- GBM_rescale(double[]) - Static method in class hex.genmodel.GenModel
-
- GbmMojoModel - Class in hex.genmodel.algos.gbm
-
"Gradient Boosting Machine" MojoModel
- GbmMojoModel(String[], String[][]) - Constructor for class hex.genmodel.algos.gbm.GbmMojoModel
-
- GbmMojoReader - Class in hex.genmodel.algos.gbm
-
- GbmMojoReader() - Constructor for class hex.genmodel.algos.gbm.GbmMojoReader
-
- GenModel - Class in hex.genmodel
-
This is a helper class to support Java generated models.
- GenModel(String[], String[][]) - Constructor for class hex.genmodel.GenModel
-
- GenmodelBitSet - Class in hex.genmodel.utils
-
GenmodelBitSet - bitset that "lives" on top of an external byte array.
- GenmodelBitSet(int) - Constructor for class hex.genmodel.utils.GenmodelBitSet
-
- GenmodelBitSet(int, int) - Constructor for class hex.genmodel.utils.GenmodelBitSet
-
- GenMunger - Class in hex.genmodel
-
- GenMunger() - Constructor for class hex.genmodel.GenMunger
-
- GenMunger.Step<T> - Class in hex.genmodel
-
- GenMunger.Step(String[], String[], String[]) - Constructor for class hex.genmodel.GenMunger.Step
-
- get1U() - Method in class hex.genmodel.utils.ByteBufferWrapper
-
- get2() - Method in class hex.genmodel.utils.ByteBufferWrapper
-
- get3() - Method in class hex.genmodel.utils.ByteBufferWrapper
-
- get4() - Method in class hex.genmodel.utils.ByteBufferWrapper
-
- get4f() - Method in class hex.genmodel.utils.ByteBufferWrapper
-
- get8d() - Method in class hex.genmodel.utils.ByteBufferWrapper
-
- getBinaryFile(String) - Method in class hex.genmodel.InMemoryMojoReaderBackend
-
- getBinaryFile(String) - Method in interface hex.genmodel.MojoReaderBackend
-
- getColIdx(String) - Method in class hex.genmodel.GenModel
-
Returns index of a column with given name, or -1 if the column is not found.
- getColIdx(String) - Method in interface water.genmodel.IGeneratedModel
-
Returns index of column with give name or -1 if column is not found.
- getColumnName() - Method in exception hex.genmodel.easy.exception.PredictUnknownCategoricalLevelException
-
Get the column name for which the unknown level was given as input.
- getConvertInvalidNumbersToNa() - Method in class hex.genmodel.easy.EasyPredictModelWrapper.Config
-
- getConvertUnknownCategoricalLevelsToNa() - Method in class hex.genmodel.easy.EasyPredictModelWrapper.Config
-
- getDecisionPath(double) - Static method in class hex.genmodel.algos.tree.SharedTreeMojoModel
-
- getDomainValues(String) - Method in class hex.genmodel.GenModel
-
Gets domain of the given column.
- getDomainValues(int) - Method in class hex.genmodel.GenModel
-
Returns domain values for the i-th column.
- getDomainValues() - Method in class hex.genmodel.GenModel
-
Returns domain values for all columns, including the response column.
- getDomainValues(String) - Method in interface water.genmodel.IGeneratedModel
-
Gets domain of given column.
- getDomainValues(int) - Method in interface water.genmodel.IGeneratedModel
-
Returns domain values for i-th column.
- getDomainValues() - Method in interface water.genmodel.IGeneratedModel
-
Returns domain values for all columns including response column.
- getHeader() - Method in class hex.genmodel.easy.EasyPredictModelWrapper
-
Some autoencoder thing, I'm not sure what this does.
- getHeader() - Method in class hex.genmodel.GenModel
-
???
- getIntercept() - Method in class hex.genmodel.algos.glm.GlmMojoModel
-
- getModel() - Method in class hex.genmodel.easy.EasyPredictModelWrapper.Config
-
- getModel(String) - Method in class hex.genmodel.MultiModelMojoReader
-
- getModelCategories() - Method in class hex.genmodel.algos.glrm.GlrmMojoModel
-
- getModelCategories() - Method in class hex.genmodel.GenModel
-
Override this for models that may produce results in different categories.
