Linear Regression with Tensorflow Example

Creating the Conda Environment

conda env create -f conda.yaml

Activating the Conda Environment

conda activate fishlength

Running the Example

The run.py python file is the training script.

The run.py scripts needs two parameters

e.g.

python run.py 1000 0.001

• 1000 is the amount of steps to train
• 0.001 is the learning rate for the GradientDescentOptimizer

Check the learning rate in the MLFlow

Start the MLFlow server with:

mlflow server

In the overview click select the experiment that you want to check.

In the metrics section click on the loos link.

You should see something like this:

Now you can play with the amount of steps and learning rate. :-)