This is an open solution to the Avito Demand Prediction Challenge.
Check collection of public projects :gift:, where you can find multiple Kaggle competitions with code, experiments and outputs.
Create (entirely) open solution to this competition. We are opening not only the code, but also the process of creating it. Rules are simple:
In this open source solution you will find references to the neptune.ml. It is free platform for community Users, which we use daily to keep track of our experiments. Please note that using neptune.ml is not necessary to proceed with this solution. You may run it as plain Python script :wink:.
git clone https://github.com/minerva-ml/open-solution-avito-demand-prediction.git
neptune.yaml
configuration file with your data filepaths$ neptune login
$ neptune experiment run --config neptune.yaml main.py -- train_evaluate_predict --pipeline_name main
collect submit from /output/solution-1
directory.
$ python main.py -- train_evaluate_predict --pipeline_name main
collect submit from experiment_dir
directory that was specified in neptune.yaml
You are welcome to contribute your code and ideas to this open solution. To get started:
There are several ways to seek help: