64 writes to SuggestedSweeps
Microsoft.ML.FastTree (9)
FastTreeArguments.cs (6)
514[TGUI(Description = "The maximum number of leaves per tree", SuggestedSweeps = "2-128;log;inc:4")] 524[TGUI(Description = "Minimum number of training instances required to form a leaf", SuggestedSweeps = "1,10,50")] 533[TGUI(Description = "Total number of trees constructed", SuggestedSweeps = "20,100,500")] 755[TGUI(Label = "Learning Rate", SuggestedSweeps = "0.025-0.4;log")] 763[TGUI(Label = "Shrinkage", SuggestedSweeps = "0.25-4;log")] 771[TGUI(SuggestedSweeps = "0,0.000000001,0.05,0.1,0.2")]
GamTrainer.cs (3)
57[TGUI(SuggestedSweeps = "200,1500,9500")] 71[TGUI(SuggestedSweeps = "0.001,0.1;log")] 109[TGUI(SuggestedSweeps = "1,10,50")]
Microsoft.ML.KMeansClustering (1)
KMeansPlusPlusTrainer.cs (1)
111[TGUI(SuggestedSweeps = "5,10,20,40")]
Microsoft.ML.LightGbm (9)
LightGbmArguments.cs (2)
150[TGUI(Label = "Lambda(L2)", SuggestedSweeps = "0,0.5,1")] 164[TGUI(Label = "Alpha(L1)", SuggestedSweeps = "0,0.5,1")]
LightGbmBinaryTrainer.cs (1)
159[TGUI(Label = "Sigmoid", SuggestedSweeps = "0.5,1")]
LightGbmMulticlassTrainer.cs (1)
102[TGUI(Label = "Sigmoid", SuggestedSweeps = "0.5,1")]
LightGbmRankingTrainer.cs (1)
139[TGUI(Label = "Sigmoid", SuggestedSweeps = "0.5,1")]
LightGbmTrainerBase.cs (4)
83[TGUI(Label = "Number of boosting iterations", SuggestedSweeps = "10,20,50,100,150,200")] 96[TGUI(Label = "Learning Rate", SuggestedSweeps = "0.025-0.4;log")] 105[TGUI(Description = "The maximum number of leaves per tree", SuggestedSweeps = "2-128;log;inc:4")] 114[TGUI(Label = "Min Documents In Leaves", SuggestedSweeps = "1,10,20,50 ")]
Microsoft.ML.Mkl.Components (5)
OlsLinearRegression.cs (1)
83[TGUI(SuggestedSweeps = "1e-6,0.1,1")]
SymSgdClassificationTrainer.cs (4)
96[TGUI(SuggestedSweeps = "1,5,10,20,30,40,50")] 111[TGUI(SuggestedSweeps = "<Auto>,1e1,1e0,1e-1,1e-2,1e-3")] 119[TGUI(SuggestedSweeps = "0.0,1e-5,1e-5,1e-6,1e-7")] 129[TGUI(SuggestedSweeps = "<Auto>,5,20")]
Microsoft.ML.PCA (2)
PcaTrainer.cs (2)
97[TGUI(SuggestedSweeps = "10,20,40,80")] 102[TGUI(SuggestedSweeps = "10,20,40")]
Microsoft.ML.Recommender (7)
MatrixFactorizationTrainer.cs (7)
170[TGUI(SuggestedSweeps = "0,12")] 183[TGUI(SuggestedSweeps = "0.01,0.05,0.1,0.5,1")] 196[TGUI(SuggestedSweeps = "8,16,64,128")] 204[TGUI(SuggestedSweeps = "10,20,40")] 217[TGUI(SuggestedSweeps = "0.001,0.01,0.1")] 237[TGUI(SuggestedSweeps = "1,0.01,0.0001,0.000001")] 249[TGUI(SuggestedSweeps = "0.000001,0,0001,0.01")]
Microsoft.ML.StandardTrainers (25)
LdSvm\LdSvmTrainer.cs (6)
79[TGUI(SuggestedSweeps = "1,3,5,7")] 88[TGUI(SuggestedSweeps = "0.1,0.01,0.001")] 97[TGUI(SuggestedSweeps = "0.1,0.01,0.001")] 106[TGUI(SuggestedSweeps = "0.1,0.01,0.001")] 115[TGUI(SuggestedSweeps = "1.0,0.1,0.01")] 133[TGUI(SuggestedSweeps = "10000,15000")]
Standard\LogisticRegression\LbfgsPredictorBase.cs (5)
46[TGUI(Label = "L2 Weight", Description = "Weight of L2 regularizer term", SuggestedSweeps = "0,0.1,1")] 55[TGUI(Label = "L1 Weight", Description = "Weight of L1 regularizer term", SuggestedSweeps = "0,0.1,1")] 65[TGUI(Label = "Optimization Tolerance", Description = "Threshold for optimizer convergence", SuggestedSweeps = "1e-4,1e-7")] 74[TGUI(Description = "Memory size for L-BFGS", SuggestedSweeps = "5,20,50")] 113[TGUI(Label = "Initial Weights Scale", SuggestedSweeps = "0,0.1,0.5,1")]
Standard\Online\AveragedLinear.cs (1)
28[TGUI(Label = "Learning rate", SuggestedSweeps = "0.01,0.1,0.5,1.0")]
Standard\Online\LinearSvm.cs (1)
84[TGUI(SuggestedSweeps = "0.00001-0.1;log;inc:10")]
Standard\Online\OnlineLinear.cs (2)
28[TGUI(Label = "Number of Iterations", Description = "Number of training iterations through data", SuggestedSweeps = "1,10,100")] 48[TGUI(Label = "Initial Weights Scale", SuggestedSweeps = "0,0.1,0.5,1")]
Standard\SdcaBinary.cs (10)
164[TGUI(Label = "L2 Regularizer Constant", SuggestedSweeps = "<Auto>,1e-7,1e-6,1e-5,1e-4,1e-3,1e-2")] 175[TGUI(Label = "L1 Soft Threshold", SuggestedSweeps = "<Auto>,0,0.25,0.5,0.75,1")] 187[TGUI(Label = "Number of threads", SuggestedSweeps = "<Auto>,1,2,4")] 194[TGUI(SuggestedSweeps = "0.001, 0.01, 0.1, 0.2")] 206[TGUI(Label = "Max number of iterations", SuggestedSweeps = "<Auto>,10,20,100")] 235[TGUI(SuggestedSweeps = "0, 0.01, 0.1, 1")] 1841[TGUI(Label = "L2 Regularization Constant", SuggestedSweeps = "1e-7,5e-7,1e-6,5e-6,1e-5")] 1853[TGUI(Label = "Number of threads", SuggestedSweeps = "1,2,4")] 1861[TGUI(SuggestedSweeps = "1e-2,1e-3,1e-4,1e-5")] 1873[TGUI(Label = "Max number of iterations", SuggestedSweeps = "1,5,10,20")]
Microsoft.ML.Transforms (6)
Text\LdaTransform.cs (6)
60[TGUI(SuggestedSweeps = "20,40,100,200")] 65[TGUI(SuggestedSweeps = "1,10,100,200")] 70[TGUI(SuggestedSweeps = "0.01,0.015,0.07,0.02")] 75[TGUI(SuggestedSweeps = "2,4,8,16")] 80[TGUI(SuggestedSweeps = "100,200,300,400")] 98[TGUI(SuggestedSweeps = "10,20,30,40")]