2 instantiations of RegressionEvaluator
Microsoft.ML.Data (2)
Evaluators\RegressionEvaluator.cs (1)
358
_evaluator = new
RegressionEvaluator
(Host, evalArgs);
TrainCatalog.cs (1)
605
var eval = new
RegressionEvaluator
(Environment, new RegressionEvaluator.Arguments() { });
20 references to RegressionEvaluator
Microsoft.ML.Data (20)
Evaluators\Metrics\RegressionMetrics.cs (5)
72
MeanAbsoluteError = Fetch(
RegressionEvaluator
.L1);
73
MeanSquaredError = Fetch(
RegressionEvaluator
.L2);
74
RootMeanSquaredError = Fetch(
RegressionEvaluator
.Rms);
75
LossFunction = Fetch(
RegressionEvaluator
.Loss);
76
RSquared = Fetch(
RegressionEvaluator
.RSquared);
Evaluators\RegressionEvaluator.cs (13)
14
[assembly: LoadableClass(typeof(
RegressionEvaluator
), typeof(
RegressionEvaluator
), typeof(
RegressionEvaluator
.Arguments), typeof(SignatureEvaluator),
15
"Regression Evaluator",
RegressionEvaluator
.LoadName, "Regression")]
18
"Regression Evaluator",
RegressionEvaluator
.LoadName, "Regression")]
28
RegressionEvaluatorBase<
RegressionEvaluator
.Aggregator, float, Double>
36
[EnumValueDisplay(
RegressionEvaluator
.L1)]
38
[EnumValueDisplay(
RegressionEvaluator
.L2)]
40
[EnumValueDisplay(
RegressionEvaluator
.Rms)]
42
[EnumValueDisplay(
RegressionEvaluator
.Loss)]
44
[EnumValueDisplay(
RegressionEvaluator
.RSquared)]
347
private readonly
RegressionEvaluator
_evaluator;
356
var evalArgs = new
RegressionEvaluator
.Arguments();
TrainCatalog.cs (2)
605
var
eval = new RegressionEvaluator(Environment, new
RegressionEvaluator
.Arguments() { });