Errors: dimensionality_reduction (sequential, rfe and lda)

[lcscs12345]

Hi,

I find protlearn very handy in extracting protein sequence features. All functions of dimensionality_reduction work except for sequential, rfe and lda. I hope you will be able to reproduce the errors using the examples in the documentation (https://protlearn.readthedocs.io/en/latest/dimensionality_reduction.html).

Both sequential and rfe produce the same error.

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-19-9d14144907fa> in <module>
      1 rf = RandomForestClassifier()
----> 2 reduced, _ = rfe(features, labels, rf, n_features=10, step=5)
      3 reduced.shape

TypeError: rfe() takes 2 positional arguments but 3 positional arguments (and 2 keyword-only arguments) were given

For lda

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-16-719b2dba39a5> in <module>
----> 1 reduced = lda(features, labels, n_components=1)
      2 reduced.shape

TypeError: 'module' object is not callable

Versions
Python 3.7.6, protlearn 2.1, sklearn 0.23.1, numpy 1.19.5

Many thanks,
CS Lim