cgarciae/clearml-demo

ClearML Demo

A small demo of ClearML modelling the titanic dataset using scikit-learn and Keras.

Setup

To begin install the project requirements:

pip

pip install -r requirements.txt

poetry

poetry install
poetry shell

ClearML

To setup clearml, run the following command:

clearml login

If you are running a custom server manually override your ~/clearml.conf with the proper credentials. To create new credentials go to:

Settings / Workspaces / App Credentials

and click on Create new credentials, copy the credentials and paste them in your ~/clearml.conf.

Usage

To run the demo execute the following command:

python main.py

You can use the following options to configure the experiment:

Options:
  --project-name TEXT             Name of the project  [default: titanic-demo]
  --train-size FLOAT              Size of the training set  [default: 0.9]
  --epochs INTEGER                Number of epochs  [default: 100]
  --batch-size INTEGER            Batch size  [default: 32]
  --n-layer INTEGER               Number of layers  [default: 2]
  --n-units INTEGER               Number of units  [default: 32]