Extend Gam Samples #3281
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Extend Gam Samples #3281
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rogancarr
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@@ Coverage Diff @@
## master #3281 +/- ##
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+ Coverage 72.62% 72.64% +0.01%
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Files 807 807
Lines 145080 145191 +111
Branches 16213 16223 +10
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+ Hits 105368 105477 +109
- Misses 35294 35295 +1
- Partials 4418 4419 +1
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wschin
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Apr 11, 2019
docs/samples/Microsoft.ML.Samples/Dynamic/Trainers/BinaryClassification/Gam.cs
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docs/samples/Microsoft.ML.Samples/Dynamic/Trainers/BinaryClassification/Gam.cs
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wschin
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docs/samples/Microsoft.ML.Samples/Dynamic/Trainers/BinaryClassification/Gam.cs
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docs/samples/Microsoft.ML.Samples/Dynamic/Trainers/BinaryClassification/Gam.cs
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…ification/Gam.cs Co-Authored-By: rogancarr <[email protected]>
…ification/Gam.cs Co-Authored-By: rogancarr <[email protected]>
wschin
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| @@ -0,0 +1,150 @@ | |||
| using System; | |||
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Similar comments for Gam without Options apply here (and other sample files) #Resolved
…ification/Gam.cs Co-Authored-By: rogancarr <[email protected]>
…ification/Gam.cs Co-Authored-By: rogancarr <[email protected]>
wschin
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shmoradims
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Apr 12, 2019
| else if (x < 0.25) | ||
| return 1; | ||
| else | ||
| return 0; |
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0 [](start = 23, length = 1)
is this the same as x < 0 value? #Resolved
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shmoradims
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| { | ||
| // Generate random, uncoupled features. | ||
| var data = new Data { | ||
| Features = new float[2] { (float)(rng.NextDouble() - 0.5), (float)(rng.NextDouble() - 0.5) } |
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(float)(rng.NextDouble() - 0.5) [](start = 46, length = 31)
i would define this as a lambda below rng definition to make the code cleaner.
var rndFloat => (float)(rng.NextDouble() - 0.5) #Resolved
shmoradims
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Apr 12, 2019
| // at least the default number of bins, as a small number of bins limits the capacity of | ||
| // the model. | ||
| var trainer = mlContext.BinaryClassification.Trainers.Gam( | ||
| new GamBinaryTrainer.Options { MaximumBinCountPerFeature = 16 }); |
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ptions { MaximumBinCountPerFeature = 16 } [](start = 38, length = 41)
can we use some options that are only available through Options class? #Resolved
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Apr 12, 2019
* Adding Regression and Binary Classification GAM samples. (cherry picked from commit e37e5b1)
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This PR extends the current GAM samples for regression and adds them for Binary Classification.
Fixes #3280