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How to install tsbenchmark via python pip




tsbenchmark - A benchmarking framework for time series, it belongs to Classifiers:

- Intended Audience :: Education
- Intended Audience :: Science/Research
- Topic :: Scientific/Engineering
- Topic :: Scientific/Engineering :: Artificial Intelligence

When you know about this project and you want to new install tsbenchmark to support your project or you get trouble as ModuleNotFoundError: No module named "tsbenchmark" or ImportError: cannot import name "tsbenchmark" in your project, let follow this tutorial to install tsbenchmark



Installation:

Step 1: First, ensure you installed pip in your os, to check pip has been installed on your computer

In Windows (CMD):

py -m pip --version

In Unix/macOS:

python3 -m pip --version

Ensure pip, setuptools, and wheel are up to date:

In Windows (CMD):

py -m pip install --upgrade pip setuptools wheel

In Unix/macOS:

python3 -m pip install --upgrade pip setuptools wheel


Optional - If you want to install in virtual environment:

In Windows (CMD):

- Install virtualenv - if you installed it, please ignore

py -m pip install --user virtualenv

- Create a virtual environment

py -m venv test_tsbenchmark_env

- Active the virtual environment

test_tsbenchmark_env\Scripts\active

In Unix/macOS:

- Install virtualenv - if you installed it, please ignore

pip3 install virtualenv

- Create a virtual environment

python3 -m venv test_tsbenchmark_env

- Active the virtual environment

source test_tsbenchmark_env/bin/active


Step 2: OK, now, let flow below content to start the installation tsbenchmark

To install tsbenchmark on Windows(CMD):

py -m pip install tsbenchmark

To install tsbenchmark on Unix/macOs:

pip install tsbenchmark


Step 3: If you want to install a specific tsbenchmark version, add ==<tsbenchmark version> to the end command line

Example:

pip install tsbenchmark==0.1.0


Please see the version list below table:

VersionReleased dateCommand
tsbenchmark 0.1.02022-05-31T09:04:18Windows:

py -m pip install tsbenchmark==0.1.0

Unix/macOs:

pip install tsbenchmark==0.1.0


Step 4: Otherwise, you can install tsbenchmark from local archives:

Download the distribution file from tsbenchmark-0.1.0.tar.gz or the specific tsbenchmark version in the below list of distribution

After that, install by command:

On Windows(CMD):

py -m pip install <path_to_tsbenchmark_downloaded_file>

On Unix/macOs:

pip install <path_to_tsbenchmark_downloaded_file>


List distribution:


Project link: