C D E F G H I K L M N O P R S T W

C

centroids - 类 中的变量org.apache.flink.ml.clustering.kmeans.KMeansModelData

coefficient - 类 中的变量org.apache.flink.ml.classification.logisticregression.LogisticRegressionModelData

computeGradient(List<LabeledPointWithWeight>, DenseVector, DenseVector) - 类 中的方法org.apache.flink.ml.classification.logisticregression.LogisticGradient

Computes gradient on a set of samples.

computeLoss(List<LabeledPointWithWeight>, DenseVector) - 类 中的方法org.apache.flink.ml.classification.logisticregression.LogisticGradient

Computes weight sum and loss sum on a set of samples.

createReader(Configuration, FSDataInputStream) - 类 中的方法org.apache.flink.ml.classification.knn.KnnModelData.ModelDataDecoder

createReader(Configuration, FSDataInputStream) - 类 中的方法org.apache.flink.ml.classification.logisticregression.LogisticRegressionModelData.ModelDataDecoder

createReader(Configuration, FSDataInputStream) - 类 中的方法org.apache.flink.ml.classification.naivebayes.NaiveBayesModelData.ModelDataDecoder

createReader(Configuration, FSDataInputStream) - 类 中的方法org.apache.flink.ml.clustering.kmeans.KMeansModelData.ModelDataDecoder

createReader(Configuration, FSDataInputStream) - 类 中的方法org.apache.flink.ml.feature.onehotencoder.OneHotEncoderModelData.ModelDataStreamFormat

D

DISTANCE_MEASURE - 接口 中的静态变量org.apache.flink.ml.common.param.HasDistanceMeasure

DROP_LAST - 接口 中的静态变量org.apache.flink.ml.feature.onehotencoder.OneHotEncoderParams

E

encode(KnnModelData, OutputStream) - 类 中的方法org.apache.flink.ml.classification.knn.KnnModelData.ModelDataEncoder

encode(LogisticRegressionModelData, OutputStream) - 类 中的方法org.apache.flink.ml.classification.logisticregression.LogisticRegressionModelData.ModelDataEncoder

encode(NaiveBayesModelData, OutputStream) - 类 中的方法org.apache.flink.ml.classification.naivebayes.NaiveBayesModelData.ModelDataEncoder

encode(KMeansModelData, OutputStream) - 类 中的方法org.apache.flink.ml.clustering.kmeans.KMeansModelData.ModelDataEncoder

encode(Tuple2<Integer, Integer>, OutputStream) - 类 中的方法org.apache.flink.ml.feature.onehotencoder.OneHotEncoderModelData.ModelDataEncoder

ERROR_INVALID - 接口 中的静态变量org.apache.flink.ml.common.param.HasHandleInvalid

F

featureNormSquares - 类 中的变量org.apache.flink.ml.classification.knn.KnnModelData

FEATURES_COL - 接口 中的静态变量org.apache.flink.ml.common.param.HasFeaturesCol

fit(Table...) - 类 中的方法org.apache.flink.ml.classification.knn.Knn

fit(Table...) - 类 中的方法org.apache.flink.ml.classification.logisticregression.LogisticRegression

fit(Table...) - 类 中的方法org.apache.flink.ml.classification.naivebayes.NaiveBayes

fit(Table...) - 类 中的方法org.apache.flink.ml.clustering.kmeans.KMeans

fit(Table...) - 类 中的方法org.apache.flink.ml.feature.onehotencoder.OneHotEncoder

G

getDistanceMeasure() - 接口 中的方法org.apache.flink.ml.common.param.HasDistanceMeasure

getDropLast() - 接口 中的方法org.apache.flink.ml.feature.onehotencoder.OneHotEncoderParams

getFeaturesCol() - 接口 中的方法org.apache.flink.ml.common.param.HasFeaturesCol

getGlobalBatchSize() - 接口 中的方法org.apache.flink.ml.common.param.HasGlobalBatchSize

