public void TestOldSavingAndLoading()
{
var data = new[] { new TestClass()
{
A = 1, B = 2, C = 3,
}, new TestClass()
{
A = 4, B = 5, C = 6
} };
var dataView = ComponentCreation.CreateDataView(Env, data);
var pipe = new HashEstimator(Env, new[] {
new HashTransformer.ColumnInfo("A", "HashA", hashBits: 4, invertHash: -1),
new HashTransformer.ColumnInfo("B", "HashB", hashBits: 3, ordered: true),
new HashTransformer.ColumnInfo("C", "HashC", seed: 42),
new HashTransformer.ColumnInfo("A", "HashD"),
});
var result = pipe.Fit(dataView).Transform(dataView);
var resultRoles = new RoleMappedData(result);
using (var ms = new MemoryStream())
{
TrainUtils.SaveModel(Env, Env.Start("saving"), ms, null, resultRoles);
ms.Position = 0;
var loadedView = ModelFileUtils.LoadTransforms(Env, dataView, ms);
}
}
public void TestMetadata()
{
var data = new[] {
new TestMeta()
{
A = new float[2] {
3.5f, 2.5f
}, B = 1, C = new double[2] {
5.1f, 6.1f
}, D = 7
},
new TestMeta()
{
A = new float[2] {
3.5f, 2.5f
}, B = 1, C = new double[2] {
5.1f, 6.1f
}, D = 7
},
new TestMeta()
{
A = new float[2] {
3.5f, 2.5f
}, B = 1, C = new double[2] {
5.1f, 6.1f
}, D = 7
}
};
var dataView = ComponentCreation.CreateDataView(Env, data);
var pipe = new HashEstimator(Env, new[] {
new HashTransformer.ColumnInfo("A", "HashA", invertHash: 1, hashBits: 10),
new HashTransformer.ColumnInfo("A", "HashAUnlim", invertHash: -1, hashBits: 10),
new HashTransformer.ColumnInfo("A", "HashAUnlimOrdered", invertHash: -1, hashBits: 10, ordered: true)
});
var result = pipe.Fit(dataView).Transform(dataView);
ValidateMetadata(result);
Done();
}
