# rusvm
A Python interface to [rusvm](https://github.com/wotzlaff/rusvm).
## Installation
```
pip install rusvm
```
## Example
See [simple.py](./examples/simple.py).
```py
import rusvm
import numpy as np
import matplotlib.pyplot as plt
# generate sample dataset
n = 20
np.random.seed(42)
x = np.random.rand(n)
y = np.sin(2.0 * np.pi * x)
# define parameters for training problem
# regularization parameter
lmbda = 1.0
# scaling parameter
gamma = 10.0
# solve training problem
res = rusvm.solve_smo(
x=np.sqrt(gamma) * x[:, None],
y=y,
params_problem=dict(
lmbda=lmbda,
kind='regression',
),
params_smo=dict(
time_limit=1.0,
)
)
print(res['opt_status'])
a = np.array(res['a']) / lmbda
a = a[:n] + a[n:]
# generate reference points
xplot = np.linspace(0.0, 1.0, 100)
# evaluate decision function at reference points
k = np.exp(-gamma * (xplot[:, None] - x[None, :]) ** 2)
yplot = k.dot(a) + res['b']
# plot training points and decision function
plt.plot(x, y, 'kx')
plt.plot(xplot, yplot, 'r')
```
## Build
```
maturin develop --release
```
Raw data
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