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How to install tid-logistic-regression-model via python pip




tid-logistic-regression-model - Logistic regression model to classify sports news headline, it belongs to Classifiers:

- Programming Language :: Python :: Implementation :: CPython
- Programming Language :: Python :: Implementation :: PyPy

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



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_tid-logistic-regression-model_env

- Active the virtual environment

test_tid-logistic-regression-model_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_tid-logistic-regression-model_env

- Active the virtual environment

source test_tid-logistic-regression-model_env/bin/active


Step 2: OK, now, let flow below content to start the installation tid-logistic-regression-model

To install tid-logistic-regression-model on Windows(CMD):

py -m pip install tid-logistic-regression-model

To install tid-logistic-regression-model on Unix/macOs:

pip install tid-logistic-regression-model


Step 3: If you want to install a specific tid-logistic-regression-model version, add ==<tid-logistic-regression-model version> to the end command line

Example:

pip install tid-logistic-regression-model==1.0.9


Please see the version list below table:

VersionReleased dateCommand
tid-logistic-regression-model 1.0.102021-09-24T21:19:13Windows:

py -m pip install tid-logistic-regression-model==1.0.10

Unix/macOs:

pip install tid-logistic-regression-model==1.0.10

tid-logistic-regression-model 1.0.92021-09-24T20:22:42Windows:

py -m pip install tid-logistic-regression-model==1.0.9

Unix/macOs:

pip install tid-logistic-regression-model==1.0.9


Step 4: Otherwise, you can install tid-logistic-regression-model from local archives:

Download the distribution file from tid-logistic-regression-model-1.0.10.tar.gz or the specific tid-logistic-regression-model version in the below list of distribution

After that, install by command:

On Windows(CMD):

py -m pip install <path_to_tid-logistic-regression-model_downloaded_file>

On Unix/macOs:

pip install <path_to_tid-logistic-regression-model_downloaded_file>


List distribution:


Project link:

- Homepage