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

类 FeatureHasher

java.lang.Object

org.apache.flink.ml.feature.featurehasher.FeatureHasher

所有已实现的接口:

Serializable, org.apache.flink.ml.api.AlgoOperator<FeatureHasher>, org.apache.flink.ml.api.Stage<FeatureHasher>, org.apache.flink.ml.api.Transformer<FeatureHasher>, org.apache.flink.ml.common.param.HasCategoricalCols<FeatureHasher>, org.apache.flink.ml.common.param.HasInputCols<FeatureHasher>, org.apache.flink.ml.common.param.HasNumFeatures<FeatureHasher>, org.apache.flink.ml.common.param.HasOutputCol<FeatureHasher>, FeatureHasherParams<FeatureHasher>, org.apache.flink.ml.param.WithParams<FeatureHasher>

public class FeatureHasher
extends Object
implements org.apache.flink.ml.api.Transformer<FeatureHasher>, FeatureHasherParams<FeatureHasher>

A Transformer that transforms a set of categorical or numerical features into a sparse vector of a specified dimension. The rules of hashing categorical columns and numerical columns are as follows:

• For numerical columns, the index of this feature in the output vector is the hash value of the column name and its correponding value is the same as the input.
• For categorical columns, the index of this feature in the output vector is the hash value of the string "column_name=value" and the corresponding value is 1.0.

If multiple features are projected into the same column, the output values are accumulated. For the hashing trick, see https://en.wikipedia.org/wiki/Feature_hashing for details.

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.common.param.HasCategoricalCols

CATEGORICAL_COLS

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

INPUT_COLS

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

NUM_FEATURES

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
FeatureHasher()

方法概要

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

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.common.param.HasCategoricalCols

getCategoricalCols, setCategoricalCols

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

getInputCols, setInputCols

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

getNumFeatures, setNumFeatures

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

FeatureHasher

public FeatureHasher()

方法详细资料

transform

public org.apache.flink.table.api.Table[] transform(org.apache.flink.table.api.Table... inputs)

指定者:

transform 在接口中 org.apache.flink.ml.api.AlgoOperator<FeatureHasher>

save

public void save(String path)
          throws IOException

指定者:

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

抛出:

IOException

load

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

抛出:

IOException

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<FeatureHasher>