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Object org.apache.spark.ml.evaluation.Evaluator
public abstract class Evaluator
:: DeveloperApi :: Abstract class for evaluators that compute metrics from predictions.
Constructor Summary | |
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Evaluator()
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Method Summary | |
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abstract Evaluator |
copy(ParamMap extra)
Creates a copy of this instance with the same UID and some extra params. |
abstract double |
evaluate(DataFrame dataset)
Evaluates the output. |
double |
evaluate(DataFrame dataset,
ParamMap paramMap)
Evaluates model output and returns a scalar metric (larger is better). |
Methods inherited from class Object |
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equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Methods inherited from interface org.apache.spark.ml.param.Params |
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clear, copyValues, defaultCopy, defaultParamMap, explainParam, explainParams, extractParamMap, extractParamMap, get, getDefault, getOrDefault, getParam, hasDefault, hasParam, isDefined, isSet, paramMap, params, set, set, set, setDefault, setDefault, setDefault, shouldOwn, validateParams |
Constructor Detail |
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public Evaluator()
Method Detail |
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public double evaluate(DataFrame dataset, ParamMap paramMap)
dataset
- a dataset that contains labels/observations and predictions.paramMap
- parameter map that specifies the input columns and output metrics
public abstract double evaluate(DataFrame dataset)
dataset
- a dataset that contains labels/observations and predictions.
public abstract Evaluator copy(ParamMap extra)
Params
copy
in interface Params
extra
- (undocumented)
defaultCopy()
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