UDAVA

Unsupervised learning for DAta VAlidation.

Installation

Developed using Python3.8. You can install the required modules by creating a virtual environment and install the requirements.txt-file (run these commands from the main folder):

mkdir venv
python3 -m venv venv
source venv/bin/activate
pip3 install -r requirements.txt

Udava as a Service

Start the server by running:

python3 src/api.py

Parameters

• featurize
  • dataset
  • window_size
  • overlap
  • timestamp_column
  • columns
• cluster
  • learning_method
  • n_clusters
  • max_iter
  • use_predefined_centroids
  • fix_predefined_centroids
  • annotations_dir
  • min_segment_length: A segment is defined as a section of the time series that has an uninterrupted sequence of data points with the same cluster label. This parameter defines the minimum length such a sequence should have. If a segment is shorter than this length, the data points will be reassigned to another cluster.
• evaluate