https://www.machinelearningplus.com/deployment/conda-create-environment-and-everything-you-need-to-know-to-manage-conda-virtual-environment/

Step1: Create Conda environment

conda create --name {env_name} python==3.9 conda create --name digits python==3.9

Step2: Activate the environment

conda activate {env_name} conda activate digits

Step3: Create requirements.txt file

pip install -r requirements.txt

Step4: Run the python file

python plot_digits_classification.py

Step4:

Step5:

Step6:

Two places of randomness

1. Create the split
   • Freezing the data, In this code the dataset is frozen because line 67 shuffel=False
2. Data order (Learning is iterative)
3. Model:
   • weight initialization

Setup Flask

export FLASK_APP=api/app flask run