look up a key and return possible completion for this key.
`List<Lookup.LookupResult>`
`lookup(CharSequence key, int num)`
Lookup, without any context.
`List<Lookup.LookupResult>`
`lookup(CharSequence key, Set<BytesRef> contexts, boolean onlyMorePopular, int num)`
Look up a key and return possible completion for this key.
`List<Lookup.LookupResult>`
`lookup(CharSequence key, Set<BytesRef> contexts, int num)`
Retrieve suggestions.
`long`
`ramBytesUsed()`
Returns byte size of the underlying FST.
`boolean`
`store(DataOutput output)`
Persist the constructed lookup data to a directory.

### Methods inherited from class org.apache.lucene.search.suggest.Lookup

`build, load, lookup, store`

### Methods inherited from class java.lang.Object

`clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait`

## Field Details

### CODEC_NAME

public static final String CODEC_NAME
Codec name used in the header for the saved model.

See Also:
  - Constant Field Values

### VERSION_START

public static final int VERSION_START
Initial version of the saved model file format.

See Also:
  - Constant Field Values

### VERSION_CURRENT

public static final int VERSION_CURRENT
Current version of the saved model file format.

See Also:
  - Constant Field Values

### DEFAULT_GRAMS

public static final int DEFAULT_GRAMS
By default we use a bigram model.

See Also:
  - Constant Field Values

### ALPHA

public static final double ALPHA
The constant used for backoff smoothing; during lookup, this means that if a given trigram did not occur, and we backoff to the bigram, the overall score will be 0.4 times what the bigram model would have assigned.

See Also:
  - Constant Field Values

### DEFAULT_SEPARATOR

public static final byte DEFAULT_SEPARATOR
The default character used to join multiple tokens into a single ngram token. The input tokens produced by the analyzer must not contain this character.

See Also:
  - Constant Field Values

## Constructor Details

### FreeTextSuggester

public FreeTextSuggester(Analyzer analyzer)
Instantiate, using the provided analyzer for both indexing and lookup, using bigram model by default.

### FreeTextSuggester

public FreeTextSuggester(Analyzer indexAnalyzer, Analyzer queryAnalyzer)
Instantiate, using the provided indexing and lookup analyzers, using bigram model by default.

### FreeTextSuggester

public FreeTextSuggester(Analyzer indexAnalyzer, Analyzer queryAnalyzer, int grams)
Instantiate, using the provided indexing and lookup analyzers, with the specified model (2 = bigram, 3 = trigram, etc.).

### FreeTextSuggester

public FreeTextSuggester(Analyzer indexAnalyzer, Analyzer queryAnalyzer, int grams, byte separator)
Instantiate, using the provided indexing and lookup analyzers, and specified model (2 = bigram, 3 = trigram ,etc.). The separator is passed to `ShingleFilter.setTokenSeparator(java.lang.String)` to join multiple tokens into a single ngram token; it must be an ascii (7-bit-clean) byte. No input tokens should have this byte, otherwise `IllegalArgumentException` is thrown.

## Method Details

### ramBytesUsed

public long ramBytesUsed()
Returns byte size of the underlying FST.

### getChildResources

public Collection<Accountable> getChildResources()

### build

public void build(InputIterator iterator) throws IOException
Description copied from class: `Lookup`
Builds up a new internal `Lookup` representation based on the given `InputIterator`. The implementation might re-sort the data internally.

Specified by:
  `build` in class `Lookup`
Throws:
  `IOException`

### build

public void build(InputIterator iterator, double ramBufferSizeMB) throws IOException
Build the suggest index, using up to the specified amount of temporary RAM while building. Note that the weights for the suggestions are ignored.

Throws:
  `IOException`

### store

public boolean store(DataOutput output) throws IOException
Description copied from class: `Lookup`
Persist the constructed lookup data to a directory. Optional operation.

Specified by:
  `store` in class `Lookup`
Parameters:
  `output` - `DataOutput` to write the data to.
Returns:
  true if successful, false if unsuccessful or not supported.
Throws:
  `IOException` - when fatal IO error occurs.

### load

public boolean load(DataInput input) throws IOException
Description copied from class: `Lookup`
Discard current lookup data and load it from a previously saved copy. Optional operation.

Specified by:
  `load` in class `Lookup`
Parameters:
  `input` - the `DataInput` to load the lookup data.
Returns:
  true if completed successfully, false if unsuccessful or not supported.
Throws:
  `IOException` - when fatal IO error occurs.

### lookup

public List<Lookup.LookupResult> lookup(CharSequence key, boolean onlyMorePopular, int num)
Description copied from class: `Lookup`
Look up a key and return possible completion for this key.

Overrides:
  `lookup` in class `Lookup`
Parameters:
  `key` - lookup key. Depending on the implementation this may be a prefix, misspelling, or even infix.
  `onlyMorePopular` - return only more popular results
  `num` - maximum number of results to return
Returns:
  a list of possible completions, with their relative weight (e.g. popularity)

### lookup

public List<Lookup.LookupResult> lookup(CharSequence key, int num)
Lookup, without any context.

### lookup

public List<Lookup.LookupResult> lookup(CharSequence key, Set<BytesRef> contexts, boolean onlyMorePopular, int num)
Description copied from class: `Lookup`
Look up a key and return possible completion for this key.

Specified by:
  `lookup` in class `Lookup`
Parameters:
  `key` - lookup key. Depending on the implementation this may be a prefix, misspelling, or even infix.
  `contexts` - contexts to filter the lookup by, or null if all contexts are allowed; if the suggestion contains any of the contexts, it's a match
  `onlyMorePopular` - return only more popular results
  `num` - maximum number of results to return
Returns:
  a list of possible completions, with their relative weight (e.g. popularity)

### getCount

public long getCount()
Description copied from class: `Lookup`
Get the number of entries the lookup was built with

Specified by:
  `getCount` in class `Lookup`
Returns:
  total number of suggester entries

### lookup

public List<Lookup.LookupResult> lookup(CharSequence key, Set<BytesRef> contexts, int num) throws IOException
Retrieve suggestions.

Throws:
  `IOException`

### get

public Object get(CharSequence key)
Returns the weight associated with an input string, or null if it does not exist.