From 9090ecb849e45a2a54f5386c8ae00964dcf0d454 Mon Sep 17 00:00:00 2001 From: Brian Pondi Date: Tue, 17 Oct 2023 12:05:13 +0200 Subject: [PATCH] update params --- proposals/ml_fit_class_svm.json | 11 +++++------ 1 file changed, 5 insertions(+), 6 deletions(-) diff --git a/proposals/ml_fit_class_svm.json b/proposals/ml_fit_class_svm.json index 60ce132e..64437b5a 100644 --- a/proposals/ml_fit_class_svm.json +++ b/proposals/ml_fit_class_svm.json @@ -1,7 +1,7 @@ { "id": "ml_fit_class_svm", "summary": "Train a Support Vector Machine classification model", - "description": "Executes the training of a Support Vector Machine classification model based on the provided training data. The Support Vector Machine classification model is a supervised machine learning algorithm used for binary and multi-class classification tasks.", + "description": "Executes the training of a Support Vector Machine classification model based on the provided training data. It is used for binary and multi-class classification tasks.", "categories": [ "machine learning" ], @@ -46,17 +46,16 @@ "description": "Regularization parameter. It controls the trade-off between achieving a low training error and a low testing error. A smaller value will make the decision boundary smoother, while a larger value will allow the model to fit the training data more closely.", "schema": { "type": "number", - "minimum": 0.0 + "minimum": 0 } }, { "name": "gamma", "description": "Kernel coefficient for 'rbf', 'poly', and 'sigmoid'. A small value means a more flexible decision boundary, while a larger value means a more rigid boundary.", "optional": true, - "default": "auto", "schema": { - "type": ["number", "string"], - "minimum": 0.0 + "type": "number", + "minimum": 0 } }, { @@ -73,7 +72,7 @@ "name": "coef0", "description": "Independent term in the 'poly' and 'sigmoid' kernel functions. Only used for 'poly' and 'sigmoid' kernels.", "optional": true, - "default": 0.0, + "default": 0, "schema": { "type": "number" }