Serialized Form (h2o-genmodel version 3.12.0.1 API)

Package hex.genmodel
- Class hex.genmodel.GenModel extends java.lang.Object implements Serializable
  - Serialized Fields
    - _names
```
java.lang.String[] _names
```
      Column names; last is response for supervised models
    - _domains
```
java.lang.String[][] _domains
```
      Categorical (factor/enum) mappings, per column. Null for non-enum cols. Columns match the post-init cleanup columns. The last column holds the response col enums for SupervisedModels.
    - _offsetColumn
```
java.lang.String _offsetColumn
```
      Name of the column with offsets (used for certain types of models).
- Class hex.genmodel.GenMunger extends java.lang.Object implements Serializable
  - Serialized Fields
    - _steps
```
GenMunger.Step<T>[] _steps
```
- Class hex.genmodel.GenMunger.Step extends java.lang.Object implements Serializable
  - Serialized Fields
    - _names
```
java.lang.String[] _names
```
    - _types
```
java.lang.String[] _types
```
    - _outNames
```
java.lang.String[] _outNames
```
    - _params
```
java.util.HashMap<K,V> _params
```
- Class hex.genmodel.MojoModel extends GenModel implements Serializable
  - Serialized Fields
    - _category
```
ModelCategory _category
```
    - _uuid
```
java.lang.String _uuid
```
    - _supervised
```
boolean _supervised
```
    - _nfeatures
```
int _nfeatures
```
    - _nclasses
```
int _nclasses
```
    - _balanceClasses
```
boolean _balanceClasses
```
    - _defaultThreshold
```
double _defaultThreshold
```
    - _priorClassDistrib
```
double[] _priorClassDistrib
```
    - _modelClassDistrib
```
double[] _modelClassDistrib
```

Package hex.genmodel.algos.deepwater

Class hex.genmodel.algos.deepwater.DeepwaterMojoModel extends MojoModel implements Serializable

Serialized Fields

_problem_type
```
java.lang.String _problem_type
```
_mini_batch_size
```
int _mini_batch_size
```
_height
```
int _height
```
_width
```
int _width
```
_channels
```
int _channels
```
_nums
```
int _nums
```
_cats
```
int _cats
```
_catOffsets
```
int[] _catOffsets
```
_normMul
```
double[] _normMul
```
_normSub
```
double[] _normSub
```
_normRespMul
```
double[] _normRespMul
```
_normRespSub
```
double[] _normRespSub
```
_useAllFactorLevels
```
boolean _useAllFactorLevels
```

