I'm trying to train Titanic's data with google colaboratory but i can't train with preprocess command. It gives me name 'train' is not defined error. How can i figure with this problem ?
import numpy as np
seed = 7
np.random.seed(seed)
import pandas as pd
train_df = pd.read_csv('/content/drive/MyDrive/Colab Notebooks/train.csv' , header=0)
preprocess(train)
group_titles(train)
num_epochs = 100
batch_size = 32
traindata, lengh_features = data_subset(train)
Y_train = np.array(train['Survived']).astype(int)
X_train = np.array(traindata).astype(float)
train_set_size = int(.67 * len(X_train))
model, history_model = create_model(train_set_size, lengh_features, num_epochs, batch_size)
plots(history_model)
X_validation = X_train[train_set_size:]
Y_validation = Y_train[train_set_size:]
loss_and_metrics = model.evaluate(X_validation, Y_validation, batch_size=batch_size)
print ("loss_and_metrics")
test(batch_size)
but i'm getting -> name 'train' is not defined error can you help me with this ? (I'm using google colab)
CodePudding user response:
It looks like you defined your variable with train_df
Exact excerpt:
train_df = pd.read_csv('/content/drive/MyDrive/Colab Notebooks/train.csv' , header=0)
Maybe you need to use train_df rather than train.