39 references to Data
Microsoft.ML.Data (39)
EntryPoints\SchemaManipulation.cs (6)
25
var xf = ColumnConcatenatingTransformer.Create(env, input, input.
Data
);
26
return new CommonOutputs.TransformOutput { Model = new TransformModelImpl(env, xf, input.
Data
), OutputData = xf };
37
var xf = new ColumnSelectingTransformer(env, input.KeepColumns, input.DropColumns, input.KeepHidden, input.IgnoreMissing).Transform(input.
Data
);
38
return new CommonOutputs.TransformOutput { Model = new TransformModelImpl(env, xf, input.
Data
), OutputData = xf };
48
var xf = ColumnCopyingTransformer.Create(env, input, input.
Data
);
49
return new CommonOutputs.TransformOutput { Model = new TransformModelImpl(env, xf, input.
Data
), OutputData = xf };
EntryPoints\SelectRows.cs (8)
26
var xf = new RangeFilter(host, input, input.
Data
);
27
return new CommonOutputs.TransformOutput { Model = new TransformModelImpl(env, xf, input.
Data
), OutputData = xf };
38
var xf = SkipTakeFilter.Create(host, input, input.
Data
);
39
return new CommonOutputs.TransformOutput { Model = new TransformModelImpl(env, xf, input.
Data
), OutputData = xf };
50
var xf = SkipTakeFilter.Create(host, input, input.
Data
);
51
return new CommonOutputs.TransformOutput { Model = new TransformModelImpl(env, xf, input.
Data
), OutputData = xf };
62
var xf = SkipTakeFilter.Create(host, input, input.
Data
);
63
return new CommonOutputs.TransformOutput { Model = new TransformModelImpl(env, xf, input.
Data
), OutputData = xf };
Prediction\Calibrator.cs (2)
2215
input.UncalibratedPredictorModel.PrepareData(host, input.
Data
, out data, out predictor);
2229
return new TOut() { PredictorModel = new PredictorModelImpl(host, data, input.
Data
, calibratedPredictor) };
Transforms\BootstrapSamplingTransformer.cs (2)
260
var view = new BootstrapSamplingTransformer(h, input, input.
Data
);
263
Model = new TransformModelImpl(h, view, input.
Data
),
Transforms\FeatureContributionCalculationTransformer.cs (2)
378
var outData = new FeatureContributionCalculatingTransformer(host, predictor, options.FeatureColumn, options.Top, options.Bottom, options.Normalize).Transform(options.
Data
);
380
return new CommonOutputs.TransformOutput { Model = new TransformModelImpl(env, outData, options.
Data
), OutputData = outData };
Transforms\GenerateNumberTransform.cs (2)
489
var xf = new GenerateNumberTransform(h, input, input.
Data
);
492
Model = new TransformModelImpl(h, xf, input.
Data
),
Transforms\LabelIndicatorTransform.cs (2)
238
var xf = Create(host, input, input.
Data
);
239
return new CommonOutputs.TransformOutput { Model = new TransformModelImpl(env, xf, input.
Data
), OutputData = xf };
Transforms\NopTransform.cs (2)
152
var xf = CreateIfNeeded(host, input.
Data
);
153
return new CommonOutputs.TransformOutput { Model = new TransformModelImpl(env, xf, input.
Data
), OutputData = xf };
Transforms\NormalizeUtils.cs (11)
87
var xf = NormalizeTransform.Create(host, input, input.
Data
);
88
return new CommonOutputs.TransformOutput { Model = new TransformModelImpl(env, xf, input.
Data
), OutputData = xf };
99
var xf = NormalizeTransform.Create(host, input, input.
Data
);
100
return new CommonOutputs.TransformOutput { Model = new TransformModelImpl(env, xf, input.
Data
), OutputData = xf };
111
var xf = NormalizeTransform.Create(host, input, input.
Data
);
112
return new CommonOutputs.TransformOutput { Model = new TransformModelImpl(env, xf, input.
Data
), OutputData = xf };
123
var xf = NormalizeTransform.Create(host, input, input.
Data
);
124
return new CommonOutputs.TransformOutput { Model = new TransformModelImpl(env, xf, input.
Data
), OutputData = xf };
135
var xf = NormalizeTransform.Create(host, input, input.
Data
);
136
return new CommonOutputs.TransformOutput { Model = new TransformModelImpl(env, xf, input.
Data
), OutputData = xf };
145
var schema = input.
Data
.Schema;
Transforms\TypeConverting.cs (2)
43
var view = TypeConvertingTransformer.Create(h, input, input.
Data
);
47
Model = new TransformModelImpl(h, view, input.
Data
),