A B C D E F G H I L M N O P R S T V Z

A

add(int, int, double) - 类 中的方法org.apache.flink.ml.common.linalg.DenseMatrix

Add the given value to a single element.

add(int, double) - 类 中的方法org.apache.flink.ml.common.linalg.DenseVector

add(int, double) - 类 中的方法org.apache.flink.ml.common.linalg.SparseVector

add(int, double) - 类 中的方法org.apache.flink.ml.common.linalg.Vector

Add the i-th element of the vector by value "val".

AlgoOperator<T extends AlgoOperator<T>> - org.apache.flink.ml.operator中的类

Base class for algorithm operators.

AlgoOperator() - 类 的构造器org.apache.flink.ml.operator.AlgoOperator

Construct the operator with empty Params.

AlgoOperator(Params) - 类 的构造器org.apache.flink.ml.operator.AlgoOperator

Construct the operator with the initial Params.

append(double) - 类 中的方法org.apache.flink.ml.common.linalg.DenseVector

append(double) - 类 中的方法org.apache.flink.ml.common.linalg.SparseVector

append(double) - 类 中的方法org.apache.flink.ml.common.linalg.Vector

Create a new vector by adding an element to the end of the vector.

apply(DenseMatrix, DenseMatrix, Function<Double, Double>) - 类 中的静态方法org.apache.flink.ml.common.linalg.MatVecOp

y = func(x).

apply(DenseMatrix, DenseMatrix, DenseMatrix, BiFunction<Double, Double, Double>) - 类 中的静态方法org.apache.flink.ml.common.linalg.MatVecOp

y = func(x1, x2).

apply(DenseVector, DenseVector, Function<Double, Double>) - 类 中的静态方法org.apache.flink.ml.common.linalg.MatVecOp

y = func(x).

apply(DenseVector, DenseVector, DenseVector, BiFunction<Double, Double, Double>) - 类 中的静态方法org.apache.flink.ml.common.linalg.MatVecOp

y = func(x1, x2).

apply(SparseVector, SparseVector, BiFunction<Double, Double, Double>) - 类 中的静态方法org.apache.flink.ml.common.linalg.MatVecOp

Create a new SparseVector by element wise operation between two SparseVectors. y = func(x1, x2).

applySum(DenseVector, DenseVector, BiFunction<Double, Double, Double>) - 类 中的静态方法org.apache.flink.ml.common.linalg.MatVecOp

\sum_i func(x1_i, x2_i) .

applySum(SparseVector, SparseVector, BiFunction<Double, Double, Double>) - 类 中的静态方法org.apache.flink.ml.common.linalg.MatVecOp

\sum_i func(x1_i, x2_i) .

applySum(DenseVector, SparseVector, BiFunction<Double, Double, Double>) - 类 中的静态方法org.apache.flink.ml.common.linalg.MatVecOp

\sum_i func(x1_i, x2_i) .

applySum(SparseVector, DenseVector, BiFunction<Double, Double, Double>) - 类 中的静态方法org.apache.flink.ml.common.linalg.MatVecOp

\sum_i func(x1_i, x2_i) .

applySum(DenseMatrix, DenseMatrix, BiFunction<Double, Double, Double>) - 类 中的静态方法org.apache.flink.ml.common.linalg.MatVecOp

\sum_ij func(x1_ij, x2_ij) .

assertNumericalCols(TableSchema, String...) - 类 中的静态方法org.apache.flink.ml.common.utils.TableUtil

Check whether colTypes of the selectedCols is numerical, if not, throw exception.

assertSelectedColExist(String[], String...) - 类 中的静态方法org.apache.flink.ml.common.utils.TableUtil

Check whether selectedCols exist or not, if not exist, throw exception.

assertStringCols(TableSchema, String...) - 类 中的静态方法org.apache.flink.ml.common.utils.TableUtil

Check whether colTypes of the selectedCols is string, if not, throw exception.

assertVectorCols(TableSchema, String...) - 类 中的静态方法org.apache.flink.ml.common.utils.TableUtil

Check whether colTypes of the selectedCols is vector, if not, throw exception.

asum(int, double[], int) - 类 中的静态方法org.apache.flink.ml.common.linalg.BLAS

\sum_i |x_i| .

asum(DenseVector) - 类 中的静态方法org.apache.flink.ml.common.linalg.BLAS

\sum_i |x_i| .

asum(SparseVector) - 类 中的静态方法org.apache.flink.ml.common.linalg.BLAS

\sum_i |x_i| .

axpy(double, double[], double[]) - 类 中的静态方法org.apache.flink.ml.common.linalg.BLAS

y += a * x .

axpy(double, DenseVector, DenseVector) - 类 中的静态方法org.apache.flink.ml.common.linalg.BLAS

y += a * x .

axpy(double, SparseVector, DenseVector) - 类 中的静态方法org.apache.flink.ml.common.linalg.BLAS

y += a * x .

axpy(double, DenseMatrix, DenseMatrix) - 类 中的静态方法org.apache.flink.ml.common.linalg.BLAS

y += a * x .

axpy(int, double, double[], int, double[], int) - 类 中的静态方法org.apache.flink.ml.common.linalg.BLAS

y[yOffset:yOffset+n] += a * x[xOffset:xOffset+n] .

B

BatchOperator<T extends BatchOperator<T>> - org.apache.flink.ml.operator.batch中的类

Base class of batch algorithm operators.

BatchOperator() - 类 的构造器org.apache.flink.ml.operator.batch.BatchOperator

BatchOperator(Params) - 类 的构造器org.apache.flink.ml.operator.batch.BatchOperator

The constructor of BatchOperator with Params.

BLAS - org.apache.flink.ml.common.linalg中的类

A utility class that provides BLAS routines over matrices and vectors.

BLAS() - 类 的构造器org.apache.flink.ml.common.linalg.BLAS

BroadcastVariableModelSource - org.apache.flink.ml.common.model中的类

A ModelSource implementation that reads the model from the broadcast variable.

BroadcastVariableModelSource(String) - 类 的构造器org.apache.flink.ml.common.model.BroadcastVariableModelSource

Construct a BroadcastVariableModelSource.

C

checkAndGetFirst(BatchOperator<?>...) - 类 中的静态方法org.apache.flink.ml.operator.batch.BatchOperator

checkAndGetFirst(StreamOperator<?>...) - 类 中的静态方法org.apache.flink.ml.operator.stream.StreamOperator

checkMinOpSize(int, AlgoOperator<?>...) - 类 中的静态方法org.apache.flink.ml.operator.AlgoOperator

checkOpSize(int, AlgoOperator<?>...) - 类 中的静态方法org.apache.flink.ml.operator.AlgoOperator

clone() - 类 中的方法org.apache.flink.ml.common.linalg.DenseMatrix

Clone the Matrix object.

clone() - 类 中的方法org.apache.flink.ml.common.linalg.DenseVector

clone() - 类 中的方法org.apache.flink.ml.common.linalg.SparseVector

clone() - 类 中的方法org.apache.flink.ml.pipeline.ModelBase

clone() - 类 中的方法org.apache.flink.ml.pipeline.PipelineStageBase

columnsToSqlClause(String[]) - 类 中的静态方法org.apache.flink.ml.common.utils.TableUtil

Convert column name array to SQL clause.

