[FIX] Remove _check_tfr_params from Transformer constructor

doc/changes/latest.inc

@@ -27,6 +27,7 @@ Enhancements
 
 Bugs
 ~~~~
+- Fix bug in :func:`mne.decoding.TimeFrequency` that prevented cloning if constructor arguments were modified (:gh:`11004` by :newcontrib:`Daniel Carlström Schad`)
 - Document ``height`` and ``weight`` keys of  ``subject_info`` entry in :class:`mne.Info` (:gh:`11019` by :newcontrib:`Sena Er`)
 
 API changes

doc/changes/names.inc

@@ -88,6 +88,8 @@
 
 .. _Dan Wakeman: https://github.com/dgwakeman
 
+.. _Daniel Carlström Schad: https://github.com/Dod12
+
 .. _Daniel McCloy: http://dan.mccloy.info
 
 .. _Daniel Strohmeier: https://github.com/joewalter

mne/decoding/tests/test_time_frequency.py

@@ -23,6 +23,11 @@ def test_timefrequency():
         pytest.raises(ValueError, TimeFrequency, freqs, output=output)
     tf = clone(tf)
 
+    # Clone estimator
+    freqs_array = np.array(np.asarray(freqs))
+    tf = TimeFrequency(freqs_array, 100, "morlet", freqs_array / 5.)
+    clone(tf)
+
     # Fit
     n_epochs, n_chans, n_times = 10, 2, 100
     X = np.random.rand(n_epochs, n_chans, n_times)

mne/decoding/time_frequency.py

@@ -5,7 +5,7 @@
 import numpy as np
 from .mixin import TransformerMixin
 from .base import BaseEstimator
-from ..time_frequency.tfr import _compute_tfr, _check_tfr_param
+from ..time_frequency.tfr import _compute_tfr
 from ..utils import fill_doc, _check_option, verbose
 
 
@@ -62,10 +62,12 @@ class TimeFrequency(TransformerMixin, BaseEstimator):
     @verbose
     def __init__(self, freqs, sfreq=1.0, method='morlet', n_cycles=7.0,
                  time_bandwidth=None, use_fft=True, decim=1, output='complex',
-                 n_jobs=None, *, verbose=None):  # noqa: D102
-        freqs, sfreq, _, n_cycles, time_bandwidth, decim = \
-            _check_tfr_param(freqs, sfreq, method, True, n_cycles,
-                             time_bandwidth, use_fft, decim, output)
+                 n_jobs=1, verbose=None):  # noqa: D102
+        """Init TimeFrequency transformer."""
+        # Check non-average output
+        output = _check_option('output', output,
+                               ['complex', 'power', 'phase'])
+
         self.freqs = freqs
         self.sfreq = sfreq
         self.method = method
@@ -74,9 +76,9 @@ def __init__(self, freqs, sfreq=1.0, method='morlet', n_cycles=7.0,
         self.use_fft = use_fft
         self.decim = decim
         # Check that output is not an average metric (e.g. ITC)
-        self.output = _check_option('output', output,
-                                    ['complex', 'power', 'phase'])
+        self.output = output
         self.n_jobs = n_jobs
+        self.verbose = verbose
 
     def fit_transform(self, X, y=None):
         """Time-frequency transform of times series along the last axis.
@@ -137,7 +139,8 @@ def transform(self, X):
         # Compute time-frequency
         Xt = _compute_tfr(X, self.freqs, self.sfreq, self.method,
                           self.n_cycles, True, self.time_bandwidth,
-                          self.use_fft, self.decim, self.output, self.n_jobs)
+                          self.use_fft, self.decim, self.output, self.n_jobs,
+                          self.verbose)
 
         # Back to original shape
         if not shape: