Tomáš Halama
04/24/2024, 9:30 PMApiError: status_code: 429, body: {'status': 429, 'data': None, 'message': 'Too many requests', 'details': 'You need to add a payment method to continue using the API, do so from <https://dashboard.nixtla.io>', 'code': 'A21', 'support': 'If you have questions or need support, please email <mailto:ops@nixtla.io|ops@nixtla.io>', 'requestID': 'KJL7MVVHVX'}
Benjamin Steurer
05/13/2024, 9:42 AMMonthlyForecastDF = timegpt.forecast(df=MonthlyDataDF, h=9, freq='MS', time_col='Date', target_col='MaxSales')
Xinrui Shao
05/14/2024, 12:49 PMINFO:nixtlats.nixtla_client:Using the following exogenous variables: holiday
INFO:nixtlats.nixtla_client:Calling Forecast Endpoint...
INFO:nixtlats.nixtla_client:Attempt 1 failed...
INFO:nixtlats.nixtla_client:Attempt 2 failed...
INFO:nixtlats.nixtla_client:Attempt 3 failed...
INFO:nixtlats.nixtla_client:Attempt 4 failed...
INFO:nixtlats.nixtla_client:Attempt 5 failed...
INFO:nixtlats.nixtla_client:Attempt 6 failed...
I would greatly appreciate any insights or suggestions on what might be causing this issue or further steps I could take to resolve it. Thank you very much for your help! Attached is a screenshot of the X_df I passed in:James Blackwood-Sewell
05/21/2024, 3:38 AMVidar Ingason
05/21/2024, 3:17 PMTracy Teal
05/22/2024, 7:44 PMXinrui Shao
05/23/2024, 8:08 PMTerry
05/24/2024, 3:34 PMVidar Ingason
05/25/2024, 1:45 PMnixtlar
R package.
Every now and then I get this error:
fcst <- nixtla_client_forecast
df = data_tbl,
h = horizon,
id_col = "unique_id",
time_col = "ds",
target_col = "y",
finetune_steps = 50,
model = "timegpt-1-long-horizon",
X_df = x_df
)
Frequency chosen: D
Error in `httr2::req_perform()`:
! Failed to perform HTTP request.
Caused by error in `curl::curl_fetch_memory()`:
! Timeout was reached: [<http://dashboard.nixtla.io|dashboard.nixtla.io>] SSL/TLS connection timeout
Then I run exactly the same code few seconds later and everything works.
Is this problem with the R package or the TimeGPT api?
I'm planning to use TimeGPT for a client of mine which needs updates every day. I will schedule the code to run so it's not like I'm monitoring the process. I'm a bit scared that every now and then the client won't get his updatd forecast because I got an error. I could add some retry mechanism but I'm curious if this is something that could be fixed.Praneeth Katuri
05/31/2024, 4:46 AMMiguel Gaspar
05/31/2024, 2:00 PMMiguel Gaspar
05/31/2024, 2:02 PMMiguel Gaspar
05/31/2024, 2:04 PMDANIEL KIM
06/04/2024, 9:57 PMfcst_df = nixtla_client.forecast(df, h = 24)
?
I am asking because I have sensitive time series data for the training setyeong nam tan
06/05/2024, 1:29 AMyeong nam tan
06/05/2024, 1:30 AMVidar Ingason
06/06/2024, 9:35 PMas.numeric(as.factor(categorical_variable))
, does this make sense?Vidar Ingason
06/10/2024, 11:09 PMVidar Ingason
06/11/2024, 4:12 PMservando torres
06/19/2024, 2:29 PMBill
06/24/2024, 4:05 AMJack
06/25/2024, 8:04 PMAlex Niemi
06/27/2024, 3:26 PMadd_history=True
. I have a dataframe, df_red
, with daily data rows, and I'm calling the forecast function as shown below with a forecast horizon, h=5
and add_history=True
.
df_fcst = nixtla_client.forecast(df_red, h=5, freq = 'B', time_col='target_date', target_col='today_close', add_history=True)
This returns the df_fcst
dataframe (screenshot below), which has a TimeGPT
forecast column. For each date/row in the TimeGPT
forecast column, does the value represent the forecast for h
periods (days in my case) from the date in the same row? E.g. Does the TimeGPT
value for 2023-08-23 represent the forecasted value for 2023-08-30 (in h=5
business days from 2023-08-23). I had assumed that it does (logical) but then came across something in the docs that seems to negate my assumption.Alex Niemi
06/28/2024, 5:05 PMcross_validation
and keep getting the same error (screenshot below). Seemed to be coming from the dtype
of my target_date
column (based on the error message) so I converted all date columns to datetime64[ns]
but still get the same error. Now I'm wondering if I've exceeded a limit for calling the API and that's why the error contains "`ApiError: status_code: 500`" Anybody know what's going wrong or how I can resolve it... it was working yesterday and I've tried everything that I (and Gemini and Perplexity and ChatGPT) can think of. Thank you!Xinrui Shao
07/02/2024, 2:54 PMXinrui Shao
07/04/2024, 5:29 PMAlex Niemi
07/05/2024, 12:55 PMAndreas Kaae
07/19/2024, 1:41 PM%pip install nixtla
Then in a separate cell:
from nixtla import NixtlaClient
I get an error: TypeError: issubclass() arg 1 must be a class
.
What am I missing here? 😄Sergio Kuan
07/21/2024, 5:21 PMLuca Spolidoro
07/22/2024, 10:37 AM