Receiving strange TypeError

[finbarrtimbers]

I have the following code:

df = pd.read_csv('data.csv', header=0, engine='c')
mat = df.as_matrix()
X = mat[:, 1:]
X_train, X_test = train_test_split(X, test_size = 0.2)
variance = forestci.random_forest_error(model, X_train, X_test)

When I run it, it throws the error TypeError: random_forest_error() takes exactly 4 arguments (3 given).

However, there are only three non-optional arguments listed in the documentation.
If I add a fourth argument for inbag, I then get an error saying that inbag is defined twice. Any ideas of what's causing this? I'm happy to write a PR if you point me towards the cause.

[arokem]

Thanks for reporting!

How did you install forestci? We did change the API in #37, so if you installed from pip, you might want to use the examples as they were before that change (e.g., here: https://github.com/scikit-learn-contrib/forest-confidence-interval/tree/03e9c146eeb7a857764a070ac9ca21f93a137a7e/examples).

We will also make a new release soon, so that pip installations match the documentation, but we're still also working through some other issues, so it might take us a little bit longer.

[finbarrtimbers]

Thanks, that was it. It seems to work now (my machine is killing the process because it takes too much memory, but that's my problem).

[arokem]

Might also be related to this PR #39

[finbarrtimbers]

Thanks, I'll check that out.