MLP
MLP - GetActivationFunction
Returns the activation function.
IN
| Name | Type | Description |
|---|---|---|
| InMLP | DataModel_MLP | The input MLP |
| Name | String | Set the tool's name |
| Enable | Bool | Sets if current tool is enabled or not |
OUT
| Name | Type | Description |
|---|---|---|
| OutActivationFunction | Enum < ActivationFunction > | Activation function. |
| Error | ErrorState | Gets the execution error message |
MLP - GetClasses
Returns the number of classes considered by the model.
IN
| Name | Type | Description |
|---|---|---|
| InMLP | DataModel_MLP | The input MLP |
| 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 |
MLP - GetFeatures
Returns the number of features considered by the model.
IN
| Name | Type | Description |
|---|---|---|
| InMLP | DataModel_MLP | The input MLP |
| 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 |
MLP - GetHiddenLayerSizes
Returns the hidden layer sizes.
IN
| Name | Type | Description |
|---|---|---|
| InMLP | DataModel_MLP | The input MLP |
| Name | String | Set the tool's name |
| Enable | Bool | Sets if current tool is enabled or not |
OUT
| Name | Type | Description |
|---|---|---|
| OutInt | IntArray | Hidden layers. |
| Error | ErrorState | Gets the execution error message |
MLP - IsNormalized
Returns whether to normalize input features.
IN
| Name | Type | Description |
|---|---|---|
| InMLP | DataModel_MLP | The input MLP |
| 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 input features are normalized, false otherwise. |
| Error | ErrorState | Gets the execution error message |
MLP - IsTrained
Checks if model has been trained.
IN
| Name | Type | Description |
|---|---|---|
| InMLP | DataModel_MLP | The input MLP |
| 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 |
MLP - 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 |
|---|---|---|
| OutMLP | DataModel_MLP | Loaded model. |
| Error | ErrorState | Gets the execution error message |
MLP - Predict_Dataset
Classify dataset's features.
IN
| Name | Type | Description |
|---|---|---|
| InMLP | DataModel_MLP | The input MLP |
| InDataset | Dataset | Input dataset. |
| 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 |
MLP - Predict_Multiple
Classify multiple feature vectors.
IN
| Name | Type | Description |
|---|---|---|
| InMLP | DataModel_MLP | The input MLP |
| InFeatures | FloatArrayArray | Input features. |
| 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 |
MLP - Predict_Single
Classify a feature vector.
IN
| Name | Type | Description |
|---|---|---|
| InMLP | DataModel_MLP | The input MLP |
| InFeatures | FloatArray | Input features. |
| 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 |
MLP - Save
Save internal model.
IN
| Name | Type | Description |
|---|---|---|
| InMLP | DataModel_MLP | The input MLP |
| 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 |
MLP - Train_FromDataset
Train a new model.
IN
| Name | Type | Description |
|---|---|---|
| InDataset | Dataset | Dataset. |
| InActivationFunction | Enum < ActivationFunction > | Activation function. |
| InNormalizeFeatures | Bool | Whether to normalize input features. |
| InIterationCount | Int | Number of training iterations. A value between 500 and 2000 is suggested. |
| InLearningRate | Float | Learning rate （how much the weights are changed at each step）. 1e-3 is a good value to start from. |
| InMomentum | Float | Value helping the training process by causing the weight updates to continue in the same direction they were already going. It adds a fraction of the previous update to the current update. With 0.1 the new update will be only slightly influenced by the previous one, with 0.9 it will be heavily influenced. |
| InValidationRatio | Float | Validation ratio （0 means no validation）. Range: 〔0,1）. |
| 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 |
|---|---|---|
| OutMLP | DataModel_MLP | Trained model. |
| Error | ErrorState | Gets the execution error message |
MLP - Train_FromFeaturesAndClasses
Train a new model.
IN
| Name | Type | Description |
|---|---|---|
| InFeatures | FloatArrayArray | Features. |
| InClasses | IntArray | Corresponding classes. |
| InNClasses | Int | Number of classes. |
| InActivationFunction | Enum < ActivationFunction > | Activation function. |
| InNormalizeFeatures | Bool | Whether to normalize input features. |
| InIterationCount | Int | Number of training iterations. A value between 500 and 2000 is suggested. |
| InLearningRate | Float | Learning rate （how much the weights are changed at each step）. 1e-3 is a good value to start from. |
| InMomentum | Float | Value helping the training process by causing the weight updates to continue in the same direction they were already going. It adds a fraction of the previous update to the current update. With 0.1 the new update will be only slightly influenced by the previous one, with 0.9 it will be heavily influenced. |
| InValidationRatio | Float | Validation ratio （0 means no validation）. Range: 〔0,1）. |
| 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 |
|---|---|---|
| OutMLP | DataModel_MLP | Trained model. |
| Error | ErrorState | Gets the execution error message |