getHandleInvalid() - 接口 中的方法org.apache.flink.ml.common.param.HasHandleInvalid

getInitMode() - 接口 中的方法org.apache.flink.ml.clustering.kmeans.KMeansParams

getInputCols() - 接口 中的方法org.apache.flink.ml.common.param.HasInputCols

getK() - 接口 中的方法org.apache.flink.ml.classification.knn.KnnModelParams

getK() - 接口 中的方法org.apache.flink.ml.clustering.kmeans.KMeansModelParams

getLabelCol() - 接口 中的方法org.apache.flink.ml.common.param.HasLabelCol

getLearningRate() - 接口 中的方法org.apache.flink.ml.common.param.HasLearningRate

getMaxIter() - 接口 中的方法org.apache.flink.ml.common.param.HasMaxIter

getModelData() - 类 中的方法org.apache.flink.ml.classification.knn.KnnModel

getModelData() - 类 中的方法org.apache.flink.ml.classification.logisticregression.LogisticRegressionModel

getModelData() - 类 中的方法org.apache.flink.ml.classification.naivebayes.NaiveBayesModel

getModelData() - 类 中的方法org.apache.flink.ml.clustering.kmeans.KMeansModel

getModelData() - 类 中的方法org.apache.flink.ml.feature.onehotencoder.OneHotEncoderModel

getModelDataStream(Table) - 类 中的静态方法org.apache.flink.ml.classification.knn.KnnModelData

Converts the table model to a data stream.

getModelDataStream(Table) - 类 中的静态方法org.apache.flink.ml.classification.logisticregression.LogisticRegressionModelData

Converts the table model to a data stream.

getModelDataStream(Table) - 类 中的静态方法org.apache.flink.ml.classification.naivebayes.NaiveBayesModelData

Converts the table model to a data stream.

getModelDataStream(Table) - 类 中的静态方法org.apache.flink.ml.clustering.kmeans.KMeansModelData

Converts the table model to a data stream.

getModelDataStream(Table) - 类 中的静态方法org.apache.flink.ml.feature.onehotencoder.OneHotEncoderModelData

Converts the table model to a data stream.

getModelType() - 接口 中的方法org.apache.flink.ml.classification.naivebayes.NaiveBayesModelParams

getMultiClass() - 接口 中的方法org.apache.flink.ml.common.param.HasMultiClass

getOutputCols() - 接口 中的方法org.apache.flink.ml.common.param.HasOutputCols

getParamMap() - 类 中的方法org.apache.flink.ml.classification.knn.Knn

getParamMap() - 类 中的方法org.apache.flink.ml.classification.knn.KnnModel

getParamMap() - 类 中的方法org.apache.flink.ml.classification.logisticregression.LogisticRegression

getParamMap() - 类 中的方法org.apache.flink.ml.classification.logisticregression.LogisticRegressionModel

getParamMap() - 类 中的方法org.apache.flink.ml.classification.naivebayes.NaiveBayes

getParamMap() - 类 中的方法org.apache.flink.ml.classification.naivebayes.NaiveBayesModel

getParamMap() - 类 中的方法org.apache.flink.ml.clustering.kmeans.KMeans

getParamMap() - 类 中的方法org.apache.flink.ml.clustering.kmeans.KMeansModel

getParamMap() - 类 中的方法org.apache.flink.ml.feature.onehotencoder.OneHotEncoder

getParamMap() - 类 中的方法org.apache.flink.ml.feature.onehotencoder.OneHotEncoderModel

getPredictionCol() - 接口 中的方法org.apache.flink.ml.common.param.HasPredictionCol

getProducedType() - 类 中的方法org.apache.flink.ml.classification.knn.KnnModelData.ModelDataDecoder

getProducedType() - 类 中的方法org.apache.flink.ml.classification.logisticregression.LogisticRegressionModelData.ModelDataDecoder

getProducedType() - 类 中的方法org.apache.flink.ml.classification.naivebayes.NaiveBayesModelData.ModelDataDecoder

getProducedType() - 类 中的方法org.apache.flink.ml.clustering.kmeans.KMeansModelData.ModelDataDecoder

getProducedType() - 类 中的方法org.apache.flink.ml.feature.onehotencoder.OneHotEncoderModelData.ModelDataStreamFormat