D

DataSetConversionUtil - org.apache.flink.ml.common.utils中的类

Provide functions of conversions between DataSet and Table.

DataSetConversionUtil() - 类 的构造器org.apache.flink.ml.common.utils.DataSetConversionUtil

DataStreamConversionUtil - org.apache.flink.ml.common.utils中的类

Provide functions of conversions between DataStream and Table.

DataStreamConversionUtil() - 类 的构造器org.apache.flink.ml.common.utils.DataStreamConversionUtil

DEFAULT_ML_ENVIRONMENT_ID - 类 中的静态变量org.apache.flink.ml.common.MLEnvironmentFactory

The default MLEnvironmentId.

DENSE_VECTOR - 类 中的静态变量org.apache.flink.ml.common.utils.VectorTypes

DenseVector type information.

DenseMatrix - org.apache.flink.ml.common.linalg中的类

DenseMatrix stores dense matrix data and provides some methods to operate on the matrix it represents.

DenseMatrix(int, int) - 类 的构造器org.apache.flink.ml.common.linalg.DenseMatrix

Construct an m-by-n matrix of zeros.

DenseMatrix(int, int, double[]) - 类 的构造器org.apache.flink.ml.common.linalg.DenseMatrix

Construct a matrix from a 1-D array.

DenseMatrix(int, int, double[], boolean) - 类 的构造器org.apache.flink.ml.common.linalg.DenseMatrix

Construct a matrix from a 1-D array.

DenseMatrix(double[][]) - 类 的构造器org.apache.flink.ml.common.linalg.DenseMatrix

Construct a matrix from a 2-D array.

DenseVector - org.apache.flink.ml.common.linalg中的类

A dense vector represented by a values array.

DenseVector() - 类 的构造器org.apache.flink.ml.common.linalg.DenseVector

Create a zero size vector.

DenseVector(int) - 类 的构造器org.apache.flink.ml.common.linalg.DenseVector

Create a size n vector with all elements zero.

DenseVector(double[]) - 类 的构造器org.apache.flink.ml.common.linalg.DenseVector

Create a dense vector with the user provided data.

dot(double[], double[]) - 类 中的静态方法org.apache.flink.ml.common.linalg.BLAS

x \cdot y .

dot(DenseVector, DenseVector) - 类 中的静态方法org.apache.flink.ml.common.linalg.BLAS

x \cdot y .

dot(Vector) - 类 中的方法org.apache.flink.ml.common.linalg.DenseVector

dot(Vector, Vector) - 类 中的静态方法org.apache.flink.ml.common.linalg.MatVecOp

Compute vec1 \cdot vec2 .

dot(Vector) - 类 中的方法org.apache.flink.ml.common.linalg.SparseVector

dot(Vector) - 类 中的方法org.apache.flink.ml.common.linalg.Vector

Compute the dot product with another vector.

E

equals(Object) - 类 中的方法org.apache.flink.ml.common.linalg.DenseVector

equals(Object) - 类 中的方法org.apache.flink.ml.common.linalg.SparseVector

EstimatorBase<E extends EstimatorBase<E,M>,M extends ModelBase<M>> - org.apache.flink.ml.pipeline中的类

The base class for estimator implementations.

EstimatorBase() - 类 的构造器org.apache.flink.ml.pipeline.EstimatorBase

EstimatorBase(Params) - 类 的构造器org.apache.flink.ml.pipeline.EstimatorBase

eye(int) - 类 中的静态方法org.apache.flink.ml.common.linalg.DenseMatrix

Create an identity matrix.

eye(int, int) - 类 中的静态方法org.apache.flink.ml.common.linalg.DenseMatrix

Create a m * n identity matrix.

F

findColIndex(String[], String) - 类 中的静态方法org.apache.flink.ml.common.utils.TableUtil

Find the index of targetCol in string array tableCols.

findColIndex(TableSchema, String) - 类 中的静态方法org.apache.flink.ml.common.utils.TableUtil

Find the index of targetCol from the tableSchema.

findColIndices(String[], String[]) - 类 中的静态方法org.apache.flink.ml.common.utils.TableUtil

Find the indices of targetCols in string array tableCols.

findColIndices(TableSchema, String[]) - 类 中的静态方法org.apache.flink.ml.common.utils.TableUtil

Find the indices of targetCols from the tableSchema.

findColType(TableSchema, String) - 类 中的静态方法org.apache.flink.ml.common.utils.TableUtil

Find the type of the targetCol.

findColTypes(TableSchema, String[]) - 类 中的静态方法org.apache.flink.ml.common.utils.TableUtil

Find the types of the targetCols.

fit(TableEnvironment, Table) - 类 中的方法org.apache.flink.ml.pipeline.EstimatorBase

fit(Table) - 类 中的方法org.apache.flink.ml.pipeline.EstimatorBase

Train and produce a ModelBase which fits the records in the given Table.

fit(BatchOperator) - 类 中的方法org.apache.flink.ml.pipeline.EstimatorBase

Train and produce a ModelBase which fits the records from the given BatchOperator.

fit(StreamOperator) - 类 中的方法org.apache.flink.ml.pipeline.EstimatorBase

Online learning and produce ModelBase series which fit the streaming records from the given StreamOperator.

format(String[], List<Row>) - 类 中的静态方法org.apache.flink.ml.common.utils.TableUtil

format the column names and rows in table as markdown.

formatRows(Row) - 类 中的静态方法org.apache.flink.ml.common.utils.TableUtil

format the row as body of markdown.

formatTitle(String[]) - 类 中的静态方法org.apache.flink.ml.common.utils.TableUtil

format the column names as header of markdown.

fromTable(Long, Table) - 类 中的静态方法org.apache.flink.ml.common.utils.DataSetConversionUtil

Convert the given Table to DataSet<Row>.

fromTable(Long, Table) - 类 中的静态方法org.apache.flink.ml.common.utils.DataStreamConversionUtil

Convert the given Table to DataStream<Row>.

fromTable(Table) - 类 中的静态方法org.apache.flink.ml.operator.batch.BatchOperator

create a new BatchOperator from table.

fromTable(Table) - 类 中的静态方法org.apache.flink.ml.operator.stream.StreamOperator

create a new StreamOperator from table.

