Available Parameter Sets
| Parameter Set | Used By | Operators |
|---|---|---|
| SklearnAdvancedKNN | 2 | KNN Classifier, KNN Regressor |
| SklearnAdvancedSVC | 1 | SVM Classifier |
| SklearnAdvancedSVR | 1 | SVM Regressor |
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Parameter Reference
Complete reference for machine learning operator parameters
1 - SklearnAdvancedKNN Parameters
Hyperparameters accepted by SklearnAdvancedKNN
Used By
This parameter set is used by the following operators:
Parameters
| Parameter | Type |
|---|---|
| n_neighbors | int |
| p | int |
| weights | str |
| algorithm | str |
| leaf_size | int |
| metric | int |
| metric_params | str |
2 - SklearnAdvancedSVC Parameters
Hyperparameters accepted by SklearnAdvancedSVC
Used By
This parameter set is used by the following operators:
Parameters
| Parameter | Type |
|---|---|
| C | float |
| kernel | str |
| gamma | float |
| degree | int |
| coef0 | float |
| tol | float |
| probability | (lambda value: value.lower() == "true") |
3 - SklearnAdvancedSVR Parameters
Hyperparameters accepted by SklearnAdvancedSVR
Used By
This parameter set is used by the following operators:
Parameters
| Parameter | Type |
|---|---|
| C | float |
| kernel | str |
| gamma | float |
| degree | int |
| coef0 | float |
| tol | float |
| shrinking | (lambda value: value.lower() == "true") |
| verbose | (lambda value: value.lower() == "true") |
| epsilon | float |
| cache_size | int |
| max_iter | int |