26 lines
712 B
Python
26 lines
712 B
Python
import pandas as pd
|
|
import numpy as np
|
|
from tensorflow import keras
|
|
import matplotlib.pyplot as plt
|
|
from keras import backend as K
|
|
from sklearn.metrics import mean_squared_error
|
|
|
|
model = keras.models.load_model('suicide_model.h5')
|
|
|
|
# train = pd.read_csv('train.csv')
|
|
# test = pd.read_csv('test.csv')
|
|
# validate = pd.read_csv('validate.csv')
|
|
|
|
# # podział train set
|
|
# X_train = train.loc[:, train.columns != 'suicides_no']
|
|
# y_train = train[['suicides_no']]
|
|
# X_test = test.loc[:, train.columns != 'suicides_no']
|
|
# y_test = test[['suicides_no']]
|
|
|
|
# predictions = model.predict(X_test)
|
|
|
|
# error = mean_squared_error(y_test, predictions)
|
|
|
|
# with open('eval_results.txt', 'a') as f:
|
|
# f.write(str(error) + "\n")
|