getRawPredictionCol() - 接口 中的方法org.apache.flink.ml.common.param.HasRawPredictionCol

getReg() - 接口 中的方法org.apache.flink.ml.common.param.HasReg

getSeed() - 接口 中的方法org.apache.flink.ml.common.param.HasSeed

getSmoothing() - 接口 中的方法org.apache.flink.ml.classification.naivebayes.NaiveBayesParams

getTol() - 接口 中的方法org.apache.flink.ml.common.param.HasTol

getWeightCol() - 接口 中的方法org.apache.flink.ml.common.param.HasWeightCol

GLOBAL_BATCH_SIZE - 接口 中的静态变量org.apache.flink.ml.common.param.HasGlobalBatchSize

H

HANDLE_INVALID - 接口 中的静态变量org.apache.flink.ml.common.param.HasHandleInvalid

HasDistanceMeasure<T> - org.apache.flink.ml.common.param中的接口

Interface for the shared distanceMeasure param.

HasFeaturesCol<T> - org.apache.flink.ml.common.param中的接口

Interface for the shared featuresCol param.

HasGlobalBatchSize<T> - org.apache.flink.ml.common.param中的接口

Interface for the shared global batch size param.

HasHandleInvalid<T> - org.apache.flink.ml.common.param中的接口

Interface for the shared handleInvalid param.

HasInputCols<T> - org.apache.flink.ml.common.param中的接口

Interface for the shared inputCols param.

HasLabelCol<T> - org.apache.flink.ml.common.param中的接口

Interface for the shared label column param.

HasLearningRate<T> - org.apache.flink.ml.common.param中的接口

Interface for the shared learning rate param.

HasMaxIter<T> - org.apache.flink.ml.common.param中的接口

Interface for the shared maxIter param.

HasMultiClass<T> - org.apache.flink.ml.common.param中的接口

Interface for the shared multi-class param.

HasOutputCols<T> - org.apache.flink.ml.common.param中的接口

Interface for the shared outputCols param.

HasPredictionCol<T> - org.apache.flink.ml.common.param中的接口

Interface for the shared prediction column param.

HasRawPredictionCol<T> - org.apache.flink.ml.common.param中的接口

Interface for the shared raw prediction column param.

HasReg<T> - org.apache.flink.ml.common.param中的接口

Interface for the shared regularization param.

HasSeed<T> - org.apache.flink.ml.common.param中的接口

Interface for the shared seed param.

HasTol<T> - org.apache.flink.ml.common.param中的接口

Interface for the shared tolerance param.

HasWeightCol<T> - org.apache.flink.ml.common.param中的接口

Interface for the shared weight column param.

I

INIT_MODE - 接口 中的静态变量org.apache.flink.ml.clustering.kmeans.KMeansParams

INPUT_COLS - 接口 中的静态变量org.apache.flink.ml.common.param.HasInputCols

K

K - 接口 中的静态变量org.apache.flink.ml.classification.knn.KnnModelParams

K - 接口 中的静态变量org.apache.flink.ml.clustering.kmeans.KMeansModelParams

KMeans - org.apache.flink.ml.clustering.kmeans中的类

An Estimator which implements the k-means clustering algorithm.

KMeans() - 类 的构造器org.apache.flink.ml.clustering.kmeans.KMeans

KMeansModel - org.apache.flink.ml.clustering.kmeans中的类

A Model which clusters data into k clusters using the model data computed by KMeans.

KMeansModel() - 类 的构造器org.apache.flink.ml.clustering.kmeans.KMeansModel

KMeansModelData - org.apache.flink.ml.clustering.kmeans中的类

Model data of KMeansModel.

KMeansModelData(DenseVector[]) - 类 的构造器org.apache.flink.ml.clustering.kmeans.KMeansModelData

KMeansModelData() - 类 的构造器org.apache.flink.ml.clustering.kmeans.KMeansModelData

KMeansModelData.ModelDataDecoder - org.apache.flink.ml.clustering.kmeans中的类

Data decoder for KMeansModelData.