G

gemm(double, DenseMatrix, boolean, DenseMatrix, boolean, double, DenseMatrix) - 类 中的静态方法org.apache.flink.ml.common.linalg.BLAS

C := alpha * A * B + beta * C .

gemv(double, DenseMatrix, boolean, DenseVector, double, DenseVector) - 类 中的静态方法org.apache.flink.ml.common.linalg.BLAS

y := alpha * A * x + beta * y .

gemv(double, DenseMatrix, boolean, SparseVector, double, DenseVector) - 类 中的静态方法org.apache.flink.ml.common.linalg.BLAS

y := alpha * A * x + beta * y .

get(int, int) - 类 中的方法org.apache.flink.ml.common.linalg.DenseMatrix

Get a single element.

get(int) - 类 中的方法org.apache.flink.ml.common.linalg.DenseVector

get(int) - 类 中的方法org.apache.flink.ml.common.linalg.SparseVector

get(int) - 类 中的方法org.apache.flink.ml.common.linalg.Vector

Get the i-th element of the vector.

get(Long) - 类 中的静态方法org.apache.flink.ml.common.MLEnvironmentFactory

Get the MLEnvironment using a MLEnvironmentId.

getArrayCopy1D(boolean) - 类 中的方法org.apache.flink.ml.common.linalg.DenseMatrix

Get all matrix data, returned as a 1-D array.

getArrayCopy2D() - 类 中的方法org.apache.flink.ml.common.linalg.DenseMatrix

Get all the matrix data, returned as a 2-D array.

getBatchTableEnvironment() - 类 中的方法org.apache.flink.ml.common.MLEnvironment

Get the BatchTableEnvironment. if the BatchTableEnvironment has not been set, it initial the BatchTableEnvironment with default Configuration.

getCategoricalCols(TableSchema, String[], String[]) - 类 中的静态方法org.apache.flink.ml.common.utils.TableUtil

Get the columns from featureCols who are included in the categoricalCols, and the columns whose types are string or boolean.

getColNames() - 类 中的方法org.apache.flink.ml.operator.AlgoOperator

Returns the column names of the output table.

getColTypes() - 类 中的方法org.apache.flink.ml.operator.AlgoOperator

Returns the column types of the output table.

getColumn(int) - 类 中的方法org.apache.flink.ml.common.linalg.DenseMatrix

Get one column.

getData() - 类 中的方法org.apache.flink.ml.common.linalg.DenseMatrix

Get the data array of this matrix.

getData() - 类 中的方法org.apache.flink.ml.common.linalg.DenseVector

Get the data array.

getDataSchema() - 类 中的方法org.apache.flink.ml.common.mapper.Mapper

Get the schema of input rows.

getDefault() - 类 中的静态方法org.apache.flink.ml.common.MLEnvironmentFactory

Get the MLEnvironment use the default MLEnvironmentId.

getExecutionEnvironment() - 类 中的方法org.apache.flink.ml.common.MLEnvironment

Get the ExecutionEnvironment. if the ExecutionEnvironment has not been set, it initial the ExecutionEnvironment with default Configuration.

getIndex() - 接口 中的方法org.apache.flink.ml.common.linalg.VectorIterator

Returns the index of the element which the cursor points.

getIndices() - 类 中的方法org.apache.flink.ml.common.linalg.SparseVector

Get the indices array.

getMLEnvironmentId() - 接口 中的方法org.apache.flink.ml.params.shared.HasMLEnvironmentId

getModelData() - 类 中的方法org.apache.flink.ml.pipeline.ModelBase

Get model data as Table representation.

getModelRows(RuntimeContext) - 类 中的方法org.apache.flink.ml.common.model.BroadcastVariableModelSource

getModelRows(RuntimeContext) - 接口 中的方法org.apache.flink.ml.common.model.ModelSource

Get the rows that containing the model.

getModelRows(RuntimeContext) - 类 中的方法org.apache.flink.ml.common.model.RowsModelSource

getModelSchema() - 类 中的方法org.apache.flink.ml.common.mapper.ModelMapper

Get the schema of the model rows that are passed to ModelMapper.loadModel(List).

getNewMLEnvironmentId() - 类 中的静态方法org.apache.flink.ml.common.MLEnvironmentFactory

Create a unique MLEnvironment id and register a new MLEnvironment in the factory.

getNumericCols(TableSchema) - 类 中的静态方法org.apache.flink.ml.common.utils.TableUtil

Return the columns in the table whose types are numeric.

getNumericCols(TableSchema, String[]) - 类 中的静态方法org.apache.flink.ml.common.utils.TableUtil

Return the columns in the table whose types are numeric and are not included in the excludeCols.

getOutput() - 类 中的方法org.apache.flink.ml.operator.AlgoOperator

Returns the table held by operator.

getOutputCol() - 接口 中的方法org.apache.flink.ml.params.shared.colname.HasOutputCol

getOutputCol() - 接口 中的方法org.apache.flink.ml.params.shared.colname.HasOutputColDefaultAsNull

getOutputCols() - 接口 中的方法org.apache.flink.ml.params.shared.colname.HasOutputCols

getOutputCols() - 接口 中的方法org.apache.flink.ml.params.shared.colname.HasOutputColsDefaultAsNull

getOutputSchema() - 类 中的方法org.apache.flink.ml.common.mapper.Mapper

Get the schema of the output rows of Mapper.map(Row) method.

getParams() - 类 中的方法org.apache.flink.ml.operator.AlgoOperator

getParams() - 类 中的方法org.apache.flink.ml.pipeline.PipelineStageBase

getPredictionCol() - 接口 中的方法org.apache.flink.ml.params.shared.colname.HasPredictionCol

getPredictionDetailCol() - 接口 中的方法org.apache.flink.ml.params.shared.colname.HasPredictionDetailCol

getReservedCols() - 接口 中的方法org.apache.flink.ml.params.shared.colname.HasReservedCols

getReservedColumns() - 类 中的方法org.apache.flink.ml.common.utils.OutputColsHelper

Get the reserved columns' names.

getResultRow(Row, Row) - 类 中的方法org.apache.flink.ml.common.utils.OutputColsHelper

Merge the input row and the output row.

getResultSchema() - 类 中的方法org.apache.flink.ml.common.utils.OutputColsHelper

Get the result table schema.

getRow(int) - 类 中的方法org.apache.flink.ml.common.linalg.DenseMatrix

Get one row.

getSchema() - 类 中的方法org.apache.flink.ml.operator.AlgoOperator

Returns the schema of the output table.

getSelectedCol() - 接口 中的方法org.apache.flink.ml.params.shared.colname.HasSelectedCol

getSelectedCol() - 接口 中的方法org.apache.flink.ml.params.shared.colname.HasSelectedColDefaultAsNull

getSelectedCols() - 接口 中的方法org.apache.flink.ml.params.shared.colname.HasSelectedCols

getSelectedCols() - 接口 中的方法org.apache.flink.ml.params.shared.colname.HasSelectedColsDefaultAsNull

getSideOutputColNames(int) - 类 中的方法org.apache.flink.ml.operator.AlgoOperator

Get the column names of the specified side-output table.

getSideOutputColTypes(int) - 类 中的方法org.apache.flink.ml.operator.AlgoOperator

Get the column types of the specified side-output table.

getSideOutputs() - 类 中的方法org.apache.flink.ml.operator.AlgoOperator

Returns the side outputs.

