LEARN MODE // DEEPINFRA QWEN 2.5 GENERATOR
CUSTOM PROMPT PIPELINE ARCHITECT
7-Step Blueprint
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ROADMAP // TITANIC DEFAULT7 STEPS
1
Data Ingestion & Pandas EDA
Load dataset and inspect null distributions.
2
Feature Imputation & Scaling
Handle missing values and encode categorical columns.
3
PyTorch Dataset & DataLoader
Construct TensorDataset with batch_size=32.
4
nn.Module MLP Architecture
Define Multi-Layer Perceptron neural network.
5
Loss Function & Optimizer
Instantiate BCEWithLogitsLoss and Adam optimizer.
6
Training & Backprop Loop
Iterate over epochs with zero_grad() and backward().
7
Inference & Model Export
Evaluate validation accuracy and save model state_dict.