- getModelCategories() - Method in interface hex.genmodel.IGenModel
-
For models with multiple categories, returns the set of all supported categories.
- getModelCategory() - Method in class hex.genmodel.easy.EasyPredictModelWrapper
-
Get the category (type) of model.
- getModelCategory() - Method in class hex.genmodel.GenModel
-
Returns this model category.
- getModelCategory() - Method in interface hex.genmodel.IGenModel
-
Returns this model category.
- getModelCategory() - Method in class hex.genmodel.MojoModel
-
- getModelName() - Method in class hex.genmodel.algos.deepwater.DeepwaterMojoReader
-
- getModelName() - Method in class hex.genmodel.algos.drf.DrfMojoReader
-
- getModelName() - Method in class hex.genmodel.algos.gbm.GbmMojoReader
-
- getModelName() - Method in class hex.genmodel.algos.glm.GlmMojoReader
-
- getModelName() - Method in class hex.genmodel.algos.glrm.GlrmMojoReader
-
- getModelName() - Method in class hex.genmodel.algos.kmeans.KMeansMojoReader
-
- getModelName() - Method in class hex.genmodel.algos.word2vec.Word2VecMojoReader
-
- getModelName() - Method in class hex.genmodel.ModelMojoReader
-
- getMojoReader(String) - Method in class hex.genmodel.ModelMojoFactory
-
- getNames() - Method in class hex.genmodel.GenModel
-
The names of all columns used, including response and offset columns.
- getNames() - Method in interface water.genmodel.IGeneratedModel
-
The names of columns used in the model.
- getNumClasses(int) - Method in class hex.genmodel.GenModel
-
Get number of classes in the given column.
- getNumClasses(int) - Method in interface water.genmodel.IGeneratedModel
-
Get number of classes in in given column.
- getNumCols() - Method in class hex.genmodel.GenModel
-
Returns number of columns used as input for training (i.e., exclude response and offset columns).
- getNumCols() - Method in interface water.genmodel.IGeneratedModel
-
Returns number of columns used as input for training (i.e., exclude response and offset columns).
- getNumResponseClasses() - Method in class hex.genmodel.GenModel
-
Return a number of classes in response column.
- getNumResponseClasses() - Method in interface water.genmodel.IGeneratedModel
-
Return a number of classes in response column.
- getPrediction(double[], double[], double[], double) - Static method in class hex.genmodel.GenModel
-
Utility function to get a best prediction from an array of class
prediction distribution.
- getPredsSize(ModelCategory) - Method in class hex.genmodel.algos.glrm.GlrmMojoModel
-
- getPredsSize() - Method in class hex.genmodel.GenModel
-
Returns the expected size of preds array which is passed to `predict(double[], double[])` function.
- getPredsSize(ModelCategory) - Method in class hex.genmodel.GenModel
-
- getPredsSize() - Method in interface water.genmodel.IGeneratedModel
-
Returns the expected size of preds array which is passed to `predict(double[], float[])` function.
- getResponseDomainValues() - Method in class hex.genmodel.easy.EasyPredictModelWrapper
-
Get the array of levels for the response column.
- getResponseIdx() - Method in class hex.genmodel.GenModel
-
Returns the index of the response column inside getDomains().
- getResponseIdx() - Method in interface water.genmodel.IGeneratedModel
-
Returns an index of the response column inside getDomains().
- getResponseName() - Method in class hex.genmodel.GenModel
-
The name of the response column.
- getResponseName() - Method in interface water.genmodel.IGeneratedModel
-
Deprecated.
- getTextFile(String) - Method in class hex.genmodel.InMemoryMojoReaderBackend
-
- getTextFile(String) - Method in interface hex.genmodel.MojoReaderBackend
-
- getTotalUnknownCategoricalLevelsSeen() - Method in class hex.genmodel.easy.EasyPredictModelWrapper
-
Get the total number unknown categorical levels seen.
- getUnknownCategoricalLevelsSeenPerColumn() - Method in class hex.genmodel.easy.EasyPredictModelWrapper
-
Get unknown categorical level counts.