getStreamExecutionEnvironment() - 类 中的方法org.apache.flink.ml.common.MLEnvironment

Get the StreamExecutionEnvironment. if the StreamExecutionEnvironment has not been set, it initial the StreamExecutionEnvironment with default Configuration.

getStreamTableEnvironment() - 类 中的方法org.apache.flink.ml.common.MLEnvironment

Get the StreamTableEnvironment. if the StreamTableEnvironment has not been set, it initial the StreamTableEnvironment with default Configuration.

getStringCols(TableSchema) - 类 中的静态方法org.apache.flink.ml.common.utils.TableUtil

Return the columns in the table whose types are string.

getStringCols(TableSchema, String[]) - 类 中的静态方法org.apache.flink.ml.common.utils.TableUtil

Return the columns in the table whose types are string and are not included in the excludeCols.

getSubMatrix(int, int, int, int) - 类 中的方法org.apache.flink.ml.common.linalg.DenseMatrix

Get sub matrix.

getTempTableName() - 类 中的静态方法org.apache.flink.ml.common.utils.TableUtil

Return a temp table named with prefix `temp_`, follow by a random UUID.

getValue() - 接口 中的方法org.apache.flink.ml.common.linalg.VectorIterator

Returns the value of the element which the cursor points.

getValues() - 类 中的方法org.apache.flink.ml.common.linalg.SparseVector

Get the values array.

H

hashCode() - 类 中的方法org.apache.flink.ml.common.linalg.DenseVector

hashCode() - 类 中的方法org.apache.flink.ml.common.linalg.SparseVector

HasMLEnvironmentId<T> - org.apache.flink.ml.params.shared中的接口

An interface for classes with a parameter specifying the id of MLEnvironment.

hasNext() - 接口 中的方法org.apache.flink.ml.common.linalg.VectorIterator

Returns true if the iteration has more elements.

HasOutputCol<T> - org.apache.flink.ml.params.shared.colname中的接口

An interface for classes with a parameter specifying the name of the output column.

HasOutputColDefaultAsNull<T> - org.apache.flink.ml.params.shared.colname中的接口

An interface for classes with a parameter specifying name of the output column with a null default value.

HasOutputCols<T> - org.apache.flink.ml.params.shared.colname中的接口

An interface for classes with a parameter specifying names of multiple output columns.

HasOutputColsDefaultAsNull<T> - org.apache.flink.ml.params.shared.colname中的接口

An interface for classes with a parameter specifying names of multiple output columns.

HasPredictionCol<T> - org.apache.flink.ml.params.shared.colname中的接口

An interface for classes with a parameter specifying the column name of the prediction.

HasPredictionDetailCol<T> - org.apache.flink.ml.params.shared.colname中的接口

An interface for classes with a parameter specifying the column name of prediction detail.

HasReservedCols<T> - org.apache.flink.ml.params.shared.colname中的接口

An interface for classes with a parameter specifying the names of the columns to be retained in the output table.

HasSelectedCol<T> - org.apache.flink.ml.params.shared.colname中的接口

An interface for classes with a parameter specifying the name of the table column.

HasSelectedColDefaultAsNull<T> - org.apache.flink.ml.params.shared.colname中的接口

An interface for classes with a parameter specifying the name of the table column with null default value.

HasSelectedCols<T> - org.apache.flink.ml.params.shared.colname中的接口

An interface for classes with a parameter specifying the name of multiple table columns.

HasSelectedColsDefaultAsNull<T> - org.apache.flink.ml.params.shared.colname中的接口

An interface for classes with a parameter specifying the name of multiple table columns with null default value.

I

isSquare() - 类 中的方法org.apache.flink.ml.common.linalg.DenseMatrix

Check whether the matrix is square matrix.

isString(TypeInformation<?>) - 类 中的静态方法org.apache.flink.ml.common.utils.TableUtil

Determine whether it is a string type.

isSupportedNumericType(TypeInformation<?>) - 类 中的静态方法org.apache.flink.ml.common.utils.TableUtil

Determine whether it is number type, number type includes double, long, byte, int, float and short.

isSymmetric() - 类 中的方法org.apache.flink.ml.common.linalg.DenseMatrix

Check whether the matrix is symmetric matrix.

isVector(TypeInformation<?>) - 类 中的静态方法org.apache.flink.ml.common.utils.TableUtil

Determine whether it is a vector type.

iterator() - 类 中的方法org.apache.flink.ml.common.linalg.DenseVector

iterator() - 类 中的方法org.apache.flink.ml.common.linalg.SparseVector

iterator() - 类 中的方法org.apache.flink.ml.common.linalg.Vector

Get the iterator of the vector.

L

link(B) - 类 中的方法org.apache.flink.ml.operator.batch.BatchOperator

Link to another BatchOperator.

link(S) - 类 中的方法org.apache.flink.ml.operator.stream.StreamOperator

Link to another StreamOperator.

linkFrom(BatchOperator<?>...) - 类 中的方法org.apache.flink.ml.operator.batch.BatchOperator

Link from others BatchOperator.

linkFrom(BatchOperator<?>...) - 类 中的方法org.apache.flink.ml.operator.batch.source.TableSourceBatchOp

linkFrom(StreamOperator<?>...) - 类 中的方法org.apache.flink.ml.operator.stream.source.TableSourceStreamOp

linkFrom(StreamOperator<?>...) - 类 中的方法org.apache.flink.ml.operator.stream.StreamOperator

Link from others StreamOperator.

loadModel(List<Row>) - 类 中的方法org.apache.flink.ml.common.mapper.ModelMapper

Load the model from the list of rows.

logpdf(Vector) - 类 中的方法org.apache.flink.ml.common.statistics.basicstatistic.MultivariateGaussian

Returns the log-density of this multivariate Gaussian at given point x .

M

map(Row) - 类 中的方法org.apache.flink.ml.common.mapper.Mapper

Map a row to a new row.

map(Row) - 类 中的方法org.apache.flink.ml.common.mapper.MapperAdapter

map(Row) - 类 中的方法org.apache.flink.ml.common.mapper.ModelMapperAdapter

Mapper - org.apache.flink.ml.common.mapper中的类

Abstract class for mappers.

Mapper(TableSchema, Params) - 类 的构造器org.apache.flink.ml.common.mapper.Mapper

Construct a Mapper.

MapperAdapter - org.apache.flink.ml.common.mapper中的类

A class that helps adapt a Mapper to a MapFunction so that the mapper can run in Flink.

MapperAdapter(Mapper) - 类 的构造器org.apache.flink.ml.common.mapper.MapperAdapter

Construct a MapperAdapter with the given mapper.

MatVecOp - org.apache.flink.ml.common.linalg中的类

A utility class that provides operations over DenseVector, SparseVector and DenseMatrix.

