i have the code:
import streamlit as st
import pickle
import pandas as pd
import numpy as np
conc = pickle.load(open(‘obligation/Concrete.pkl’, ‘rb’))
def predict_strength(Cement,Blast_furnace_Slag,Fly_Ash,Water,SuperPlasticizer,CoarseAgg,Fine_Agg,Age):
prediction = conc.predict([[Cement,Blast_furnace_Slag,Fly_Ash,Water,SuperPlasticizer,CoarseAgg,Fine_Agg,Age]])
print(prediction)
return prediction
def main():
st.title(“Concrete Strength Prediction”)
Cement= st.text_input(“Cement”,“Type Here”)
Blast_furnace_Slag= st.text_input(“Blast_furnace_Slag”,“Type Here”)
Fly_Ash = st.text_input(“Fly_Ash”, “Type Here”)
Water = st.text_input(“Water”, “Type Here”)
SuperPlasticizer = st.text_input(“Super Plasticizers”, “Type Here”)
CoarseAgg = st.text_input(“Coarse Aggregate”, “Type Here”)
Fine_Agg = st.text_input(“Fine Aggregates”, “Type Here”)
Age = st.text_input(“Age”, “Type Here”)
result =“”
if st.button(“Predict”):
result = predict_strength(Cement,Blast_furnace_Slag,Fly_Ash,Water,SuperPlasticizer,CoarseAgg,Fine_Agg,Age)
st.success(“The output is {}”.format(result))
if name==‘main’:
main()
but when i am running it is showing the error on my browser as:
ValueError: node array from the pickle has an incompatible dtype: - expected: {‘names’: [‘left_child’, ‘right_child’, ‘feature’, ‘threshold’, ‘impurity’, ‘n_node_samples’, ‘weighted_n_node_samples’, ‘missing_go_to_left’], ‘formats’: [‘<i8’, ‘<i8’, ‘<i8’, ‘<f8’, ‘<f8’, ‘<i8’, ‘<f8’, ‘u1’], ‘offsets’: [0, 8, 16, 24, 32, 40, 48, 56], ‘itemsize’: 64} - got : [(‘left_child’, ‘<i8’), (‘right_child’, ‘<i8’), (‘feature’, ‘<i8’), (‘threshold’, ‘<f8’), (‘impurity’, ‘<f8’), (‘n_node_samples’, ‘<i8’), (‘weighted_n_node_samples’, ‘<f8’)]
Traceback:
File "C:\Users\soumya sharma\AppData\Local\Programs\Python\Python311\Lib\site-packages\streamlit\runtime\scriptrunner\script_runner.py", line 552, in _run_script
exec(code, module.__dict__)File "C:\Users\soumya sharma\PycharmProjects\pythonProject1\obligation\pages\07_Concrete.py", line 9, in <module>
conc = pickle.load(open('obligation/Concrete.pkl', 'rb'))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^File "sklearn\tree\_tree.pyx", line 728, in sklearn.tree._tree.Tree.__setstate__File "sklearn\tree\_tree.pyx", line 1434, in sklearn.tree._tree._check_node_ndar
what is the solution please help