This repository contains fishing scoring heuristics and evaluation of their effectiveness, as well as development of supervised-ML scoring algorithms.
Training data for this project is too big to store in this repository. It will be licensed separately here: https://github.com/GlobalFishingWatch/training-data
You do not need the training data to use the prediction models as the trained model parameters are stored in the repository.
It also contains some tools to deal with the data formats of some of our partners:
- Kristinas CSV-based format
- Alex' and Chris' fishing-hour sidecar format
import vessel_scoring.models models = vessel_scoring.models.load_models() is_fishing = models['Logistic'].predict_proba(track_points)[:,1]
Copyright 2016 SkyTruth
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.