MatVecOp() - 类 的构造器org.apache.flink.ml.common.linalg.MatVecOp

minus(DenseMatrix) - 类 中的方法org.apache.flink.ml.common.linalg.DenseMatrix

Create a new matrix by subtracting another matrix.

minus(Vector) - 类 中的方法org.apache.flink.ml.common.linalg.DenseVector

minus(Vector, Vector) - 类 中的静态方法org.apache.flink.ml.common.linalg.MatVecOp

compute vec1 - vec2 .

minus(Vector) - 类 中的方法org.apache.flink.ml.common.linalg.SparseVector

minus(Vector) - 类 中的方法org.apache.flink.ml.common.linalg.Vector

Create a new vector by subtracting another vector.

minusEqual(Vector) - 类 中的方法org.apache.flink.ml.common.linalg.DenseVector

Minus with another vector.

minusEquals(DenseMatrix) - 类 中的方法org.apache.flink.ml.common.linalg.DenseMatrix

Minus with another vector.

ML_ENVIRONMENT_ID - 接口 中的静态变量org.apache.flink.ml.params.shared.HasMLEnvironmentId

MLEnvironment - org.apache.flink.ml.common中的类

The MLEnvironment stores the necessary context in Flink.

MLEnvironment() - 类 的构造器org.apache.flink.ml.common.MLEnvironment

Construct with null that the class can load the environment in the `get` method.

MLEnvironment(ExecutionEnvironment, BatchTableEnvironment) - 类 的构造器org.apache.flink.ml.common.MLEnvironment

Construct with the batch environment and the the batch table environment given by user.

MLEnvironment(StreamExecutionEnvironment, StreamTableEnvironment) - 类 的构造器org.apache.flink.ml.common.MLEnvironment

Construct with the stream environment and the the stream table environment given by user.

MLEnvironment(ExecutionEnvironment, BatchTableEnvironment, StreamExecutionEnvironment, StreamTableEnvironment) - 类 的构造器org.apache.flink.ml.common.MLEnvironment

Construct with env given by user.

MLEnvironmentFactory - org.apache.flink.ml.common中的类

Factory to get the MLEnvironment using a MLEnvironmentId.

MLEnvironmentFactory() - 类 的构造器org.apache.flink.ml.common.MLEnvironmentFactory

ModelBase<M extends ModelBase<M>> - org.apache.flink.ml.pipeline中的类

The base class for a machine learning model.

ModelBase() - 类 的构造器org.apache.flink.ml.pipeline.ModelBase

ModelBase(Params) - 类 的构造器org.apache.flink.ml.pipeline.ModelBase

modelData - 类 中的变量org.apache.flink.ml.pipeline.ModelBase

ModelMapper - org.apache.flink.ml.common.mapper中的类

An abstract class for Mappers with a model.

ModelMapper(TableSchema, TableSchema, Params) - 类 的构造器org.apache.flink.ml.common.mapper.ModelMapper

Constructs a ModelMapper.

ModelMapperAdapter - org.apache.flink.ml.common.mapper中的类

A class that adapts a ModelMapper to a Flink RichMapFunction so the model can be loaded in a Flink job.

ModelMapperAdapter(ModelMapper, ModelSource) - 类 的构造器org.apache.flink.ml.common.mapper.ModelMapperAdapter

Construct a ModelMapperAdapter with the given ModelMapper and ModelSource.

ModelSource - org.apache.flink.ml.common.model中的接口

An interface that load the model from different sources.

multiplies(DenseMatrix) - 类 中的方法org.apache.flink.ml.common.linalg.DenseMatrix

Multiply with another matrix.

multiplies(DenseVector) - 类 中的方法org.apache.flink.ml.common.linalg.DenseMatrix

Multiply with a dense vector.

multiplies(SparseVector) - 类 中的方法org.apache.flink.ml.common.linalg.DenseMatrix

Multiply with a sparse vector.

MultivariateGaussian - org.apache.flink.ml.common.statistics.basicstatistic中的类

This class provides basic functionality for a Multivariate Gaussian (Normal) Distribution.

MultivariateGaussian(DenseVector, DenseMatrix) - 类 的构造器org.apache.flink.ml.common.statistics.basicstatistic.MultivariateGaussian

The constructor.

N

next() - 接口 中的方法org.apache.flink.ml.common.linalg.VectorIterator

Trigger the cursor points to the next element of the vector.

normalizeEqual(double) - 类 中的方法org.apache.flink.ml.common.linalg.DenseVector

normalizeEqual(double) - 类 中的方法org.apache.flink.ml.common.linalg.SparseVector

normalizeEqual(double) - 类 中的方法org.apache.flink.ml.common.linalg.Vector

Normalize the vector.

normInf() - 类 中的方法org.apache.flink.ml.common.linalg.DenseVector

normInf() - 类 中的方法org.apache.flink.ml.common.linalg.SparseVector

normInf() - 类 中的方法org.apache.flink.ml.common.linalg.Vector

Return the Inf norm of the vector.

normL1() - 类 中的方法org.apache.flink.ml.common.linalg.DenseVector

normL1() - 类 中的方法org.apache.flink.ml.common.linalg.SparseVector

normL1() - 类 中的方法org.apache.flink.ml.common.linalg.Vector

Return the L1 norm of the vector.

normL2() - 类 中的方法org.apache.flink.ml.common.linalg.DenseVector

normL2() - 类 中的方法org.apache.flink.ml.common.linalg.SparseVector

normL2() - 类 中的方法org.apache.flink.ml.common.linalg.Vector

Return the L2 norm of the vector.

normL2Square() - 类 中的方法org.apache.flink.ml.common.linalg.DenseVector

normL2Square() - 类 中的方法org.apache.flink.ml.common.linalg.SparseVector

normL2Square() - 类 中的方法org.apache.flink.ml.common.linalg.Vector

Return the square of L2 norm of the vector.

numberOfValues() - 类 中的方法org.apache.flink.ml.common.linalg.SparseVector

Get number of values in this vector.

numCols() - 类 中的方法org.apache.flink.ml.common.linalg.DenseMatrix

Get the number of columns.

numRows() - 类 中的方法org.apache.flink.ml.common.linalg.DenseMatrix

Get the number of rows.

