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Update theta's type in docstrings #31

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6 changes: 3 additions & 3 deletions keras_lmu/layers.py
Original file line number Diff line number Diff line change
Expand Up @@ -28,7 +28,7 @@ class to create a recurrent Keras layer to process the whole sequence. Calling
The number of degrees in the transfer function of the LTI system used to
represent the sliding window of history. This parameter sets the number of
Legendre polynomials used to orthogonally represent the sliding window.
theta : int
theta : float
The number of timesteps in the sliding window that is represented using the
LTI system. In this context, the sliding window represents a dynamic range of
data, of fixed size, that will be used to predict the value at the next time
Expand Down Expand Up @@ -308,7 +308,7 @@ class LMU(tf.keras.layers.Layer):
The number of degrees in the transfer function of the LTI system used to
represent the sliding window of history. This parameter sets the number of
Legendre polynomials used to orthogonally represent the sliding window.
theta : int
theta : float
The number of timesteps in the sliding window that is represented using the
LTI system. In this context, the sliding window represents a dynamic range of
data, of fixed size, that will be used to predict the value at the next time
Expand Down Expand Up @@ -493,7 +493,7 @@ class LMUFFT(tf.keras.layers.Layer):
The number of degrees in the transfer function of the LTI system used to
represent the sliding window of history. This parameter sets the number of
Legendre polynomials used to orthogonally represent the sliding window.
theta : int
theta : float
The number of timesteps in the sliding window that is represented using the
LTI system. In this context, the sliding window represents a dynamic range of
data, of fixed size, that will be used to predict the value at the next time
Expand Down