SQL Call
DROP IF TABLE EXISTS densesvm_iris_polynomial_model;
SELECT * FROM SVMDense (
ON svm_iris_train AS InputTable
OUT TABLE ModelTable (densesvm_iris_polynomial_model)
USING
IDColumn ('id')
InputColumns ('[1:4]')
ResponseColumn ('species')
Cost (1)
Bias (0)
KernelFunction ('polynomial')
Gamma (0.1)
HashBits (512)
Degree (2)
SubspaceDimension (120)
MaxStep (100)
Seed (1)
) AS dt;
Output
| message |
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Model table is created successfully The model is trained with 120 samples and 512 unique attributes with hash projection There are 3 different classes in the training set The model is not converged after 100 steps with epsilon 0.01, the average value of the loss function for the training set is 12981.195818669565 The corresponding training parameters are cost:1.0 bias:0.0 |