es_class_nn.py

import torch
import torch.nn as nn
import pandas as pd
import numpy as np

DROPOUTX = 0.10

class SimplePlusNN2(nn.Module):
    def __init__(self, input_size, num_classes):
        super(SimplePlusNN2, self).__init__()
        self.fc1 = nn.Linear(input_size, 128)
        self.relu = nn.ReLU()
        self.fc2 = nn.Linear(128, 32)
        self.relu = nn.ReLU()
        self.fc3 = nn.Linear(32, 1)
        self.dropout = nn.Dropout(DROPOUTX)
        self.sigmoid = nn.Sigmoid()

    def forward(self, x):
        x = self.relu(self.fc1(x))
        x = self.relu(self.fc2(x))
        x = self.dropout(x)
        x = self.sigmoid(self.fc3(x))
        return x