fix nixtla_client page render (#279)

Nixtla · Apr 3, 2024 · 9ca4ce3 · 9ca4ce3
1 parent e00bd51
commit 9ca4ce3
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Showing 2 changed files with 8 additions and 8 deletions.
diff --git a/nbs/nixtla_client.ipynb b/nbs/nixtla_client.ipynb
@@ -1252,9 +1252,9 @@
     "            Quantiles to forecast, list between (0, 1).\n",
     "            `level` and `quantiles` should not be used simultaneously.\n",
     "            The output dataframe will have the quantile columns\n",
-    "            formatted as TimeGPT-q-{int(100 * q)} for each q.\n",
+    "            formatted as TimeGPT-q-(100 * q) for each q.\n",
     "            100 * q represents percentiles but we choose this notation\n",
-    "            to avoid handling __dots__ (.) in names.\n",
+    "            to avoid having dots in column names.\n",
     "        finetune_steps : int (default=0)\n",
     "            Number of steps used to finetune learning TimeGPT in the\n",
     "            new data.\n",
@@ -1497,9 +1497,9 @@
     "            Quantiles to forecast, list between (0, 1).\n",
     "            `level` and `quantiles` should not be used simultaneously.\n",
     "            The output dataframe will have the quantile columns\n",
-    "            formatted as TimeGPT-q-{int(100 * q)} for each q.\n",
+    "            formatted as TimeGPT-q-(100 * q) for each q.\n",
     "            100 * q represents percentiles but we choose this notation\n",
-    "            to avoid handling __dots__ (.) in names.\n",
+    "            to avoid having dots in column names..\n",
     "        validate_api_key : bool (default=False)\n",
     "            If True, validates api_key before\n",
     "            sending requests.\n",

diff --git a/nixtlats/nixtla_client.py b/nixtlats/nixtla_client.py
@@ -1185,9 +1185,9 @@ def forecast(
             Quantiles to forecast, list between (0, 1).
             `level` and `quantiles` should not be used simultaneously.
             The output dataframe will have the quantile columns
-            formatted as TimeGPT-q-{int(100 * q)} for each q.
+            formatted as TimeGPT-q-(100 * q) for each q.
             100 * q represents percentiles but we choose this notation
-            to avoid handling __dots__ (.) in names.
+            to avoid having dots in column names.
         finetune_steps : int (default=0)
             Number of steps used to finetune learning TimeGPT in the
             new data.
@@ -1430,9 +1430,9 @@ def cross_validation(
             Quantiles to forecast, list between (0, 1).
             `level` and `quantiles` should not be used simultaneously.
             The output dataframe will have the quantile columns
-            formatted as TimeGPT-q-{int(100 * q)} for each q.
+            formatted as TimeGPT-q-(100 * q) for each q.
             100 * q represents percentiles but we choose this notation
-            to avoid handling __dots__ (.) in names.
+            to avoid having dots in column names..
         validate_api_key : bool (default=False)
             If True, validates api_key before
             sending requests.