KMeansModelData.ModelDataEncoder - org.apache.flink.ml.clustering.kmeans中的类

Data encoder for KMeansModelData.

KMeansModelParams<T> - org.apache.flink.ml.clustering.kmeans中的接口

Params of KMeansModel.

KMeansParams<T> - org.apache.flink.ml.clustering.kmeans中的接口

Params of KMeans.

Knn - org.apache.flink.ml.classification.knn中的类

An Estimator which implements the KNN algorithm.

Knn() - 类 的构造器org.apache.flink.ml.classification.knn.Knn

KnnModel - org.apache.flink.ml.classification.knn中的类

A Model which classifies data using the model data computed by Knn.

KnnModel() - 类 的构造器org.apache.flink.ml.classification.knn.KnnModel

KnnModelData - org.apache.flink.ml.classification.knn中的类

Model data of KnnModel.

KnnModelData() - 类 的构造器org.apache.flink.ml.classification.knn.KnnModelData

KnnModelData(DenseMatrix, DenseVector, DenseVector) - 类 的构造器org.apache.flink.ml.classification.knn.KnnModelData

KnnModelData.ModelDataDecoder - org.apache.flink.ml.classification.knn中的类

Decoder for KnnModelData.

KnnModelData.ModelDataEncoder - org.apache.flink.ml.classification.knn中的类

Encoder for KnnModelData.

KnnModelParams<T> - org.apache.flink.ml.classification.knn中的接口

Params for KnnModel.

KnnParams<T> - org.apache.flink.ml.classification.knn中的接口

Params for Knn.

L

LABEL_COL - 接口 中的静态变量org.apache.flink.ml.common.param.HasLabelCol

labels - 类 中的变量org.apache.flink.ml.classification.knn.KnnModelData

labels - 类 中的变量org.apache.flink.ml.classification.naivebayes.NaiveBayesModelData

Value of labels.

LEARNING_RATE - 接口 中的静态变量org.apache.flink.ml.common.param.HasLearningRate

load(StreamExecutionEnvironment, String) - 类 中的静态方法org.apache.flink.ml.classification.knn.Knn

load(StreamExecutionEnvironment, String) - 类 中的静态方法org.apache.flink.ml.classification.knn.KnnModel

Loads model data from path.

load(StreamExecutionEnvironment, String) - 类 中的静态方法org.apache.flink.ml.classification.logisticregression.LogisticRegression

load(StreamExecutionEnvironment, String) - 类 中的静态方法org.apache.flink.ml.classification.logisticregression.LogisticRegressionModel

load(StreamExecutionEnvironment, String) - 类 中的静态方法org.apache.flink.ml.classification.naivebayes.NaiveBayes

load(StreamExecutionEnvironment, String) - 类 中的静态方法org.apache.flink.ml.classification.naivebayes.NaiveBayesModel

load(StreamExecutionEnvironment, String) - 类 中的静态方法org.apache.flink.ml.clustering.kmeans.KMeans

load(StreamExecutionEnvironment, String) - 类 中的静态方法org.apache.flink.ml.clustering.kmeans.KMeansModel

load(StreamExecutionEnvironment, String) - 类 中的静态方法org.apache.flink.ml.feature.onehotencoder.OneHotEncoder

load(StreamExecutionEnvironment, String) - 类 中的静态方法org.apache.flink.ml.feature.onehotencoder.OneHotEncoderModel

LogisticGradient - org.apache.flink.ml.classification.logisticregression中的类

Utility class to compute gradient and loss for logistic loss function.

LogisticGradient(double) - 类 的构造器org.apache.flink.ml.classification.logisticregression.LogisticGradient

LogisticRegression - org.apache.flink.ml.classification.logisticregression中的类

An Estimator which implements the logistic regression algorithm.

LogisticRegression() - 类 的构造器org.apache.flink.ml.classification.logisticregression.LogisticRegression

LogisticRegressionModel - org.apache.flink.ml.classification.logisticregression中的类

A Model which classifies data using the model data computed by LogisticRegression.

LogisticRegressionModel() - 类 的构造器org.apache.flink.ml.classification.logisticregression.LogisticRegressionModel

LogisticRegressionModelData - org.apache.flink.ml.classification.logisticregression中的类

Model data of LogisticRegressionModel.

