README.md

metadata

language: en
library_name: pytorch
model_name: DataSynthis_ML_JobTask
tags:
  - time-series
  - forecasting
  - lstm
  - tesla
task: time-series-forecasting
license: mit

DataSynthis_ML_JobTask — LSTM (Multivariate)

This repo hosts a PyTorch LSTM with attention for multivariate stock forecasting (OHLCV + technicals).

Included artifacts:

• pytorch_model.bin
• config.json
• training_stats.json
• preprocessing.json

Quick usage:

1. Recreate the LSTM architecture from the notebook and load pytorch_model.bin into it
2. Use config.json for feature list and seq_length
3. Apply scaling with the parameters in preprocessing.json:
   • Transform: X_scaled = X * scale_ + min_
   • Inverse: X = (X_scaled - min_) / scale_