I can't run the example from the readme.

[supercargotim-rgb]

I would be very grateful for your help, Import does not work even though the package is installed locally:

C:\Users\Cargo\AppData\Local\Programs\Python\Python313\python.exe C:\Users\Cargo\Desktop\stock\forecast_price.py
Traceback (most recent call last):
File "C:\Users\Cargo\Desktop\stock\forecast_price.py", line 9, in
from chronos import BaseChronosPipeline, Chronos2Pipeline
ImportError: cannot import name 'BaseChronosPipeline' from 'chronos' (C:\Users\Cargo\AppData\Local\Programs\Python\Python313\Lib\site-packages\chronos_init_.py)

example code: https://github.com/amazon-science/chronos-forecasting?tab=readme-ov-file#-usage

import pandas as pd # requires: pip install 'pandas[pyarrow]'
from chronos import Chronos2Pipeline

pipeline = Chronos2Pipeline.from_pretrained("amazon/chronos-2", device_map="cuda")

Load historical target values and past values of covariates

context_df = pd.read_parquet("https://autogluon.s3.amazonaws.com/datasets/timeseries/electricity_price/train.parquet")

(Optional) Load future values of covariates

test_df = pd.read_parquet("https://autogluon.s3.amazonaws.com/datasets/timeseries/electricity_price/test.parquet")
future_df = test_df.drop(columns="target")

Generate predictions with covariates

pred_df = pipeline.predict_df(
context_df,
future_df=future_df,
prediction_length=24, # Number of steps to forecast
quantile_levels=[0.1, 0.5, 0.9], # Quantile for probabilistic forecast
id_column="id", # Column identifying different time series
timestamp_column="timestamp", # Column with datetime information
target="target", # Column(s) with time series values to predict
)

[abdulfatir]

Can you check which version of the package is installed in your local environment? For example, using pip freeze.

[supercargotim-rgb]

chronos==0.3
chronos-forecasting==2.0.0
chronos_forecaster==0.2.0

[abdulfatir]

You have conflicting packages installed. Please create a new environment and only install chronos-forecasting.

[supercargotim-rgb]

1. cd /path/to/your/project
2. python -m venv my_env
3. my_env\Scripts\activate
4. pip install chronos-forecasting
   all packets install - ok!

error:
C:\Users\Cargo\AppData\Local\Programs\Python\Python313\python.exe C:\Users\Cargo\Desktop\chronos\my_env\test.py
Traceback (most recent call last):
File "C:\Users\Cargo\Desktop\chronos\my_env\test.py", line 2, in
from chronos import Chronos2Pipeline
ImportError: cannot import name 'Chronos2Pipeline' from 'chronos' (C:\Users\Cargo\AppData\Local\Programs\Python\Python313\Lib\site-packages\chronos_init_.py)

version python 3.13...

[supercargotim-rgb]

incompatibility with newer versions of Python?

[abdulfatir]

Chronos is compatible with newer versions of python. Based on the lag you shared above, I subset that your script is still running with the older environment. Create a fresh env and try. Alternatively, you can try this notebook on Sagemaker Studio or Colab: https://github.com/amazon-science/chronos-forecasting/blob/main/notebooks/chronos-2-quickstart.ipynb