public static class FrameTask.DataInfo
extends water.Keyed
| Modifier and Type | Class and Description |
|---|---|
static class |
FrameTask.DataInfo.TransformType |
| Modifier and Type | Field and Description |
|---|---|
int[] |
_activeCols |
water.fvec.Frame |
_adaptedFrame |
int[] |
_catMissing |
int[] |
_catOffsets |
int |
_cats |
int |
_foldId |
int |
_nfolds |
double[] |
_normMul |
double[] |
_normRespMul |
double[] |
_normRespSub |
double[] |
_normSub |
int |
_nums |
FrameTask.DataInfo.TransformType |
_predictor_transform |
FrameTask.DataInfo.TransformType |
_response_transform |
int |
_responses |
boolean |
_useAllFactorLevels |
| Constructor and Description |
|---|
FrameTask.DataInfo(water.Key selfKey,
water.fvec.Frame train,
water.fvec.Frame valid,
int hasResponses,
boolean useAllFactorLvls,
double[] normSub,
double[] normMul,
FrameTask.DataInfo.TransformType predictor_transform,
double[] normRespSub,
double[] normRespMul) |
FrameTask.DataInfo(water.Key selfKey,
water.fvec.Frame train,
water.fvec.Frame valid,
int nResponses,
boolean useAllFactors,
FrameTask.DataInfo.TransformType predictor_transform) |
FrameTask.DataInfo(water.Key selfKey,
water.fvec.Frame train,
water.fvec.Frame valid,
int nResponses,
boolean useAllFactorLevels,
FrameTask.DataInfo.TransformType predictor_transform,
FrameTask.DataInfo.TransformType response_transform) |
FrameTask.DataInfo(water.Key selfKey,
water.fvec.Frame fr,
int[][] catLevels,
int responses,
FrameTask.DataInfo.TransformType predictor_transform,
FrameTask.DataInfo.TransformType response_transform,
int foldId,
int nfolds) |
| Modifier and Type | Method and Description |
|---|---|
protected long |
checksum_impl() |
java.lang.String[] |
coefNames() |
FrameTask.DataInfo |
deep_clone() |
FrameTask.DataInfo |
filterExpandedColumns(int[] cols) |
int |
fullN() |
FrameTask.DataInfo |
getFold(int foldId,
int nfolds) |
int |
largestCat() |
int |
numStart() |
java.lang.String |
toString() |
void |
unScaleNumericals(float[] in,
float[] out)
Undo the standardization/normalization of numerical columns
|
public int[] _activeCols
public water.fvec.Frame _adaptedFrame
public int _responses
public FrameTask.DataInfo.TransformType _predictor_transform
public FrameTask.DataInfo.TransformType _response_transform
public boolean _useAllFactorLevels
public int _nums
public int _cats
public int[] _catOffsets
public int[] _catMissing
public double[] _normMul
public double[] _normSub
public double[] _normRespMul
public double[] _normRespSub
public int _foldId
public int _nfolds
public FrameTask.DataInfo(water.Key selfKey,
water.fvec.Frame train,
water.fvec.Frame valid,
int hasResponses,
boolean useAllFactorLvls,
double[] normSub,
double[] normMul,
FrameTask.DataInfo.TransformType predictor_transform,
double[] normRespSub,
double[] normRespMul)
public FrameTask.DataInfo(water.Key selfKey,
water.fvec.Frame train,
water.fvec.Frame valid,
int nResponses,
boolean useAllFactors,
FrameTask.DataInfo.TransformType predictor_transform)
public FrameTask.DataInfo(water.Key selfKey,
water.fvec.Frame fr,
int[][] catLevels,
int responses,
FrameTask.DataInfo.TransformType predictor_transform,
FrameTask.DataInfo.TransformType response_transform,
int foldId,
int nfolds)
public FrameTask.DataInfo(water.Key selfKey,
water.fvec.Frame train,
water.fvec.Frame valid,
int nResponses,
boolean useAllFactorLevels,
FrameTask.DataInfo.TransformType predictor_transform,
FrameTask.DataInfo.TransformType response_transform)
protected long checksum_impl()
checksum_impl in class water.Keyedpublic FrameTask.DataInfo deep_clone()
public FrameTask.DataInfo filterExpandedColumns(int[] cols)
public java.lang.String toString()
toString in class java.lang.Objectpublic FrameTask.DataInfo getFold(int foldId, int nfolds)
public final int fullN()
public final int largestCat()
public final int numStart()
public final java.lang.String[] coefNames()
public final void unScaleNumericals(float[] in,
float[] out)
in - input valuesout - output values (can be the same as input)