See: Description
| Class | Description |
|---|---|
| ALDArrayMean |
Operator returning the mean value of an 1D array.
|
| ALDArrayMin |
Operator returning the minimum value of an 1D array.
|
| ALDArraySum |
Operator returning the sum of an 1D array.
|
| ALDCalcMeanArray |
Operator for calculating the mean of given double values.
|
| ALDClusterExperiment |
Demo operator to cluster experimental data.
|
| ALDDemoOpControllable |
Controllable demo operator for testing interaction.
|
| ALDKmeansOp |
Demo operator clustering experimental data using k-means.
|
| ALDParameterTester |
Dummy operator class for demo and testing of input parameter types.
|
| ALDPCAOp |
Demo operator computing the PCA for experimental data.
|
| ALDSummarizeArrayOp |
A abstract summarizing operator taking a 1D array as input and
return a summarizing scalar.
|
| ALDTransposeMatrix |
Operator for transposing matrices.
|
| ApplyToMatrix |
Demo operator to apply a summarizing operation to a 2D array in row or column wise fashion.
|
| ExperimentalData |
This class is a toy implementation of experimental data for
a demo of Alida's parametrized classes.
|
| FilterExperimentalDataOp |
Demo operator to filter experimental data.
|
| MatrixSum |
Demo operator to calculate colum or row sums of a 2D array.
|
| NormalizeExperimentalDataOp |
Demo operator to normalize experimental data.
|
| Enum | Description |
|---|---|
| ApplyToMatrix.SummarizeMode |
Choose row or colum wise sum
|
| MatrixSum.SummarizeMode |
Choose row or colum wise sum
|
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