_backend

deepwater.backends.BackendTrain _backend

_model
```
deepwater.backends.BackendModel _model
```

_imageDataSet

deepwater.datasets.ImageDataSet _imageDataSet

_opts
```
deepwater.backends.RuntimeOptions _opts
```

_backendParams

deepwater.backends.BackendParams<T> _backendParams

Package hex.genmodel.algos.drf
- Class hex.genmodel.algos.drf.DrfMojoModel extends SharedTreeMojoModel implements Serializable
  - Serialized Fields
    - _binomial_double_trees
```
boolean _binomial_double_trees
```
Package hex.genmodel.algos.gbm
- Class hex.genmodel.algos.gbm.GbmMojoModel extends SharedTreeMojoModel implements Serializable
  - Serialized Fields
    - _family
```
DistributionFamily _family
```
    - _init_f
```
double _init_f
```
Package hex.genmodel.algos.glm
- Class hex.genmodel.algos.glm.GlmMojoModel extends hex.genmodel.algos.glm.GlmMojoModelBase implements Serializable
  - Serialized Fields
    - _link
```
java.lang.String _link
```
    - _tweedieLinkPower
```
double _tweedieLinkPower
```
    - _linkFn
```
hex.genmodel.algos.glm.GlmMojoModel.Function1 _linkFn
```
    - _binomial
```
boolean _binomial
```
- Class hex.genmodel.algos.glm.GlmMultinomialMojoModel extends hex.genmodel.algos.glm.GlmMojoModelBase implements Serializable
  - Serialized Fields
    - P
```
int P
```
    - noff
```
int noff
```
Package hex.genmodel.algos.glrm
- Class hex.genmodel.algos.glrm.GlrmMojoModel extends MojoModel implements Serializable
  - Serialized Fields
    - _ncolA
```
int _ncolA
```
    - _ncolX
```
int _ncolX
```
    - _ncolY
```
int _ncolY
```
    - _nrowY
```
int _nrowY
```
    - _archetypes
```
double[][] _archetypes
```
    - _numLevels
```
int[] _numLevels
```
    - _permutation
```
int[] _permutation
```
    - _losses
```
GlrmLoss[] _losses
```
    - _regx
```
GlrmRegularizer _regx
```
    - _gammax
```
double _gammax
```
    - _init
```
GlrmInitialization _init
```
    - _ncats
```
int _ncats
```
    - _nnums
```
int _nnums
```
    - _normSub
```
double[] _normSub
```
    - _normMul
```
double[] _normMul
```
Package hex.genmodel.algos.kmeans
- Class hex.genmodel.algos.kmeans.KMeansMojoModel extends MojoModel implements Serializable
  - Serialized Fields
    - _standardize
```
boolean _standardize
```
    - _centers
```
double[][] _centers
```
    - _means
```
double[] _means
```
    - _mults
```
double[] _mults
```
    - _modes
```
int[] _modes
```
Package hex.genmodel.algos.tree
- Class hex.genmodel.algos.tree.SharedTreeMojoModel extends MojoModel implements Serializable
  - Serialized Fields
    - _mojo_version
```
java.lang.Number _mojo_version
```
    - _ntree_groups
```
int _ntree_groups
```
      _ntree_groups is the number of trees requested by the user. For binomial case or regression this is also the total number of trees trained; however in multinomial case each requested "tree" is actually represented as a group of trees, with _ntrees_per_group trees in each group. Each of these individual trees assesses the likelihood that a given observation belongs to class A, B, C, etc. of a multiclass response.
    - _ntrees_per_group
```
int _ntrees_per_group
```
    - _compressed_trees
```
byte[][] _compressed_trees
```
      Array of binary tree data, each tree being a byte[] array. The trees are logically grouped into a rectangular grid of dimensions SharedTreeMojoModel._ntree_groups x SharedTreeMojoModel._ntrees_per_group, however physically they are stored as 1-dimensional list, and an [i, j] logical tree is mapped to the index SharedTreeMojoModel.treeIndex(int, int).
    - _compressed_trees_aux
```
byte[][] _compressed_trees_aux
```
      Array of auxiliary binary tree data, each being a byte[] array.
    - _calib_glm_beta
```
double[] _calib_glm_beta
```
      GLM's beta used for calibrating output probabilities using Platt Scaling.
Package hex.genmodel.algos.word2vec
- Class hex.genmodel.algos.word2vec.Word2VecMojoModel extends MojoModel implements Serializable
  - Serialized Fields
    - _vecSize
```
int _vecSize
```
    - _embeddings
```
java.util.HashMap<K,V> _embeddings
```
Package hex.genmodel.easy
- Class hex.genmodel.easy.EasyPredictModelWrapper extends java.lang.Object implements Serializable
  - Serialized Fields
    - m
```
GenModel m
```
    - modelColumnNameToIndexMap
```
java.util.HashMap<K,V> modelColumnNameToIndexMap
```
    - domainMap
```
java.util.HashMap<K,V> domainMap
```
    - convertUnknownCategoricalLevelsToNa
```
boolean convertUnknownCategoricalLevelsToNa
```
    - convertInvalidNumbersToNa
```
boolean convertInvalidNumbersToNa
```
    - unknownCategoricalLevelsSeenPerColumn
```
java.util.concurrent.ConcurrentHashMap<K,V> unknownCategoricalLevelsSeenPerColumn
```
- Class hex.genmodel.easy.RowData extends java.util.HashMap<java.lang.String,java.lang.Object> implements Serializable
Package hex.genmodel.easy.exception
- Class hex.genmodel.easy.exception.PredictException extends java.lang.Exception implements Serializable
- Class hex.genmodel.easy.exception.PredictNumberFormatException extends PredictException implements Serializable
- Class hex.genmodel.easy.exception.PredictUnknownCategoricalLevelException extends PredictException implements Serializable
  - Serialized Fields
    - columnName
```
java.lang.String columnName
```
    - unknownLevel
```
java.lang.String unknownLevel
```
- Class hex.genmodel.easy.exception.PredictUnknownTypeException extends PredictException implements Serializable
- Class hex.genmodel.easy.exception.PredictWrongModelCategoryException extends PredictException implements Serializable
Package hex.genmodel.easy.prediction
- Class hex.genmodel.easy.prediction.AbstractPrediction extends java.lang.Object implements Serializable
- Class hex.genmodel.easy.prediction.AutoEncoderModelPrediction extends AbstractPrediction implements Serializable
- Class hex.genmodel.easy.prediction.BinomialModelPrediction extends AbstractPrediction implements Serializable
  - Serialized Fields
    - labelIndex
```
int labelIndex
```
      0 or 1.
    - label
```
java.lang.String label
```
      Label of the predicted level.
    - classProbabilities
```
double[] classProbabilities
```
      This array of length two has the class probability for each class (aka categorical or factor level) in the response column. The array corresponds to the level names returned by:
      model.getDomainValues(model.getResponseIdx())
      "Domain" is the internal H2O term for level names. The values in this array 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). If they are valid numeric values, then they will sum up to 1.0.
    - calibratedClassProbabilities
```
double[] calibratedClassProbabilities
```
      Class probabilities calibrated by Platt Scaling. Optional, only calculated if the model supports it.
- Class hex.genmodel.easy.prediction.ClusteringModelPrediction extends AbstractPrediction implements Serializable
  - Serialized Fields
    - cluster
```
int cluster
```
      Chosen cluster for this data point.
- Class hex.genmodel.easy.prediction.DimReductionModelPrediction extends AbstractPrediction implements Serializable
  - Serialized Fields
    - dimensions
```
double[] dimensions
```
- Class hex.genmodel.easy.prediction.KLimeModelPrediction extends RegressionModelPrediction implements Serializable
  - Serialized Fields
    - cluster
```
int cluster
```
      Chosen cluster for this data point.
    - reasonCodes
```
double[] reasonCodes
```
      Array of reason code. Each element of the array corresponds to a feature used in model training. Order of the codes is given by the order of columns, GenModel._names.
- Class hex.genmodel.easy.prediction.MultinomialModelPrediction extends AbstractPrediction implements Serializable
  - Serialized Fields
    - labelIndex
```
int labelIndex
```
      Index number of the predicted class (aka categorical or factor level) in the response column.
    - label
```
java.lang.String label
```
      Label of the predicted level.
    - classProbabilities
```
double[] classProbabilities
```
      This array has an element for each class (aka categorical or factor level) in the response column. The array corresponds to the level names returned by:
      model.getDomainValues(model.getResponseIdx())
      "Domain" is the internal H2O term for level names. The values in this array may be Double.NaN, which means NA. If they are valid numeric values, then they will sum up to 1.0.
- Class hex.genmodel.easy.prediction.RegressionModelPrediction extends AbstractPrediction implements Serializable
  - Serialized Fields
    - value
```
double value
```
      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).
- Class hex.genmodel.easy.prediction.Word2VecPrediction extends AbstractPrediction implements Serializable
  - Serialized Fields
    - wordEmbeddings
```
java.util.HashMap<K,V> wordEmbeddings
```

