diff --git a/nbs/022_tslearner.ipynb b/nbs/022_tslearner.ipynb
index f0520bd1..2061edb9 100644
--- a/nbs/022_tslearner.ipynb
+++ b/nbs/022_tslearner.ipynb
@@ -265,10 +265,10 @@
"
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" \n",
" 0 | \n",
- " 1.464314 | \n",
- " 0.233333 | \n",
- " 1.400173 | \n",
- " 0.166667 | \n",
+ " 1.446255 | \n",
+ " 0.266667 | \n",
+ " 1.403359 | \n",
+ " 0.300000 | \n",
" 00:00 | \n",
"
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@@ -339,8 +339,8 @@
" \n",
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" 0 | \n",
- " 1.438072 | \n",
- " 0.200000 | \n",
+ " 1.286023 | \n",
+ " 0.400000 | \n",
" 00:00 | \n",
"
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@@ -600,11 +600,11 @@
" \n",
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" 0 | \n",
- " 221.817291 | \n",
- " 14.270400 | \n",
- " 209.151230 | \n",
- " 14.046944 | \n",
- " 00:01 | \n",
+ " 221.239578 | \n",
+ " 14.241582 | \n",
+ " 208.787231 | \n",
+ " 14.034328 | \n",
+ " 00:00 | \n",
"
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" \n",
""
@@ -619,9 +619,9 @@
],
"source": [
"X, y, splits = get_regression_data('AppliancesEnergy', split_data=False)\n",
- "X = X.astype('float32')\n",
- "y = y.astype('float32')\n",
"if X is not None: # This is to prevent a test fail when the data server is not available\n",
+ " X = X.astype('float32')\n",
+ " y = y.astype('float32')\n",
" batch_tfms = [TSStandardize()]\n",
" learn = TSRegressor(X, y, splits=splits, batch_tfms=batch_tfms, arch=None, metrics=mae, bs=512, train_metrics=True, device=default_device())\n",
" learn.fit_one_cycle(1, 1e-4)"
@@ -860,10 +860,10 @@
" \n",
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" 0 | \n",
- " 4114.624023 | \n",
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+ " 4616.225098 | \n",
+ " 53.340523 | \n",
+ " 7969.317871 | \n",
+ " 74.670258 | \n",
" 00:00 | \n",
"
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" \n",
@@ -932,9 +932,9 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "/Users/nacho/notebooks/tsai/nbs/022_tslearner.ipynb saved at 2024-02-11 10:55:07\n",
+ "/Users/nacho/notebooks/tsai/nbs/022_tslearner.ipynb saved at 2024-02-11 13:56:13\n",
"Correct notebook to script conversion! 😃\n",
- "Sunday 11/02/24 10:55:10 CET\n"
+ "Sunday 11/02/24 13:56:16 CET\n"
]
},
{
diff --git a/nbs/models/test.pth b/nbs/models/test.pth
index fcf8ad2e..7cd3f29a 100644
Binary files a/nbs/models/test.pth and b/nbs/models/test.pth differ