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fix nixtla_client page render #279

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Apr 3, 2024
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8 changes: 4 additions & 4 deletions nbs/nixtla_client.ipynb
Original file line number Diff line number Diff line change
Expand Up @@ -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",
Expand Down Expand Up @@ -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",
Expand Down
8 changes: 4 additions & 4 deletions nixtlats/nixtla_client.py
Original file line number Diff line number Diff line change
Expand Up @@ -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.
Expand Down Expand Up @@ -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.
Expand Down
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