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Feat/nf evaluation #891

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Fix conflicts
marcopeix committed Apr 8, 2024
commit 054b4be91cc0d48faf35b3c2ea172f89fe256aac
2 changes: 1 addition & 1 deletion nbs/models.ipynb
Original file line number Diff line number Diff line change
@@ -2884,7 +2884,7 @@
" \"conv_hidden_size\": tune.choice([32, 64, 128]),\n",
" \"learning_rate\": tune.loguniform(1e-4, 1e-1),\n",
" \"scaler_type\": tune.choice(['robust', 'standard']),\n",
" \"max_steps\": tune.quniform(lower=500, upper=5000, q=500),\n",
" \"max_steps\": tune.choice([500, 1000, 2000]),\n",
" \"batch_size\": tune.choice([32, 64, 128]),\n",
" \"windows_batch_size\": tune.choice([32, 64, 128, 256]),\n",
" \"loss\": None,\n",
12 changes: 12 additions & 0 deletions neuralforecast/auto.py
Original file line number Diff line number Diff line change
@@ -49,6 +49,7 @@

# %% ../nbs/models.ipynb 13
class AutoRNN(BaseAuto):
<<<<<<< HEAD

default_config = {
"input_size_multiplier": [-1, 4, 16, 64],
@@ -186,6 +187,9 @@ def __init__(
# %% ../nbs/models.ipynb 17
class AutoGRU(BaseAuto):

=======

>>>>>>> main
default_config = {
"input_size_multiplier": [-1, 4, 16, 64],
"inference_input_size_multiplier": [-1],
@@ -217,7 +221,15 @@ def __init__(
backend="ray",
callbacks=None,
):
<<<<<<< HEAD

=======
"""Auto RNN

**Parameters:**<br>

"""
>>>>>>> main
# Define search space, input/output sizes
if config is None:
config = self.get_default_config(h=h, backend=backend)
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