LogisticRegressionModelData(DenseVector) - 类 的构造器org.apache.flink.ml.classification.logisticregression.LogisticRegressionModelData

LogisticRegressionModelData() - 类 的构造器org.apache.flink.ml.classification.logisticregression.LogisticRegressionModelData

LogisticRegressionModelData.ModelDataDecoder - org.apache.flink.ml.classification.logisticregression中的类

Data decoder for LogisticRegressionModel.

LogisticRegressionModelData.ModelDataEncoder - org.apache.flink.ml.classification.logisticregression中的类

Data encoder for LogisticRegressionModel.

LogisticRegressionModelParams<T> - org.apache.flink.ml.classification.logisticregression中的接口

Params for LogisticRegressionModel.

LogisticRegressionParams<T> - org.apache.flink.ml.classification.logisticregression中的接口

Params for LogisticRegression.

M

MAX_ITER - 接口 中的静态变量org.apache.flink.ml.common.param.HasMaxIter

MODEL_TYPE - 接口 中的静态变量org.apache.flink.ml.classification.naivebayes.NaiveBayesModelParams

ModelDataDecoder() - 类 的构造器org.apache.flink.ml.classification.knn.KnnModelData.ModelDataDecoder

ModelDataDecoder() - 类 的构造器org.apache.flink.ml.classification.logisticregression.LogisticRegressionModelData.ModelDataDecoder

ModelDataDecoder() - 类 的构造器org.apache.flink.ml.classification.naivebayes.NaiveBayesModelData.ModelDataDecoder

ModelDataDecoder() - 类 的构造器org.apache.flink.ml.clustering.kmeans.KMeansModelData.ModelDataDecoder

ModelDataEncoder() - 类 的构造器org.apache.flink.ml.classification.knn.KnnModelData.ModelDataEncoder

ModelDataEncoder() - 类 的构造器org.apache.flink.ml.classification.logisticregression.LogisticRegressionModelData.ModelDataEncoder

ModelDataEncoder() - 类 的构造器org.apache.flink.ml.classification.naivebayes.NaiveBayesModelData.ModelDataEncoder

ModelDataEncoder() - 类 的构造器org.apache.flink.ml.clustering.kmeans.KMeansModelData.ModelDataEncoder

ModelDataEncoder() - 类 的构造器org.apache.flink.ml.feature.onehotencoder.OneHotEncoderModelData.ModelDataEncoder

ModelDataStreamFormat() - 类 的构造器org.apache.flink.ml.feature.onehotencoder.OneHotEncoderModelData.ModelDataStreamFormat

MULTI_CLASS - 接口 中的静态变量org.apache.flink.ml.common.param.HasMultiClass

N

NaiveBayes - org.apache.flink.ml.classification.naivebayes中的类

An Estimator which implements the naive bayes classification algorithm.

NaiveBayes() - 类 的构造器org.apache.flink.ml.classification.naivebayes.NaiveBayes

NaiveBayesModel - org.apache.flink.ml.classification.naivebayes中的类

A Model which classifies data using the model data computed by NaiveBayes.

NaiveBayesModel() - 类 的构造器org.apache.flink.ml.classification.naivebayes.NaiveBayesModel

NaiveBayesModelData - org.apache.flink.ml.classification.naivebayes中的类

Model data of NaiveBayesModel.

NaiveBayesModelData(Map<Double, Double>[][], DenseVector, DenseVector) - 类 的构造器org.apache.flink.ml.classification.naivebayes.NaiveBayesModelData

NaiveBayesModelData() - 类 的构造器org.apache.flink.ml.classification.naivebayes.NaiveBayesModelData

NaiveBayesModelData.ModelDataDecoder - org.apache.flink.ml.classification.naivebayes中的类

Data decoder for the NaiveBayesModelData.

NaiveBayesModelData.ModelDataEncoder - org.apache.flink.ml.classification.naivebayes中的类

Data encoder for the NaiveBayesModelData.

