model.py

"""
AIFinder Neural Network
Single-headed MLP: predicts provider only.
"""

import torch
import torch.nn as nn


class AIFinderNet(nn.Module):
    """Single-headed classifier: predicts provider only."""

    def __init__(
        self,
        input_dim,
        num_providers,
        hidden_dim=1024,
        embed_dim=256,
        dropout=0.3,
    ):
        super().__init__()
        self.backbone = nn.Sequential(
            nn.Linear(input_dim, hidden_dim),
            nn.BatchNorm1d(hidden_dim),
            nn.ReLU(),
            nn.Dropout(dropout),
            nn.Linear(hidden_dim, embed_dim),
            nn.BatchNorm1d(embed_dim),
            nn.ReLU(),
            nn.Dropout(dropout),
        )
        self.provider_head = nn.Linear(embed_dim, num_providers)

    def forward(self, x):
        h = self.backbone(x)
        provider_logits = self.provider_head(h)
        return provider_logits