- getUnknownLevel() - Method in exception hex.genmodel.easy.exception.PredictUnknownCategoricalLevelException
-
Get the unknown level which was not seen during model training.
- getUUID() - Method in class hex.genmodel.GenModel
-
- getUUID() - Method in class hex.genmodel.MojoModel
-
- getUUID() - Method in interface water.genmodel.IGeneratedModel
-
Returns model's unique identifier.
- getVecSize() - Method in class hex.genmodel.algos.word2vec.Word2VecMojoModel
-
- getVecSize() - Method in interface hex.genmodel.algos.word2vec.WordEmbeddingModel
-
Dimensionality of the vector space of this Word Embedding model
- GLM_identityInv(double) - Static method in class hex.genmodel.GenModel
-
- GLM_inverseInv(double) - Static method in class hex.genmodel.GenModel
-
- GLM_logInv(double) - Static method in class hex.genmodel.GenModel
-
- GLM_logitInv(double) - Static method in class hex.genmodel.GenModel
-
- GLM_tweedieInv(double, double) - Static method in class hex.genmodel.GenModel
-
- GlmMojoModel - Class in hex.genmodel.algos.glm
-
- GlmMojoReader - Class in hex.genmodel.algos.glm
-
- GlmMojoReader() - Constructor for class hex.genmodel.algos.glm.GlmMojoReader
-
- GlmMultinomialMojoModel - Class in hex.genmodel.algos.glm
-
- GlrmInitialization - Enum in hex.genmodel.algos.glrm
-
Initialization strategy for matrices X and Y in the GLRM algorithm.
- GlrmLoss - Enum in hex.genmodel.algos.glrm
-
Loss function for the GLRM algorithm.
- GlrmMojoModel - Class in hex.genmodel.algos.glrm
-
- GlrmMojoModel(String[], String[][]) - Constructor for class hex.genmodel.algos.glrm.GlrmMojoModel
-
- GlrmMojoReader - Class in hex.genmodel.algos.glrm
-
- GlrmMojoReader() - Constructor for class hex.genmodel.algos.glrm.GlrmMojoReader
-
- GlrmRegularizer - Enum in hex.genmodel.algos.glrm
-
Regularization method for matrices X and Y in the GLRM algorithm.
- graph - Variable in class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Cmd
-
- main(String[]) - Static method in class hex.genmodel.tools.MungeCsv
-
CSV reader and predictor test program.
- main(String[]) - Static method in class hex.genmodel.tools.PredictCsv
-
- main(String[]) - Static method in class hex.genmodel.tools.PrintMojo
-
- main(String[]) - Static method in class water.util.H2OPredictor
-
- makeModel(String[], String[][]) - Method in class hex.genmodel.algos.deepwater.DeepwaterMojoReader
-
- makeModel(String[], String[][]) - Method in class hex.genmodel.algos.drf.DrfMojoReader
-
- makeModel(String[], String[][]) - Method in class hex.genmodel.algos.gbm.GbmMojoReader
-
- makeModel(String[], String[][]) - Method in class hex.genmodel.algos.glm.GlmMojoReader
-
- makeModel(String[], String[][]) - Method in class hex.genmodel.algos.glrm.GlrmMojoReader
-
- makeModel(String[], String[][]) - Method in class hex.genmodel.algos.kmeans.KMeansMojoReader
-
- makeModel(String[], String[][]) - Method in class hex.genmodel.algos.word2vec.Word2VecMojoReader
-
- makeModel(String[], String[][]) - Method in class hex.genmodel.ModelMojoReader
-
- mapEnum(int, String) - Method in class hex.genmodel.GenModel
-
Maps given column's categorical to the integer used by this model (returns -1 if mapping not found).
- mapEnum(int, String) - Method in interface water.genmodel.IGeneratedModel
-
Maps given column's categorical to integer used by this model.
