| Environments | PYTHON :: EASI :: MODELER |
| Batch Mode | Yes |
| Quick links | Description :: Parameters :: Parameter descriptions :: Details :: References :: Related |
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| Name | Type | Length | Value range |
|---|---|---|---|
| InputBitmap1: Input bitmap segment | bitmap port | 0 - 1024 | |
| OutputBitmap1: Output bitmap segment | Bitmap port | 0 - 1024 | |
| Random Sampling Density * | Float | 1 - 1 | 0 - 100 |
| Bitmap Layer Name | String | 0 - | Default: RANDMASK |
| Bitmap Layer Description | String | 0 - |
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InputBitmap1: Input bitmap segment
Specifies the image bitmaps to serve as sample masks for the output bitmaps.
Duplicate segments are allowed.
OutputBitmap1: Output bitmap segment
Specifies the output bitmap to receive the sample results.
The output bitmap may be the same as the input bitmap; if this parameter is not specified, new bitmap segments are created.
Duplicate bitmap segments are NOT allowed.
Random Sampling Density
Specifies the density, in percentage, at which to sample the output bitmap mask.
If set to 100 (percent), the output bitmap will be 1 (all pixels on) everywhere the input bitmap is 1 (or everywhere, if there is no input bitmap). If set to 50, approximately half the output bits will be 1.
Bitmap Layer Name
Specifies a name (up to 8 characters) for the output bitmap segment. If this parameter is not specified, the default name RANDMASK is used.
Bitmap Layer Description
Describes (in up to 64 characters) the contents or origins of the output neural network segment.
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RANDBIT generates a mask to be used for random sampling. An output bitmap suitable for use with other "maskable" functions is generated, based on a specified sampling density (DENSITY) and an input bitmap mask (DBIB).
The input bitmap parameter (DBIB) specifies the input masks from which to compute a sub-sample space. If an input bitmap is not provided, the entire image space will be sampled.
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Law & Kelton, "Simulation Modelling and Analysis", P449.
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