new Classification(typeopt)
Creates a set of classification objects using the constructor from emscripten
Parameters:
| Name | Type | Attributes | Description |
|---|---|---|---|
type |
string |
<optional> |
which classification algorithm to use |
Properties:
| Name | Type | Description |
|---|---|---|
Module.ClassificationCpp |
function | constructor from emscripten |
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Methods
getK() → {Array}
Returns a vector of current k values for each model.
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Returns:
k values
- Type
- Array
process(input)
Deprecated! USe run() instead
Parameters:
| Name | Type | Description |
|---|---|---|
input |
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reset() → {Boolean}
Returns the model set to its initial configuration.
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Returns:
true indicates successful initialization
- Type
- Boolean
run(input) → {Array}
Does classifications on an input vector.
Parameters:
| Name | Type | Description |
|---|---|---|
input |
Array | An array of features to be processed. Non-arrays are converted. |
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Returns:
output - One number for each model in the set
- Type
- Array
setK(whichModel, newK)
Sets the k values for a particular model model.
Parameters:
| Name | Type | Description |
|---|---|---|
whichModel |
Number | which model |
newK |
Number | set K to this value |
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train(trainingSet) → {Boolean}
Trains the models using the input. Clears previous training set.
Parameters:
| Name | Type | Description |
|---|---|---|
trainingSet |
Object | An array of training examples. |
- Source:
Returns:
true indicates successful training
- Type
- Boolean