Download the data files,
and put them to into the data folder.
To run a submission and the notebook you will need the dependencies listed
in requirements.txt. You can install the dependencies with the
following command-line:
pip install -U -r requirements.txtIt is recommended to create a new virtual environement for this project. For instance, with conda,
conda create -n bikes-ramp python=3.9
conda activate bikes-ramp
pip install -r requirements.txtGet started on this RAMP with the dedicated notebook.
First install Jupyter:
pip install jupyterthen launch the notebook using:
jupyter notebook ./bike_counters_starting_kit.ipynbThe 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_submissionFor instance, you can run the provided starting_kit submission example with:
ramp-test --submission starting_kitYou should get an output similar to the following one:
Example output
Testing Bike count prediction
Reading train and test files from ./data/ ...
Reading cv ...
Training submissions/starting_kit ...
CV fold 0
score rmse time
train 0.610 0.084952
valid 0.983 0.408040
test 0.703 0.033141
CV fold 1
score rmse time
train 0.663 0.106090
valid 0.852 0.399937
test 0.759 0.032243
CV fold 2
score rmse time
train 0.682 0.170388
valid 0.891 0.324898
test 0.771 0.025760
CV fold 3
score rmse time
train 0.705 0.208704
valid 0.844 0.324345
test 0.875 0.024143
CV fold 4
score rmse time
train 0.728 0.233596
valid 0.804 0.319224
test 0.872 0.024262
CV fold 5
score rmse time
train 0.737 0.280230
valid 0.939 0.320182
test 0.863 0.024391
CV fold 6
score rmse time
train 0.763 0.327653
valid 1.131 0.316819
test 0.843 0.025528
CV fold 7
score rmse time
train 0.793 0.376762
valid 0.896 0.324821
test 0.767 0.024473
----------------------------
Mean CV scores
----------------------------
score rmse time
train 0.71 +- 0.0546 0.2 +- 0.1
valid 0.917 +- 0.0962 0.3 +- 0.04
test 0.807 +- 0.0607 0.0 +- 0.0
----------------------------
Bagged scores
----------------------------
score rmse
valid 0.923
test 0.765
You can get more information regarding this command line:
ramp-test --helpYou can find more information regarding ramp-workflow in the
dedicated documentation
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