Data analytics using python
...
- Forecast
- Clustering
- Anomaly Detection
- Classification
Example:
import pylytic
df = ...
res = pylytic.process(
df=df,
analytic='forecast',
timeseries_columns=['date'],
# optional kwargs:
n_predictions=6, # num of forecasts to make
model = '<name of model>',
...
)
print(res.error.mae)
print(res.df_pred)
TODO
- Uses build package: pip install build
- Invoke build: python -m build