public class ModelMetricsMultinomialV3 extends ModelMetricsBase
| Modifier and Type | Field and Description |
|---|---|
ConfusionMatrixV3 |
cm
The ConfusionMatrix object for this scoring run.
|
java.lang.String |
description
Optional description for this scoring run (to note out-of-bag, sampled data, etc.)
|
java.lang.String |
frame
The frame used for this scoring run.
|
long |
frame_checksum
The checksum for the frame used for this scoring run.
|
TwoDimTableV3 |
hit_ratio_table
The hit ratio table for this scoring run.
|
double |
logloss
The logarithmic loss for this scoring run.
|
java.lang.String |
model
The model used for this scoring run.
|
ModelCategory |
model_category
The category (e.g., Clustering) for the model used for this scoring run.
|
long |
model_checksum
The checksum for the model used for this scoring run.
|
double |
MSE
The Mean Squared Error of the prediction for this scoring run.
|
FrameV3 |
predictions
Predictions Frame.
|
double |
r2
The R^2 for this scoring run.
|
long |
scoring_time
The time in mS since the epoch for the start of this scoring run.
|
| Constructor and Description |
|---|
ModelMetricsMultinomialV3() |
public double r2
public TwoDimTableV3 hit_ratio_table
public ConfusionMatrixV3 cm
public double logloss
public java.lang.String model
public long model_checksum
public java.lang.String frame
public long frame_checksum
public java.lang.String description
public ModelCategory model_category
public long scoring_time
public FrameV3 predictions
public double MSE