1 write to Settings
Microsoft.ML.AutoML (1)
API\ExperimentBase.cs (1)
41
Settings
= settings;
34 references to Settings
Microsoft.ML.AutoML (34)
API\BinaryClassificationExperiment.cs (9)
167
_experiment.SetBinaryClassificationMetric(
Settings
.OptimizingMetric, label);
217
_experiment.SetBinaryClassificationMetric(
Settings
.OptimizingMetric, label);
271
_experiment.SetBinaryClassificationMetric(
Settings
.OptimizingMetric, label);
326
var useSdca =
Settings
.Trainers.Contains(BinaryClassificationTrainer.SdcaLogisticRegression);
327
var uselbfgs =
Settings
.Trainers.Contains(BinaryClassificationTrainer.LbfgsLogisticRegression);
328
var useLgbm =
Settings
.Trainers.Contains(BinaryClassificationTrainer.LightGbm);
329
var useFastForest =
Settings
.Trainers.Contains(BinaryClassificationTrainer.FastForest);
330
var useFastTree =
Settings
.Trainers.Contains(BinaryClassificationTrainer.FastTree);
347
if (
Settings
.UseAutoZeroTuner)
API\ExperimentBase.cs (2)
315
Settings
, MetricsAgent, _trainerAllowList, columns, runner, _logger);
350
Settings
, MetricsAgent, _trainerAllowList, columns, runner, _logger);
API\MulticlassClassificationExperiment.cs (12)
151
_experiment.SetMulticlassClassificationMetric(
Settings
.OptimizingMetric, label);
152
_experiment.SetTrainingTimeInSeconds(
Settings
.MaxExperimentTimeInSeconds);
202
_experiment.SetMulticlassClassificationMetric(
Settings
.OptimizingMetric, label);
203
_experiment.SetTrainingTimeInSeconds(
Settings
.MaxExperimentTimeInSeconds);
259
_experiment.SetMulticlassClassificationMetric(
Settings
.OptimizingMetric, label);
260
_experiment.SetTrainingTimeInSeconds(
Settings
.MaxExperimentTimeInSeconds);
316
var useSdcaMaximumEntrophy =
Settings
.Trainers.Contains(MulticlassClassificationTrainer.SdcaMaximumEntropy);
317
var uselbfgsLR =
Settings
.Trainers.Contains(MulticlassClassificationTrainer.LbfgsLogisticRegressionOva);
318
var uselbfgsME =
Settings
.Trainers.Contains(MulticlassClassificationTrainer.LbfgsMaximumEntropy);
319
var useLgbm =
Settings
.Trainers.Contains(MulticlassClassificationTrainer.LightGbm);
320
var useFastForest =
Settings
.Trainers.Contains(MulticlassClassificationTrainer.FastForestOva);
321
var useFastTree =
Settings
.Trainers.Contains(MulticlassClassificationTrainer.FastTreeOva);
API\RegressionExperiment.cs (11)
141
_experiment.SetTrainingTimeInSeconds(
Settings
.MaxExperimentTimeInSeconds);
142
_experiment.SetMaxModelToExplore(
Settings
.MaxModels);
148
_experiment.SetRegressionMetric(
Settings
.OptimizingMetric, label);
197
_experiment.SetRegressionMetric(
Settings
.OptimizingMetric, label);
253
_experiment.SetRegressionMetric(
Settings
.OptimizingMetric, label);
299
var useSdca =
Settings
.Trainers.Contains(RegressionTrainer.StochasticDualCoordinateAscent);
300
var uselbfgs =
Settings
.Trainers.Contains(RegressionTrainer.LbfgsPoissonRegression);
301
var useLgbm =
Settings
.Trainers.Contains(RegressionTrainer.LightGbm);
302
var useFastForest =
Settings
.Trainers.Contains(RegressionTrainer.FastForest);
303
var useFastTree =
Settings
.Trainers.Contains(RegressionTrainer.FastTree) ||
Settings
.Trainers.Contains(RegressionTrainer.FastTreeTweedie);