Constructor
new HhmmDecoder(windowSizeopt)
Parameters:
| Name | Type | Attributes | Default | Description |
|---|---|---|---|---|
windowSize |
Number |
<optional> |
1 | Size of the likelihood smoothing window. |
- Source:
Methods
filter(observation, resultsCallbackopt) → {hhmmResults}
The decoding function.
Parameters:
| Name | Type | Attributes | Default | Description |
|---|---|---|---|---|
observation |
Array.number | An input float vector to be estimated. |
||
resultsCallback |
hhmmResultsCallback |
<optional> |
null | The callback handling the estimation results. |
- Source:
Returns:
- Type
- hhmmResults
getLikeliestLabel() → {String}
Get the currently estimated likeliest label.
- Source:
Returns:
- Type
- String
getLikelihoodWindow() → {Number}
Get the likelihood smoothing window size.
- Source:
Returns:
- Type
- Number
getModel() → {xmmHhmmModel}
Get the actual XMM Hierarchical HMM model.
- Source:
Returns:
- Type
- xmmHhmmModel
getNumberOfClasses() → {Number}
Get the total number of classes the model was trained with.
- Source:
Returns:
- Type
- Number
getRegressionVectorSize() → {Number}
Get the output dimension of the model (size of a regression vector).
- Source:
Returns:
- Type
- Number
reset()
Resets the intermediate results of the estimation (shortcut for reloading the model).
- Source:
setLikelihoodWindow(newWindowSize)
Set the likelihood smoothing window size.
Parameters:
| Name | Type | Description |
|---|---|---|
newWindowSize |
Number | the new window size. |
- Source:
setModel(model)
Set the actual XMM Hierarchical HMM model.
Parameters:
| Name | Type | Description |
|---|---|---|
model |
xmmHhmmModel |
- Source: