public void SetupBreastCancerPipeline()
{
_breastCancerExample = new BreastCancerData()
{
Features = new[] { 5f, 1f, 1f, 1f, 2f, 1f, 3f, 1f, 1f }
};
string breastCancerDataPath = GetBenchmarkDataPath("breast-cancer.txt");
var env = new MLContext(seed: 1);
// Create text loader.
var options = new TextLoader.Options()
{
Columns = new[]
{
new TextLoader.Column("Label", DataKind.Boolean, 0),
new TextLoader.Column("Features", DataKind.Single, new[] { new TextLoader.Range(1, 9) })
},
HasHeader = false,
};
var loader = new TextLoader(env, options: options);
IDataView data = loader.Load(breastCancerDataPath);
var pipeline = env.BinaryClassification.Trainers.SdcaNonCalibrated(
new SdcaNonCalibratedBinaryTrainer.Options {
NumberOfThreads = 1, ConvergenceTolerance = 1e-2f,
});
var model = pipeline.Fit(data);
_breastCancerModel = env.Model.CreatePredictionEngine <BreastCancerData, BreastCancerPrediction>(model);
}
public void SetupBreastCancerPipeline()
{
_breastCancerExample = new BreastCancerData()
{
Features = new[] { 5f, 1f, 1f, 1f, 2f, 1f, 3f, 1f, 1f }
};
string _breastCancerDataPath = BaseTestClass.GetDataPath("breast-cancer.txt");
var env = new MLContext(seed: 1, conc: 1);
var reader = new TextLoader(env, columns: new[]
{
new TextLoader.Column("Label", DataKind.BL, 0),
new TextLoader.Column("Features", DataKind.R4, new[] { new TextLoader.Range(1, 9) })
},
hasHeader: false
);
IDataView data = reader.Read(_breastCancerDataPath);
var pipeline = env.BinaryClassification.Trainers.StochasticDualCoordinateAscent(
new SdcaBinaryTrainer.Options {
NumThreads = 1, ConvergenceTolerance = 1e-2f,
});
var model = pipeline.Fit(data);
_breastCancerModel = model.CreatePredictionEngine <BreastCancerData, BreastCancerPrediction>(env);
}
public void SetupBreastCancerPipeline()
{
_breastCancerExample = new BreastCancerData()
{
Features = new[] { 5f, 1f, 1f, 1f, 2f, 1f, 3f, 1f, 1f }
};
string _breastCancerDataPath = Program.GetInvariantCultureDataPath("breast-cancer.txt");
var env = new MLContext(seed: 1, conc: 1);
var reader = new TextLoader(env, columns: new[]
{
new TextLoader.Column("Label", DataKind.BL, 0),
new TextLoader.Column("Features", DataKind.R4, new[] { new TextLoader.Range(1, 9) })
},
hasHeader: false
);
IDataView data = reader.Read(_breastCancerDataPath);
var pipeline = new SdcaBinaryTrainer(env, "Label", "Features", advancedSettings: (s) => { s.NumThreads = 1; s.ConvergenceTolerance = 1e-2f; });
var model = pipeline.Fit(data);
_breastCancerModel = model.CreatePredictionEngine <BreastCancerData, BreastCancerPrediction>(env);
}
public void SetupBreastCancerPipeline()
{
_breastCancerExample = new BreastCancerData()
{
Features = new[] { 5f, 1f, 1f, 1f, 2f, 1f, 3f, 1f, 1f }
};
string _breastCancerDataPath = Program.GetInvariantCultureDataPath("breast-cancer.txt");
using (var env = new ConsoleEnvironment(seed: 1, conc: 1, verbose: false, sensitivity: MessageSensitivity.None, outWriter: EmptyWriter.Instance))
{
var reader = new TextLoader(env,
new TextLoader.Arguments()
{
Separator = "\t",
HasHeader = false,
Column = new[]
{
new TextLoader.Column("Label", DataKind.BL, 0),
new TextLoader.Column("Features", DataKind.R4, new[] { new TextLoader.Range(1, 9) })
}
});
IDataView data = reader.Read(_breastCancerDataPath);
var pipeline = new LinearClassificationTrainer(env, "Features", "Label", advancedSettings: (s) => { s.NumThreads = 1; s.ConvergenceTolerance = 1e-2f; });
var model = pipeline.Fit(data);
_breastCancerModel = model.MakePredictionFunction <BreastCancerData, BreastCancerPrediction>(env);
}
}
public void SetupBreastCancerPipeline()
{
_breastCancerExample = new BreastCancerData()
{
Features = new[] { 5f, 1f, 1f, 1f, 2f, 1f, 3f, 1f, 1f }
};
string _breastCancerDataPath = Program.GetInvariantCultureDataPath("breast-cancer.txt");
var pipeline = new LearningPipeline();
pipeline.Add(new TextLoader(_breastCancerDataPath).CreateFrom <BreastCancerData>(useHeader: false, separator: '\t'));
pipeline.Add(new StochasticDualCoordinateAscentBinaryClassifier()
{
NumThreads = 1, ConvergenceTolerance = 1e-2f
});
_breastCancerModel = pipeline.Train <BreastCancerData, BreastCancerPrediction>();
}