# The basic examples Modeling/Submissions are not working, please help **URL:** \ **Category:** Tournament\ **Created:** [October 20, 2022, 7:30pm UTC](https://forum.numer.ai/t/the-basic-examples-modeling-submissions-are-not-working-please-help/5760 "2022-10-20T19:30:38Z")\ **Posts on this page:** 7\ **Page:** 1
**Author:** ![edddie](https://avatars.discourse-cdn.com/v4/letter/e/e495f1/32.png) [@edddie](https://forum.numer.ai/u/edddie)\ **Post date:** [October 20, 2022, 7:30pm UTC](https://forum.numer.ai/t/the-basic-examples-modeling-submissions-are-not-working-please-help/5760/1 "2022-10-20T19:30:38Z")
The code below yields the following error message: * * * AttributeError Traceback (most recent call last) ~\AppData\Local\Temp/ipykernel\_11660/55592206.py in 1 # submit predictions to numer.ai 2 predictions = model.predict(tournament\_data[feature\_names]) ----\> 3 predictions.to\_csv(“predictions.csv”) AttributeError: ‘numpy.ndarray’ object has no attribute ‘to\_csv’ ########################################################################## import pandas as pd from xgboost import XGBRegressor # training data contains features and targets training\_data = pd.read\_csv(“numerai\_training\_data.csv”).set\_index(“id”) # tournament data contains features only tournament\_data = pd.read\_csv(“numerai\_tournament\_data.csv”).set\_index(“id”) feature\_names = [f for f in training\_data.columns if “feature” in f] # train a model to make predictions on tournament data model = XGBRegressor(max\_depth=5, learning\_rate=0.01, n\_estimators=2000, colsample\_bytree=0.1) model.fit(training\_data[feature\_names], training\_data[“target”]) # submit predictions to numer.ai predictions = model.predict(tournament\_data[feature\_names]) predictions.to\_csv(“predictions.csv”) ---
**Author:** ![edddie](https://avatars.discourse-cdn.com/v4/letter/e/e495f1/32.png) [@edddie](https://forum.numer.ai/u/edddie)\ **Post date:** [October 20, 2022, 7:34pm UTC](https://forum.numer.ai/t/the-basic-examples-modeling-submissions-are-not-working-please-help/5760/2 "2022-10-20T19:34:43Z")
I solved the issue above with: pd.DataFrame(predictions).to\_csv(“predictions.csv”) But then comes the next problem. Uploading of the predictions is not working. This line of code: napi.upload\_predictions(“predictions.csv”, model\_id=“my model”) yields the following error message: Specified model\_id is not a UUID ---
**Author:** ![edddie](https://avatars.discourse-cdn.com/v4/letter/e/e495f1/32.png) [@edddie](https://forum.numer.ai/u/edddie)\ **Post date:** [October 20, 2022, 7:38pm UTC](https://forum.numer.ai/t/the-basic-examples-modeling-submissions-are-not-working-please-help/5760/3 "2022-10-20T19:38:18Z")
I tried this: import uuid model = str(uuid.uuid4()) napi.upload\_predictions(“predictions.csv”, model\_id=model) This yields the following error message: Unable to resolve model from id. ---
**Author:** ![shatteredx](https://avatars.discourse-cdn.com/v4/letter/s/ee59a6/32.png) [@shatteredx](https://forum.numer.ai/u/shatteredx)\ **Post date:** [October 20, 2022, 7:41pm UTC](https://forum.numer.ai/t/the-basic-examples-modeling-submissions-are-not-working-please-help/5760/4 "2022-10-20T19:41:14Z")
You need to pass your actual model id that you can get from [Numerai](https://numer.ai/models) ---
**Author:** ![edddie](https://avatars.discourse-cdn.com/v4/letter/e/e495f1/32.png) [@edddie](https://forum.numer.ai/u/edddie)\ **Post date:** [October 20, 2022, 7:47pm UTC](https://forum.numer.ai/t/the-basic-examples-modeling-submissions-are-not-working-please-help/5760/5 "2022-10-20T19:47:23Z")
Thanks a lot, now I have the next problem: Invalid submission headers. Headers must be id and prediction. ---
**Author:** ![shatteredx](https://avatars.discourse-cdn.com/v4/letter/s/ee59a6/32.png) [@shatteredx](https://forum.numer.ai/u/shatteredx)\ **Post date:** [October 20, 2022, 8:04pm UTC](https://forum.numer.ai/t/the-basic-examples-modeling-submissions-are-not-working-please-help/5760/6 "2022-10-20T20:04:23Z")
OK, you need to do something like this to put id and predictions headers in your submission csv: ```auto #download live data current_round = napi.get_current_round(tournament=8) napi.download_dataset("v4/live_int8.parquet", f"live_{current_round}_int8.parquet") live_data = pd.read_parquet(f"live_{current_round}_int8.parquet") #put predictions into live data dataframe live_data["prediction"] = model.predict(live_data[feature_names]) #make new dataframe with only the index (contains ids) predictions_df = live_data.index.to_frame() #copy predictions into new dataframe predictions_df["prediction"] = live_data["prediction"].copy() #csv file will have only id and prediction headers/columns predictions_df.to_csv("predictions.csv", index=False) submission_id = napi.upload_predictions("predictions.csv", model_id=model_id) ``` I’m sure there’s more elegant code to do this. This is just my amateur hack code. ---
**Author:** ![edddie](https://avatars.discourse-cdn.com/v4/letter/e/e495f1/32.png) [@edddie](https://forum.numer.ai/u/edddie)\ **Post date:** [October 21, 2022, 6:50pm UTC](https://forum.numer.ai/t/the-basic-examples-modeling-submissions-are-not-working-please-help/5760/7 "2022-10-21T18:50:37Z")
Thank you very much, I will try it out! 🙂