simple 2 variable linear regresyon

[alikara345]

sklearn

trk linear regresyon

[alikara345]

`import ivy import numpy as np import pandas import pandas as pd import torch from sklearn.model_selection import train_test_split from sklearn.datasets import fetch_california_housing

def fllineerr(x):

ivy.set.backend("Torc")

data = pd.read_csv("data")
X, y = data.data, data.target

X_train, X_test, y_train, y_test = train_test_split(X, y, train_size=0.7, shuffle=True)

# Convert to 2D PyTorch tensors
X_train = torch.tensor(X_train, dtype=torch.float32)
y_train = torch.tensor(y_train, dtype=torch.float32).reshape(-1, 1)
X_test = torch.tensor(X_test, dtype=torch.float32)
y_test = torch.tensor(y_test, dtype=torch.float32).reshape(-1, 1)

`