程序包 org.apache.flink.ml.feature.countvectorizer

类 CountVectorizer

java.lang.Object

org.apache.flink.ml.feature.countvectorizer.CountVectorizer

所有已实现的接口:

Serializable, org.apache.flink.ml.api.Estimator<CountVectorizer,CountVectorizerModel>, org.apache.flink.ml.api.Stage<CountVectorizer>, org.apache.flink.ml.common.param.HasInputCol<CountVectorizer>, org.apache.flink.ml.common.param.HasOutputCol<CountVectorizer>, CountVectorizerModelParams<CountVectorizer>, CountVectorizerParams<CountVectorizer>, org.apache.flink.ml.param.WithParams<CountVectorizer>

public class CountVectorizer
extends Object
implements org.apache.flink.ml.api.Estimator<CountVectorizer,CountVectorizerModel>, CountVectorizerParams<CountVectorizer>

An Estimator which converts a collection of text documents to vectors of token counts. When an a-priori dictionary is not available, CountVectorizer can be used as an estimator to extract the vocabulary, and generates a CountVectorizerModel. The model produces sparse representations for the documents over the vocabulary, which can then be passed to other algorithms like LDA.

另请参阅:

序列化表格

字段概要

从接口继承的字段 org.apache.flink.ml.feature.countvectorizer.CountVectorizerModelParams

BINARY, MIN_TF

从接口继承的字段 org.apache.flink.ml.feature.countvectorizer.CountVectorizerParams

MAX_DF, MIN_DF, VOCABULARY_SIZE

从接口继承的字段 org.apache.flink.ml.common.param.HasInputCol

INPUT_COL

从接口继承的字段 org.apache.flink.ml.common.param.HasOutputCol

OUTPUT_COL

构造器概要

构造器

构造器	说明
CountVectorizer()

方法概要

修饰符和类型	方法	说明
CountVectorizerModel	fit(org.apache.flink.table.api.Table... inputs)
Map<org.apache.flink.ml.param.Param<?>,Object>	getParamMap()
static CountVectorizer	load(org.apache.flink.table.api.bridge.java.StreamTableEnvironment tEnv, String path)
void	save(String path)

从类继承的方法 java.lang.Object

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

从接口继承的方法 org.apache.flink.ml.feature.countvectorizer.CountVectorizerModelParams

getBinary, getMinTF, setBinary, setMinTF

从接口继承的方法 org.apache.flink.ml.feature.countvectorizer.CountVectorizerParams

getMaxDF, getMinDF, getVocabularySize, setMaxDF, setMinDF, setVocabularySize

从接口继承的方法 org.apache.flink.ml.common.param.HasInputCol

getInputCol, setInputCol

从接口继承的方法 org.apache.flink.ml.common.param.HasOutputCol

getOutputCol, setOutputCol

从接口继承的方法 org.apache.flink.ml.param.WithParams

get, getParam, set

构造器详细资料

CountVectorizer

public CountVectorizer()

方法详细资料

fit

public CountVectorizerModel fit(org.apache.flink.table.api.Table... inputs)

指定者:

fit 在接口中 org.apache.flink.ml.api.Estimator<CountVectorizer,CountVectorizerModel>

getParamMap

public Map<org.apache.flink.ml.param.Param<?>,Object> getParamMap()

指定者:

getParamMap 在接口中 org.apache.flink.ml.param.WithParams<CountVectorizer>

save

public void save(String path)
          throws IOException

指定者:

save 在接口中 org.apache.flink.ml.api.Stage<CountVectorizer>

抛出:

IOException

load

public static CountVectorizer load(org.apache.flink.table.api.bridge.java.StreamTableEnvironment tEnv,
                                   String path)
                            throws IOException

抛出:

IOException