From 2b7b123af524ef63131b7e31f37e49099d47e46d Mon Sep 17 00:00:00 2001 From: BalzaniEdoardo Date: Tue, 3 Dec 2024 11:13:41 -0500 Subject: [PATCH] removed args from docstrings --- src/nemos/basis/_decaying_exponential.py | 4 ---- src/nemos/basis/_raised_cosine_basis.py | 6 ------ 2 files changed, 10 deletions(-) diff --git a/src/nemos/basis/_decaying_exponential.py b/src/nemos/basis/_decaying_exponential.py index 0a6f5003..15202e6d 100644 --- a/src/nemos/basis/_decaying_exponential.py +++ b/src/nemos/basis/_decaying_exponential.py @@ -34,10 +34,6 @@ class OrthExponentialBasis(Basis, abc.ABC): mode : The mode of operation. ``'eval'`` for evaluation at sample points, ``'conv'`` for convolutional operation. - bounds : - The bounds for the basis domain in ``mode="eval"``. The default ``bounds[0]`` and ``bounds[1]`` are the - minimum and the maximum of the samples provided when evaluating the basis. - If a sample is outside the bounds, the basis will return NaN. label : The label of the basis, intended to be descriptive of the task variable being processed. For example: velocity, position, spike_counts. diff --git a/src/nemos/basis/_raised_cosine_basis.py b/src/nemos/basis/_raised_cosine_basis.py index 6570d346..bf7bda95 100644 --- a/src/nemos/basis/_raised_cosine_basis.py +++ b/src/nemos/basis/_raised_cosine_basis.py @@ -217,12 +217,6 @@ class RaisedCosineBasisLog(RaisedCosineBasisLinear, abc.ABC): If set to True, the algorithm first constructs a basis with ``n_basis_funcs + ceil(width)`` elements and subsequently trims off the extra basis elements. This ensures that the final basis element decays to 0. - window_size : - The window size for convolution. Required if mode is 'conv'. - bounds : - The bounds for the basis domain in ``mode="eval"``. The default ``bounds[0]`` and ``bounds[1]`` are the - minimum and the maximum of the samples provided when evaluating the basis. - If a sample is outside the bounds, the basis will return NaN. label : The label of the basis, intended to be descriptive of the task variable being processed. For example: velocity, position, spike_counts.