ExtMath (scikit-learn 4 JVM 0.0.4 API)

java.lang.Object
- ai.sklearn4j.utils.ExtMath

```
public class ExtMath
extends Object
```
Helper class that implements scikit-learn functionalities in utils/extmath.py.

Constructor Summary

Constructors
Constructor Description

ExtMath()

Method Summary

All Methods Static Methods Concrete Methods
Modifier and Type	Method	Description
`static NumpyArray<Double>`	`dot(NumpyArray<Double> v1, NumpyArray<Double> v2)`	Dot product of the NumpyArray.
`static NumpyArray<Double>`	`rowNorm(NumpyArray<Double> x)`	Row-wise (squared) Euclidean norm of X.
`static NumpyArray<Double>`	`rowNorm(NumpyArray<Double> x, boolean squared)`	Row-wise (squared) Euclidean norm of X.

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Constructor Detail
  - ExtMath
```
public ExtMath()
```
- Method Detail
  - dot
```
public static NumpyArray<Double> dot(NumpyArray<Double> v1,
                                     NumpyArray<Double> v2)
```
    Dot product of the NumpyArray.
    
    Parameters:
    
    v1 - Left-hand side of the expression.
    
    v2 - Right-hand side of the expression.
    
    Returns:
    
    The dot product of the two numpy array.
  - rowNorm
```
public static NumpyArray<Double> rowNorm(NumpyArray<Double> x)
```
    Row-wise (squared) Euclidean norm of X. Equivalent to np.sqrt((X * X).sum(axis=1))
    
    Parameters:
    
    x - The input array.
    
    Returns:
    
    The row-wise (squared) Euclidean norm of x.
  - rowNorm
```
public static NumpyArray<Double> rowNorm(NumpyArray<Double> x,
                                         boolean squared)
```
    Row-wise (squared) Euclidean norm of X. Equivalent to np.sqrt((X * X).sum(axis=1))
    
    Parameters:
    
    x - The input array.
    
    squared - If True, return squared norms.
    
    Returns:
    
    The row-wise (squared) Euclidean norm of x.