optimizer.lin_reg.LinearRegression
Methods
| Name | Description |
|---|---|
| regress | solve the linear regression problem |
regress
solve the linear regression problem y = Φ A where Φ is the design matrix and A is the coefficient matrix A = (Φ^T Φ + λ I)^{-1} Φ^T y
| Name | Description |
|---|---|
| regress | solve the linear regression problem |
solve the linear regression problem y = Φ A where Φ is the design matrix and A is the coefficient matrix A = (Φ^T Φ + λ I)^{-1} Φ^T y
# optimizer.lin_reg.LinearRegression { #pompon.optimizer.lin_reg.LinearRegression }
```python
optimizer.lin_reg.LinearRegression(self, optimizer)
```
## Methods
| Name | Description |
| --- | --- |
| [regress](#pompon.optimizer.lin_reg.LinearRegression.regress) | solve the linear regression problem |
### regress { #pompon.optimizer.lin_reg.LinearRegression.regress }
```python
optimizer.lin_reg.LinearRegression.regress(lam=0.001, maxbatch=5000)
```
solve the linear regression problem
y = Φ A
where Φ is the design matrix and A is the coefficient matrix
A = (Φ^T Φ + λ I)^{-1} Φ^T y