Fit Distribution to Feature Data¶
Group (Subgroup)¶
Statistics (Ensemble)
Description¶
This Filter will fit "common" statistical distributions (as chosen by the user) to specific Feature level attributes. The user can chose both which attributes to fit and with what distribution to fit them. The parameters that define the "best-fit" distributions will be stored in an Ensemble array. The user also has the option to remove biased Features from the fitting process.
Note: The array selected must be a scalar array
Parameters¶
| Name | Type | Description |
|---|---|---|
| Distribution Type | Enumeration | Specifies distribution type to fit to the data (options include lognormal, power and beta distributions) |
| Remove Biased Features | Boolean | Whether biased features are to be omitted from the binning counts |
Required Geometry¶
Not Applicable
Required Objects¶
| Kind | Default Name | Type | Component Dimensions | Description |
|---|---|---|---|---|
| Feature Attribute Array | FitParameters | Any | (1) | Selected feature array to be fit |
| Feature Attribute Array | Phases | int32_t | (1) | Specifies to which Ensemble each Feature belongs |
| Feature Attribute Array | BiasedFeatures | bool | (1) | Flag of 1 if Feature is biased or of 0 if it is not. Only required if Remove Biased Features is checked |
Created Objects¶
| Kind | Default Name | Type | Component Dimensions | Description |
|---|---|---|---|---|
| Ensemble Attribute Array | Statistics | float | (2) or (3) | Parameters of the fit distribution |
Example Pipelines¶
License & Copyright¶
Please see the description file distributed with this Plugin
DREAM.3D Mailing Lists¶
If you need more help with a Filter, please consider asking your question on the DREAM.3D Users Google group!