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Logistic Regression
Solver for Logistic regression problems.
Inputs
| Name | ID | Description | Type |
|---|---|---|---|
| Test Data | Test | Data to test against training data. | Number |
| Training Inputs | Inputs | The list of training inputs. | Number |
| Training Output | Output | The list of training outputs. | Boolean |
| Tolerance | Tol | Tolerance value to use to determine of the algorithm has converged. | Number |
| Maximum Iterations | MaxIter | Maximum number of iterations performed by the algorithm | Integer |
| Regularization Value | Regular | Regularization value to be added to the objective function. | Number |
| Random Seed | seed | Random seed for the learning algorithm | Integer |
Outputs
| Name | ID | Description | Type |
|---|---|---|---|
| Result | Result | Resultant prediction | Generic Data |
| Score | Score | The predicted scores | Generic Data |
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