double[] _min
double[] _max
double[] _sumsq
double[] _sum
long[] _n
ValueArray _ary
Key _arykey
int _pass
int _colA
int _colB
double _sumX
double _sumY
double _Xbar
double _Ybar
double _XXbar
double _YYbar
double _XYbar
DGLM.GLMModel _m
OldModel _adaptedModel
int _response
double[] _thresholds
double _ymu
DGLM.GLMValidation _res
RowVecTask.Sampling _sampling
Frame dataset
float[] ratios
Key[] destKeys
Key jobKey
Frame[] splits
java.lang.Throwable[] workersExceptions
FrameTask.DataInfo _dinfo
Job _job
float _useFraction
boolean _shuffle
Key _arykey
int _col
Histogram.Bins _hist
Key _arykey
int _col
long _n
double _sum
double _sumsq
double _min
double _max
Key _arykey
int[] _cols
double[][] _clusters
boolean _normalize
double[][] _sums
long[] _counts
double _error
Key _arykey
int[] _cols
double[][] _clusters
double _sqr
double _probability
long _seed
boolean _normalize
double[][] _clust2
Key _arykey
int[] _cols
double[][] _clusters
boolean _normalize
double _sqr
Job.ChunkProgressJob _job
Key _arykey
int[] _cols
double[][] _clusters
boolean _normalized
Key _arykey
int[] _cols
double[][] _clusters
boolean _normalized
long[] _rows
double[] _dist
Key _arykey
int _colA
int _colB
double _Ybar
double _beta0
double _beta1
double _rss
double _ssr
Key _arykey
int _colA
int _colB
double _Xbar
double _Ybar
double _XXbar
double _YYbar
double _XYbar
Key _arykey
int _colA
int _colB
long _rows
double _sumX
double _sumY
double _sumX2
NewRowVecTask.RowFunc<T extends Iced> _func
NewRowVecTask.DataFrame _data
Job _job
Iced _result
int _max_qbins
double _valStart
double _valEnd
Quantiles[] _qbins
ValueArray _ary
Freezable _res
ValueArray _ary
RowVecTask.Sampling _s
int[] _modelDataMap
int[] _colCatMap
double[] _normSub
double[] _normMul
Summary2.BasicStat[] _basicStats
Summary2.BasicStat[] _basics
int _max_qbins
Summary2[] _summaries
boolean _training
DeepLearningModel.DeepLearningModelInfo _input
DeepLearningModel.DeepLearningModelInfo _output
int _chunk_node_count
Frame _fr
DeepLearningModel.DeepLearningModelInfo _model_info
float _sync_fraction
DeepLearningTask _res
float _rate
DTree.TreeModel.CompressedTree[][] _trees
int _var
boolean _oob
int _ncols
int _nclasses
boolean _classification
int _ntrees
long[] _votes
long[] _nrows
float[] _sse
int _k
DTree _tree
int _leaf
DHistogram<TDH extends DHistogram>[][] _hcs
boolean _subset
GLMModel _model
GLMValidation _res
int _lambdaIdx
boolean _improved
GLMModel[] _xmodels
GLMValidation[] _xvals
long _nobs
GLMParams _glm
double[] _beta
Gram _gram
double[] _xy
double[] _grad
double _yy
GLMValidation _val
double _ymu
double _reg
long _nobs
boolean _validate
boolean _computeGradient
boolean _computeGram
int n_folds
long _n
Gram[] _gram
double[][] _xy
Gram _gram
double[][] _XY
long _nobs
boolean _hasIntercept
boolean _isWeighted
Job _job
FrameTask.DataInfo _dinfo
int _nres
int _nobs
double[] _rescnt
double[][][] _jntcnt
double[] _classWt
boolean _computeOOB
int _treesUsed
Key _modelKey
Key _datakey
int _classcol
ConfusionTask.CMJob _job
hex.rf.ConfusionTask.CM _matrix
hex.rf.ConfusionTask.CM[] _localMatrices
long[] _errorsPerTree
RFModel _rfmodel
Job _job
DRF.DRFParams _params
int _classColumnIdx
int _rowsize
int[] _imbalancedClasses
int[] _histogram
byte[][] _bufs
int[] _offsets
Key[][] _createdKeys
Key _aryKey
int[] _minorities
int _classIdx
long _res
int _n
int[][] _histogram
int _classIdx
Key _aryKey
Key[] _createdKeys
Tree.StatType _type
Data _data
Sampling _sampler
int _data_id
int _maxDepth
int _numSplitFeatures
Tree.INode _tree
java.lang.ThreadLocal<T>[] _stats
Job _job
long _seed
int _exclusiveSplitLimit
int _verbose
byte _producerId
double[] _classWt
boolean _computeOOB
int _treesUsed
Key _modelKey
Key _datakey
int _classcol
hex.singlenoderf.CMTask.CM _matrix
float _sum
hex.singlenoderf.CMTask.CM[] _localMatrices
long[] _errorsPerTree
SpeeDRFModel _model
int[] _modelDataMap
Frame _data
int _N
long[][][] _cms
VarImp _varimp
int[] _oobs
int[] _chunk_row_mapping
int[] _rowsPerNode
int[] _model_classes_mapping
int[] _data_classes_mapping
int _cmin_model_mapping
int _cmin_data_mapping
SpeeDRFModel _rfmodel
Job _job
SpeeDRF.DRFParams _params
SpeeDRF _drf
Tree.StatType _type
Data _data
Sampling _sampler
int _data_id
int _maxDepth
int _numSplitFeatures
Tree.INode _tree
java.lang.ThreadLocal<T>[] _stats
Job _job
long _seed
int _exclusiveSplitLimit
int _verbose
byte _producerId
boolean _regression
float _rate
int _var
boolean _oob
int _ncols
int _nclasses
boolean _classification
SpeeDRFModel _model
boolean _validation
int[] _modelDataMap
Frame _data
int _classcol
int[] _model_classes_mapping
int[] _data_classes_mapping
int _cmin_model_mapping
int _cmin_data_mapping
int _ntrees
long[] _nrows
long[] _votesSOOB
long[] _votesOOB
long[] _voteDiffs
float _varimp
float _varimpSD
int[] _oobs
Key _key
Key _origDataset
boolean _res
Key[] _keys
AutoBuffer _ab
int _ctrl
Job _job
Frame _fr
AppendableVec[] _appendables
int _vid
int _noutputs
boolean _run_local
byte _priority
short _nxx
short _nhi
water.MRTask2.MRProfile _profile
long _t0
Key _key
int _max
short _type
byte _be
boolean _gatherRows
int[] _cols
Key _uniq
NonBlockingHashMap<TypeK,TypeV> _groups
Flow.PerRow<X extends Flow.PerRow> _pr
Utils.IcedHashMap<K extends Iced,V extends Iced> _prs
Flow.FlowGroupBy _ex
Flow.PerRow<X extends Flow.PerRow> _pr
Flow _ex
Frame _fr
boolean _eq
double _diff
CreateFrame _createFrame
int[] _cat_cols
int[] _int_cols
int[] _real_cols
java.lang.String[][] _domain
Frame _out
Key _job
Key _eKey
ValueString[][] _gDomain
Enum[][] _lEnums
int[] _chunk2Enum
int[] _colIds
Key _eKey
Key _progress
CustomParser.ParserSetup _setup
java.lang.String _parserr
Utils.IcedHashMap<K extends Iced,V extends Iced> _fileChunkOffsets
ParseDataset2.FVecDataOut _dout
Vec.VectorGroup _vg
int _vecIdStart
int[] _chunk2Enum
ParseDataset2 _job
Key[] _keys
CustomParser.ParserSetup _setup
boolean _delete_on_done
Frame _f
Vec[] _srcVecs
private void readObject(java.io.ObjectInputStream s) throws java.io.IOException, java.lang.ClassNotFoundException
java.io.IOException
java.lang.ClassNotFoundException
private void writeObject(java.io.ObjectOutputStream s) throws java.io.IOException
java.io.IOException
private void readObject(java.io.ObjectInputStream s) throws java.io.IOException, java.lang.ClassNotFoundException
java.io.IOException
java.lang.ClassNotFoundException
private void writeObject(java.io.ObjectOutputStream s) throws java.io.IOException
java.io.IOException
boolean _opt_for_space
NonBlockingHashMap<TypeK,TypeV> _map
private void readObject(java.io.ObjectInputStream s) throws java.io.IOException, java.lang.ClassNotFoundException
java.io.IOException
java.lang.ClassNotFoundException
private void writeObject(java.io.ObjectOutputStream s) throws java.io.IOException
java.io.IOException
private void readObject(java.io.ObjectInputStream s) throws java.io.IOException, java.lang.ClassNotFoundException
java.io.IOException
java.lang.ClassNotFoundException
private void writeObject(java.io.ObjectOutputStream s) throws java.io.IOException
java.io.IOException
water.parser.DParseTask.Pass _phase
long _numRows
int _nchunks
int _ncolumns
int _rpc
int _rowsize
ParseDataset _job
java.lang.String _error
CustomParser _parser
boolean _streamMode
boolean _map
byte[] _colTypes
int[] _scale
int[] _bases
long[] _invalidValues
double[] _min
double[] _max
double[] _mean
double[] _sigma
long[] _nrows
Enum[] _enums
CustomParser.ParserSetup _userSetup
boolean _checkHeader
CustomParser.PSetupGuess _gSetup
Utils.IcedArrayList<T extends Iced> _failedSetup
Utils.IcedArrayList<T extends Iced> _conflicts
ParseDataset job
Key[] keys
CustomParser.ParserSetup setup
CustomParser.PSetupGuess _gSetup
Key[] _failed
ParseDataset _job
DParseTask _tsk
ParseDataset.FileInfo[] _fileInfo
CustomParser.ParserSetup _parserSetup
java.lang.String _path
Key _arykey
long _indexFrom
java.lang.String _err
ProfileCollectorTask.NodeProfile[] _result
int _stack_depth