ComputePerInstanceStatistics implements ComputePerInstanceStatistics
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◆ ComputePerInstanceStatistics() [1/2]
Synapse.ML.Train.ComputePerInstanceStatistics.ComputePerInstanceStatistics |
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◆ ComputePerInstanceStatistics() [2/2]
Synapse.ML.Train.ComputePerInstanceStatistics.ComputePerInstanceStatistics |
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◆ GetEvaluationMetric()
string Synapse.ML.Train.ComputePerInstanceStatistics.GetEvaluationMetric |
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Gets evaluationMetric value
- Returns
- evaluationMetric: Metric to evaluate models with
◆ GetLabelCol()
string Synapse.ML.Train.ComputePerInstanceStatistics.GetLabelCol |
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Gets labelCol value
- Returns
- labelCol: The name of the label column
◆ GetScoredLabelsCol()
string Synapse.ML.Train.ComputePerInstanceStatistics.GetScoredLabelsCol |
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Gets scoredLabelsCol value
- Returns
- scoredLabelsCol: Scored labels column name, only required if using SparkML estimators
◆ GetScoredProbabilitiesCol()
string Synapse.ML.Train.ComputePerInstanceStatistics.GetScoredProbabilitiesCol |
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Gets scoredProbabilitiesCol value
- Returns
- scoredProbabilitiesCol: Scored probabilities, usually calibrated from raw scores, only required if using SparkML estimators
◆ GetScoresCol()
string Synapse.ML.Train.ComputePerInstanceStatistics.GetScoresCol |
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Gets scoresCol value
- Returns
- scoresCol: Scores or raw prediction column name, only required if using SparkML estimators
◆ Load()
◆ Read()
Get the corresponding JavaMLReader instance.
- Returns
- an JavaMLReader<ComputePerInstanceStatistics> instance for this ML instance.
◆ Save()
void Synapse.ML.Train.ComputePerInstanceStatistics.Save |
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Saves the object so that it can be loaded later using Load. Note that these objects can be shared with Scala by Loading or Saving in Scala.
- Parameters
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path | The path to save the object to |
◆ SetEvaluationMetric()
◆ SetLabelCol()
◆ SetScoredLabelsCol()
Sets value for scoredLabelsCol
- Parameters
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value | Scored labels column name, only required if using SparkML estimators |
- Returns
- New ComputePerInstanceStatistics object
◆ SetScoredProbabilitiesCol()
Sets value for scoredProbabilitiesCol
- Parameters
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value | Scored probabilities, usually calibrated from raw scores, only required if using SparkML estimators |
- Returns
- New ComputePerInstanceStatistics object
◆ SetScoresCol()
Sets value for scoresCol
- Parameters
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value | Scores or raw prediction column name, only required if using SparkML estimators |
- Returns
- New ComputePerInstanceStatistics object
The documentation for this class was generated from the following file:
- synapse/ml/train/ComputePerInstanceStatistics.cs