RAMP starting-kit on Purchasing Intention prediction for online shoppers

Authors : Aymane Rahmoune, Haocheng LIU, Ly An CHHAY, Mohammed Jawhar, Nasr El Hamzaoui, Wiam Adnan

Getting started

Install

To run a submission and the notebook you need to install the dependencies listed in requirements.txt. You can do this with the following command-line:

pip install -U -r requirements.txt

If you are using conda, we provide an environment.yml file for similar usage.

Challenge description

Get started with the shopper_intention_starting_kit

Test a submission

The submissions need to be located in the submissions folder. For instance for my_submission, it should be located in submissions/my_submission.

To run a specific submission, you can use the ramp-test command line:

ramp-test --submission my_submission

Important Note

If you encounter an error during the execution of this command, please do the following steps:

• Find out the local environment in which ramp-test is installed using which ramp-test. This will give you something that ends with bin/ramp-test, copy the path before.

• Go to the ramp classifier workflow file, which corresponds to the file at the path obtained by adding /lib/python3.9/site-packages/rampwf/workflows/classifier.py at the end of the path you got just before.

• In this file, replace:

  if prev_trained_model is None:
     clf.fit(X_array[train_is], y_array[train_is])
  else:
     clf.fit(X_array[train_is], y_array[train_is], prev_trained_model)
  return clf

  By:

  import pandas as pd
  if prev_trained_model is None:
     if isinstance(X_array, pd.core.frame.DataFrame):
        clf.fit(X_array.iloc[train_is], y_array[train_is])
     else:
        clf.fit(X_array[train_is], y_array[train_is])
  else:
     if isinstance(X_array, pd.core.frame.DataFrame):
        clf.fit(
            X_array.iloc[train_is],
            y_array[train_is],
            prev_trained_model,
        )
      else:
        clf.fit(
            X_array[train_is], y_array[train_is], prev_trained_model
        )
  return clf

This should solve the problem, allowing the command to run successfully.

You can get more information regarding this command line:

ramp-test --help

To go further

You can find more information regarding ramp-workflow in the dedicated documentation