double[] _beta
int _n_time
long _min_time
int _n_offsets
boolean _has_start_column
boolean _has_weights_column
long n
long n_missing
double sumWeights
double[] sumWeightedCatX
double[] sumWeightedNumX
double[] sizeRiskSet
double[] sizeCensored
double[] sizeEvents
long[] countEvents
double[][] sumXEvents
double[] sumRiskEvents
double[][] sumXRiskEvents
double[][][] sumXXRiskEvents
double[] sumLogRiskEvents
double[] rcumsumRisk
double[][] rcumsumXRisk
double[][][] rcumsumXXRisk
Frame dataset
Key[] destKeys
Key jobKey
Frame[] splits
java.lang.Throwable[] workersExceptions
Frame dataset
float[] ratios
Key[] destKeys
Key jobKey
Frame[] splits
java.lang.Throwable[] workersExceptions
FrameTask.DataInfo _dinfo
Key _jobKey
float _useFraction
boolean _shuffle
int _max_qbins
double _valStart
double _valEnd
Quantiles[] _qbins
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 _ncols
int _nclass
Key[][] _treeKeys
int _k
DTree _tree
int _leaf
DHistogram<TDH extends DHistogram>[][] _hcs
boolean _subset
Key _jobKey
Key _modelKey
double _lambda
GLMModel _res
GLMModel _model
GLMValidation _res
double _lambda
boolean _improved
Key _jobKey
GLMModel[] _xmodels
GLMValidation[] _xvals
long _nobs
float[] _thresholds
Key _jobKey
GLMParams _glm
double _xy
double _xx
double _icpt
double _sub
double _mul
GLMParams _glm
double[] _beta
Gram _gram
double[] _xy
double[] _grad
double _yy
GLMValidation _val
double _reg
long _nobs
boolean _validate
float[] _thresholds
float[][] _newThresholds
int[] _ti
boolean _computeGradient
boolean _computeGram
int _noffsets
double _ymu
GLMTask.GLMIterationTask[] _glmts
Gram gram
double rho
double kappa
double _bestErr
double _lastErr
double[] xy
double[] _xyPrime
double _orlx
int _k
double[] u
double[] z
Gram.Cholesky chol
double d
int _iter
int N
int max_iter
int round
int _iBlock
int _rBlock
Gram _gram
double[][] _XY
long _nobs
boolean _hasIntercept
boolean _isWeighted
Frame _tgt
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
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
Key[][] _remoteChunksKeys
float _ss
int _rowcnt
boolean _score_new_tree_only
long[] _chunk_row_mapping
int[] _rowsPerNode
int[] _model_classes_mapping
int[] _data_classes_mapping
int _cmin_model_mapping
int _cmin_data_mapping
Key _rfmodel
Key _jobKey
SpeeDRF.DRFParams _params
Frame _fr
java.lang.String _key
Key _jobKey
Key _modelKey
Tree.StatType _type
Data _data
Sampling _sampler
int _data_id
int _maxDepth
int _numSplitFeatures
Tree.INode _tree
java.lang.ThreadLocal<T>[] _stats
long _seed
int _exclusiveSplitLimit
int _verbose
byte _producerId
boolean _regression
boolean _local_mode
boolean _score_pojo
DTree.TreeModel.CompressedTree compressedTree
float _rate
int _var
boolean _oob
int _ncols
int _nclasses
boolean _classification
SpeeDRFModel _model
int[] _modelDataMap
Frame _data
int _classcol
int[] _model_classes_mapping
int[] _data_classes_mapping
int _cmin_model_mapping
int _cmin_data_mapping
int _cmin
int _ntrees
long[] _nrows
long[] _votesSOOB
long[] _votesOOB
long[] _voteDiffs
float _varimp
float _varimpSD
int[] _oobs
Key _key
Key[] _keys
DException _ex
Key _key
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
TaskStatus.NodeTaskInfo[] _infos
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
Interaction _ci
Frame _target
Key _job
java.util.Map<K,V> _sortedMap
Frame _f1
Frame _f2
boolean _res
double _fpointPrecision
Vec.VecIdenticalTask[] _vts
CreateFrame _createFrame
int[] _cat_cols
int[] _int_cols
int[] _real_cols
int[] _bin_cols
java.lang.String[][] _domain
Frame _out
Key _job
ParseDataset2 _job
Key[] _keys
CustomParser.ParserSetup _setup
boolean _delete_on_done
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
CustomParser.ParserSetup _userSetup
boolean _checkHeader
boolean _empty
CustomParser.PSetupGuess _gSetup
Utils.IcedArrayList<T extends Iced> _failedSetup
Utils.IcedArrayList<T extends Iced> _conflicts
CustomParser.PSetupGuess _gSetup
Key[] _failed
long[] chunk_counts
long total_chunk_count
long[] chunk_byte_sizes
long total_chunk_byte_size
long[] byte_size_per_node
float byte_size_per_node_mean
float byte_size_per_node_min
float byte_size_per_node_max
float byte_size_per_node_stddev
ProfileCollectorTask.NodeProfile[] _result
int _stack_depth