如何计算模型的 运行 时间

Question

我使用了极限学习机 (ELM) 算法。我想计算训练时间..我的问题是我得到了训练时间 0:00:00 我怀疑这个结果不正确

我的代码：

import numpy as np
import pandas as pd
from sklearn.preprocessing import MinMaxScaler
from scipy.linalg import pinv2
 import time

#import dataset
train = pd.read_excel('INRStrai.xlsx')
test = pd.read_excel('INRStes.xlsx')

#scaler data
scaler = MinMaxScaler()
X_train = scaler.fit_transform(train.values[:,1:])
y_train = scaler.fit_transform(train.values[:,:1])
X_test = scaler.fit_transform(test.values[:,1:])
y_test = scaler.fit_transform(test.values[:,:1])

#input size
input_size = X_train.shape[1]

#Number of neurons
hidden_size = 300

#weights & biases
input_weights = np.random.normal(size=[input_size,hidden_size])
biases = np.random.normal(size=[hidden_size])

#Activation Function
def relu(x):
   return np.maximum(x, 0, x)

#Calculations
def hidden_nodes(X):
    G = np.dot(X, input_weights)
    G = G + biases
    H = relu(G)

from datetime import timedelta
start_time = time.time()

# Perform lots of computations.
elapsed_time_secs = time.time() - start_time

msg = "Execution took: %s secs (Wall clock time)" % timedelta(seconds=round(elapsed_time_secs))
print(msg)

我得到执行时间：0:00:00秒，我怀疑执行时间不正确，为什么我得到这个结果时间

Answer 1

我使用以下方法计算了 运行 时间：

from datetime import datetime as dt

start = dt.now()
# process stuff
running_secs = (dt.now() - start).seconds