- MathUtils - Class in hex.genmodel.utils
-
Copied (partially) from water.util.MathUtils
- MathUtils() - Constructor for class hex.genmodel.utils.MathUtils
-
- maxIndex(double[], Random) - Static method in class hex.genmodel.utils.ArrayUtils
-
- maxIndex(double[]) - Static method in class hex.genmodel.utils.ArrayUtils
-
- mergeFrom(CodedInputByteBufferNano) - Method in class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Cmd
-
- mergeFrom(CodedInputByteBufferNano) - Method in class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Saved
-
- mimpute(double[]) - Method in enum hex.genmodel.algos.glrm.GlrmLoss
-
\argmin_a L(u, a): Data imputation for categorical values {0, 1, 2, ...}
- minus(double, HashMap<String, String[]>) - Static method in class hex.genmodel.GenMunger
-
- mlgrad(double[], int) - Method in enum hex.genmodel.algos.glrm.GlrmLoss
-
\grad_u L(u,a): Gradient of multidimensional loss function with respect to u
- mlgrad(double[], int, double[], int) - Method in enum hex.genmodel.algos.glrm.GlrmLoss
-
\grad_u L(u,a): Gradient of multidimensional loss function with respect to u.
- mloss(double[], int) - Method in enum hex.genmodel.algos.glrm.GlrmLoss
-
Loss function for categorical variables where the size of u represents the true column length.
- mloss(double[], int, int) - Method in enum hex.genmodel.algos.glrm.GlrmLoss
-
Loss function for categorical variables performing same function as mloss above.
- mod(double, HashMap<String, String[]>) - Static method in class hex.genmodel.GenMunger
-
- ModelCategory - Enum in hex
-
Different prediction categories for models.
- ModelMojoFactory - Class in hex.genmodel
-
Factory class for instantiating specific MojoGenmodel classes based on the algo name.
- ModelMojoReader<M extends MojoModel> - Class in hex.genmodel
-
Helper class to deserialize a model from MOJO format.
- ModelMojoReader() - Constructor for class hex.genmodel.ModelMojoReader
-
- ModelPojo - Annotation Type in hex.genmodel.annotations
-
Annotation to simplify identification of model pojos.
- ModelUtils - Class in water.util
-
Shared static code to support modeling, prediction, and scoring.
- ModelUtils() - Constructor for class water.util.ModelUtils
-
- MojoModel - Class in hex.genmodel
-
Prediction model based on the persisted binary data.
- MojoModel(String[], String[][]) - Constructor for class hex.genmodel.MojoModel
-
- MojoReaderBackend - Interface in hex.genmodel
-
- MojoReaderBackendFactory - Class in hex.genmodel
-
Factory class for vending MojoReaderBackend object that can be used to load MOJOs from different data sources.
- MojoReaderBackendFactory() - Constructor for class hex.genmodel.MojoReaderBackendFactory
-
- MojoReaderBackendFactory.CachingStrategy - Enum in hex.genmodel
-
- momentum - Variable in class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Cmd
-
- MultiModelMojoReader<M extends MojoModel> - Class in hex.genmodel
-
- MultiModelMojoReader() - Constructor for class hex.genmodel.MultiModelMojoReader
-
- MultinomialModelPrediction - Class in hex.genmodel.easy.prediction
-
Binomial classification model prediction.
- MultinomialModelPrediction() - Constructor for class hex.genmodel.easy.prediction.MultinomialModelPrediction
-
- multiply(double, HashMap<String, String[]>) - Static method in class hex.genmodel.GenMunger
-
- MungeCsv - Class in hex.genmodel.tools
-
Simple driver program for reading a CSV file and munging it.
- MungeCsv() - Constructor for class hex.genmodel.tools.MungeCsv
-
- params() - Method in class hex.genmodel.GenMunger.Step
-
- parseArrayOfDoubles(String) - Static method in class hex.genmodel.utils.ParseUtils
-
- parseArrayOfInts(String) - Static method in class hex.genmodel.utils.ParseUtils
-
- parseFrom(byte[]) - Static method in class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Cmd
-
- parseFrom(CodedInputByteBufferNano) - Static method in class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Cmd
-
- parseFrom(byte[]) - Static method in class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Saved
-
- parseFrom(CodedInputByteBufferNano) - Static method in class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Saved
-
- ParseUtils - Class in hex.genmodel.utils
-
Helper function for parsing the serialized model.
