Feature extraction methods
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Methods
(static) logvar(window, dimensionopt)
Computes the log of the variance along the specified dimension
Parameters:
| Name | Type | Attributes | Description |
|---|---|---|---|
window |
Array.<number> | Array.<Array.<number>> |
The data |
|
dimension |
string |
<optional> |
If 'rows' or 'columns' passed, the features are calculated along that dimension |
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(static) rootMeanSquare(window, dimensionopt)
Computes the root mean square along the specified dimension
Parameters:
| Name | Type | Attributes | Description |
|---|---|---|---|
window |
Array.<number> | Array.<Array.<number>> |
The data |
|
dimension |
string |
<optional> |
If 'rows' or 'columns' passed, the features are calculated along that dimension |
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(static) variance(window, dimensionopt)
Computes the variance along the specified dimension
Parameters:
| Name | Type | Attributes | Description |
|---|---|---|---|
window |
Array.<number> | Array.<Array.<number>> |
The data |
|
dimension |
string |
<optional> |
If 'rows' or 'columns' passed, the features are calculated along that dimension |
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