Justin Ormont justinormont
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| // Note: Some of these functions are likely better left to the .NET language's implementation for better internalization support. | |
| // Using a regex for these was found to be slower. | |
| Func<char, bool> isVowel = ((x) => x == 'e' || x == 'a' || x == 'o' || x == 'i' || x == 'u' || x == 'E' || x == 'A' || x == 'O' || x == 'I' || x == 'U' ); | |
| Func<char, bool> isConsonant = ((x) => (x >= 'A' && x <= 'Z')||(x >= 'a' && x <= 'z') && !(x == 'e' || x == 'a' || x == 'o' || x == 'i' || x == 'u' || x == 'E' || x == 'A' || x == 'O' || x == 'I' || x == 'U')); | |
| Func<char, bool> isVowelOrDigit = ((x) => x == 'e' || x == 'a' || x == 'o' || x == 'i' || x == 'u' || x == 'E' || x == 'A' || x == 'O' || x == 'I' || x == 'U' || (x >= '0' && x <= '9')); | |
| Func<string, int> maxRepeatingCharCount = ((s) => { int max = 0, j = 0; for (var i = 0; i < s.Length; ++i) { if (s[i] == s[j]) { if (max < i - j) max = i - j; } else j = i; } return max; }); | |
| Func<string, int> maxRepeatingVowelCount = ((s) => { int max = 0, j = 0; for (var i = 0; i < s.Leng |
justinormont
/ featureImportanceMCLR.cs
Created
May 23, 2019 14:13
ML.NET Feature Importance for Multiclass Logistic Regression
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| /* | |
| This demonstrates feature importance for a multiclass logistic regression in ML.NET | |
| var trainer = mlContext.MulticlassClassification.Trainers.LbfgsMaximumEntropy(new LbfgsMaximumEntropyMulticlassTrainer.Options() { LabelColumnName = "MyLabel", FeatureColumnName = "Features" }) | |
| */ | |
| var p = (Microsoft.ML.Data.EstimatorChain<Microsoft.ML.Data.MulticlassPredictionTransformer<Microsoft.ML.Trainers.MaximumEntropyModelParameters>>)trainingPipeline; | |
| // Train the model | |
| var model = p.Fit(trainingDataView); |