- ParseUtils() - Constructor for class hex.genmodel.utils.ParseUtils
-
- path - Variable in class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Cmd
-
- position() - Method in class hex.genmodel.utils.ByteBufferWrapper
-
- pow(double, HashMap<String, String[]>) - Static method in class hex.genmodel.GenMunger
-
- pred(String) - Method in class water.util.H2OPredictor
-
- predict(BackendModel, float[]) - Method in class hex.genmodel.algos.deepwater.caffe.DeepwaterCaffeBackend
-
- predict(float[]) - Method in class hex.genmodel.algos.deepwater.caffe.DeepwaterCaffeModel
-
- Predict - Static variable in interface hex.genmodel.algos.deepwater.caffe.nano.Deepwater
-
- predict(RowData, ModelCategory) - Method in class hex.genmodel.easy.EasyPredictModelWrapper
-
Make a prediction on a new data point.
- predict(RowData) - Method in class hex.genmodel.easy.EasyPredictModelWrapper
-
- predict2(String, String) - Static method in class water.util.H2OPredictor
-
- predict3(String, String, String) - Static method in class water.util.H2OPredictor
-
- predictAutoEncoder(RowData) - Method in class hex.genmodel.easy.EasyPredictModelWrapper
-
Make a prediction on a new data point using an AutoEncoder model.
- predictBinomial(RowData) - Method in class hex.genmodel.easy.EasyPredictModelWrapper
-
Make a prediction on a new data point using a Binomial model.
- predictClustering(RowData) - Method in class hex.genmodel.easy.EasyPredictModelWrapper
-
Make a prediction on a new data point using a Clustering model.
- PredictCsv - Class in hex.genmodel.tools
-
Simple driver program for reading a CSV file and making predictions.
- PredictCsv() - Constructor for class hex.genmodel.tools.PredictCsv
-
- predictDimReduction(RowData) - Method in class hex.genmodel.easy.EasyPredictModelWrapper
-
Make a prediction on a new data point using a Dimension Reduction model (PCA, GLRM)
- PredictException - Exception in hex.genmodel.easy.exception
-
All generated model exceptions that can occur on the various predict methods derive from this.
- PredictException(String) - Constructor for exception hex.genmodel.easy.exception.PredictException
-
- predictKLime(RowData) - Method in class hex.genmodel.easy.EasyPredictModelWrapper
-
Make a prediction on a new data point using a k-LIME model.
- predictMultinomial(RowData) - Method in class hex.genmodel.easy.EasyPredictModelWrapper
-
Make a prediction on a new data point using a Multinomial model.
- PredictNumberFormatException - Exception in hex.genmodel.easy.exception
-
Unknown type exception.
- PredictNumberFormatException(String) - Constructor for exception hex.genmodel.easy.exception.PredictNumberFormatException
-
- predictRegression(RowData) - Method in class hex.genmodel.easy.EasyPredictModelWrapper
-
Make a prediction on a new data point using a Regression model.
- PredictUnknownCategoricalLevelException - Exception in hex.genmodel.easy.exception
-
Unknown categorical level exception.
- PredictUnknownCategoricalLevelException(String, String, String) - Constructor for exception hex.genmodel.easy.exception.PredictUnknownCategoricalLevelException
-
- PredictUnknownTypeException - Exception in hex.genmodel.easy.exception
-
Unknown type exception.
- PredictUnknownTypeException(String) - Constructor for exception hex.genmodel.easy.exception.PredictUnknownTypeException
-
- predictWord2Vec(RowData) - Method in class hex.genmodel.easy.EasyPredictModelWrapper
-
Lookup word embeddings for a given word (or set of words).
- PredictWrongModelCategoryException - Exception in hex.genmodel.easy.exception
-
Wrong model category exception.
- PredictWrongModelCategoryException(String) - Constructor for exception hex.genmodel.easy.exception.PredictWrongModelCategoryException
-
- print() - Method in class hex.genmodel.algos.tree.SharedTreeGraph
-
Debug printout of graph structure.
- printDot(PrintStream, int, boolean, String) - Method in class hex.genmodel.algos.tree.SharedTreeGraph
-
Print graph output in a format readable by dot (graphviz).
- PrintMojo - Class in hex.genmodel.tools
-
Print dot (graphviz) representation of one or more trees in a DRF or GBM model.
