It looks like the set your having trouble with is the sample_data set on line 353. The problem is that it isnt even a valid string representation of lists - its missing the commas that JSON needs. So people can copy your code and be able to get an example working locally to help you debug.Īlso, if your working with a particular data set (like I think you are) it might be helpful to upload a sample of that (or a link to your github!!).Īlso, I dont think its your training set that might be the problem. If it really was a nested list of strings, and the strings, individually, were valid float representations, your asarray would work fine. What is left are just the lines of code that produce the problem, this makes it easier for someone on the forum, to try and help solve the problem. This would mean eliminating all un-necessary code and packages (especially packages that are modules that you wrote yourself) are removed in the example. Hey problem!! Everyone starts as beginner!Ī minimum working example (sometimes abbreviated as MWE) is the least number of lines of code that produces the error you see. Model_predictor = load_model_n_predict("models/xgboost_model4.pickle")įinal_result = get_key(prediction,prediction_label) Prediction = model_predictor.predict(sample_data) Model_predictor = load_model_n_predict("models/lgbm_model4.pickle") # final_result = get_key(prediction,prediction_label) # prediction = loaded_model.predict(sample_data) # loaded_model = joblib.load(open("models/catboost3_model.pickle","rb")) Policy_end_date_quarter= st.number_input("Policy End Data by quarter",1,5)įirst_transaction_date_day= st.number_input("First Transaction by Day",1,30)įirst_transaction_date_month= st.number_input("First Transaction by month",1,12) Policy_end_date_month= st.number_input("Policy End Data by month",1,12) Lets try to use pandas dataframe and convert strings into numeric classes from sklearn import preprocessing def convert (data): number preprocessing. Policy_end_date_day= st.number_input("Policy End Data by Day",1,30) 0 wrote a simple quiz code using two functions in python but a list is not defined. Policy_start_date_quarter= st.number_input("Policy Start Data by quarter",1,5) 'ValueError: could not convert string to float' when converting input. Some annotators may not function properly. ControlNet Package mmdet not found in current environment. ControlNet Package mmsegmentation not found in current environment. Policy_start_date_month= st.number_input("Policy Start Data by month",1,12) Some annotators may not function properly. Policy_start_date_day= st.number_input("Policy Start Data by Day",1,30) St.subheader("Automated EDA with pandas_profiling")ĭata_file=st.file_uploader("upload your dataset") From streamlit_pandas_profiling import st_profile_reportįrom pandas_profiling import ProfileReport
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