NaiveBayesModelParams<T> - org.apache.flink.ml.classification.naivebayes中的接口

Params of NaiveBayesModel.

NaiveBayesParams<T> - org.apache.flink.ml.classification.naivebayes中的接口

Params of NaiveBayes.

O

OneHotEncoder - org.apache.flink.ml.feature.onehotencoder中的类

An Estimator which implements the one-hot encoding algorithm.

OneHotEncoder() - 类 的构造器org.apache.flink.ml.feature.onehotencoder.OneHotEncoder

OneHotEncoderModel - org.apache.flink.ml.feature.onehotencoder中的类

A Model which encodes data into one-hot format using the model data computed by OneHotEncoder.

OneHotEncoderModel() - 类 的构造器org.apache.flink.ml.feature.onehotencoder.OneHotEncoderModel

OneHotEncoderModelData - org.apache.flink.ml.feature.onehotencoder中的类

Model data of OneHotEncoderModel.

OneHotEncoderModelData() - 类 的构造器org.apache.flink.ml.feature.onehotencoder.OneHotEncoderModelData

OneHotEncoderModelData.ModelDataEncoder - org.apache.flink.ml.feature.onehotencoder中的类

Data encoder for the OneHotEncoder model data.

OneHotEncoderModelData.ModelDataStreamFormat - org.apache.flink.ml.feature.onehotencoder中的类

Data decoder for the OneHotEncoder model data.

OneHotEncoderParams<T> - org.apache.flink.ml.feature.onehotencoder中的接口

Params of OneHotEncoderModel.

org.apache.flink.ml.classification.knn - 程序包 org.apache.flink.ml.classification.knn

org.apache.flink.ml.classification.logisticregression - 程序包 org.apache.flink.ml.classification.logisticregression

org.apache.flink.ml.classification.naivebayes - 程序包 org.apache.flink.ml.classification.naivebayes

org.apache.flink.ml.clustering.kmeans - 程序包 org.apache.flink.ml.clustering.kmeans

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

org.apache.flink.ml.feature.onehotencoder - 程序包 org.apache.flink.ml.feature.onehotencoder

OUTPUT_COLS - 接口 中的静态变量org.apache.flink.ml.common.param.HasOutputCols

P

packedFeatures - 类 中的变量org.apache.flink.ml.classification.knn.KnnModelData

piArray - 类 中的变量org.apache.flink.ml.classification.naivebayes.NaiveBayesModelData

Log of class priors, whose dimension is C (number of classes).

PREDICTION_COL - 接口 中的静态变量org.apache.flink.ml.common.param.HasPredictionCol

R

RAW_PREDICTION_COL - 接口 中的静态变量org.apache.flink.ml.common.param.HasRawPredictionCol

REG - 接口 中的静态变量org.apache.flink.ml.common.param.HasReg

S

save(String) - 类 中的方法org.apache.flink.ml.classification.knn.Knn

save(String) - 类 中的方法org.apache.flink.ml.classification.knn.KnnModel

save(String) - 类 中的方法org.apache.flink.ml.classification.logisticregression.LogisticRegression

save(String) - 类 中的方法org.apache.flink.ml.classification.logisticregression.LogisticRegressionModel

save(String) - 类 中的方法org.apache.flink.ml.classification.naivebayes.NaiveBayes

save(String) - 类 中的方法org.apache.flink.ml.classification.naivebayes.NaiveBayesModel

save(String) - 类 中的方法org.apache.flink.ml.clustering.kmeans.KMeans

save(String) - 类 中的方法org.apache.flink.ml.clustering.kmeans.KMeansModel

save(String) - 类 中的方法org.apache.flink.ml.feature.onehotencoder.OneHotEncoder

save(String) - 类 中的方法org.apache.flink.ml.feature.onehotencoder.OneHotEncoderModel

