Train and build models for Argo / Kubernetes
Project description
Gordo
Building thousands of models with timeseries data to monitor systems.
Table of content
About
Gordo fulfills the role of inhaling config files and supplying components to the pipeline of:
- Fetching data
- Training model
- Serving model
Examples
See our example notebooks for how to develop with gordo
locally.
Install
pip install --upgrade gordo
With additional extras:
pip install gordo[postgres,mlflow]
Bleeding edge:
pip install git+https://github.com/equinor/gordo.git
Uninstall
pip uninstall gordo
Developer manual
This section will explain how to start development of Gordo.
How to prepare working environment
- Install pip-tools
pip install --upgrade pip
pip install --upgrade pip-tools
- Install requirements
pip install -r requirements/full_requirements.txt
pip install -r requirements/test_requirements.txt
How to update packages
Note: you have to install pip-tools
version higher then 6
for requirements to have same multi-line output format.
To update some package in full_requirements.txt
:
- Change its version in
requirements.in
file; - Compile and upgrade requirements:
pip-compile --upgrade --output-file=full_requirements.txt mlflow_requirements.in postgres_requirements.in requirements.in
How to run tests locally
Tests system requirements
To run tests it's required for your system to has (note: commands might differ from your OS):
- Running docker process;
- Available 5432 port for postgres container
(
postgresql
container is used, so better to stop your local instance for tests running).
Run tests
List of commands to run tests can be found here. Running of tests takes some time, so it's faster to run tests in parallel:
python3 setup.py test
NOTE: this example is for Pycharm IDE to use
breakpoints
in the code of the tests.
On the configuration setup for test running add toAdditional arguments:
inpytest
section following string:--ignore benchmarks --cov-report= --no-cov
or TEMPORARY remove--cov-report=xml
and--cov=gordo
frompytest.ini
file.
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