Class DataframeAnalysisFeatureProcessorNGramEncoding.Builder
java.lang.Object
co.elastic.clients.elasticsearch.ml.DataframeAnalysisFeatureProcessorNGramEncoding.Builder
- All Implemented Interfaces:
ObjectBuilder<DataframeAnalysisFeatureProcessorNGramEncoding>
- Enclosing class:
- DataframeAnalysisFeatureProcessorNGramEncoding
public static class DataframeAnalysisFeatureProcessorNGramEncoding.Builder extends java.lang.Object implements ObjectBuilder<DataframeAnalysisFeatureProcessorNGramEncoding>
Builder for
DataframeAnalysisFeatureProcessorNGramEncoding
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Constructor Summary
Constructors Constructor Description Builder()
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Method Summary
Modifier and Type Method Description DataframeAnalysisFeatureProcessorNGramEncoding.Builder
addNGrams(java.lang.Integer value)
Add a value tonGrams(List)
, creating the list if needed.DataframeAnalysisFeatureProcessorNGramEncoding
build()
DataframeAnalysisFeatureProcessorNGramEncoding.Builder
custom(java.lang.Boolean value)
API name:custom
DataframeAnalysisFeatureProcessorNGramEncoding.Builder
featurePrefix(java.lang.String value)
The feature name prefix.DataframeAnalysisFeatureProcessorNGramEncoding.Builder
field(java.lang.String value)
Required - The name of the text field to encode.DataframeAnalysisFeatureProcessorNGramEncoding.Builder
length(java.lang.Integer value)
Specifies the length of the n-gram substring.DataframeAnalysisFeatureProcessorNGramEncoding.Builder
nGrams(java.lang.Integer... value)
Required - Specifies which n-grams to gather.DataframeAnalysisFeatureProcessorNGramEncoding.Builder
nGrams(java.util.List<java.lang.Integer> value)
Required - Specifies which n-grams to gather.DataframeAnalysisFeatureProcessorNGramEncoding.Builder
start(java.lang.Integer value)
Specifies the zero-indexed start of the n-gram substring.Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
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Constructor Details
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Builder
public Builder()
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Method Details
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featurePrefix
public DataframeAnalysisFeatureProcessorNGramEncoding.Builder featurePrefix(@Nullable java.lang.String value)The feature name prefix. Defaults to ngram_<start>_<length>.API name:
feature_prefix
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field
Required - The name of the text field to encode.API name:
field
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length
public DataframeAnalysisFeatureProcessorNGramEncoding.Builder length(@Nullable java.lang.Integer value)Specifies the length of the n-gram substring. Defaults to 50. Must be greater than 0.API name:
length
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nGrams
public DataframeAnalysisFeatureProcessorNGramEncoding.Builder nGrams(java.util.List<java.lang.Integer> value)Required - Specifies which n-grams to gather. It’s an array of integer values where the minimum value is 1, and a maximum value is 5.API name:
n_grams
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nGrams
Required - Specifies which n-grams to gather. It’s an array of integer values where the minimum value is 1, and a maximum value is 5.API name:
n_grams
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addNGrams
Add a value tonGrams(List)
, creating the list if needed. -
start
public DataframeAnalysisFeatureProcessorNGramEncoding.Builder start(@Nullable java.lang.Integer value)Specifies the zero-indexed start of the n-gram substring. Negative values are allowed for encoding n-grams of string suffixes. Defaults to 0.API name:
start
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custom
public DataframeAnalysisFeatureProcessorNGramEncoding.Builder custom(@Nullable java.lang.Boolean value)API name:custom
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build
- Specified by:
build
in interfaceObjectBuilder<DataframeAnalysisFeatureProcessorNGramEncoding>
- Throws:
java.lang.NullPointerException
- if some of the required fields are null.
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