KNN
KNN - GetClasses
Returns the number of classes considered by the model.
IN
| Name | Type | Description |
|---|---|---|
| InKNN | DataModel_KNN | The input KNN |
| Name | String | Set the tool's name |
| Enable | Bool | Sets if current tool is enabled or not |
OUT
| Name | Type | Description |
|---|---|---|
| OutInt | Int | Number of classes. |
| Error | ErrorState | Gets the execution error message |
KNN - GetFeatures
Returns the number of features considered by the model.
IN
| Name | Type | Description |
|---|---|---|
| InKNN | DataModel_KNN | The input KNN |
| Name | String | Set the tool's name |
| Enable | Bool | Sets if current tool is enabled or not |
OUT
| Name | Type | Description |
|---|---|---|
| OutInt | Int | Number of features. |
| Error | ErrorState | Gets the execution error message |
KNN - IsTrained
Checks if model has been trained.
IN
| Name | Type | Description |
|---|---|---|
| InKNN | DataModel_KNN | The input KNN |
| Name | String | Set the tool's name |
| Enable | Bool | Sets if current tool is enabled or not |
OUT
| Name | Type | Description |
|---|---|---|
| OutBool | Bool | true if model was trained, false otherwise. |
| Error | ErrorState | Gets the execution error message |
KNN - Load
Load internal model.
IN
| Name | Type | Description |
|---|---|---|
| InFilename | PathFile | Filename. |
| Name | String | Set the tool's name |
| Enable | Bool | Sets if current tool is enabled or not |
OUT
| Name | Type | Description |
|---|---|---|
| OutKNN | DataModel_KNN | Loaded model. |
| Error | ErrorState | Gets the execution error message |
KNN - Predict_Dataset
Classify dataset's features.
IN
| Name | Type | Description |
|---|---|---|
| InKNN | DataModel_KNN | The input KNN |
| InDataset | Dataset | Input dataset. |
| InK | Int | Number of nearest neighbors. It should be an odd value starting from 1 （3 and 5 are good values to start from）. |
| Name | String | Set the tool's name |
| Enable | Bool | Sets if current tool is enabled or not |
OUT
| Name | Type | Description |
|---|---|---|
| OutInt | IntArray | Predicted classes. |
| Error | ErrorState | Gets the execution error message |
KNN - Predict_Multiple
Classify multiple feature vectors.
IN
| Name | Type | Description |
|---|---|---|
| InKNN | DataModel_KNN | The input KNN |
| InFeatures | FloatArrayArray | Input features. |
| InK | Int | Number of nearest neighbors. It should be an odd value starting from 1 （3 and 5 are good values to start from）. |
| Name | String | Set the tool's name |
| Enable | Bool | Sets if current tool is enabled or not |
OUT
| Name | Type | Description |
|---|---|---|
| OutInt | IntArray | Predicted classes. |
| Error | ErrorState | Gets the execution error message |
KNN - Predict_Single
Classify a feature vector.
IN
| Name | Type | Description |
|---|---|---|
| InKNN | DataModel_KNN | The input KNN |
| InFeatures | FloatArray | Input features. |
| InK | Int | Number of nearest neighbors. It should be an odd value starting from 1 （3 and 5 are good values to start from）. |
| Name | String | Set the tool's name |
| Enable | Bool | Sets if current tool is enabled or not |
OUT
| Name | Type | Description |
|---|---|---|
| OutInt | Int | Predicted class. |
| Error | ErrorState | Gets the execution error message |
KNN - Save
Save internal model.
IN
| Name | Type | Description |
|---|---|---|
| InKNN | DataModel_KNN | The input KNN |
| InFilename | PathFile | Filename. |
| Name | String | Set the tool's name |
| Enable | Bool | Sets if current tool is enabled or not |
OUT
| Name | Type | Description |
|---|---|---|
| Error | ErrorState | Gets the execution error message |
KNN - Train_FromDataset
Train a new model.
IN
| Name | Type | Description |
|---|---|---|
| InDataset | Dataset | Dataset. |
| InShuffle | Bool | Whether to shuffle the data. |
| Name | String | Set the tool's name |
| Enable | Bool | Sets if current tool is enabled or not |
OUT
| Name | Type | Description |
|---|---|---|
| OutKNN | DataModel_KNN | Trained model. |
| Error | ErrorState | Gets the execution error message |
KNN - Train_FromFeaturesAndClasses
Train a new model.
IN
| Name | Type | Description |
|---|---|---|
| InFeatures | FloatArrayArray | Features. |
| InClasses | IntArray | Corresponding classes. |
| InNClasses | Int | Number of classes. |
| InShuffle | Bool | Whether to shuffle the data. |
| Name | String | Set the tool's name |
| Enable | Bool | Sets if current tool is enabled or not |
OUT
| Name | Type | Description |
|---|---|---|
| OutKNN | DataModel_KNN | Trained model. |
| Error | ErrorState | Gets the execution error message |