Scipy (scikit-learn 4 JVM 0.0.4 API)

java.lang.Object
- ai.sklearn4j.core.libraries.Scipy

```
public class Scipy
extends Object
```
Function of the scipy library that was used in scikit-learn.

Nested Class Summary

Nested Classes
Modifier and Type Class Description

static class Scipy.NormalDistribution
Utility functions in scipy related to normal distributions.

Constructor Summary

Constructors
Constructor Description

Scipy()

Method Summary

All Methods Static Methods Concrete Methods
Modifier and Type	Method	Description
`static NumpyArray<Double>`	`logSumExponent(NumpyArray<Double> data, int axis)`	Compute the log of the sum of exponentials of input elements.

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

- Constructor Detail
  - Scipy
```
public Scipy()
```
- Method Detail
  - logSumExponent
```
public static NumpyArray<Double> logSumExponent(NumpyArray<Double> data,
                                                int axis)
```
    Compute the log of the sum of exponentials of input elements. See https://docs.scipy.org/doc/scipy/reference/generated/scipy.special.logsumexp.html
    
    Parameters:
    
    data - Input array to apply the calculations on.
    
    axis - The axis used by sum for reduction.
    
    Returns:
    
    The result, np.log(np.sum(np.exp(a))) calculated in a numerically more stable way.