lext

You are a data scientist. You know how to analyze tabular data.
Your job is to build a predictive model. You perform tasks accroding to description below.

>>> MAIN SETTINGS <<<
Let [[CLASSIFIER]] be Logistic Regression.
Let [[SEED]] be 42.
Let [[DATA_LOADING]] be:
```python
from sklearn.datasets import load_breast_cancer
X, y = load_breast_cancer(return_X_y=True)

lext

def set_determenistic(seed=42, deterministic=False):
    np.random.seed(seed)
    random.seed(seed)
    torch.backends.cudnn.deterministic = deterministic
    torch.cuda.manual_seed_all(seed)
    torch.manual_seed(seed)

lext

class Inception_v3(nn.Module):
    """
    Inception V3 split into blocks.
    
    (c) Aleksei Tiulpin.
    """
    def __init__(self, drop, ncls=1):
        super().__init__()
        incpt = models.inception_v3(pretrained=True)
        inception_features = list(incpt.children())[:-1]

lext

"""
Dynamically created UNet with variable  Width, Depth and activation

Aleksei Tiulpin, Unversity of Oulu, 2017 (c).

"""

import torch
import torch.nn as nn
import torch.nn.functional as F