O

ones(int, int) - 类 中的静态方法org.apache.flink.ml.common.linalg.DenseMatrix

Create a matrix with all elements set to 1.

ones(int) - 类 中的静态方法org.apache.flink.ml.common.linalg.DenseVector

Create a dense vector with all elements one.

open(Configuration) - 类 中的方法org.apache.flink.ml.common.mapper.ModelMapperAdapter

org.apache.flink.ml.common - 程序包 org.apache.flink.ml.common

org.apache.flink.ml.common.linalg - 程序包 org.apache.flink.ml.common.linalg

org.apache.flink.ml.common.mapper - 程序包 org.apache.flink.ml.common.mapper

org.apache.flink.ml.common.model - 程序包 org.apache.flink.ml.common.model

org.apache.flink.ml.common.statistics.basicstatistic - 程序包 org.apache.flink.ml.common.statistics.basicstatistic

org.apache.flink.ml.common.utils - 程序包 org.apache.flink.ml.common.utils

org.apache.flink.ml.operator - 程序包 org.apache.flink.ml.operator

org.apache.flink.ml.operator.batch - 程序包 org.apache.flink.ml.operator.batch

org.apache.flink.ml.operator.batch.source - 程序包 org.apache.flink.ml.operator.batch.source

org.apache.flink.ml.operator.stream - 程序包 org.apache.flink.ml.operator.stream

org.apache.flink.ml.operator.stream.source - 程序包 org.apache.flink.ml.operator.stream.source

org.apache.flink.ml.params.shared - 程序包 org.apache.flink.ml.params.shared

org.apache.flink.ml.params.shared.colname - 程序包 org.apache.flink.ml.params.shared.colname

org.apache.flink.ml.pipeline - 程序包 org.apache.flink.ml.pipeline

outer() - 类 中的方法org.apache.flink.ml.common.linalg.DenseVector

outer(DenseVector) - 类 中的方法org.apache.flink.ml.common.linalg.DenseVector

Compute the outer product with another vector.

outer() - 类 中的方法org.apache.flink.ml.common.linalg.SparseVector

outer(SparseVector) - 类 中的方法org.apache.flink.ml.common.linalg.SparseVector

Compute the outer product with another vector.

outer() - 类 中的方法org.apache.flink.ml.common.linalg.Vector

Compute the outer product with itself.

OUTPUT_COL - 接口 中的静态变量org.apache.flink.ml.params.shared.colname.HasOutputCol

OUTPUT_COL - 接口 中的静态变量org.apache.flink.ml.params.shared.colname.HasOutputColDefaultAsNull

OUTPUT_COLS - 接口 中的静态变量org.apache.flink.ml.params.shared.colname.HasOutputCols

OUTPUT_COLS - 接口 中的静态变量org.apache.flink.ml.params.shared.colname.HasOutputColsDefaultAsNull

OutputColsHelper - org.apache.flink.ml.common.utils中的类

Utils for merging input data with output data.

OutputColsHelper(TableSchema, String, TypeInformation<?>) - 类 的构造器org.apache.flink.ml.common.utils.OutputColsHelper

OutputColsHelper(TableSchema, String, TypeInformation<?>, String[]) - 类 的构造器org.apache.flink.ml.common.utils.OutputColsHelper

OutputColsHelper(TableSchema, String[], TypeInformation<?>[]) - 类 的构造器org.apache.flink.ml.common.utils.OutputColsHelper

OutputColsHelper(TableSchema, String[], TypeInformation<?>[], String[]) - 类 的构造器org.apache.flink.ml.common.utils.OutputColsHelper

The constructor.

P

params - 类 中的变量org.apache.flink.ml.common.mapper.Mapper

Parameters for the Mapper.

params - 类 中的变量org.apache.flink.ml.pipeline.PipelineStageBase

parse(String) - 类 中的静态方法org.apache.flink.ml.common.linalg.VectorUtil

Parse either a SparseVector or a DenseVector from a formatted string.

parseDense(String) - 类 中的静态方法org.apache.flink.ml.common.linalg.VectorUtil

Parse the dense vector from a formatted string.

parseSparse(String) - 类 中的静态方法org.apache.flink.ml.common.linalg.VectorUtil

Parse the sparse vector from a formatted string.

pdf(Vector) - 类 中的方法org.apache.flink.ml.common.statistics.basicstatistic.MultivariateGaussian

Returns density of this multivariate Gaussian at given point x .

PipelineStageBase<S extends PipelineStageBase<S>> - org.apache.flink.ml.pipeline中的类

The base class for a stage in a pipeline, either an [[EstimatorBase]] or a [[TransformerBase]].

PipelineStageBase() - 类 的构造器org.apache.flink.ml.pipeline.PipelineStageBase

PipelineStageBase(Params) - 类 的构造器org.apache.flink.ml.pipeline.PipelineStageBase

plus(DenseMatrix) - 类 中的方法org.apache.flink.ml.common.linalg.DenseMatrix

Create a new matrix by plussing another matrix.

plus(double) - 类 中的方法org.apache.flink.ml.common.linalg.DenseMatrix

Create a new matrix by plussing a constant.

plus(Vector) - 类 中的方法org.apache.flink.ml.common.linalg.DenseVector

plus(Vector, Vector) - 类 中的静态方法org.apache.flink.ml.common.linalg.MatVecOp

compute vec1 + vec2 .

plus(Vector) - 类 中的方法org.apache.flink.ml.common.linalg.SparseVector

plus(Vector) - 类 中的方法org.apache.flink.ml.common.linalg.Vector

Create a new vector by plussing another vector.

plusEqual(Vector) - 类 中的方法org.apache.flink.ml.common.linalg.DenseVector

Plus with another vector.

plusEquals(DenseMatrix) - 类 中的方法org.apache.flink.ml.common.linalg.DenseMatrix

Plus with another matrix.

plusEquals(double) - 类 中的方法org.apache.flink.ml.common.linalg.DenseMatrix

Plus with a constant.

plusScaleEqual(Vector, double) - 类 中的方法org.apache.flink.ml.common.linalg.DenseVector

Plus with another vector scaled by "alpha".

PREDICTION_COL - 接口 中的静态变量org.apache.flink.ml.params.shared.colname.HasPredictionCol

PREDICTION_DETAIL_COL - 接口 中的静态变量org.apache.flink.ml.params.shared.colname.HasPredictionDetailCol

prefix(double) - 类 中的方法org.apache.flink.ml.common.linalg.DenseVector

prefix(double) - 类 中的方法org.apache.flink.ml.common.linalg.SparseVector

prefix(double) - 类 中的方法org.apache.flink.ml.common.linalg.Vector

Create a new vector by adding an element to the head of the vector.

R

rand(int, int) - 类 中的静态方法org.apache.flink.ml.common.linalg.DenseMatrix

Create a random matrix.

rand(int) - 类 中的静态方法org.apache.flink.ml.common.linalg.DenseVector

Create a dense vector with random values uniformly distributed in the range of [0.0, 1.0].

randSymmetric(int) - 类 中的静态方法org.apache.flink.ml.common.linalg.DenseMatrix

Create a random symmetric matrix.

registerMLEnvironment(MLEnvironment) - 类 中的静态方法org.apache.flink.ml.common.MLEnvironmentFactory

Register a new MLEnvironment to the factory and return a new MLEnvironment id.

remove(Long) - 类 中的静态方法org.apache.flink.ml.common.MLEnvironmentFactory

Remove the MLEnvironment using the MLEnvironmentId.

removeZeroValues() - 类 中的方法org.apache.flink.ml.common.linalg.SparseVector

Remove all zero values away from this vector.

RESERVED_COLS - 接口 中的静态变量org.apache.flink.ml.params.shared.colname.HasReservedCols

RowsModelSource - org.apache.flink.ml.common.model中的类

A ModelSource implementation that reads the model from the memory.