- PrintMojo() - Constructor for class hex.genmodel.tools.PrintMojo
-
- probability - Variable in class hex.genmodel.easy.prediction.SortedClassProbability
-
Prediction value for this class level.
- project(double[], Random) - Method in enum hex.genmodel.algos.glrm.GlrmRegularizer
-
Project X,Y matrices into appropriate subspace so regularizer is finite.
- sampleOOBRows(int, float, Random) - Static method in class water.util.ModelUtils
-
Sample out-of-bag rows with given rate with help of given sampler.
- sampleOOBRows(int, float, Random, int[]) - Static method in class water.util.ModelUtils
-
- Save - Static variable in interface hex.genmodel.algos.deepwater.caffe.nano.Deepwater
-
- SaveGraph - Static variable in interface hex.genmodel.algos.deepwater.caffe.nano.Deepwater
-
- saveModel(BackendModel, String) - Method in class hex.genmodel.algos.deepwater.caffe.DeepwaterCaffeBackend
-
- saveModel(String) - Method in class hex.genmodel.algos.deepwater.caffe.DeepwaterCaffeModel
-
- saveParam(BackendModel, String) - Method in class hex.genmodel.algos.deepwater.caffe.DeepwaterCaffeBackend
-
- saveParam(String) - Method in class hex.genmodel.algos.deepwater.caffe.DeepwaterCaffeModel
-
- scaleInPlace(double[], double[], double[]) - Static method in class hex.genmodel.GenMunger
-
- score0(double[], double, double[]) - Method in class hex.genmodel.algos.deepwater.DeepwaterMojoModel
-
Corresponds to `hex.DeepWater.score0()`
- score0(double[], double[]) - Method in class hex.genmodel.algos.deepwater.DeepwaterMojoModel
-
- score0(double[], double, double[]) - Method in class hex.genmodel.algos.drf.DrfMojoModel
-
Corresponds to `hex.tree.drf.DrfMojoModel.score0()`
- score0(double[], double[]) - Method in class hex.genmodel.algos.drf.DrfMojoModel
-
- score0(double[], double, double[]) - Method in class hex.genmodel.algos.gbm.GbmMojoModel
-
Corresponds to `hex.tree.drf.DrfMojoModel.score0()`
- score0(double[], double[]) - Method in class hex.genmodel.algos.gbm.GbmMojoModel
-
- score0(double[], double[]) - Method in class hex.genmodel.algos.glrm.GlrmMojoModel
-
This function corresponds to the DimReduction model category
- score0(double[], double[]) - Method in class hex.genmodel.algos.kmeans.KMeansMojoModel
-
- score0(double[], double[]) - Method in class hex.genmodel.algos.word2vec.Word2VecMojoModel
-
- score0(double[], double[]) - Method in class hex.genmodel.GenModel
-
Subclasses implement the scoring logic.
- score0(double[], double, double[]) - Method in class hex.genmodel.GenModel
-
- scoreAllTrees(double[], double[]) - Method in class hex.genmodel.algos.tree.SharedTreeMojoModel
-
Score all trees and fill in the `preds` array.
- scoreTree(byte[], double[], int, boolean, String[][]) - Static method in class hex.genmodel.algos.tree.SharedTreeMojoModel
-
Highly efficient (critical path) tree scoring
Given a tree (in the form of a byte array) and the row of input data, compute either this tree's
predicted value when `computeLeafAssignment` is false, or the the decision path within the tree (but no more
than 64 levels) when `computeLeafAssignment` is true.
- scoreTree0(byte[], double[], int, boolean) - Static method in class hex.genmodel.algos.tree.SharedTreeMojoModel
-
SET IN STONE FOR MOJO VERSION "1.00" - DO NOT CHANGE
- scoreTree1(byte[], double[], int, boolean) - Static method in class hex.genmodel.algos.tree.SharedTreeMojoModel
-
SET IN STONE FOR MOJO VERSION "1.10" - DO NOT CHANGE
- setConvertInvalidNumbersToNa(boolean) - Method in class hex.genmodel.easy.EasyPredictModelWrapper.Config
-
Specify the default action when a string value cannot be converted to
a number.
- setConvertUnknownCategoricalLevelsToNa(boolean) - Method in class hex.genmodel.easy.EasyPredictModelWrapper.Config
-
Specify how to handle unknown categorical levels.
