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[DOC] Converging towards numpy doc standards V2 - issue #1540 #1863

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Aug 1, 2024
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8 changes: 4 additions & 4 deletions aeon/forecasting/tests/test_all_forecasters.py
Original file line number Diff line number Diff line change
Expand Up @@ -310,8 +310,8 @@ def test_predict_interval(
):
"""Check prediction intervals returned by predict.

Arguments
---------
Parameters
----------
Forecaster: BaseEstimator class descendant, forecaster to test
fh: ForecastingHorizon, fh at which to test prediction
coverage: float, coverage at which to make prediction intervals
Expand Down Expand Up @@ -375,8 +375,8 @@ def _check_predict_quantiles(
def test_predict_quantiles(self, estimator_instance, n_columns, fh_int_oos, alpha):
"""Check prediction quantiles returned by predict.

Arguments
---------
Parameters
----------
Forecaster: BaseEstimator class descendant, forecaster to test
fh: ForecastingHorizon, fh at which to test prediction
alpha: float, alpha at which to make prediction intervals
Expand Down
4 changes: 2 additions & 2 deletions aeon/networks/_ae_fcn.py
Original file line number Diff line number Diff line change
Expand Up @@ -91,8 +91,8 @@ def __init__(
def build_network(self, input_shape, **kwargs):
"""Construct a network and return its input and output layers.

Arguments
---------
Parameters
----------
input_shape : tuple of shape = (n_timepoints (m), n_channels (d))
The shape of the data fed into the input layer.

Expand Down