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Fix/deps #30

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May 14, 2021
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4 changes: 2 additions & 2 deletions README.md
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Expand Up @@ -9,8 +9,8 @@
Pytorch implementation of the ES-RNN algorithm proposed by Smyl, winning submission of the M4 Forecasting Competition. The class wraps fit and predict methods to facilitate interaction with Machine Learning pipelines along with evaluation and data wrangling utility. Developed by [Autonlab](https://www.autonlab.org/)’s members at Carnegie Mellon University.

## Installation Prerequisites
* numpy==1.16.1
* pandas==0.25.2
* numpy>=1.16.1
* pandas>=0.25.2
* pytorch>=1.3.1

## Installation
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4 changes: 2 additions & 2 deletions requirements.txt
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@@ -1,3 +1,3 @@
numpy==1.16.1
pandas==0.25.2
numpy>=1.16.1
pandas>=0.25.2
torch>=1.3.1
6 changes: 3 additions & 3 deletions setup.py
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Expand Up @@ -5,7 +5,7 @@

setuptools.setup(
name="ESRNN",
version="0.1.2",
version="0.1.3",
author="Kin Gutierrez, Cristian Challu, Federico Garza",
author_email="[email protected], [email protected], [email protected]",
description="Pytorch implementation of the ESRNN",
Expand All @@ -20,8 +20,8 @@
],
python_requires='>=3.6',
install_requires =[
"numpy==1.16.1",
"pandas==0.25.2",
"numpy>=1.16.1",
"pandas>=0.25.2",
"torch>=1.3.1"
],
entry_points='''
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