- setInput(double[], float[], int, int, int[], double[], double[], boolean, boolean) - Static method in class hex.genmodel.GenModel
-
- setModel(GenModel) - Method in class hex.genmodel.easy.EasyPredictModelWrapper.Config
-
Specify model object to wrap.
- setParameter(BackendModel, String, float) - Method in class hex.genmodel.algos.deepwater.caffe.DeepwaterCaffeBackend
-
- setParameters(int) - Method in enum hex.genmodel.algos.glrm.GlrmLoss
-
Initialize additional parameters on the loss function.
- SharedTreeGraph - Class in hex.genmodel.algos.tree
-
Graph for representing a GBM or DRF forest.
- SharedTreeMojoModel - Class in hex.genmodel.algos.tree
-
- SharedTreeMojoModel(String[], String[][]) - Constructor for class hex.genmodel.algos.tree.SharedTreeMojoModel
-
- SharedTreeMojoReader<M extends SharedTreeMojoModel> - Class in hex.genmodel.algos.tree
-
- SharedTreeMojoReader() - Constructor for class hex.genmodel.algos.tree.SharedTreeMojoReader
-
- sin(double, HashMap<String, String[]>) - Static method in class hex.genmodel.GenMunger
-
- sizes - Variable in class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Cmd
-
- skip(int) - Method in class hex.genmodel.utils.ByteBufferWrapper
-
Skip over some bytes in the byte buffer.
- solver - Variable in class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Saved
-
- solverType - Variable in class hex.genmodel.algos.deepwater.caffe.nano.Deepwater.Cmd
-
- sort(int[], double[]) - Static method in class hex.genmodel.utils.ArrayUtils
-
Sort an integer array of indices based on values
Updates indices in place, keeps values the same
- sort(int[], double[], int) - Static method in class hex.genmodel.utils.ArrayUtils
-
- sortByDescendingClassProbability(BinomialModelPrediction) - Method in class hex.genmodel.easy.EasyPredictModelWrapper
-
A helper function to return an array of binomial class probabilities for a prediction in sorted order.
- sortByDescendingClassProbability(MultinomialModelPrediction) - Method in class hex.genmodel.easy.EasyPredictModelWrapper
-
A helper function to return an array of multinomial class probabilities for a prediction in sorted order.
- SortedClassProbability - Class in hex.genmodel.easy.prediction
-
Class probability.
- SortedClassProbability() - Constructor for class hex.genmodel.easy.prediction.SortedClassProbability
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- StringEscapeUtils - Class in hex.genmodel.utils
-
- StringEscapeUtils() - Constructor for class hex.genmodel.utils.StringEscapeUtils
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- strsplit(String, HashMap<String, String[]>) - Static method in class hex.genmodel.GenMunger
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- Success - Static variable in interface hex.genmodel.algos.deepwater.caffe.nano.Deepwater
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- value() - Method in enum hex.genmodel.algos.tree.NaSplitDir
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- value - Variable in class hex.genmodel.easy.prediction.RegressionModelPrediction
-
This value may be Double.NaN, which means NA (this will happen with GLM, for example,
if one of the input values for a new data point is NA).
- valueOf(String) - Static method in enum hex.genmodel.algos.glrm.GlrmInitialization
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Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum hex.genmodel.algos.glrm.GlrmLoss
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum hex.genmodel.algos.glrm.GlrmRegularizer
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Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum hex.genmodel.algos.tree.NaSplitDir
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum hex.genmodel.MojoReaderBackendFactory.CachingStrategy
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum hex.genmodel.utils.DistributionFamily
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum hex.ModelCategory
-
Returns the enum constant of this type with the specified name.
- values() - Static method in enum hex.genmodel.algos.glrm.GlrmInitialization
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum hex.genmodel.algos.glrm.GlrmLoss
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum hex.genmodel.algos.glrm.GlrmRegularizer
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum hex.genmodel.algos.tree.NaSplitDir
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum hex.genmodel.MojoReaderBackendFactory.CachingStrategy
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum hex.genmodel.utils.DistributionFamily
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum hex.ModelCategory
-
Returns an array containing the constants of this enum type, in
the order they are declared.