Serialized Form

Package hex.genmodel

Class hex.genmodel.GenModel extends java.lang.Object implements Serializable

Serialized Fields

_names

_domains

_offsetColumn

Class hex.genmodel.GenMunger extends java.lang.Object implements Serializable

Serialized Fields

_steps

Class hex.genmodel.GenMunger.Step extends java.lang.Object implements Serializable

Serialized Fields

_names

_types

_outNames

_params

Class hex.genmodel.MojoModel extends GenModel implements Serializable

Serialized Fields

_category

_uuid

_supervised

_nfeatures

_nclasses

_balanceClasses

_defaultThreshold

_priorClassDistrib

_modelClassDistrib

Package hex.genmodel.algos.deepwater

Class hex.genmodel.algos.deepwater.DeepwaterMojoModel extends MojoModel implements Serializable

Serialized Fields

_problem_type

_mini_batch_size

_height

_width

_channels

_nums

_cats

_catOffsets

_normMul

_normSub

_normRespMul

_normRespSub

_useAllFactorLevels

_backend

_model

_imageDataSet

_opts

_backendParams

Package hex.genmodel.algos.drf

Class hex.genmodel.algos.drf.DrfMojoModel extends SharedTreeMojoModel implements Serializable

Serialized Fields

_binomial_double_trees

Package hex.genmodel.algos.gbm

Class hex.genmodel.algos.gbm.GbmMojoModel extends SharedTreeMojoModel implements Serializable

Serialized Fields

_family

_init_f

Package hex.genmodel.algos.glm

Class hex.genmodel.algos.glm.GlmMojoModel extends hex.genmodel.algos.glm.GlmMojoModelBase implements Serializable

Serialized Fields

_link

_tweedieLinkPower

_linkFn

_binomial

Class hex.genmodel.algos.glm.GlmMultinomialMojoModel extends hex.genmodel.algos.glm.GlmMojoModelBase implements Serializable

Serialized Fields

P

noff

Package hex.genmodel.algos.glrm

Class hex.genmodel.algos.glrm.GlrmMojoModel extends MojoModel implements Serializable

Serialized Fields

_ncolA

_ncolX

_ncolY

_nrowY

_archetypes

_numLevels

_permutation

_losses

_regx