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

类 VectorIndexer

java.lang.Object

org.apache.flink.ml.feature.vectorindexer.VectorIndexer

所有已实现的接口:

Serializable, org.apache.flink.ml.api.Estimator<VectorIndexer,VectorIndexerModel>, org.apache.flink.ml.api.Stage<VectorIndexer>, org.apache.flink.ml.common.param.HasHandleInvalid<VectorIndexer>, org.apache.flink.ml.common.param.HasInputCol<VectorIndexer>, org.apache.flink.ml.common.param.HasOutputCol<VectorIndexer>, VectorIndexerModelParams<VectorIndexer>, VectorIndexerParams<VectorIndexer>, org.apache.flink.ml.param.WithParams<VectorIndexer>

public class VectorIndexer
extends Object
implements org.apache.flink.ml.api.Estimator<VectorIndexer,VectorIndexerModel>, VectorIndexerParams<VectorIndexer>

An Estimator which implements the vector indexing algorithm.

A vector indexer maps each column of the input vector into a continuous/categorical feature. Whether one feature is transformed into a continuous or categorical feature depends on the number of distinct values in this column. If the number of distinct values in one column is greater than a specified parameter (i.e., maxCategories), the corresponding output column is unchanged. Otherwise, it is transformed into a categorical value. For categorical outputs, the indices are in [0, numDistinctValuesInThisColumn].

The output model is organized in ascending order except that 0.0 is always mapped to 0 (for sparsity). We list two examples here:

• If one column contains {-1.0, 1.0}, then -1.0 should be encoded as 0 and 1.0 will be encoded as 1.
• If one column contains {-1.0, 0.0, 1.0}, then -1.0 should be encoded as 1, 0.0 should be encoded as 0 and 1.0 should be encoded as 2.

The `keep` option of HasHandleInvalid means that we put the invalid entries in a special bucket, whose index is the number of distinct values in this column.

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.HasHandleInvalid

ERROR_INVALID, HANDLE_INVALID, KEEP_INVALID, SKIP_INVALID

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

从接口继承的字段 org.apache.flink.ml.feature.vectorindexer.VectorIndexerParams

MAX_CATEGORIES

构造器概要

构造器

构造器	说明
VectorIndexer()

方法概要

修饰符和类型	方法	说明
VectorIndexerModel	fit(org.apache.flink.table.api.Table... inputs)
Map<org.apache.flink.ml.param.Param<?>,Object>	getParamMap()
static VectorIndexer	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.common.param.HasHandleInvalid

getHandleInvalid, setHandleInvalid

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.feature.vectorindexer.VectorIndexerParams

getMaxCategories, setMaxCategories

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

get, getParam, set

构造器详细资料

VectorIndexer

public VectorIndexer()

方法详细资料

fit

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

指定者:

fit 在接口中 org.apache.flink.ml.api.Estimator<VectorIndexer,VectorIndexerModel>

save

public void save(String path)
          throws IOException

指定者:

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

抛出:

IOException

load

public static VectorIndexer load(org.apache.flink.table.api.bridge.java.StreamTableEnvironment tEnv,
                                 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<VectorIndexer>