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SMLP-037 Improve readme #38

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Mar 20, 2023
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SMLP-037 Improve readme #38

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17 changes: 14 additions & 3 deletions README.md
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Expand Up @@ -53,23 +53,34 @@ Also, you can stop all services:
docker-compose stop
```

2. When dockerized storage is running, collect data for time series:
2. When dockerized storage is running, you can run all ml pipeline:
```bash
./pipeline.sh
```

Or, you can run each pipeline step separately:

2.1. Collect data for time series:
```bash
python data_creation.py
```

3. After data collected, prepare `y` values:
2.2. After data collected, prepare `y` values:
```bash
python model_preprocessing.py
```

4. After `y` value ready, prepare model:
2.3. After `y` value ready, prepare model:
```bash
python model_preparation.py
```
At the end of this step you can see the chart, like this:
![chart wit predictions](./docs/assets/forecasting_results.png)

2.4. After model prepared, test it:
```bash
python model_testing.py
```

## Continious Integration

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