| BasicMetricValue |
- Type
- double
- Properties
- Filter, Nillable, Sort
- Description
- The value of a basic metric. A basic metric is a single number.
For metrics that comprise a set of graph points, see
ComplexMetricValue .
|
| ComplexMetricValue |
- Type
- textarea
- Properties
- Nillable
- Description
- The X and Y values for a complex metric. A complex metric is a
coordinate on a graph. For example, in classification models, you
can use a line on a graph to create classification categories.
|
| DataSetType |
- Type
- picklist
- Properties
- Filter, Group, Nillable, Restricted picklist, Sort
- Description
- The type of dataset.
- Possible values are:
- Baseline
- HoldOut
- Live
- Model
- Training
|
| EndTime |
- Type
- dateTime
- Properties
- Filter, Nillable, Sort
- Description
- The date and time when the model training finished.
|
| GraphType |
- Type
- picklist
- Properties
- Filter, Group, Nillable, Restricted picklist, Sort
- Description
- The type of graph.
- Possible values are:
- ConfidencePlot
- ConfusionMatrixPerThreshold
- DiscountedCumulativeGainsGraph
- HitRateGraph
- KBasedRankingGraph
- LiftPlot
- MeanReciprocalRankGraph
- MultiClassConfusionMatrixPerThreshold
- MultiClassMisclassifications
- NormalizedDiscountedCumulativeGainsGraph
- PrecisionGraph
- RecallGraph
- RegressionErrorBands
|
| MetricType |
- Type
- picklist
- Properties
- Filter, Group, Nillable, Restricted picklist, Sort
- Description
- The type of metric.
- Possible values are:
- Accuracy
- AveragePrecision
- BalancedAccuracy
- DiscountedCumulativeGainAtK
- ExpectedTopAbsoluteRank
- ExpectedTopPercentileRank
- F1Score
- FMeasure
- HitRateAtK
- LiftBucket
- MeanAbsoluteError
- MeanAbsoluteRank
- MeanAveragePrecisionAtK
- MeanPercentileRank
- MeanReciprocalRank
- MeanReciprocalRankAtK
- MeanTopReciprocalRank
- NormalizedDiscountedCumulativeGainsAtK
- Precision
- PrecisionAtK
- RSquared
- Recall
- RecallAtK
- RootMeanSquaredError
- auPR
- auROC
|
| ModelId |
- Type
- reference
- Properties
- Filter, Group, Sort
- Description
- The ID of the related MLModel.
- This field is a polymorphic relationship field.
- Relationship Name
- Model
- Relationship Type
- Lookup
- Refers To
- MLModel
|
| Name |
- Type
- string
- Properties
- Autonumber, Defaulted on create, Filter, idLookup, Sort
- Description
- An automatically generated ID that uniquely identifies the
metric.
|
| RowCount |
- Type
- int
- Properties
- Filter, Group, Nillable, Sort
- Description
- The number of rows.
|
| Span |
- Type
- picklist
- Properties
- Filter, Group, Nillable, Restricted picklist, Sort
- Description
- The time span for the metric. Possible values are:
- Day
- Hour
- Month
- SinceLastAction
- Week
|
| StartTime |
- Type
- dateTime
- Properties
- Filter, Nillable, Sort
- Description
- The date and time when the model training started.
|
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