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ML-For-Beginners/7-TimeSeries/2-ARIMA/working/common/environment.yaml

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# To create the conda environment:
# $ conda env create -f environment.yaml
#
# To update the conda environment:
# $ conda env update -f environment.yaml
#
# To register the conda environment in Jupyter:
# $ conda activate dlts
# $ python -m ipykernel install --user --name dlts --display-name "Python (dlts)"
name: dlts
channels:
- defaults
dependencies:
- python==3.6.6
- pip>=19.1.1
- ipykernel>=4.6.1
- jupyter>=1.0.0
- matplotlib==3.0.0
- numpy==1.16.2
- pandas==0.23.4
- tensorflow==1.12.0
- keras==2.2.4
- scikit-learn==0.20.3
- statsmodels==0.9.0
- xlrd >= 1.0.0
- pip:
- pyramid-arima==0.8.1