SEED - 接口 中的静态变量org.apache.flink.ml.common.param.HasSeed

selectRandomCentroids(DataStream<DenseVector>, int, long) - 类 中的静态方法org.apache.flink.ml.clustering.kmeans.KMeans

setDistanceMeasure(String) - 接口 中的方法org.apache.flink.ml.common.param.HasDistanceMeasure

setDropLast(boolean) - 接口 中的方法org.apache.flink.ml.feature.onehotencoder.OneHotEncoderParams

setFeaturesCol(String) - 接口 中的方法org.apache.flink.ml.common.param.HasFeaturesCol

setGlobalBatchSize(Integer) - 接口 中的方法org.apache.flink.ml.common.param.HasGlobalBatchSize

setHandleInvalid(String) - 接口 中的方法org.apache.flink.ml.common.param.HasHandleInvalid

setInitMode(String) - 接口 中的方法org.apache.flink.ml.clustering.kmeans.KMeansParams

setInputCols(String...) - 接口 中的方法org.apache.flink.ml.common.param.HasInputCols

setK(Integer) - 接口 中的方法org.apache.flink.ml.classification.knn.KnnModelParams

setK(int) - 接口 中的方法org.apache.flink.ml.clustering.kmeans.KMeansModelParams

setLabelCol(String) - 接口 中的方法org.apache.flink.ml.common.param.HasLabelCol

setLearningRate(Double) - 接口 中的方法org.apache.flink.ml.common.param.HasLearningRate

setMaxIter(int) - 接口 中的方法org.apache.flink.ml.common.param.HasMaxIter

setModelData(Table...) - 类 中的方法org.apache.flink.ml.classification.knn.KnnModel

setModelData(Table...) - 类 中的方法org.apache.flink.ml.classification.logisticregression.LogisticRegressionModel

setModelData(Table...) - 类 中的方法org.apache.flink.ml.classification.naivebayes.NaiveBayesModel

setModelData(Table...) - 类 中的方法org.apache.flink.ml.clustering.kmeans.KMeansModel

setModelData(Table...) - 类 中的方法org.apache.flink.ml.feature.onehotencoder.OneHotEncoderModel

setModelType(String) - 接口 中的方法org.apache.flink.ml.classification.naivebayes.NaiveBayesModelParams

setMultiClass(String) - 接口 中的方法org.apache.flink.ml.common.param.HasMultiClass

setOutputCols(String...) - 接口 中的方法org.apache.flink.ml.common.param.HasOutputCols

setPredictionCol(String) - 接口 中的方法org.apache.flink.ml.common.param.HasPredictionCol

setRawPredictionCol(String) - 接口 中的方法org.apache.flink.ml.common.param.HasRawPredictionCol

setReg(Double) - 接口 中的方法org.apache.flink.ml.common.param.HasReg

setSeed(long) - 接口 中的方法org.apache.flink.ml.common.param.HasSeed

setSmoothing(Double) - 接口 中的方法org.apache.flink.ml.classification.naivebayes.NaiveBayesParams

setTol(Double) - 接口 中的方法org.apache.flink.ml.common.param.HasTol

setWeightCol(String) - 接口 中的方法org.apache.flink.ml.common.param.HasWeightCol

SKIP_INVALID - 接口 中的静态变量org.apache.flink.ml.common.param.HasHandleInvalid

SMOOTHING - 接口 中的静态变量org.apache.flink.ml.classification.naivebayes.NaiveBayesParams

T

theta - 类 中的变量org.apache.flink.ml.classification.naivebayes.NaiveBayesModelData

Log of class conditional probabilities, whose dimension is C (number of classes) by D (number of features).

TOL - 接口 中的静态变量org.apache.flink.ml.common.param.HasTol

transform(Table...) - 类 中的方法org.apache.flink.ml.classification.knn.KnnModel

transform(Table...) - 类 中的方法org.apache.flink.ml.classification.logisticregression.LogisticRegressionModel

transform(Table...) - 类 中的方法org.apache.flink.ml.classification.naivebayes.NaiveBayesModel

transform(Table...) - 类 中的方法org.apache.flink.ml.clustering.kmeans.KMeansModel

transform(Table...) - 类 中的方法org.apache.flink.ml.feature.onehotencoder.OneHotEncoderModel

W

WEIGHT_COL - 接口 中的静态变量org.apache.flink.ml.common.param.HasWeightCol

C D E F G H I K L M N O P R S T W