nguyenhaidang94

import cvxopt
import numpy as np

from .base import BaseModel


class SVMSoftMargin(BaseModel):

    def __init__(self, C: float):
        self.C = C

nguyenhaidang94

import cvxopt
import numpy as np

from .base import BaseModel


class SVM(BaseModel):

    def __init__(self):
        self._w = None

nguyenhaidang94

import numpy as np


def pinv(x: np.ndarray, singular_threshold: float = 1e-10):
    """
    Pseudo inverse.\n
    Params:
        x: matrix to inverse
        singular_threshold: threshold to remove singularvalues
    """

nguyenhaidang94

import numpy as np

from .base import BaseModel
from .helper import pinv


class LinearRegression(BaseModel):

    def __init__(self):
        self._beta = None