RowsModelSource(List<Row>) - 类 的构造器org.apache.flink.ml.common.model.RowsModelSource

Construct a RowsModelSource with the given rows containing a model.

S

scal(double, double[]) - 类 中的静态方法org.apache.flink.ml.common.linalg.BLAS

x = x * a .

scal(double, DenseVector) - 类 中的静态方法org.apache.flink.ml.common.linalg.BLAS

x = x * a .

scal(double, SparseVector) - 类 中的静态方法org.apache.flink.ml.common.linalg.BLAS

x = x * a .

scal(double, DenseMatrix) - 类 中的静态方法org.apache.flink.ml.common.linalg.BLAS

x = x * a .

scale(double) - 类 中的方法org.apache.flink.ml.common.linalg.DenseMatrix

Scale the vector by value "v" and create a new matrix to store the result.

scale(double) - 类 中的方法org.apache.flink.ml.common.linalg.DenseVector

scale(double) - 类 中的方法org.apache.flink.ml.common.linalg.SparseVector

scale(double) - 类 中的方法org.apache.flink.ml.common.linalg.Vector

Scale the vector by value "v" and create a new vector to store the result.

scaleEqual(double) - 类 中的方法org.apache.flink.ml.common.linalg.DenseMatrix

Scale the matrix by value "v".

scaleEqual(double) - 类 中的方法org.apache.flink.ml.common.linalg.DenseVector

scaleEqual(double) - 类 中的方法org.apache.flink.ml.common.linalg.SparseVector

scaleEqual(double) - 类 中的方法org.apache.flink.ml.common.linalg.Vector

Scale the vector by value "v".

SELECTED_COL - 接口 中的静态变量org.apache.flink.ml.params.shared.colname.HasSelectedCol

SELECTED_COL - 接口 中的静态变量org.apache.flink.ml.params.shared.colname.HasSelectedColDefaultAsNull

SELECTED_COLS - 接口 中的静态变量org.apache.flink.ml.params.shared.colname.HasSelectedCols

SELECTED_COLS - 接口 中的静态变量org.apache.flink.ml.params.shared.colname.HasSelectedColsDefaultAsNull

selectRows(int[]) - 类 中的方法org.apache.flink.ml.common.linalg.DenseMatrix

Create a new matrix by selecting some of the rows.

set(int, int, double) - 类 中的方法org.apache.flink.ml.common.linalg.DenseMatrix

Set a single element.

set(int, double) - 类 中的方法org.apache.flink.ml.common.linalg.DenseVector

set(int, double) - 类 中的方法org.apache.flink.ml.common.linalg.SparseVector

set(int, double) - 类 中的方法org.apache.flink.ml.common.linalg.Vector

Set the i-th element of the vector to value "val".

setData(double[]) - 类 中的方法org.apache.flink.ml.common.linalg.DenseVector

Set the data array.

setEqual(DenseVector) - 类 中的方法org.apache.flink.ml.common.linalg.DenseVector

Set the data of the vector the same as those of another vector.

setMLEnvironmentId(Long) - 接口 中的方法org.apache.flink.ml.params.shared.HasMLEnvironmentId

setModelData(Table) - 类 中的方法org.apache.flink.ml.pipeline.ModelBase

Set the model data using the Table.

setOutput(Table) - 类 中的方法org.apache.flink.ml.operator.AlgoOperator

Set the table held by operator.

setOutputCol(String) - 接口 中的方法org.apache.flink.ml.params.shared.colname.HasOutputCol

setOutputCol(String) - 接口 中的方法org.apache.flink.ml.params.shared.colname.HasOutputColDefaultAsNull

setOutputCols(String...) - 接口 中的方法org.apache.flink.ml.params.shared.colname.HasOutputCols

setOutputCols(String...) - 接口 中的方法org.apache.flink.ml.params.shared.colname.HasOutputColsDefaultAsNull

setPredictionCol(String) - 接口 中的方法org.apache.flink.ml.params.shared.colname.HasPredictionCol

setPredictionDetailCol(String) - 接口 中的方法org.apache.flink.ml.params.shared.colname.HasPredictionDetailCol

setReservedCols(String...) - 接口 中的方法org.apache.flink.ml.params.shared.colname.HasReservedCols

setSelectedCol(String) - 接口 中的方法org.apache.flink.ml.params.shared.colname.HasSelectedCol

setSelectedCol(String) - 接口 中的方法org.apache.flink.ml.params.shared.colname.HasSelectedColDefaultAsNull

setSelectedCols(String...) - 接口 中的方法org.apache.flink.ml.params.shared.colname.HasSelectedCols

setSelectedCols(String...) - 接口 中的方法org.apache.flink.ml.params.shared.colname.HasSelectedColsDefaultAsNull

setSideOutputs(Table[]) - 类 中的方法org.apache.flink.ml.operator.AlgoOperator

Set the side outputs.

setSize(int) - 类 中的方法org.apache.flink.ml.common.linalg.SparseVector

Set the size of the vector.

setSubMatrix(DenseMatrix, int, int, int, int) - 类 中的方法org.apache.flink.ml.common.linalg.DenseMatrix

Set part of the matrix values from the values of another matrix.

size() - 类 中的方法org.apache.flink.ml.common.linalg.DenseVector

size() - 类 中的方法org.apache.flink.ml.common.linalg.SparseVector

size() - 类 中的方法org.apache.flink.ml.common.linalg.Vector

Get the size of the vector.

slice(int[]) - 类 中的方法org.apache.flink.ml.common.linalg.DenseVector

slice(int[]) - 类 中的方法org.apache.flink.ml.common.linalg.SparseVector

slice(int[]) - 类 中的方法org.apache.flink.ml.common.linalg.Vector

Slice the vector.

SPARSE_VECTOR - 类 中的静态变量org.apache.flink.ml.common.utils.VectorTypes

SparseVector type information.

SparseVector - org.apache.flink.ml.common.linalg中的类

A sparse vector represented by an indices array and a values array.

SparseVector() - 类 的构造器org.apache.flink.ml.common.linalg.SparseVector

Construct an empty sparse vector with undetermined size.

SparseVector(int) - 类 的构造器org.apache.flink.ml.common.linalg.SparseVector

Construct an empty sparse vector with determined size.

SparseVector(int, int[], double[]) - 类 的构造器org.apache.flink.ml.common.linalg.SparseVector

Construct a sparse vector with the given indices and values.

SparseVector(int, Map<Integer, Double>) - 类 的构造器org.apache.flink.ml.common.linalg.SparseVector

Construct a sparse vector with given indices to values map.

standardizeEqual(double, double) - 类 中的方法org.apache.flink.ml.common.linalg.DenseVector

standardizeEqual(double, double) - 类 中的方法org.apache.flink.ml.common.linalg.SparseVector

standardizeEqual(double, double) - 类 中的方法org.apache.flink.ml.common.linalg.Vector

Standardize the vector.

StreamOperator<T extends StreamOperator<T>> - org.apache.flink.ml.operator.stream中的类

Base class of stream algorithm operators.

StreamOperator() - 类 的构造器org.apache.flink.ml.operator.stream.StreamOperator

StreamOperator(Params) - 类 的构造器org.apache.flink.ml.operator.stream.StreamOperator

The constructor of StreamOperator with Params.

sum() - 类 中的方法org.apache.flink.ml.common.linalg.DenseMatrix

Sum of all elements of the matrix.

sumAbsDiff(Vector, Vector) - 类 中的静态方法org.apache.flink.ml.common.linalg.MatVecOp

Compute || vec1 - vec2 ||_1 .

sumSquaredDiff(Vector, Vector) - 类 中的静态方法org.apache.flink.ml.common.linalg.MatVecOp

Compute || vec1 - vec2 ||_2^2 .

T

tableEnvOf(Table) - 类 中的静态方法org.apache.flink.ml.pipeline.PipelineStageBase

TableSourceBatchOp - org.apache.flink.ml.operator.batch.source中的类

Transform the Table to SourceBatchOp.

TableSourceBatchOp(Table) - 类 的构造器org.apache.flink.ml.operator.batch.source.TableSourceBatchOp

TableSourceStreamOp - org.apache.flink.ml.operator.stream.source中的类

Transform the Table to SourceStreamOp.

TableSourceStreamOp(Table) - 类 的构造器org.apache.flink.ml.operator.stream.source.TableSourceStreamOp

TableUtil - org.apache.flink.ml.common.utils中的类

Utility to operator to interact with Table contents, such as rows and columns.

TableUtil() - 类 的构造器org.apache.flink.ml.common.utils.TableUtil

toDenseVector() - 类 中的方法org.apache.flink.ml.common.linalg.SparseVector

Convert to a dense vector.

toString() - 类 中的方法org.apache.flink.ml.common.linalg.DenseMatrix

toString() - 类 中的方法org.apache.flink.ml.common.linalg.DenseVector

toString() - 类 中的方法org.apache.flink.ml.common.linalg.SparseVector

toString(Vector) - 类 中的静态方法org.apache.flink.ml.common.linalg.VectorUtil

Serialize the vector to a string.

toString(SparseVector) - 类 中的静态方法org.apache.flink.ml.common.linalg.VectorUtil

Serialize the SparseVector to string.

toString(DenseVector) - 类 中的静态方法org.apache.flink.ml.common.linalg.VectorUtil

Serialize the DenseVector to String.

toString() - 类 中的方法org.apache.flink.ml.operator.AlgoOperator

toTable(Long, DataSet<Row>, TableSchema) - 类 中的静态方法org.apache.flink.ml.common.utils.DataSetConversionUtil

Convert the given DataSet into a Table with specified TableSchema.

toTable(Long, DataSet<Row>, String[], TypeInformation<?>[]) - 类 中的静态方法org.apache.flink.ml.common.utils.DataSetConversionUtil

Convert the given DataSet into a Table with specified colNames and colTypes.

toTable(Long, DataSet<Row>, String[]) - 类 中的静态方法org.apache.flink.ml.common.utils.DataSetConversionUtil

Convert the given DataSet into a Table with specified colNames.

toTable(MLEnvironment, DataSet<Row>, String[], TypeInformation<?>[]) - 类 中的静态方法org.apache.flink.ml.common.utils.DataSetConversionUtil

Convert the given DataSet into a Table with specified colNames and colTypes.

toTable(MLEnvironment, DataSet<Row>, String[]) - 类 中的静态方法org.apache.flink.ml.common.utils.DataSetConversionUtil

Convert the given DataSet into a Table with specified colNames.

toTable(Long, DataStream<Row>, TableSchema) - 类 中的静态方法org.apache.flink.ml.common.utils.DataStreamConversionUtil

Convert the given DataStream to Table with specified TableSchema.

toTable(Long, DataStream<Row>, String[]) - 类 中的静态方法org.apache.flink.ml.common.utils.DataStreamConversionUtil

Convert the given DataStream to Table with specified colNames.

toTable(Long, DataStream<Row>, String[], TypeInformation<?>[]) - 类 中的静态方法org.apache.flink.ml.common.utils.DataStreamConversionUtil

Convert the given DataStream to Table with specified colNames and colTypes.

toTable(MLEnvironment, DataStream<Row>, String[]) - 类 中的静态方法org.apache.flink.ml.common.utils.DataStreamConversionUtil

Convert the given DataStream to Table with specified colNames.

toTable(MLEnvironment, DataStream<Row>, String[], TypeInformation<?>[]) - 类 中的静态方法org.apache.flink.ml.common.utils.DataStreamConversionUtil

Convert the given DataStream to Table with specified colNames and colTypes.

transform(TableEnvironment, Table) - 类 中的方法org.apache.flink.ml.pipeline.TransformerBase

transform(Table) - 类 中的方法org.apache.flink.ml.pipeline.TransformerBase

Applies the transformer on the input table, and returns the result table.

transform(BatchOperator) - 类 中的方法org.apache.flink.ml.pipeline.TransformerBase

Applies the transformer on the input batch data from BatchOperator, and returns the batch result data with BatchOperator.

transform(StreamOperator) - 类 中的方法org.apache.flink.ml.pipeline.TransformerBase

Applies the transformer on the input streaming data from StreamOperator, and returns the streaming result data with StreamOperator.

TransformerBase<T extends TransformerBase<T>> - org.apache.flink.ml.pipeline中的类

The base class for transformer implementations.

TransformerBase() - 类 的构造器org.apache.flink.ml.pipeline.TransformerBase

TransformerBase(Params) - 类 的构造器org.apache.flink.ml.pipeline.TransformerBase

transpose() - 类 中的方法org.apache.flink.ml.common.linalg.DenseMatrix

Create a new matrix by transposing current matrix.

V

Vector - org.apache.flink.ml.common.linalg中的类

The Vector class defines some common methods for both DenseVector and SparseVector.

Vector() - 类 的构造器org.apache.flink.ml.common.linalg.Vector

VECTOR - 类 中的静态变量org.apache.flink.ml.common.utils.VectorTypes

Vector type information.

VectorIterator - org.apache.flink.ml.common.linalg中的接口

An iterator over the elements of a vector.

VectorTypes - org.apache.flink.ml.common.utils中的类

Built-in vector types.

VectorTypes() - 类 的构造器org.apache.flink.ml.common.utils.VectorTypes

VectorUtil - org.apache.flink.ml.common.linalg中的类

Utility class for the operations on Vector and its subclasses.

VectorUtil() - 类 的构造器org.apache.flink.ml.common.linalg.VectorUtil

Z

zeros(int, int) - 类 中的静态方法org.apache.flink.ml.common.linalg.DenseMatrix

Create a zero matrix.

zeros(int) - 类 中的静态方法org.apache.flink.ml.common.linalg.DenseVector

Create a dense vector with all elements zero.

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